CRAN Package Check Results for Package spinner

Last updated on 2025-04-22 12:49:38 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.0 14.13 1310.45 1324.58 OK
r-devel-linux-x86_64-debian-gcc 1.1.0 10.06 1154.89 1164.95 ERROR
r-devel-linux-x86_64-fedora-clang 1.1.0 1168.92 OK
r-devel-linux-x86_64-fedora-gcc 1.1.0 1285.45 OK
r-devel-windows-x86_64 1.1.0 16.00 332.00 348.00 OK
r-patched-linux-x86_64 1.1.0 13.47 1109.84 1123.31 OK
r-release-linux-x86_64 1.1.0 11.91 1222.00 1233.91 OK
r-release-macos-arm64 1.1.0 280.00 OK
r-release-macos-x86_64 1.1.0 70.00 OK
r-release-windows-x86_64 1.1.0 17.00 350.00 367.00 OK
r-oldrel-macos-arm64 1.1.0 44.00 OK
r-oldrel-macos-x86_64 1.1.0 73.00 OK
r-oldrel-windows-x86_64 1.1.0 21.00 518.00 539.00 OK

Check Details

Version: 1.1.0
Check: tests
Result: ERROR 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 Flavor: r-devel-linux-x86_64-debian-gcc