CRAN Package Check Results for Package spinner

Last updated on 2025-04-19 12:49:37 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.0 14.15 1409.51 1423.66 OK
r-devel-linux-x86_64-debian-gcc 1.1.0 11.02 1568.47 1579.49 ERROR
r-devel-linux-x86_64-fedora-clang 1.1.0 1168.92 OK
r-devel-linux-x86_64-fedora-gcc 1.1.0 1076.06 OK
r-devel-windows-x86_64 1.1.0 16.00 349.00 365.00 OK
r-patched-linux-x86_64 1.1.0 13.47 1109.84 1123.31 OK
r-release-linux-x86_64 1.1.0 13.31 1376.18 1389.49 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 16.00 375.00 391.00 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 20.00 492.00 512.00 OK

Check Details

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [25m/16m] 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: 0.7659866 Val loss: 0.7341149 epoch: 20 Train loss: 0.808042 Val loss: 0.6612314 epoch: 30 Train loss: 0.8022793 Val loss: 0.7009055 epoch: 40 Train loss: 0.8256102 Val loss: 0.7278236 epoch: 50 Train loss: 0.7596276 Val loss: 0.5541421 epoch: 60 Train loss: 0.818784 Val loss: 0.6991025 epoch: 70 Train loss: 0.8792099 Val loss: 0.7784145 epoch: 80 Train loss: 0.8441877 Val loss: 0.7684612 epoch: 90 Train loss: 0.7958179 Val loss: 0.7204757 epoch: 100 Train loss: 0.7517213 Val loss: 0.6407273 epoch: 10 Train loss: 0.720401 Val loss: 0.8385364 epoch: 20 Train loss: 0.6913298 Val loss: 0.8840789 epoch: 30 Train loss: 0.6815652 Val loss: 0.8221923 early stop at epoch: 34 Train loss: 0.6452975 Val loss: 0.8411008 epoch: 10 Train loss: 0.636508 Val loss: 0.8330357 epoch: 20 Train loss: 0.5495335 Val loss: 0.5253728 epoch: 30 Train loss: 0.6896575 Val loss: 0.8746914 epoch: 40 Train loss: 0.8296844 Val loss: 0.6333951 epoch: 50 Train loss: 0.745621 Val loss: 0.4139685 epoch: 60 Train loss: 0.7416334 Val loss: 0.4933284 epoch: 70 Train loss: 0.7482867 Val loss: 0.6879858 epoch: 80 Train loss: 0.6564259 Val loss: 0.4345871 epoch: 90 Train loss: 0.7955425 Val loss: 0.9361955 epoch: 100 Train loss: 0.7076195 Val loss: 0.3475452 epoch: 10 Train loss: 0.6089332 Val loss: 0.5972283 epoch: 20 Train loss: 0.5784551 Val loss: 0.5668669 epoch: 30 Train loss: 0.6363761 Val loss: 0.4433118 epoch: 40 Train loss: 0.6818808 Val loss: 0.5353704 epoch: 50 Train loss: 0.7105612 Val loss: 0.5339793 early stop at epoch: 53 Train loss: 0.6779318 Val loss: 0.5859094 time: 235.201 sec elapsed epoch: 10 Train loss: 0.7408055 Val loss: 0.7436504 epoch: 20 Train loss: 0.6673247 Val loss: 0.7817948 epoch: 30 Train loss: 0.7852918 Val loss: 0.7609295 early stop at epoch: 37 Train loss: 0.7133445 Val loss: 0.7796354 epoch: 10 Train loss: 0.571084 Val loss: 0.6982887 epoch: 20 Train loss: 0.6337299 Val loss: 0.7422555 epoch: 30 Train loss: 0.6464611 Val loss: 0.7478114 early stop at epoch: 32 Train loss: 0.5851049 Val loss: 0.7496097 epoch: 10 Train loss: 0.7250235 Val loss: 0.7731116 epoch: 20 Train loss: 0.5592763 Val loss: 0.7321684 epoch: 30 Train loss: 0.6683444 Val loss: 0.8389676 early stop at epoch: 30 Train loss: 0.6683444 Val loss: 0.8389676 epoch: 10 Train loss: 0.6193432 Val loss: 0.6122573 epoch: 20 Train loss: 0.6083019 Val loss: 0.6236972 epoch: 30 Train loss: 0.6056659 Val loss: 0.6393533 epoch: 40 Train loss: 0.6262244 Val loss: 0.6603647 early stop at epoch: 48 Train loss: 0.6201879 Val loss: 0.7068439 time: 125.261 sec elapsed epoch: 10 Train loss: 0.3576724 Val loss: 0.3592256 epoch: 20 Train loss: 0.3475505 Val loss: 0.2623797 epoch: 30 Train loss: 0.3491144 Val loss: 0.2814696 early stop at epoch: 30 Train loss: 0.3491144 Val loss: 0.2814696 epoch: 10 Train loss: 0.3278425 Val loss: 0.4634346 epoch: 20 Train loss: 0.2553931 Val loss: 0.3547181 epoch: 30 Train loss: 0.3655723 Val loss: 0.3031662 early stop at epoch: 33 Train loss: 0.3442699 Val loss: 0.4686098 epoch: 10 Train loss: 0.2626021 Val loss: 0.3765374 epoch: 20 Train loss: 0.2573233 Val loss: 0.4080706 epoch: 30 Train loss: 0.2260934 Val loss: 0.308857 epoch: 40 Train loss: 0.252551 Val loss: 0.3881533 early stop at epoch: 40 Train loss: 0.252551 Val loss: 0.3881533 epoch: 10 Train loss: 0.2816511 Val loss: 0.2232394 epoch: 20 Train loss: 0.2741527 Val loss: 0.3749744 epoch: 30 Train loss: 0.2923321 Val loss: 0.5085623 early stop at epoch: 30 Train loss: 0.2923321 Val loss: 0.5085623 time: 90.423 sec elapsed epoch: 10 Train loss: 0.124111 Val loss: 0.5333267 epoch: 20 Train loss: 0.124111 Val loss: 0.5373802 epoch: 30 Train loss: 0.124111 Val loss: 0.5373802 early stop at epoch: 32 Train loss: 0.124111 Val loss: 0.541256 epoch: 10 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 20 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 30 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 40 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 50 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 60 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 70 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 80 Train loss: 0.8442053 Val loss: 0.6346582 epoch: 90 Train loss: 0.8442053 Val loss: 0.6102435 epoch: 100 Train loss: 0.8442053 Val loss: 0.633682 epoch: 10 Train loss: 0.3443668 Val loss: 0.3478633 epoch: 20 Train loss: 0.3443668 Val loss: 0.3478328 epoch: 30 Train loss: 0.3981299 Val loss: 0.3478633 early stop at epoch: 36 Train loss: 0.3443668 Val loss: 0.4573814 time: 49.414 sec elapsed epoch: 10 Train loss: 0.4913252 Val loss: 0.5665646 epoch: 20 Train loss: 0.4969751 Val loss: 0.5615718 epoch: 30 Train loss: 0.4969751 Val loss: 0.5656311 early stop at epoch: 32 Train loss: 0.4969751 Val loss: 0.5894521 epoch: 10 Train loss: 0.6917942 Val loss: 0.6814071 epoch: 20 Train loss: 0.6917942 Val loss: 0.7112719 epoch: 30 Train loss: 0.6917942 Val loss: 0.6814071 early stop at epoch: 31 Train loss: 0.6917942 Val loss: 0.7102574 epoch: 10 Train loss: 0.292282 Val loss: 0.2971435 epoch: 20 Train loss: 0.2709748 Val loss: 0.2966309 epoch: 30 Train loss: 0.2953261 Val loss: 0.2982189 early stop at epoch: 34 Train loss: 0.292282 Val loss: 0.6466354 time: 34.662 sec elapsed epoch: 10 Train loss: 0.5156276 Val loss: 0.6913504 epoch: 20 Train loss: 0.5764224 Val loss: 0.6665357 epoch: 30 Train loss: 0.5190421 Val loss: 0.6463594 early stop at epoch: 34 Train loss: 0.5394493 Val loss: 0.7108298 epoch: 10 Train loss: 0.5006213 Val loss: 0.2331069 epoch: 20 Train loss: 0.1669953 Val loss: 0.4394796 epoch: 30 Train loss: 0.4814278 Val loss: 0.2241329 early stop at epoch: 39 Train loss: 0.4677571 Val loss: 0.5591175 epoch: 10 Train loss: 0.7749323 Val loss: 0.7407612 epoch: 20 Train loss: 0.7327995 Val loss: 0.7231368 epoch: 30 Train loss: 0.7221075 Val loss: 0.7117426 early stop at epoch: 39 Train loss: 0.7418661 Val loss: 0.7900011 time: 71.142 sec elapsed random search: 155.232 sec elapsed epoch: 10 Train loss: 0.07086422 Val loss: 0.1399224 epoch: 20 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 30 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 40 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 50 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 60 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 70 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 80 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 90 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 100 Train loss: 0.07086422 Val loss: 0.07086422 epoch: 10 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 20 Train loss: 0.2012537 Val loss: 0.2196949 epoch: 30 Train loss: 0.1184543 Val loss: 0.1232533 early stop at epoch: 32 Train loss: 0.1184543 Val loss: 0.142332 epoch: 10 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 20 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 30 Train loss: 0.07893316 Val loss: 0.0940126 epoch: 40 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 50 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 60 Train loss: 0.2133071 Val loss: 0.08960439 epoch: 70 Train loss: 0.07893316 Val loss: 0.1643321 epoch: 80 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 90 Train loss: 0.07893316 Val loss: 0.2120731 epoch: 100 Train loss: 0.1629005 Val loss: 0.07893316 time: 78.266 sec elapsed epoch: 10 Train loss: 0.9611132 Val loss: 0.6279757 epoch: 20 Train loss: 0.9611132 Val loss: 0.6881495 epoch: 30 Train loss: 0.966729 Val loss: 0.6709068 epoch: 40 Train loss: 0.9611132 Val loss: 0.6266525 epoch: 50 Train loss: 0.9606615 Val loss: 0.631884 epoch: 60 Train loss: 0.9611132 Val loss: 0.7645265 epoch: 70 Train loss: 0.9611132 Val loss: 0.6891372 epoch: 80 Train loss: 0.9632016 Val loss: 0.631884 epoch: 90 Train loss: 0.9611132 Val loss: 0.6279757 epoch: 100 Train loss: 0.9611132 Val loss: 0.6266525 epoch: 10 Train loss: 0.1583338 Val loss: 0.9085938 epoch: 20 Train loss: 0.1664826 Val loss: 0.8992181 epoch: 30 Train loss: 0.1676515 Val loss: 0.8918774 early stop at epoch: 32 Train loss: 0.1583338 Val loss: 0.8987623 epoch: 10 Train loss: 0.8255163 Val loss: 0.4118542 epoch: 20 Train loss: 0.837421 Val loss: 0.3507648 epoch: 30 Train loss: 0.8271688 Val loss: 0.3503222 epoch: 40 Train loss: 0.8385611 Val loss: 0.3567543 epoch: 50 Train loss: 0.829322 Val loss: 0.3754638 early stop at epoch: 55 Train loss: 0.8631958 Val loss: 0.4169777 time: 74.298 sec elapsed epoch: 10 Train loss: 0.9800988 Val loss: 0.6621755 epoch: 20 Train loss: 0.9837885 Val loss: 0.6330552 epoch: 30 Train loss: 0.9780442 Val loss: 0.6268452 epoch: 40 Train loss: 0.9828517 Val loss: 0.7157108 epoch: 50 Train loss: 0.9883189 Val loss: 0.6464542 epoch: 60 Train loss: 0.9878187 Val loss: 0.584368 epoch: 70 Train loss: 0.9875962 Val loss: 0.6584551 epoch: 80 Train loss: 0.9882284 Val loss: 0.6355505 epoch: 90 Train loss: 0.9892242 Val loss: 0.7168831 epoch: 100 Train loss: 0.9879195 Val loss: 0.6969702 epoch: 10 Train loss: 0.3145941 Val loss: 0.923645 epoch: 20 Train loss: 0.3214385 Val loss: 0.8654934 epoch: 30 Train loss: 0.2939449 Val loss: 0.9217447 early stop at epoch: 34 Train loss: 0.2933834 Val loss: 0.9221433 epoch: 10 Train loss: 0.849735 Val loss: 0.7372547 epoch: 20 Train loss: 0.8554054 Val loss: 0.7706929 epoch: 30 Train loss: 0.8521165 Val loss: 0.7610737 epoch: 40 Train loss: 0.8463087 Val loss: 0.6991007 epoch: 50 Train loss: 0.8786181 Val loss: 0.7182654 epoch: 60 Train loss: 0.836822 Val loss: 0.7243682 epoch: 70 Train loss: 0.8694201 Val loss: 0.7981998 epoch: 80 Train loss: 0.840788 Val loss: 0.7153922 [ FAIL 1 | WARN 72 | 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: 3. Caused by error: ! stack expects each tensor to be equal size, but got [9] at entry 0 and [] at entry 1 Exception raised from check_stack_inputs at ../aten/src/ATen/native/TensorShape.cpp:2720 (most recent call first): frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0xb0 (0x7fb5cd40f120 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libc10.so) frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xfa (0x7fb5cd3b2a5a in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libc10.so) frame #2: <unknown function> + 0x2121fe8 (0x7fb5b3121fe8 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #3: at::native::stack(c10::ArrayRef<at::Tensor>, long) + 0x125 (0x7fb5b3130f85 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #4: <unknown function> + 0x305bfbb (0x7fb5b405bfbb in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #5: at::_ops::stack::redispatch(c10::DispatchKeySet, c10::ArrayRef<at::Tensor>, long) + 0x91 (0x7fb5b3852c51 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #6: <unknown function> + 0x4f68800 (0x7fb5b5f68800 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #7: <unknown function> + 0x4f68cee (0x7fb5b5f68cee in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #8: at::_ops::stack::call(c10::ArrayRef<at::Tensor>, long) + 0x21b (0x7fb5b3891ecb in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/libtorch_cpu.so) frame #9: at::stack(c10::ArrayRef<at::Tensor>, long) + 0x4c (0x7fb5c6c8b35c in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/liblantern.so) frame #10: _lantern_stack_tensorlist_intt + 0x5c (0x7fb5c68e31d0 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/lib/liblantern.so) frame #11: cpp_torch_namespace_stack_tensors_TensorList(XPtrTorchTensorList, XPtrTorchindex_int64_t) + 0x3d (0x7fb5c7b1fbfd in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/libs/torchpkg.so) frame #12: _torch_cpp_torch_namespace_stack_tensors_TensorList + 0x74 (0x7fb5c78f3df4 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/torch/libs/torchpkg.so) frame #13: <unknown function> + 0x104fba (0x7fb5e3104fba in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #14: <unknown function> + 0x14108e (0x7fb5e314108e in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #15: <unknown function> + 0x152294 (0x7fb5e3152294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #16: Rf_eval + 0x14b (0x7fb5e315264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #17: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #18: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #19: Rf_eval + 0x276 (0x7fb5e3152776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #20: <unknown function> + 0xccfce (0x7fb5e30ccfce in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #21: <unknown function> + 0x145790 (0x7fb5e3145790 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #22: <unknown function> + 0x152294 (0x7fb5e3152294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #23: Rf_eval + 0x14b (0x7fb5e315264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #24: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #25: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #26: Rf_eval + 0x276 (0x7fb5e3152776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #27: <unknown function> + 0x152f95 (0x7fb5e3152f95 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #28: Rf_eval + 0x428 (0x7fb5e3152928 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #29: <unknown function> + 0x11c32e (0x7fb5e311c32e in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #30: <unknown function> + 0x11dc04 (0x7fb5e311dc04 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #31: <unknown function> + 0x145790 (0x7fb5e3145790 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #32: <unknown function> + 0x152294 (0x7fb5e3152294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #33: Rf_eval + 0x14b (0x7fb5e315264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #34: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #35: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #36: <unknown function> + 0x155fb9 (0x7fb5e3155fb9 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #37: <unknown function> + 0x1a07f3 (0x7fb5e31a07f3 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #38: <unknown function> + 0x1a0ee9 (0x7fb5e31a0ee9 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #39: <unknown function> + 0x1a112b (0x7fb5e31a112b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #40: <unknown function> + 0x14558f (0x7fb5e314558f in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #41: <unknown function> + 0x152294 (0x7fb5e3152294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #42: Rf_eval + 0x14b (0x7fb5e315264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #43: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #44: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #45: Rf_eval + 0x276 (0x7fb5e3152776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #46: <unknown function> + 0x22057a (0x7fb5e322057a in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #47: <unknown function> + 0x226218 (0x7fb5e3226218 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #48: Rf_eval + 0x516 (0x7fb5e3152a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #49: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #50: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #51: R_forceAndCall + 0x163 (0x7fb5e3157f23 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #52: <unknown function> + 0x18daf8 (0x7fb5e318daf8 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #53: <unknown function> + 0x145790 (0x7fb5e3145790 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #54: <unknown function> + 0x152294 (0x7fb5e3152294 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #55: Rf_eval + 0x14b (0x7fb5e315264b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #56: <unknown function> + 0x1547ae (0x7fb5e31547ae in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #57: <unknown function> + 0x155547 (0x7fb5e3155547 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #58: Rf_eval + 0x276 (0x7fb5e3152776 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #59: <unknown function> + 0x157940 (0x7fb5e3157940 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #60: Rf_eval + 0x516 (0x7fb5e3152a16 in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #61: <unknown function> + 0x15632b (0x7fb5e315632b in /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libR.so) frame #62: Rf_eval + 0x516 (0x7fb5e3152a16 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$edge_to_node(...) 15. │ └─base::mapply(...) 16. │ └─spinner (local) `<fn>`(i = dots[[1L]][[3L]]) 17. │ ├─torch::torch_max(...) 18. │ │ ├─base::do.call(.torch_max, as.list(environment())) 19. │ │ ├─base::as.list(environment()) 20. │ │ └─base::as.list.environment(environment()) 21. │ └─torch::torch_stack(...) 22. │ └─torch:::call_c_function(...) 23. │ └─torch:::do_call(f, args) 24. │ ├─base::do.call(fun, args) 25. │ └─torch (local) `<fn>`(tensors = `<list>`, dim = 1) 26. ├─base::stop(`<Rcpp::xc>`) 27. └─purrr (local) `<fn>`(`<Rcpp::xc>`) 28. └─cli::cli_abort(...) 29. └─rlang::abort(...) [ FAIL 1 | WARN 72 | SKIP 0 | PASS 46 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc