Running ‘testthat.R’ [18m/12m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/tests.html
  > # * https://testthat.r-lib.org/reference/test_package.html#special-files
  > 
  > library(testthat)
  > library(spinner)
  > 
  > test_check("spinner")
  epoch:  10    Train loss:  0.7427373    Val loss:  0.6466676 
  epoch:  20    Train loss:  0.7971116    Val loss:  0.7432907 
  epoch:  30    Train loss:  0.7630406    Val loss:  0.7413955 
  early stop at epoch:  35    Train loss:  0.6257653    Val loss:  0.8011147 
  epoch:  10    Train loss:  0.8103334    Val loss:  0.6308194 
  epoch:  20    Train loss:  0.6852089    Val loss:  0.5722898 
  epoch:  30    Train loss:  0.7942793    Val loss:  0.5872465 
  early stop at epoch:  32    Train loss:  0.8100585    Val loss:  0.6231734 
  epoch:  10    Train loss:  0.5546195    Val loss:  0.7583128 
  epoch:  20    Train loss:  0.6593109    Val loss:  0.6929089 
  epoch:  30    Train loss:  0.6369938    Val loss:  0.91651 
  early stop at epoch:  30    Train loss:  0.6369938    Val loss:  0.91651 
  epoch:  10    Train loss:  0.7341539    Val loss:  0.8754799 
  epoch:  20    Train loss:  0.6656327    Val loss:  0.7359822 
  epoch:  30    Train loss:  0.7498201    Val loss:  0.6566525 
  epoch:  40    Train loss:  0.6651416    Val loss:  0.7680067 
  early stop at epoch:  40    Train loss:  0.6651416    Val loss:  0.7680067 
  time: 129.243 sec elapsed
  epoch:  10    Train loss:  0.6812811    Val loss:  0.679482 
  epoch:  20    Train loss:  0.6724268    Val loss:  0.7174367 
  epoch:  30    Train loss:  0.7622324    Val loss:  0.7040043 
  epoch:  40    Train loss:  0.7682399    Val loss:  0.7612296 
  early stop at epoch:  42    Train loss:  0.7066138    Val loss:  0.7609637 
  epoch:  10    Train loss:  0.6925942    Val loss:  0.7227717 
  epoch:  20    Train loss:  0.6581931    Val loss:  0.7321661 
  epoch:  30    Train loss:  0.6933872    Val loss:  0.6978225 
  early stop at epoch:  32    Train loss:  0.6954632    Val loss:  0.7315416 
  epoch:  10    Train loss:  0.6700257    Val loss:  0.6435481 
  epoch:  20    Train loss:  0.6982217    Val loss:  0.6434174 
  epoch:  30    Train loss:  0.7004529    Val loss:  0.7534642 
  early stop at epoch:  36    Train loss:  0.7115034    Val loss:  0.7835827 
  epoch:  10    Train loss:  0.7228444    Val loss:  0.7720749 
  epoch:  20    Train loss:  0.7110978    Val loss:  0.5531902 
  epoch:  30    Train loss:  0.6815139    Val loss:  0.6141431 
  early stop at epoch:  37    Train loss:  0.6441206    Val loss:  0.7487475 
  time: 159.83 sec elapsed
  epoch:  10    Train loss:  0.3355711    Val loss:  0.2534122 
  epoch:  20    Train loss:  0.3068703    Val loss:  0.2673259 
  epoch:  30    Train loss:  0.2994305    Val loss:  0.2760171 
  early stop at epoch:  31    Train loss:  0.2927164    Val loss:  0.4410635 
  epoch:  10    Train loss:  0.383271    Val loss:  0.3440096 
  epoch:  20    Train loss:  0.3340058    Val loss:  0.30253 
  epoch:  30    Train loss:  0.3165099    Val loss:  0.2374027 
  early stop at epoch:  36    Train loss:  0.3206187    Val loss:  0.4567186 
  epoch:  10    Train loss:  0.230354    Val loss:  0.1374701 
  epoch:  20    Train loss:  0.2697901    Val loss:  0.3154251 
  epoch:  30    Train loss:  0.225886    Val loss:  0.2699007 
  early stop at epoch:  37    Train loss:  0.215624    Val loss:  0.3456191 
  epoch:  10    Train loss:  0.2870612    Val loss:  0.3071366 
  epoch:  20    Train loss:  0.2852652    Val loss:  0.2193651 
  epoch:  30    Train loss:  0.3054754    Val loss:  0.5118808 
  early stop at epoch:  30    Train loss:  0.3054754    Val loss:  0.5118808 
  time: 113.141 sec elapsed
  epoch:  10    Train loss:  0.7144919    Val loss:  0.4429172 
  epoch:  20    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  30    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  40    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  50    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  60    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  70    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  80    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  90    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  100    Train loss:  0.7144919    Val loss:  0.4430473 
  epoch:  10    Train loss:  0.5677102    Val loss:  0.6546447 
  epoch:  20    Train loss:  0.5677102    Val loss:  0.6546447 
  epoch:  30    Train loss:  0.565654    Val loss:  0.6546447 
  early stop at epoch:  32    Train loss:  0.5677102    Val loss:  0.7105337 
  epoch:  10    Train loss:  0.3586842    Val loss:  0.3090451 
  epoch:  20    Train loss:  0.3586842    Val loss:  0.3096586 
  epoch:  30    Train loss:  0.4092952    Val loss:  0.3100625 
  early stop at epoch:  36    Train loss:  0.3586842    Val loss:  0.446481 
  time: 60.895 sec elapsed
  epoch:  10    Train loss:  0.6229824    Val loss:  0.5846531 
  epoch:  20    Train loss:  0.6153509    Val loss:  0.5906786 
  epoch:  30    Train loss:  0.6153509    Val loss:  0.6154428 
  epoch:  40    Train loss:  0.6153509    Val loss:  0.6156597 
  early stop at epoch:  45    Train loss:  0.6153509    Val loss:  0.6486011 
  epoch:  10    Train loss:  0.70648    Val loss:  0.6637877 
  epoch:  20    Train loss:  0.7059581    Val loss:  0.663137 
  epoch:  30    Train loss:  0.7050275    Val loss:  0.6847074 
  epoch:  40    Train loss:  0.7262985    Val loss:  0.6948916 
  epoch:  50    Train loss:  0.7050275    Val loss:  0.6637877 
  epoch:  60    Train loss:  0.7050275    Val loss:  0.7171699 
  epoch:  70    Train loss:  0.7048842    Val loss:  0.6306562 
  epoch:  80    Train loss:  0.6981965    Val loss:  0.6629778 
  early stop at epoch:  88    Train loss:  0.733331    Val loss:  0.6933124 
  epoch:  10    Train loss:  0.5460362    Val loss:  0.416673 
  epoch:  20    Train loss:  0.5707664    Val loss:  0.4461512 
  epoch:  30    Train loss:  0.5166783    Val loss:  0.4523229 
  epoch:  40    Train loss:  0.4895069    Val loss:  0.4160472 
  early stop at epoch:  44    Train loss:  0.4666167    Val loss:  0.5622432 
  time: 66.135 sec elapsed
  epoch:  10    Train loss:  0.5300458    Val loss:  0.7015105 
  epoch:  20    Train loss:  0.6194451    Val loss:  0.6501151 
  epoch:  30    Train loss:  0.5625426    Val loss:  0.6635072 
  early stop at epoch:  31    Train loss:  0.5442784    Val loss:  0.7235754 
  epoch:  10    Train loss:  0.4501902    Val loss:  0.5267742 
  epoch:  20    Train loss:  0.4938545    Val loss:  0.5544385 
  epoch:  30    Train loss:  0.4899466    Val loss:  0.5525557 
  early stop at epoch:  34    Train loss:  0.4979809    Val loss:  0.5668108 
  epoch:  10    Train loss:  0.7479008    Val loss:  0.7335891 
  epoch:  20    Train loss:  0.7219248    Val loss:  0.6532515 
  epoch:  30    Train loss:  0.7435063    Val loss:  0.6926093 
  epoch:  40    Train loss:  0.7123573    Val loss:  0.6645259 
  epoch:  50    Train loss:  0.7475647    Val loss:  0.7302185 
  early stop at epoch:  57    Train loss:  0.7305914    Val loss:  0.8001736 
  time: 92.242 sec elapsed
  random search: 219.281 sec elapsed
  epoch:  10    Train loss:  0.07086423    Val loss:  0.1342499 
  epoch:  20    Train loss:  0.07086423    Val loss:  0.07086422 
  epoch:  30    Train loss:  0.07086423    Val loss:  0.1414617 
  early stop at epoch:  35    Train loss:  0.07086423    Val loss:  0.1934745 
  epoch:  10    Train loss:  0.2014554    Val loss:  0.1184543 
  epoch:  20    Train loss:  0.1184542    Val loss:  0.1184543 
  epoch:  30    Train loss:  0.1184542    Val loss:  0.1566563 
  early stop at epoch:  36    Train loss:  0.2014567    Val loss:  0.1602461 
  epoch:  10    Train loss:  0.08458351    Val loss:  0.0630628 
  epoch:  20    Train loss:  0.2402084    Val loss:  0.3215779 
  epoch:  30    Train loss:  0.2402084    Val loss:  0.1212605 
  early stop at epoch:  30    Train loss:  0.2402084    Val loss:  0.1212605 
  time: 33.11 sec elapsed
  epoch:  10    Train loss:  0.9933362    Val loss:  0.5774273 
  epoch:  20    Train loss:  0.9933362    Val loss:  0.6173813 
  epoch:  30    Train loss:  0.9946727    Val loss:  0.6299039 
  epoch:  40    Train loss:  0.9933362    Val loss:  0.5915908 
  epoch:  50    Train loss:  0.9947823    Val loss:  0.614851 
  epoch:  60    Train loss:  0.9933362    Val loss:  0.6438906 
  epoch:  70    Train loss:  0.9933362    Val loss:  0.6470538 
  epoch:  80    Train loss:  0.9933362    Val loss:  0.6003629 
  epoch:  90    Train loss:  0.9933362    Val loss:  0.6280305 
  epoch:  100    Train loss:  0.9933362    Val loss:  0.6045401 
  epoch:  10    Train loss:  0.3314421    Val loss:  0.8674183 
  epoch:  20    Train loss:  0.3401872    Val loss:  0.8598101 
  epoch:  30    Train loss:  0.3622523    Val loss:  0.8702906 
  early stop at epoch:  32    Train loss:  0.3314421    Val loss:  0.8555417 
  epoch:  10    Train loss:  0.7996266    Val loss:  0.530145 
  [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test.R:89:13'): Correct outcome format and size for base outcome3 ───
  <purrr_error_indexed/rlang_error/error/condition>
  Error in `purrr::pmap(hyper_params, ~spinner(graph, target, node_labels, 
      edge_labels, context_labels, direction = ..1, sampling = NA, 
      threshold = 0.01, method = ..2, node_embedding_size = ..13, 
      edge_embedding_size = ..14, context_embedding_size = ..15, 
      update_order = ..3, n_layers = ..4, skip_shortcut = ..5, 
      forward_layer = ..6, forward_activation = ..7, forward_drop = ..8, 
      mode = ..9, optimization = ..10, epochs, lr = ..11, patience, 
      weight_decay = ..12, reps, folds, holdout, verbose, seed))`: i In index: 2.
  Caused by error in `Tensor_slice()`:
  ! The shape of the mask [1] at index 0 does not match the shape of the indexed tensor [5] at index 0
  Exception raised from invalid_mask at ../aten/src/ATen/native/IndexingUtils.h:12 (most recent call first):
  frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0xb0 (0x7f046621c120 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libc10.so)
  frame #1: <unknown function> + 0x20b341c (0x7f044beb341c in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #2: at::meta::structured_index_Tensor::meta(at::Tensor const&, c10::IListRef<at::OptionalTensorRef>) + 0x3bd (0x7f044be9e94d in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #3: <unknown function> + 0x2f5841b (0x7f044cd5841b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #4: <unknown function> + 0x2f58618 (0x7f044cd58618 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #5: at::_ops::index_Tensor::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::List<std::optional<at::Tensor> > const&) + 0x8c (0x7f044c63f48c in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #6: <unknown function> + 0x4f3f523 (0x7f044ed3f523 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #7: <unknown function> + 0x4f3fd0b (0x7f044ed3fd0b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #8: at::_ops::index_Tensor::call(at::Tensor const&, c10::List<std::optional<at::Tensor> > const&) + 0x1be (0x7f044c6a495e in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #9: <unknown function> + 0x1977a25 (0x7f044b777a25 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #10: at::Tensor::index(c10::ArrayRef<at::indexing::TensorIndex>) const + 0xb3 (0x7f044b770943 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so)
  frame #11: _lantern_Tensor_index + 0x80 (0x7f045fc12d32 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/liblantern.so)
  frame #12: Tensor_slice(XPtrTorchTensor, Rcpp::Environment_Impl<Rcpp::PreserveStorage>, bool, Rcpp::Vector<19, Rcpp::PreserveStorage>) + 0x6fc (0x7f0460979a1c in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/libs/torchpkg.so)
  frame #13: _torch_Tensor_slice + 0xae (0x7f046087583e in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/libs/torchpkg.so)
  frame #14: <unknown function> + 0x104f82 (0x7f047bf04f82 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #15: <unknown function> + 0x14108e (0x7f047bf4108e in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #16: <unknown function> + 0x152294 (0x7f047bf52294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #17: Rf_eval + 0x14b (0x7f047bf5264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #18: <unknown function> + 0x1547ae (0x7f047bf547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #19: <unknown function> + 0x155547 (0x7f047bf55547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #20: <unknown function> + 0x155fb9 (0x7f047bf55fb9 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #21: <unknown function> + 0x1a07f3 (0x7f047bfa07f3 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #22: <unknown function> + 0x1a0ee9 (0x7f047bfa0ee9 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #23: <unknown function> + 0x159d40 (0x7f047bf59d40 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #24: <unknown function> + 0x220642 (0x7f047c020642 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #25: <unknown function> + 0x2250c8 (0x7f047c0250c8 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #26: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #27: <unknown function> + 0x1547ae (0x7f047bf547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #28: <unknown function> + 0x155547 (0x7f047bf55547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #29: R_forceAndCall + 0x163 (0x7f047bf57f23 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #30: <unknown function> + 0x18daf8 (0x7f047bf8daf8 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #31: <unknown function> + 0x145790 (0x7f047bf45790 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #32: <unknown function> + 0x152294 (0x7f047bf52294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #33: Rf_eval + 0x14b (0x7f047bf5264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #34: <unknown function> + 0x1547ae (0x7f047bf547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #35: <unknown function> + 0x155547 (0x7f047bf55547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #36: Rf_eval + 0x276 (0x7f047bf52776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #37: <unknown function> + 0x152f95 (0x7f047bf52f95 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #38: Rf_eval + 0x428 (0x7f047bf52928 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #39: <unknown function> + 0x129012 (0x7f047bf29012 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #40: <unknown function> + 0x145790 (0x7f047bf45790 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #41: <unknown function> + 0x152294 (0x7f047bf52294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #42: Rf_eval + 0x14b (0x7f047bf5264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #43: <unknown function> + 0x1547ae (0x7f047bf547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #44: <unknown function> + 0x155547 (0x7f047bf55547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #45: Rf_eval + 0x276 (0x7f047bf52776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #46: <unknown function> + 0x157940 (0x7f047bf57940 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #47: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #48: <unknown function> + 0x15632b (0x7f047bf5632b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #49: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #50: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #51: <unknown function> + 0x15632b (0x7f047bf5632b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #52: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #53: <unknown function> + 0x1547ae (0x7f047bf547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #54: <unknown function> + 0x155547 (0x7f047bf55547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #55: Rf_eval + 0x276 (0x7f047bf52776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #56: <unknown function> + 0x157940 (0x7f047bf57940 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #57: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #58: <unknown function> + 0x15632b (0x7f047bf5632b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #59: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #60: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #61: <unknown function> + 0x15632b (0x7f047bf5632b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  frame #62: Rf_eval + 0x516 (0x7f047bf52a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so)
  Backtrace:
       ▆
    1. ├─spinner::spinner_random_search(3, g, "edge", keep = FALSE) at test.R:89:13
    2. │ └─purrr::pmap(...)
    3. │   └─purrr:::pmap_("list", .l, .f, ..., .progress = .progress)
    4. │     ├─purrr:::with_indexed_errors(...)
    5. │     │ └─base::withCallingHandlers(...)
    6. │     ├─purrr:::call_with_cleanup(...)
    7. │     └─spinner (local) .f(...)
    8. │       └─spinner::spinner(...)
    9. │         └─spinner:::training_function(...)
   10. │           ├─torch::torch_cat(...)
   11. │           │ └─base::mget(x = c("tensors", "dim"))
   12. │           └─spinner (local) model(...)
   13. │             └─self[[lyr]](...)
   14. │               └─self$node_to_edge(...)
   15. │                 ├─torch::torch_stack(...)
   16. │                 │ └─base::mget(x = c("tensors", "dim"))
   17. │                 └─base::mapply(function(i) transformed_node_features[i, ], i = from_node)
   18. │                   └─spinner (local) `<fn>`(i = dots[[1L]][[8L]])
   19. │                     ├─transformed_node_features[i, ]
   20. │                     └─torch:::`[.torch_tensor`(transformed_node_features, i, )
   21. │                       └─torch:::tensor_slice(x, ..., drop = drop)
   22. │                         └─torch:::Tensor_slice(tensor, environment(), drop = drop, mask = .d)
   23. ├─base::stop(`<Rcpp::xc>`)
   24. └─purrr (local) `<fn>`(`<Rcpp::xc>`)
   25.   └─cli::cli_abort(...)
   26.     └─rlang::abort(...)
  
  [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ]
  Error: Test failures
  Execution halted