Bump master by jjsjann123 · Pull Request #42 · csarofeen/pytorch

jjsjann123 · 2020-05-22T07:01:34Z

Just to bump up master to upstream/master. Please just stamp an approval.

Summary: Encoding errors occur when using anaconda python 3.6.10 to run hipify_python.py, e.g., "' ASCII 'codec can't decode byte 0xc3". Pull Request resolved: pytorch#37906 Differential Revision: D21549531 Pulled By: ezyang fbshipit-source-id: 2ffb5787e192a5c03711baa5c7e2577cb5bcab5a

Summary: This PR implements softmax support for sparse tensors. The sparse softmax is related to dense softmax when the values of unspecified sparse tensor entries are taken to be `-inf` that will have the effect of "zero entries ignored". This relation is used for testing the correctness of results here. Resolves pytorch#23651 for CPU. - [x] sparse softmax - [x] CPU C++ implementation - [x] unittests - [x] update softmax documentation - [x] autograd support - [x] sparse log_softmax - [x] CPU C++ implementation - [x] unittests - [x] update log_softmax documentation - [x] autograd support Pull Request resolved: pytorch#36305 Differential Revision: D21566540 Pulled By: ezyang fbshipit-source-id: a632ea69c38622f960721482e442efeb8d0a54fc

Summary: Hi, I found the validation that is unreachable in `gradcheck` function :) Pull Request resolved: pytorch#37915 Differential Revision: D21551661 Pulled By: albanD fbshipit-source-id: 8acadcc09cd2afb539061eda0ca5e98860e321eb

Summary: Return unmodified type from decorator if fbgemm is present. Fix `Tried to trace <__torch__.torch.classes.rnn.CellParamsBase object at 0x55f504c56b40> but it is not part of the active trace. Modules that are called during a trace must be registered as submodules of the thing being traced` thrown from `TestPostTrainingDynamic.test_quantized_rnn` by preserving modules in returned qRNNBase (i.e. by partially reverting pytorch#38134 ) Pull Request resolved: pytorch#38432 Differential Revision: D21567333 Pulled By: malfet fbshipit-source-id: 364fa2c8fc6e400b4f2e425b922a977756aec1d8

Summary: Together with pytorch#37758, this fixes pytorch#37743 and fixes pytorch#24861. This follows the CUDA fix in pytorch#37758, vectorised using a `blendv` to replace the if conditionals. Most of the complication is from `remainder` supporting `at::Half` where `fmod` doesn't. I've now got `fmod` working on `Vec256<at::Half>` as well as enabling half dispatch for `fmod` so it matches `remainder`. I also added `fmod` support to `Vec256<at::BFloat16>` before realising that `remainder` doesn't support `BFloat16` anyway. I could also enable `BFloat16` if that's desirable. If not, I don't think `Vec256<BFloat16>` should be missing `fmod` anyway. Pull Request resolved: pytorch#38293 Differential Revision: D21539801 Pulled By: ezyang fbshipit-source-id: abac6a3ed2076932adc459174cd3d8d510f3e1d5

Summary: Fixes pytorch#32079 Pull Request resolved: pytorch#37376 Differential Revision: D21476036 Pulled By: zou3519 fbshipit-source-id: 86907083c23cbaf165b645307fb340f2656b814e

Summary: Should unblock Lightning-AI/pytorch-lightning#1782. Pull Request resolved: pytorch#38296 Differential Revision: D21553296 Pulled By: albanD fbshipit-source-id: 9041a72d7cf8833e4b01bc767fd2321f17c7c5f2

Summary: "named_guard" is not a supported option (i.e., a typo). Pull Request resolved: pytorch#38429 Differential Revision: D21572794 Pulled By: zou3519 fbshipit-source-id: 6e799611344f373b03f64410d7af9c2c89a75f55

Summary: Pull Request resolved: pytorch#38407 We can still run some quantized tests even when fbgemm/qnnpack isn't enabled Test Plan: python test/test_quantization.py Imported from OSS Differential Revision: D21554257 fbshipit-source-id: e4fa8f61f6a6717881c00620ed7938c01ffbf958

Summary: Pull Request resolved: pytorch#35617 Python 2 has reached end-of-life and is no longer supported by PyTorch. Now we can clean up some cruft that we put in place to support it. Test Plan: CI Differential Revision: D20842883 Pulled By: dreiss fbshipit-source-id: 18dc5219ba99658c0ca7e2f26863df008c420e6a

Summary: Pull Request resolved: pytorch#35618 Python 2 has reached end-of-life and is no longer supported by PyTorch. Python 3 always uses true division. Test Plan: CI Differential Revision: D20842884 Pulled By: dreiss fbshipit-source-id: 522e34bb584d4bdb01c9c40eb267955062a57774

Summary: Pull Request resolved: pytorch#35620 Python 2 has reached end-of-life and is no longer supported by PyTorch. `self.subTest` can be used directly in Python 3. Test Plan: CI Differential Revision: D20842872 Pulled By: dreiss fbshipit-source-id: 6ad42550c01e6959821ff07df767fc14b58c5a9e

Summary: Pull Request resolved: pytorch#35621 Python 2 has reached end-of-life and is no longer supported by PyTorch. `func.__wrapped__` can be used directly in Python 3. Test Plan: CI Differential Revision: D20842875 Pulled By: dreiss fbshipit-source-id: 26f71df12db6d5118c8f278b27d747d647d07900

Summary: Pull Request resolved: pytorch#35623 Python 2 has reached end-of-life and is no longer supported by PyTorch. This test case is valid syntax in Python 3. Test Plan: CI Differential Revision: D20842874 Pulled By: dreiss fbshipit-source-id: 9f12e046f827d4f9d5eca99b0b0b46f73e06ff51

Summary: Pull Request resolved: pytorch#35624 Python 2 has reached end-of-life and is no longer supported by PyTorch. This test case is valid syntax in Python 3. Test Plan: CI Differential Revision: D20842877 Pulled By: dreiss fbshipit-source-id: 856e72171496aa1d517f2f27a8a5066462cf4f76

Summary: Pull Request resolved: pytorch#38414 `std::to_string` call is unnecessary when using glog. ghstack-source-id: 104030161 Test Plan: Ran the retry tests and checked logs to ensure correct message was printed upon message failure, Differential Revision: D21266330 fbshipit-source-id: 53519287778d47d99b94ea34b7c551f910affda2

…8365) Summary: These commits fixes a bug which was exposed when we took away the fallback path. The fix is to set the appropriate device before setting CUDA stream. The improvement is when compiling, setting the device to new device only if it's different from prior device, and removing redundant call to cudaFree Pull Request resolved: pytorch#38365 Reviewed By: zheng-xq Differential Revision: D21537469 Pulled By: protonu fbshipit-source-id: b9662dd623b5c7cfd23eb6894e992a43665641e4

pytorch#38267) Summary: Pull Request resolved: pytorch#38267 Assert that the rpcTimeout is positive in RpcBackendOptions constructor ghstack-source-id: 104029918 Test Plan: CI Differential Revision: D21509850 fbshipit-source-id: c925490e3d8fa2ffa42b0ae1170ca2f740af11f7

Summary: Turns out F.pad takes in dims in reverse order. Fixes pytorch#37844 Pull Request resolved: pytorch#37881 Differential Revision: D21554011 Pulled By: soumith fbshipit-source-id: a85a7f6db9f981d915728965903c5c57b6617c93

…g mode (pytorch#38158) Summary: TorchScript currently doesn’t support `*args, **kwargs` in method signature, which is extensively used in DPER3 low-level modules’ forward method. In order to make DPER3 low-level modules scriptable, I was thinking about a solution of having a forward method *only* for TorchScript, and replace the forward method when we are not in scripting mode. This solution works today, and I would like to add a test to make sure it will always work in the future. Pull Request resolved: pytorch#38158 Differential Revision: D21485657 Pulled By: yf225 fbshipit-source-id: df7368e8a5265418be7c305e6666ffd76e595466

Summary: Previous attempts to get this right: * pytorch#38335 * pytorch#38279 * pytorch#37976 This tag kept getting deleted before the docker image ci workflow could be merged causing it to have upstream breakages. It'd be best to make sure the garbage collector just doesnt garbage collect it. This is a pre-step to merge pytorch#38484 Signed-off-by: Eli Uriegas <eliuriegas@fb.com> Pull Request resolved: pytorch#38483 Differential Revision: D21577359 Pulled By: seemethere fbshipit-source-id: c4e0709bd8fff8f24a988b60eaa9f8c01576ef2f

Summary: Pull Request resolved: pytorch#37884 Adds support to use rpc_timeout param in rpc_async call from jit for parity with eager mode. Done by: 1) Add timeout as an input in ir_emitter.cpp if it is specified 2) Parse float IValue from inputs in `prim::rpc_async` operator. Give the default if needed. Added UTs in jit/rpc_test. ghstack-source-id: 104083031 Test Plan: Added UTs in jit/rpc_test. Differential Revision: D21268895 fbshipit-source-id: 34bb10a2ac08b67dd6b789121ab43e2c0e696229

Summary: Pull Request resolved: pytorch#38352 Fixes the RPC profiling by using the `then()` API added in pytorch#37311. Instead of adding a regular callback, we return a new future that completes when the profiling callback is finished. This is transparent to the user as the future still completes with the value of the original future (i.e. the RPC's return value) To make this work for RRef, we add a `_set_profiling_future` to set the profiling future, and `_get_profiling_future` to retrieve this future and wait on it in the tests. Re-enabled profiling tests and stress tested them 1000 times to verify the fix ghstack-source-id: 104086114 Test Plan: Re-enabled profiling tests Differential Revision: D21506940 fbshipit-source-id: 35cde22f0551c825c9bc98ddc24cca412878a63a

Summary: Pull Request resolved: pytorch#38501 Test Plan: Imported from OSS Differential Revision: D21579298 Pulled By: suo fbshipit-source-id: 4ac0b6beac26c97c1e0ff68304996ce62be8e8ce

…#38500) Summary: Pull Request resolved: pytorch#38500 Reported by Clang: ``` caffe2/aten/src/ATen/native/cuda/SortingKthValue.cu:77:56: error: '&&' within '||' [-Werror,-Wlogical-op-parentheses] || THCNumerics<scalar_t>::isnan(v) && THCNumerics<scalar_t>::isnan(kValue)); ~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ caffe2/aten/src/ATen/native/cuda/SortingKthValue.cu:77:56: note: place parentheses around the '&&' expression to silence this warning || THCNumerics<scalar_t>::isnan(v) && THCNumerics<scalar_t>::isnan(kValue)); ^ ( ) ``` Test Plan: ``` buck build mode/opt -c fbcode.cuda_use_clang=true fblearner/flow/projects/dper:workflow ``` Reviewed By: ngimel Differential Revision: D21578871 fbshipit-source-id: 83595152a370a4acbb2c3b5823dbae9c21485f06

Summary: GitHub commits: facebook/fb303@64bad39 facebook/fbthrift@d10385b facebookarchive/fbzmq@d1d606e facebook/folly@5b7309d facebook/litho@e5c84d2 facebook/mcrouter@6e64791 facebook/wangle@b9a2b34 facebook/watchman@d9c1059 facebookarchive/profilo@1bcde53 pytorch/FBGEMM@46981b8 Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 5299cef9c91612f176ff0c29d0cc3acf629d2240

…pytorch#38496) Summary: This will support another round of migration from hand-written configs to code generation. Pull Request resolved: pytorch#38496 Differential Revision: D21581624 Pulled By: kostmo fbshipit-source-id: aed814ef6d4fc6af9ce092727b2dacc99de14ae0

Summary: Pull Request resolved: pytorch#35614 Python 2 has reached end-of-life and is no longer supported by PyTorch. Now we can clean up a lot of cruft that we put in place to support it. These changes were all done manually, and I skipped anything that seemed like it would take more than a few seconds, so I think it makes sense to review it manually as well. Test Plan: CI Differential Revision: D20842876 Pulled By: dreiss fbshipit-source-id: 18abf0d324ed2185ec6d27c864e935d856dcc6ad

Summary: Pull Request resolved: pytorch#35625 Python 2 has reached end-of-life and is no longer supported by PyTorch. This function was already ifdef'ed out in Python 2. Added a comment about when we might be able to remove this entire file. Test Plan: CI Differential Revision: D20842885 Pulled By: dreiss fbshipit-source-id: 1fd3b1b2ff5a82caaf3bc11344dde2941427cfc0

Summary: Pull Request resolved: pytorch#38485 Python 2 has reached end-of-life and is no longer supported by PyTorch. This class does nothing in Python 3. Test Plan: CI Reviewed By: ailzhang Differential Revision: D21575260 Pulled By: dreiss fbshipit-source-id: 184696c9fa501e8d2517950b47cdbc90b2ae8053

…8862) Summary: Fixes pytorch#38861 (comment). 1. Error out if msvc env is activated but `DISTUTILS_USE_SDK` is not set. 2. Attempt to activate msvc env before running ninja build Pull Request resolved: pytorch#38862 Differential Revision: D21686343 Pulled By: ezyang fbshipit-source-id: 38b366654e2d0376dbdd21276689772b78e9718e

Summary: See https://www.sphinx-doc.org/en/master/man/sphinx-build.html#cmdoption-sphinx-build-j > Distribute the build over N processes in parallel, to make building on multiprocessor machines more effective. Note that not all parts and not all builders of Sphinx can be parallelized. If auto argument is given, Sphinx uses the number of CPUs as N. - Timing results - Python doc build on a 40-core machine: 9:34 down to 1:29 - pytorch_cpp_doc_push: ~1h 10m down to 47m - pytorch_python_doc_push: 34m down to 32m Pull Request resolved: pytorch#38785 Differential Revision: D21691991 Pulled By: zou3519 fbshipit-source-id: cfc5e8cd13414640f82edfd2ad1ce4d9c7afce12

) Summary: * Does a basic upload of release candidates to an extra folder within our S3 bucket. * Refactors AWS promotion to allow for easier development of restoration of backups Backup restoration usage: ``` RESTORE_FROM=v1.6.0-rc3 restore-backup.sh ``` Requires: * AWS credentials to upload / download stuff * Anaconda credentials to upload Pull Request resolved: pytorch#38690 Differential Revision: D21691033 Pulled By: seemethere fbshipit-source-id: 31118814db1ca701c55a3cb0bc32caa1e77a833d

Summary: Pull Request resolved: pytorch#38844 Enhances error message in ProcessGroupGloo to log the unsupported device. Been seeing a few issues with this and this will provide more debug information. Test Plan: CI Differential Revision: D21676881 fbshipit-source-id: 1fd727162682e1a55003adff67c4358dab488455

Summary: Documents new global variable pointing to PyTorch CMake config files Pull Request resolved: pytorch#38727 Differential Revision: D21694243 Pulled By: malfet fbshipit-source-id: 652532cd5da9945caf7d7dfe1fde696dc474661b

Summary: Generate the following `build.ninja` file and can successfully build: ``` cflags = -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA '-I/scratch/yuxinwu/space space/detectron2/layers/csrc' -I/private/home/yuxinwu/miniconda3/lib/python3.7 /site-packages/torch/include -I/private/home/yuxinwu/miniconda3/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/private/home/yuxinwu/miniconda3/lib/python3.7/site-packages/torc h/include/TH -I/private/home/yuxinwu/miniconda3/lib/python3.7/site-packages/torch/include/THC -I/public/apps/cuda/10.1/include -I/private/home/yuxinwu/miniconda3/include/python3.7m -c post_cflags = -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 cuda_cflags = -DWITH_CUDA '-I/scratch/yuxinwu/space space/detectron2/layers/csrc' -I/private/home/yuxinwu/miniconda3/lib/python3.7/site-packages/torch/include -I/private/home/yuxinwu/miniconda3/li b/python3.7/site-packages/torch/include/torch/csrc/api/include -I/private/home/yuxinwu/miniconda3/lib/python3.7/site-packages/torch/include/TH -I/private/home/yuxinwu/miniconda3/lib/python3.7/site -packages/torch/include/THC -I/public/apps/cuda/10.1/include -I/private/home/yuxinwu/miniconda3/include/python3.7m -c cuda_post_cflags = -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_ OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -ccbin=/public/apps/gcc/7.1.0/bin/gcc -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -std=c++14 ldflags = rule compile command = $cxx -MMD -MF $out.d $cflags -c $in -o $out $post_cflags depfile = $out.d deps = gcc rule cuda_compile command = $nvcc $cuda_cflags -c $in -o $out $cuda_post_cflags build /scratch/yuxinwu/space$ space/build/temp.linux-x86_64-3.7/scratch/yuxinwu/space$ space/detectron2/layers/csrc/vision.o: compile /scratch/yuxinwu/space$ space/detectron2/layers/csrc/vision.c$ p build /scratch/yuxinwu/space$ space/build/temp.linux-x86_64-3.7/scratch/yuxinwu/space$ space/detectron2/layers/csrc/box_iou_rotated/box_iou_rotated_cpu.o: compile /scratch/yuxinwu/space$ space/de$ ectron2/layers/csrc/box_iou_rotated/box_iou_rotated_cpu.cpp build /scratch/yuxinwu/space$ space/build/temp.linux-x86_64-3.7/scratch/yuxinwu/space$ space/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cpu.o: compile /scratch/yuxinwu/space$ space/de$ ectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cpu.cpp build /scratch/yuxinwu/space$ space/build/temp.linux-x86_64-3.7/scratch/yuxinwu/space$ space/detectron2/layers/csrc/nms_rotated/nms_rotated_cpu.o: compile /scratch/yuxinwu/space$ space/detectron2$ layers/csrc/nms_rotated/nms_rotated_cpu.cpp build /scratch/yuxinwu/space$ space/build/temp.linux-x86_64-3.7/scratch/yuxinwu/space$ space/detectron2/layers/csrc/ROIAlign/ROIAlign_cpu.o: compile /scratch/yuxinwu/space$ space/detectron2/layer$ /csrc/ROIAlign/ROIAlign_cpu.cpp ``` Pull Request resolved: pytorch#38670 Differential Revision: D21689613 Pulled By: ppwwyyxx fbshipit-source-id: 1f71b12433e18f6b0c6aad5e1b390b4438654563

…LF_AND_COMPLEX to c10::complex (pytorch#37697) Summary: These two macros only appear in `Dispatch.h` Pull Request resolved: pytorch#37697 Differential Revision: D21666340 Pulled By: anjali411 fbshipit-source-id: 1f31ab46c08b77f1011367e471874d390ffa70fb

Summary: Pull Request resolved: pytorch#38870 * Removed dtype data member from StorageImpl * Removed any methods or method arguments in Storage/StorageImpl that deal with dtypes * Update all callers of the changed API Part of issue pytorch#33950 Original PR: pytorch#38038 Reviewed By: albanD Differential Revision: D21549645 Pulled By: ezyang fbshipit-source-id: 4289b356c55ff6b9530376a79343b99b540ee3de

Summary: Pull Request resolved: pytorch#38825 Differential Revision: D21687353 Pulled By: ailzhang fbshipit-source-id: d99bb6d034b26e851ddaf7ff2ef572ae58cc20bc

Summary: Pull Request resolved: pytorch#38462 Test Plan: Imported from OSS Differential Revision: D21663878 Pulled By: anjali411 fbshipit-source-id: f58a173a1d7cd56986788a28a28c76dbf4386c01

Summary: Adds reduction support for the code generator. Reductions are fully supported with split/merge/reorder/rfactor/computeAt/unroll operators. There is also cross thread (intra-block) reduction support. The two remaining pieces missing for reduction support is: - Safety: If cross thread reduction was used, child operators shouldn't be able to bind that thread dim anymore - Cross block reduction: we will want inter-block reduction support to match parity with tensor iterator PR also provides FP16 support for fusions now. We insert casts on FP16 inputs to FP32, and we insert casts to FP16 on FP16 outputs. Also working towards reductions and shape inference for reductions in the fusion pass. Pull Request resolved: pytorch#38627 Reviewed By: albanD Differential Revision: D21663196 Pulled By: soumith fbshipit-source-id: 3ff2df563f86c39cd5821ab9c1148149e5172a9e

Summary: Instead of copying to a buffer, then setting a tensor's storage with that buffer, create a storage directly from the file ](https://our.intern.facebook.com/intern/diff/21057090/) Pull Request resolved: pytorch#36362 Pulled By: driazati Differential Revision: D21057090 fbshipit-source-id: e3d30a3b09f4d67bf4bb7a0dd7f4f60c3dd1a47e

Summary: Pull Request resolved: pytorch#38587 Before this diff, scale+zp were initialized to tensors with a single dimension and 1 element, and then switched to scalar tensors after the first forward. This diff makes the shape stay consistent. This should fix an issue reported when saving/loading models, which crashes on this inconsistent shape. Test Plan: ``` python test/test_quantization.py TestFakeQuantizePerTensor.test_fake_quant_preserves_qparam_shapes_for_activations ``` Imported from OSS Differential Revision: D21605532 fbshipit-source-id: e00cd268d6d3ded1006d18d6c6759c911b3a74ea

Summary: Pull Request resolved: pytorch#38878 We need to Packing op and shape extraction functions to make some of the FakeLowP tests run in OSS. Test Plan: unittests Reviewed By: hyuen Differential Revision: D21682704 fbshipit-source-id: f36321b91acfd738e90543309b82ad87b9e5c156

Test Plan: revert-hammer Differential Revision: D21057090 Original commit changeset: e3d30a3b09f4 fbshipit-source-id: b24cbe77aae38b321882e7dcf41022710ee28ed0

…orch#38902) Summary: Add `store_artifacts` attribtue to Windows build jobs In `vs_install.ps1` add logic to download vscollect tool and upload collected results as build artifacts Pull Request resolved: pytorch#38902 Differential Revision: D21700598 Pulled By: malfet fbshipit-source-id: b51c47ff44ac522ad5581624f5b9a9a86cf1e595

Summary: Pull Request resolved: pytorch#38734 As far as I can tell, this pass only exists to canonicalize ops that are generating in the graph fuser, so it's kind of a misnomer. Test Plan: Imported from OSS Differential Revision: D21673109 Pulled By: eellison fbshipit-source-id: b7bedf34ccaf1fcd442bfb2bbb990e64915f51d4

Summary: Pull Request resolved: pytorch#38735 Follow up to my comment pytorch#36597 This adds a pass to convert op aliases into a normalized form. Having two ops generated in our IR that do the same thing makes the IR harder for downstream consumers of the IR, such as TorchScript passes but also ONNX, glow, etc. Another solution would have been to fix our code generation to only emit `aten::abs` from the start. This seems trickier, and doesn't really buy us much if we still have to expose `aten::absolute` in C++, as glaringlee of the C++ API thinks we should. Bike shedding: maybe this should be `CanonicalizeOps` instead Test Plan: Imported from OSS Differential Revision: D21673108 Pulled By: eellison fbshipit-source-id: c328618907de1af22e07f57fd27fa619978c2817

Summary: Pull Request resolved: pytorch#38746 Factors out testing of op alias normalization so that there is a registry used for tests. Test Plan: Imported from OSS Differential Revision: D21673107 Pulled By: eellison fbshipit-source-id: e06653cdf24f14a4253dd054e4d402d171d16a11

Summary: Pull Request resolved: pytorch#38909 Differential Revision: D21701160 Pulled By: malfet fbshipit-source-id: 7eb81b76e3e9b269ded668e873e10695e7bb1ae4

…h#38151) Summary: Pull Request resolved: pytorch#38151 We need to expose this method to Clang unconditionally when building CUDA, otherwise it would error on device code calling `__ldg` with `Half*`. Test Plan: ``` buck build -c fbcode.caffe2_use_mpi=1 -c fbcode.cuda_use_clang=true mode/opt //experimental/training_supercomputer/trainer/hpc_pt:trainer ``` Reviewed By: ngimel Differential Revision: D21481297 fbshipit-source-id: aacfe7de2cdc8542908249081ddb58170b1e35ff

We can now get cpp stack trace by calling torch.utils.get_cpp_backtrace() Sample output when calling from a torch_dispatch stack: ``` <omitting python frames> frame #23: torch::handle_torch_function_no_python_arg_parser(c10::ArrayRef<pybind11::handle>, _object*, _object*, char const*, _object*, char const*, torch::TorchFunctionName) (0x7f69330bab90 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/utils/python_arg_parser.cpp:323) frame #24: <unknown function> (0x7f6932a09e79 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/autograd/python_variable.cpp:2252) frame #25: <unknown function> (0x7f69261aee33 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/PythonFallbackKernel.cpp:56) frame #26: <unknown function> (0x7f69261afef9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/BoxedKernel_impl.h:19) frame #27: c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6932aadced in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/BoxedKernel_impl.h:41) frame #28: <unknown function> (0x7f6926fae9b9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/boxing.h:227) frame #29: at::Tensor c10::Dispatcher::redispatch<at::Tensor, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)> const&, c10::DispatchKeySet, at::Tensor const&) const (0x7f6926e821f5 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/KernelFunction_impl.h:106) frame #30: at::_ops::alias::redispatch(c10::DispatchKeySet, at::Tensor const&) (0x7f6927142c31 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:438) frame #31: <unknown function> (0x7f692ae4f8be in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp:1361) frame #32: <unknown function> (0x7f692ae4f9b1 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp:1362) frame #33: <unknown function> (0x7f692aef77e9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13) frame #34: <unknown function> (0x7f6926fae7d8 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/KernelFunction_impl.h:50) frame #35: at::Tensor c10::Dispatcher::redispatch<at::Tensor, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)> const&, c10::DispatchKeySet, at::Tensor const&) const (0x7f6926e821c9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/KernelFunction_impl.h:97) frame #36: at::_ops::alias::redispatch(c10::DispatchKeySet, at::Tensor const&) (0x7f6927142c31 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:438) frame #37: <unknown function> (0x7f6929ec654a in /fsx/users/bahuang/repos/pytorch_fsx/build/aten/src/ATen/RedispatchFunctions.h:10697) frame #38: <unknown function> (0x7f6929d9edae in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/autograd/generated/VariableType_1.cpp:2837) frame #39: <unknown function> (0x7f6929d9f043 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/autograd/generated/VariableType_1.cpp:2838) frame #40: <unknown function> (0x7f6929e7d2f9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13) frame #41: <unknown function> (0x7f6929eb1344 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:478) frame #42: <unknown function> (0x7f6929ea7b99 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:490) frame #43: <unknown function> (0x7f6929e7d370 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:563) frame #44: <unknown function> (0x7f6929e7d43a in /fsx/users/bahuang/repos/pytorch_fsx/c10/util/C++17.h:239) frame #45: <unknown function> (0x7f6929e7d48c in /fsx/users/bahuang/repos/pytorch_fsx/c10/util/C++17.h:364) frame #46: <unknown function> (0x7f6929e7d50a in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:554) frame #47: c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6932aadced in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/BoxedKernel_impl.h:41) frame #48: c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6932aadd26 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/KernelFunction_impl.h:43) frame #49: c10::Dispatcher::redispatchBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f692603890a in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:652) frame #50: <unknown function> (0x7f69260387f9 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:388) frame #51: <unknown function> (0x7f69261af0ef in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/PythonFallbackKernel.cpp:96) frame #52: <unknown function> (0x7f69261aff2b in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/BoxedKernel_impl.h:25) frame #53: c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6932aadced in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/BoxedKernel_impl.h:41) frame #54: c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6932aadd26 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/boxing/KernelFunction_impl.h:43) frame #55: c10::Dispatcher::callBoxed(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const (0x7f6925fd6ab2 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:628) frame #56: <unknown function> (0x7f6925fd6690 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:376) frame #57: <unknown function> (0x7f692bf5b525 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/dispatch/Dispatcher.h:380) frame #58: <unknown function> (0x7f692bf59fac in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/jit/runtime/register_c10_ops.cpp:15) frame #59: <unknown function> (0x7f692bf5af41 in /usr/include/c++/7/bits/std_function.h:316) frame #60: std::function<void (std::vector<c10::IValue, std::allocator<c10::IValue> >&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const (0x7f6932ab9a0f in /usr/include/c++/7/bits/std_function.h:706) frame #61: <unknown function> (0x7f6932aad541 in /fsx/users/bahuang/repos/pytorch_fsx/aten/src/ATen/core/stack.h:41) frame #62: <unknown function> (0x7f6932ab3102 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/jit/python/pybind_utils.h:1206 (discriminator 1)) frame #63: <unknown function> (0x7f6932ab3943 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/jit/python/pybind_utils.h:1272) frame #64: <unknown function> (0x7f6932a46120 in /fsx/users/bahuang/repos/pytorch_fsx/torch/csrc/jit/python/init.cpp:1767) frame #65: <unknown function> (0x7f6932a997be in /fsx/users/bahuang/repos/pytorch_fsx/third_party/pybind11/include/pybind11/cast.h:1441) frame #66: <unknown function> (0x7f6932a8a985 in /fsx/users/bahuang/repos/pytorch_fsx/third_party/pybind11/include/pybind11/cast.h:1410) frame #67: <unknown function> (0x7f6932a66e1e in /fsx/users/bahuang/repos/pytorch_fsx/third_party/pybind11/include/pybind11/pybind11.h:249) frame #68: <unknown function> (0x7f6932a66ec2 in /fsx/users/bahuang/repos/pytorch_fsx/third_party/pybind11/include/pybind11/pybind11.h:224) frame #69: <unknown function> (0x7f6932473111 in /fsx/users/bahuang/repos/pytorch_fsx/third_party/pybind11/include/pybind11/pybind11.h:929) frame #104: __libc_start_main (0x7f693485dc87 in /build/glibc-uZu3wS/glibc-2.27/csu/../csu/libc-start.c:310) ``` Pull Request resolved: pytorch#84896 Approved by: https://github.com/ezyang

When tensor is resized, reference array to it's sizes may become invalid. Make a copy in advance. <details> <summary>ASAN report</summary> ``` ================================================================= ==1115867==ERROR: AddressSanitizer: heap-use-after-free on address 0x61000013d790 at pc 0x03ff8e7da360 bp 0x03fff53c83a0 sp 0x03fff53c8390 READ of size 8 at 0x61000013d790 thread T0 #0 0x3ff8e7da35f in c10::SymInt::is_heap_allocated() const /home/user/pytorch/c10/core/SymInt.h:154 #1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215 csarofeen#2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69 csarofeen#3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177 csarofeen#4 0x3ff7a9aaedd in bool std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++- v11/bits/stl_algobase.h:1162 csarofeen#5 0x3ff7a9aae4b in bool std::__equal_aux1<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/ stl_algobase.h:1211 csarofeen#6 0x3ff7a9aae05 in bool std::__equal_aux<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/s tl_algobase.h:1219 csarofeen#7 0x3ff7a9aad97 in bool std::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_alg obase.h:1556 csarofeen#8 0x3ff4b23c771 in c10::ArrayRef<c10::SymInt>::equals(c10::ArrayRef<c10::SymInt>) const /home/user/pytorch/c10/util/ArrayRef.h:188 csarofeen#9 0x3ff4cb91bc1 in bool c10::operator!=<c10::SymInt>(c10::ArrayRef<c10::SymInt>, c10::ArrayRef<c10::SymInt>) /home/user/pytorch/c10/util/ArrayRef.h:341 csarofeen#10 0x3ff6d1b57ff in torch::ADInplaceOrView::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/torch/csrc/autograd/Variab leTypeManual.cpp:408 csarofeen#11 0x3ff6d1e59c7 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1 0::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#12 0x3ff6d1e59c7 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10: :ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::Sy mInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::Disp atchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#13 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#14 0x3ff51ca6e8f in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#15 0x3ff51ca6e8f in at::Tensor const& c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Ten sor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#16 0x3ff5182006b in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c 10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#17 0x3ff5182006b in at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2144 csarofeen#18 0x3ff6d1d5e07 in at::redispatch::resize__symint(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#19 0x3ff6d1bbb67 in torch::autograd::VariableType::(anonymous namespace)::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pyto rch/torch/csrc/autograd/VariableTypeManual.cpp:243 csarofeen#20 0x3ff6d1bd197 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1 0::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10 ::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFu nctionIntoFunctor.h:13 csarofeen#21 0x3ff6d1bd197 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10: :ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c 10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor .h:480 csarofeen#22 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#23 0x3ff5181ead1 in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#24 0x3ff5181ead1 in at::Tensor const& c10::Dispatcher::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor co nst& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/at en/src/ATen/core/dispatch/Dispatcher.h:639 csarofeen#25 0x3ff5181ead1 in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487 csarofeen#26 0x3ff5181ead1 in at::_ops::resize_::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2137 csarofeen#27 0x3ff79b44fcf in at::Tensor::resize__symint(c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const aten/src/ATen/core/TensorBody.h:2452 csarofeen#28 0x3ff79a802db in torch::autograd::THPVariable_resize_(_object*, _object*, _object*)::$_0::operator()(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/us er/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13417 csarofeen#29 0x3ff7999f1eb in torch::autograd::THPVariable_resize_(_object*, _object*, _object*) /home/user/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13419 csarofeen#30 0x3ffa2c9b009 in method_vectorcall_VARARGS_KEYWORDS Objects/descrobject.c:344 csarofeen#31 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#32 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#33 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#34 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#35 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#36 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#37 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#38 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#39 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#40 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#41 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#42 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#43 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#44 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#45 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#46 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#47 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#48 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#49 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#50 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#51 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#52 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#53 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#54 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#55 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#56 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#57 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#58 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#59 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#60 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#61 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#62 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#63 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#64 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#65 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#66 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#67 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#68 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#69 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#70 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#71 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#72 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#73 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#74 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#75 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#76 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#77 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#78 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#79 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#80 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#81 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#82 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#83 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#84 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#85 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#86 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#87 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#88 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#89 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#90 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#91 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#92 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#93 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#94 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#95 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#96 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#97 0x3ffa2c8ab9b in PyVectorcall_Call Objects/call.c:267 csarofeen#98 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#99 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#100 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#101 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#102 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#103 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#104 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#105 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#106 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#107 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#108 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#109 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#110 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#111 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#112 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#113 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#114 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#115 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#116 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#117 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#118 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#119 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#120 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#121 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#122 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#123 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#124 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#125 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#126 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#127 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#128 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#129 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#130 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#131 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#132 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#133 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#134 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#135 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#136 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#137 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#138 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#139 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#140 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#141 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#142 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#143 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#144 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#145 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#146 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#147 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#148 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#149 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#150 0x3ffa2c8ad17 in _PyObject_Call Objects/call.c:305 csarofeen#151 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#152 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#153 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#154 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#155 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#156 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#157 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#158 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#159 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#160 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#161 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#162 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#163 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#164 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#165 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#166 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#167 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#168 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#169 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#170 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#171 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#172 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#173 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#174 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#175 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#176 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#177 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#178 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#179 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#180 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#181 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#182 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#183 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#184 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#185 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#186 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#187 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#188 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#189 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#190 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#191 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#192 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#193 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#194 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#195 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#196 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#197 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#198 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#199 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#200 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#201 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#202 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#203 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#204 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#205 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#206 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#207 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#208 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#209 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#210 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#211 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#212 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#213 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#214 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#215 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#216 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#217 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#218 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#219 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#220 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#221 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#222 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#223 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#224 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#225 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#226 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#227 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#228 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#229 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#230 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#231 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#232 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#233 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#234 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#235 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#236 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#237 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#238 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#239 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#240 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#241 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#242 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#243 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#244 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#245 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#246 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#247 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#248 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#249 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#250 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#251 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#252 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#253 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#254 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#255 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#256 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#257 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 0x61000013d790 is located 80 bytes inside of 192-byte region [0x61000013d740,0x61000013d800) freed by thread T0 here: #0 0x3ffa3237de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x3ff8e7e3221 in c10::TensorImpl::~TensorImpl() /home/user/pytorch/c10/core/TensorImpl.cpp:75 previously allocated by thread T0 here: #0 0x3ffa323734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 #1 0x3ff4aeeb3d1 in c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_null_type<c10::TensorImpl> > c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_nul l_type<c10::TensorImpl> >::make<c10::intrusive_ptr<c10::StorageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >, c10::DispatchKeySet&, caffe2::TypeMeta&>(c10::intrusive_ptr<c10::S torageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >&&, c10::DispatchKeySet&, caffe2::TypeMeta&) /home/user/pytorch/c10/util/intrusive_ptr.h:498 csarofeen#2 0x3ff76f79e17 (/home/user/pytorch/build/lib.linux-s390x-cpython-310/torch/lib/libtorch_cpu.so+0x2fb79e17) SUMMARY: AddressSanitizer: heap-use-after-free /home/user/pytorch/c10/core/SymInt.h:154 in c10::SymInt::is_heap_allocated() const Shadow bytes around the buggy address: 0x100c2000027aa0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd 0x100c2000027ab0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027ac0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd 0x100c2000027ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd =>0x100c2000027af0: fd fd[fd]fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027b00: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00 0x100c2000027b10: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x100c2000027b20: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00 0x100c2000027b30: 00 00 00 00 04 fa fa fa fa fa fa fa fa fa fa fa 0x100c2000027b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa Shadow byte legend (one shadow byte represents 8 application bytes): Addressable: 00 Partially addressable: 01 02 03 04 05 06 07 Heap left redzone: fa Freed heap region: fd Stack left redzone: f1 Stack mid redzone: f2 Stack right redzone: f3 Stack after return: f5 Stack use after scope: f8 Global redzone: f9 Global init order: f6 Poisoned by user: f7 Container overflow: fc Array cookie: ac Intra object redzone: bb ASan internal: fe Left alloca redzone: ca Right alloca redzone: cb Shadow gap: cc ==1115867==ABORTING ``` </details> <details> <summary>Additional backtraces (not full)</summary> Memory deallocation: ``` #0 operator delete (ptr=0x61000013d740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75 csarofeen#2 0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291 csarofeen#3 0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370 csarofeen#4 0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80 csarofeen#5 0x000003ff63e85ee0 in at::Tensor::~Tensor (this=0x3ffd7ec8230) at aten/src/ATen/core/TensorBody.h:90 csarofeen#6 0x000003ff63f67304 in resize__functionalization (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/aten/src/ATen/FunctionalizeFallbackKernel.cpp:173 csarofeen#7 0x000003ff63f89258 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) ( this=0x6030000390a0, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#8 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (functor=0x6030000390a0, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#9 0x000003ff6aca560a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > ( unboxed_kernel_func=0x3ff63f88a80 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>, functor=0x6030000390a0, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#10 0x000003ff6aca715c in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1b28, opHandle=..., dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:96 csarofeen#11 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff919400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#12 0x000003ff6a82006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff919a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#13 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 csarofeen#14 0x000003ff861d5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#15 0x000003ff861b579e in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:401 ``` Memory access: ``` #0 c10::SymInt::maybe_as_int (this=0x61000013d790) at /home/user/pytorch/c10/core/SymInt.h:215 #1 0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69 csarofeen#2 0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177 csarofeen#3 0x000003ff5f6aaede in std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1162 csarofeen#4 0x000003ff5f6aae4c in std::__equal_aux1<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1211 csarofeen#5 0x000003ff5f6aae06 in std::__equal_aux<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1219 csarofeen#6 0x000003ff5f6aad98 in std::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1556 csarofeen#7 0x000003ff2ff3c772 in c10::ArrayRef<c10::SymInt>::equals (this=0x3ffed7c9900, RHS=...) at /home/user/pytorch/c10/util/ArrayRef.h:188 csarofeen#8 0x000003ff31891bc2 in c10::operator!=<c10::SymInt> (a1=..., a2=...) at /home/user/pytorch/c10/util/ArrayRef.h:341 csarofeen#9 0x000003ff51eb5800 in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:408 csarofeen#10 0x000003ff51ee59c8 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c 10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (this=0x6030007dca40, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#11 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt >, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional< c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#12 0x000003ff369a512a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > ( unboxed_kernel_func=0x3ff51ee51f0 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::Ar rayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKern el*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>, functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#13 0x000003ff369a6e90 in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1bc8, opHandle=..., dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#14 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::Arr ayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff5d6400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#15 0x000003ff3652006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff5d6a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#16 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 csarofeen#17 0x000003ff51ed5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#18 0x000003ff51ebbb68 in torch::autograd::VariableType::(anonymous namespace)::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:243 ``` </details> Pull Request resolved: pytorch#101064 Approved by: https://github.com/Skylion007, https://github.com/albanD

arguments() returns vector member of object returned by schema() call. When object returned by schema() call is destroyed, the vector is deallocated as well, it's lifetime isn't extended. This issue detected while running `pytest -v test/mobile/test_lite_script_type.py -k test_nest_typing_namedtuple_custom_classtype` with ASAN. <details> <summary>ASAN output</summary> ``` ==1134126==ERROR: AddressSanitizer: heap-use-after-free on address 0x60d0005a5790 at pc 0x03ff844488d8 bp 0x03fff584afe8 sp 0x03fff584afd8 READ of size 8 at 0x60d0005a5790 thread T0 #0 0x3ff844488d7 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&) /usr/lib/gcc/s390x-i bm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028 #1 0x3ff8444293f in std::vector<c10::Argument, std::allocator<c10::Argument> >::begin() const /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_vector.h:821 csarofeen#2 0x3ff84d807d1 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:617 csarofeen#3 0x3ff84d80305 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 csarofeen#4 0x3ff84856871 in pybind11::detail::type_caster<c10::IValue, void>::cast(c10::IValue, pybind11::return_value_policy, pybind11::handle) /home/user/pytorch/torch/csrc/jit/python/pybind.h:138 csarofeen#5 0x3ff85318191 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is _method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const /home/user/pytorch/cmake/../third_party/pybin d11/include/pybind11/pybind11.h:249 csarofeen#6 0x3ff85317cfd in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is _method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) /home/user/pytorch/cmake/../third_party/pybind11/incl ude/pybind11/pybind11.h:224 csarofeen#7 0x3ff82ee52e9 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929 csarofeen#8 0x3ffab002903 in cfunction_call Objects/methodobject.c:543 csarofeen#9 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#10 0x3ffaaf8e919 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#11 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#12 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#13 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#14 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#15 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#16 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#17 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#18 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#19 0x3ffaaf8a615 in _PyObject_FastCallDictTstate Objects/call.c:142 csarofeen#20 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#21 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#22 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#23 0x3ffab0f0081 in _PyObject_VectorcallTstate 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Include/cpython/abstract.h:114 csarofeen#235 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#236 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#237 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#238 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#239 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#240 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#241 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#242 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#243 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#244 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#245 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#246 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#247 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#248 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#249 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 0x60d0005a5790 is located 80 bytes inside of 136-byte region [0x60d0005a5740,0x60d0005a57c8) freed by thread T0 here: #0 0x3ffab537de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x3ff55984fdb in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate(std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>*, unsigned long) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145 previously allocated by thread T0 here: #0 0x3ffab53734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 #1 0x3ff5598443f in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate(unsigned long, void const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127 csarofeen#2 0x3fff5849ecf ([stack]+0xb2ecf) SUMMARY: AddressSanitizer: heap-use-after-free /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&) Shadow bytes around the buggy address: 0x100c1a000b4aa0: fd fd fd fd fd fd fd fd fd fd fd fa fa fa fa fa 0x100c1a000b4ab0: fa fa fa fa fd fd fd fd fd fd fd fd fd fd fd fd 0x100c1a000b4ac0: fd fd fd fd fd fa fa fa fa fa fa fa fa fa fd fd 0x100c1a000b4ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fa 0x100c1a000b4ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd =>0x100c1a000b4af0: fd fd[fd]fd fd fd fd fd fd fa fa fa fa fa fa fa 0x100c1a000b4b00: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b10: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b20: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b30: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa Shadow byte legend (one shadow byte represents 8 application bytes): Addressable: 00 Partially addressable: 01 02 03 04 05 06 07 Heap left redzone: fa Freed heap region: fd Stack left redzone: f1 Stack mid redzone: f2 Stack right redzone: f3 Stack after return: f5 Stack use after scope: f8 Global redzone: f9 Global init order: f6 Poisoned by user: f7 Container overflow: fc Array cookie: ac Intra object redzone: bb ASan internal: fe Left alloca redzone: ca Right alloca redzone: cb Shadow gap: cc ==1134126==ABORTING ``` Additional backtraces (not full): Allocation: ``` #0 __memset_z196 () at ../sysdeps/s390/memset-z900.S:144 #1 0x000003ff96f3072a in __asan::Allocator::Allocate (this=this@entry=0x3ff97041eb8 <__asan::instance>, size=size@entry=136, alignment=8, alignment@entry=0, stack=<optimized out>, stack@entry=0x3ffdbb45d78, alloc_type=<optimized out>, can_fill=true) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:599 csarofeen#2 0x000003ff96f2c088 in __asan::asan_memalign (alignment=alignment@entry=0, size=size@entry=136, stack=stack@entry=0x3ffdbb45d78, alloc_type=alloc_type@entry=__asan::FROM_NEW) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:1039 csarofeen#3 0x000003ff96fb73b0 in operator new (size=136) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 csarofeen#4 0x000003ff41404440 in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate (this=0x3ffdbb468c0, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127 csarofeen#5 0x000003ff414042a0 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::allocate (__a=..., __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:464 csarofeen#6 0x000003ff41403b66 in std::__allocate_guarded<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > > (__a=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:98 csarofeen#7 0x000003ff4140372a in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47888, __p=@0x3ffdbb47880: 0x0, __a=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:648 csarofeen#8 0x000003ff41403328 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1342 csarofeen#9 0x000003ff41402f06 in std::shared_ptr<c10::FunctionSchema>::shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > ( this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:409 csarofeen#10 0x000003ff41402b6e in std::allocate_shared<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__a=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:862 csarofeen#11 0x000003ff4140215c in std::make_shared<c10::FunctionSchema, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:878 csarofeen#12 0x000003ff413d180c in c10::TupleType::createWithSpec<c10::basic_string_view<char> > (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...}, field_defaults=std::vector of length 0, capacity 0) at /home/user/pytorch/aten/src/ATen/core/type.cpp:769 csarofeen#13 0x000003ff413b9ca6 in c10::TupleType::createNamed (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...}) at /home/user/pytorch/aten/src/ATen/core/type.cpp:725 csarofeen#14 0x000003ff4115fbac in c10::ivalue::TupleTypeFactory<c10::TupleType>::fallback (type=...) at /home/user/pytorch/aten/src/ATen/core/dynamic_type.cpp:383 csarofeen#15 0x000003ff708217fe in c10::ivalue::Tuple::type<c10::TupleType> (this=0x6080004b8520) at /home/user/pytorch/aten/src/ATen/core/ivalue_inl.h:781 csarofeen#16 0x000003ff70800740 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 csarofeen#17 0x000003ff70800306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 csarofeen#18 0x000003ff702d6872 in pybind11::detail::type_caster<c10::IValue, void>::cast (src=...) at /home/user/pytorch/torch/csrc/jit/python/pybind.h:138 csarofeen#19 0x000003ff70d98192 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const (this=0x3ffdbb4ca20, call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:249 csarofeen#20 0x000003ff70d97cfe in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) (call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:224 csarofeen#21 0x000003ff6e9652ea in pybind11::cpp_function::dispatcher (self=<PyCapsule at remote 0x3ff83e27720>, args_in=(<torch._C.LiteScriptModule at remote 0x3ff811844b0>, (<Tensor at remote 0x3ff814efb00>,)), kwargs_in=0x0) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929 ``` Deallocation: ``` #0 operator delete (ptr=0x60d0005a5740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x000003ff44904fdc in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate (this=0x3ffc5dc8020, __p=0x60d0005a5740, __t=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145 csarofeen#2 0x000003ff44904fa8 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::deallocate ( __a=..., __p=0x60d0005a5740, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:496 csarofeen#3 0x000003ff449041f2 in std::__allocated_ptr<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::~__allocated_ptr ( this=0x3ffc5dc8030) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:74 csarofeen#4 0x000003ff44904888 in std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>::_M_destroy (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:538 csarofeen#5 0x000003ff43895a62 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:184 csarofeen#6 0x000003ff43895420 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x611000c40648) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705 csarofeen#7 0x000003ff4466e7f4 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154 csarofeen#8 0x000003ff4466d820 in std::shared_ptr<c10::FunctionSchema>::~shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122 csarofeen#9 0x000003ff448d82f6 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 csarofeen#10 0x000003ff448d8346 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 csarofeen#11 0x000003ff731296a4 in std::_Sp_counted_ptr<c10::TupleType*, (__gnu_cxx::_Lock_policy)2>::_M_dispose (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:348 csarofeen#12 0x000003ff71eaf666 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:168 csarofeen#13 0x000003ff71eaf330 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x3ffc5dc9368) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705 csarofeen#14 0x000003ff73129ee4 in std::__shared_ptr<c10::TupleType, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154 csarofeen#15 0x000003ff73122390 in std::shared_ptr<c10::TupleType>::~shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122 csarofeen#16 0x000003ff73d00788 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 csarofeen#17 0x000003ff73d00306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 ``` </details> Pull Request resolved: pytorch#101400 Approved by: https://github.com/zou3519

Huang Shuang and others added 30 commits May 14, 2020 08:07

Add better device idx parse checks (pytorch#37376)

ae392a7

Summary: Fixes pytorch#32079 Pull Request resolved: pytorch#37376 Differential Revision: D21476036 Pulled By: zou3519 fbshipit-source-id: 86907083c23cbaf165b645307fb340f2656b814e

Allow GradScaler to be pickled (pytorch#38296)

25f9185

Summary: Should unblock Lightning-AI/pytorch-lightning#1782. Pull Request resolved: pytorch#38296 Differential Revision: D21553296 Pulled By: albanD fbshipit-source-id: 9041a72d7cf8833e4b01bc767fd2321f17c7c5f2

Delete "named_guard" in native_functions.yaml (pytorch#38429)

7f11079

Summary: "named_guard" is not a supported option (i.e., a typo). Pull Request resolved: pytorch#38429 Differential Revision: D21572794 Pulled By: zou3519 fbshipit-source-id: 6e799611344f373b03f64410d7af9c2c89a75f55

skip torchbind on rocm (pytorch#38501)

9d0e935

Summary: Pull Request resolved: pytorch#38501 Test Plan: Imported from OSS Differential Revision: D21579298 Pulled By: suo fbshipit-source-id: 4ac0b6beac26c97c1e0ff68304996ce62be8e8ce

peterjc123 and others added 22 commits May 21, 2020 12:52

Document torch.utils.cmake_prefix_path (pytorch#38727)

acc181c

Summary: Documents new global variable pointing to PyTorch CMake config files Pull Request resolved: pytorch#38727 Differential Revision: D21694243 Pulled By: malfet fbshipit-source-id: 652532cd5da9945caf7d7dfe1fde696dc474661b

Add cuda version of clang9 image. (pytorch#38825)

9b9fc59

Summary: Pull Request resolved: pytorch#38825 Differential Revision: D21687353 Pulled By: ailzhang fbshipit-source-id: d99bb6d034b26e851ddaf7ff2ef572ae58cc20bc

Kill AT_DISPATCH_ALL_TYPES_AND_C10_COMPLEX_AND (pytorch#38462)

d3b0cf9

Summary: Pull Request resolved: pytorch#38462 Test Plan: Imported from OSS Differential Revision: D21663878 Pulled By: anjali411 fbshipit-source-id: f58a173a1d7cd56986788a28a28c76dbf4386c01

Revert D21057090: Remove useless copy on zip file load

4c0bf93

Test Plan: revert-hammer Differential Revision: D21057090 Original commit changeset: e3d30a3b09f4 fbshipit-source-id: b24cbe77aae38b321882e7dcf41022710ee28ed0

Use old circleci windows image for both CPU and CUDA (pytorch#38909)

f3f3097

Summary: Pull Request resolved: pytorch#38909 Differential Revision: D21701160 Pulled By: malfet fbshipit-source-id: 7eb81b76e3e9b269ded668e873e10695e7bb1ae4

csarofeen self-requested a review May 22, 2020 11:58

csarofeen approved these changes May 22, 2020

View reviewed changes

csarofeen merged this pull request into master May 22, 2020

csarofeen deleted the bump_master branch June 5, 2020 14:01

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Bump master#42

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jjsjann123 commented May 22, 2020

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