Return TensorView* from arith when possible by naoyam · Pull Request #39 · csarofeen/pytorch

naoyam · 2020-05-20T01:35:59Z

Only add is modified for now.

Return type is determined based on operand types. binaryOp does so by overloading, which means we have 4 versions of binaryOp.

Actual ops like add uses a template to avoid defining multiple versions of each op. A downside is a compiler error message when an invalid type is used can be cryptic.

If this looks good, I'll update the other binary ops as well.

Summary: Pull Request resolved: pytorch#38154 This should give better error messages and shorter stack traces on C++17 builds (e.g. fbcode) ghstack-source-id: 103775564 Test Plan: waitforsandcastle Differential Revision: D21483327 fbshipit-source-id: 184d1f9c0543bf43dc9713fa97fcc5955e7be319

Summary: Pull Request resolved: pytorch#37897 Test Plan: Imported from OSS Differential Revision: D21442181 Pulled By: anjali411 fbshipit-source-id: 609af9086da1b622db51694f65eadfebe3970cfd

Summary: Related to pytorchgh-36318 Mention `bfloat16` dtype and `BFloat16Tensor` in documentation. The real fix would be to implement cpu operations on 16-bit float `half`, and I couldn't help but notice that `torch.finfo(torch.bfloat16).xxx` crashes for `xxx in ['max', 'min', 'eps']` Pull Request resolved: pytorch#37051 Differential Revision: D21476851 Pulled By: ngimel fbshipit-source-id: fef601d3116d130d67cd3a5654077f31b699409b

Summary: Pull Request resolved: pytorch#37764 Auto-generated diff for TP2->PyFI migration. ``` networkx TP2 version: 2.0 PyFI active wheels (networkx): py2-darwin -> 2.3 py2-platform007 -> 2.2 py3-darwin -> 2.3 py3-platform007 -> 2.3 py3.7-platform007 -> 2.3 ``` #buildmore excited_python Test Plan: buildallthethings Reviewed By: thatch Differential Revision: D19790867 fbshipit-source-id: d6f893beee794df5408a5117978b534cafc6ec83

Summary: Fixes pytorch#37259, fixes pytorch#20156 This lazily calls `at::init_num_threads` once for each thread by adding a call to `lazy_init_num_threads` in `at::parallel_for` and `at::parallel_reduce`. If this solution is okay, then we should add the same to guard other places that might use MKL or OpenMP. Pull Request resolved: pytorch#37461 Reviewed By: ezyang Differential Revision: D21472763 Pulled By: ilia-cher fbshipit-source-id: 889d6664f5bd4080037ade02ee324b1233992915

pytorch#37942) Summary: Fix pytorch#37736 Pull Request resolved: pytorch#37942 Differential Revision: D21503150 Pulled By: soumith fbshipit-source-id: cf6bf57ca67013efe119543f3d9a698473960dec

pytorch#37763) Summary: …n Windows Without this PR, the OS try to find the DLL in the following directories. - The directory from which the application loaded. - The system directory. Use the GetSystemDirectory function to get the path of this directory. - The 16-bit system directory. There is no function that obtains the path of this directory, but it is searched. - The Windows directory. Use the GetWindowsDirectory function to get the path of this directory. - The current directory. - The directories that are listed in the PATH environment variable. Note that this does not include the per-application path specified by the App Paths registry key. The App Paths key is not used when computing the DLL search path. If we use LoadLibraryEx with LOAD_LIBRARY_SEARCH_* flags, the directories are searched in the following order. - The directory that contains the DLL (LOAD_LIBRARY_SEARCH_DLL_LOAD_DIR). This directory is searched only for dependencies of the DLL to be loaded. - The application directory (LOAD_LIBRARY_SEARCH_APPLICATION_DIR). - Paths explicitly added to the application search path with the AddDllDirectory function (LOAD_LIBRARY_SEARCH_USER_DIRS) or the SetDllDirectory function. If more than one path has been added, the order in which the paths are searched is unspecified. - The System32 directory (LOAD_LIBRARY_SEARCH_SYSTEM32). Advantages: 1. The directory that contains the DLL comes first and it's desirable for us, because the dependencies in `lib` should always be preferred. 2. The system directory is considered in the last place. According to some of the bug reports, the DLL load failure are caused by loading the conflicting ones in systemroot. Neural: 1. The directories in `PATH` are not considered. Similar things happen as described in the previous point. So it may be beneficial for normal users. However, it may cause failures if there are some new dependencies if built from source. (Resolved by making the fallback to `LoadLibraryW` if error code is `126`) Disadvantages: 1. LoadLibraryEx with LOAD_LIBRARY_SEARCH_* flags is only available for Win7/2008 R2 + KB2533623 and up. (Resolved by making the fallback to `LoadLibraryW` if it is not supported) 2. Failure during the call of `LoadLibraryEx` will lead to the OS to pop up a modal dialog, which can block the process if user is using a CLI-only interface. This can be switched off by calling `SetErrorMode`. (Resolved by calling `SetErrorMode`) Pull Request resolved: pytorch#37763 Test Plan: Test some common cases (in a new repo maybe) including 1. Python 3.6/3.7/3.8, conda python, conda install 2. Python 3.6/3.7/3.8, conda python, pip install 3. Python 3.6/3.7/3.8, official python, pip install Plus some corner cases like 1. Conflicting DLLs in systemroot or `PATH` 2. Remove some local dependencies and use global ones References: 1. https://docs.microsoft.com/en-us/windows/win32/api/errhandlingapi/nf-errhandlingapi-seterrormode 2. https://docs.microsoft.com/en-us/windows/win32/api/libloaderapi/nf-libloaderapi-loadlibraryexa 3. https://docs.microsoft.com/en-us/windows/win32/dlls/dynamic-link-library-search-order#standard-search-order-for-desktop-applications What do you think, malfet ezyang ? Differential Revision: D21496081 Pulled By: malfet fbshipit-source-id: aa5e528e5134326b00ac98982f4db4b4bbb47a44

Summary: **Summary** This commit detects and prohibits the case in which `typing.List` is used as an annotation without a type argument (i.e. `typing.List[T]`). At present, `typing.List` is always assumed to have one argument, and when it is used without one, `typing.List.__args__[0]` is nonempty and set to some `typing.TypeVar` instance, which has no JIT type equivalent. Consequently, trying to convert `typing.List` to a JIT type results in a `c10::ListType` with `nullptr` for its element type, which can cause a segmentation fault. This is fixed by returning a `ListType` from `jit.annotations.try_ann_to_type` only if the element type is converted successfully to a JIT type and returning `None` otherwise. **Test Plan** I ran the code from the issue (pytorch#37530) that reported this problem and also ran some unit tests. *Before* ``` $ python3 segfault.py Segmentation fault (core dumped) ``` *After* ``` $ python3 segfault.py Traceback (most recent call last): ... RuntimeError: Unknown type name 'List': File "segfault.py", line 9 classmethod def cat(cls, box_lists: List): ~~~~ <--- HERE return cls(torch.cat([x for x in box_lists])) 'Boxes.cat' is being compiled since it was called from 'Boxes' File "segfault.py", line 13 def f(t: torch.Tensor): b = Boxes(t) ~~~~~ <--- HERE c = Boxes(torch.tensor([3, 4])) return Boxes.cat([b, c]) 'Boxes' is being compiled since it was called from 'f' File "segfault.py", line 13 def f(t: torch.Tensor): b = Boxes(t) ~~~~~~~~~~~ <--- HERE c = Boxes(torch.tensor([3, 4])) return Boxes.cat([b, c]) ``` **Fixes** This pull request fixes pytorch#37530. Pull Request resolved: pytorch#38130 Differential Revision: D21485284 Pulled By: SplitInfinity fbshipit-source-id: 9b51ef6340485a24c8b7cfb85832d4668b8ac51a

Summary: Pull Request resolved: pytorch#38167 Test Plan: Imported from OSS Differential Revision: D21486709 Pulled By: jamesr66a fbshipit-source-id: 17b44d979fc658768b0d64f7d8af6fb684043ea3

Summary: Pull Request resolved: pytorch#38269 Test Plan: Imported from OSS Differential Revision: D21510318 Pulled By: mrshenli fbshipit-source-id: ac57a0ffed7401c13b7983b8685a8706b8181142

Summary: Reference : pytorch#38187 Benchmark with same build settings on same system. gcc : version 7.5.0 (Ubuntu 7.5.0-3ubuntu1~18.04) CPU : Intel® Core i5-8300H CPU @ 2.30GHz × 8 GPU : GTX 1050ti Test Cmd : `pytest test/test_torch.py -k linspace_cpu_float` Before : ``` test/test_torch.py .. [100%] ======================================================================== 2 passed, 5170 deselected in 24.43s ======================================================================== ``` After : ``` test/test_torch.py .. [100%] ======================================================================== 2 passed, 5170 deselected in 9.20s ========================================================================= ``` Test Cmd : `pytest test/test_torch.py -k linspace_cuda_float` Before : ``` test/test_torch.py ...... [100%] =================================================================== 6 passed, 5166 deselected in 83.84s (0:01:23) =================================================================== ``` After : ``` test/test_torch.py ...... [100%] ======================================================================== 6 passed, 5166 deselected in 40.18s ======================================================================== ``` Pull Request resolved: pytorch#38191 Differential Revision: D21494478 Pulled By: mruberry fbshipit-source-id: fa58f727781425937a7b8212f9b63a739935eb86

Summary: closes pytorch#37855 ## .circleci: Improve docker image build workflow Improves the docker image build workflow from many steps to basically transparent from a user's perspective. To update docker images now all one has to do is edit the .circleci/docker folder and it will update automatically and also dynamically add the tags to the list of tags to keep from the garbage collector. Adding a new image will currently stay the same but we can explore doing that dynamically as well. ### How the build workflow works: - Docker tags are determined by the hash defined from git for the .circleci/docker sub-directory (extracted using git rev-parse) - Images are only built if the computed hash is not found in ecr and the hash is different than the previously computed hash. The previously computed hash is found using the same process as before but subbing out HEAD for the merge base between HEAD and the base git revision - That tag is then passed through the jobs using a shared workspace which is added to downstream jobs using the circleci ${BASH_ENV} ### How the new garbage collection works: - Tags to keep are generated by stepping through all of the commits in in the .circleci/docker subdirectory Signed-off-by: Eli Uriegas <eliuriegas@fb.com> Pull Request resolved: pytorch#37976 Differential Revision: D21511048 Pulled By: seemethere fbshipit-source-id: e4b153a6078e3875f6cfa03a903b2e951d803cce

Summary: Make Linear layer working correct when bias is False Pull Request resolved: pytorch#38002 Differential Revision: D21509679 Pulled By: malfet fbshipit-source-id: c7077992cf414ecc557b39e5ed1e39ef01c8b347

Summary: Fix pow type cast for opset 9 and update opset 12 Pull Request resolved: pytorch#38065 Differential Revision: D21485353 Pulled By: malfet fbshipit-source-id: 3993e835ffad07b2e6585eb5cf1cb7c8474de2ec

… workflow Test Plan: revert-hammer Differential Revision: D21511048 Original commit changeset: e4b153a6078e fbshipit-source-id: 09ad9ad9b108479cba44070c82182dd91fd4f099

Summary: Pull Request resolved: pytorch#38036 Resolves: pytorch#36946 Test Plan: Imported from OSS Differential Revision: D21463610 Pulled By: anjali411 fbshipit-source-id: c4aabfac2cd1f05f8b66745aae0a17c2af4d9c9b

Summary: Fixes pytorch#36594 In some cases, when using memory that was allocated in another process before doing any memory-related operation in PyTorch, there are errors because the GPU CUDA context is not completely initialized. I guess there is an explicit reason to leave the context not initialized at first, and don't do it in `THCudaInit` where other CUDA calls are going on. I'd like to discuss it in this PR. Possible better solutions are Initialize the device context in `fromDLPack` or `from_blob`, probably by creating some dummy array with one element. But this feels like a hack. Another possibility is to catch the exception in `getDeviceFromPtr`, check if the context was initialized, and if not repeat this operation. but we will need to check for every device. This PR bypasses the `getDeviceFromPtr` call which is the one causing the problem if we already know the device. This allows us to create the Tensor from the shared memory storage but the context will not be initialized. However, it will be when the tensor is accessed later. Pull Request resolved: pytorch#36714 Differential Revision: D21504557 Pulled By: ngimel fbshipit-source-id: 173ccdeb7c2a2b0ece53dd50be97f2df577a5634

…SEARCH_* flag for loading DLLs o… Test Plan: revert-hammer Differential Revision: D21496081 Original commit changeset: aa5e528e5134 fbshipit-source-id: c0636b06dd65c7419018062f79aabc397fb2c5b8

Summary: Fix pytorch#36996 Remove seemingly unused files. Pull Request resolved: pytorch#37830 Differential Revision: D21431969 Pulled By: mruberry fbshipit-source-id: 824fa86f03ce0049ceddb093468800154ae8048b

…twise op and only fuse the latter. (pytorch#38171) Summary: Pull Request resolved: pytorch#38171 Test Plan: Imported from OSS Differential Revision: D21487389 Pulled By: ZolotukhinM fbshipit-source-id: ac28789bf2bea389f560de4d5b979e036295e96a

Summary: Fix pytorch#37752 by updating `index_add`documentation as suggested by danpovey Pull Request resolved: pytorch#38213 Reviewed By: ilia-cher Differential Revision: D21506728 Pulled By: ngimel fbshipit-source-id: 3c08bc3743cd4ba8c0c97b7d359d35e82f0127ac

Summary: Pull Request resolved: pytorch#37797 This is slow (see comment in code). Not fixing this yet, but at least adding a warning so people are aware and don't add new call sites. ghstack-source-id: 103887226 Test Plan: waitforsandcastle Differential Revision: D21390364 fbshipit-source-id: 7bff1c3b9756a16c9d9110f209c23bf557266dda

Summary: Pull Request resolved: pytorch#37774 Move ThreadLocalDebugInfo from ATen to C10 Test Plan: Imported from OSS Differential Revision: D21384249 Pulled By: ilia-cher fbshipit-source-id: f9b5089a868f84a2ee013695a481fcc883d3c6b2

Summary: This reverts commit 7c2853b. Pull Request resolved: pytorch#38279 Differential Revision: D21517822 Pulled By: seemethere fbshipit-source-id: 5f705f6c617cbc77a10ab9deb913bc5958ae7439

Summary: Pull Request resolved: pytorch#38031 Test Plan: Imported from OSS Differential Revision: D21502915 Pulled By: anjali411 fbshipit-source-id: 0cc3017a390da55af47ba81f651a883cd52b10da

Summary: There is now a `zmath.h` and `zmath_std.h`, where the latter is the copy-paste of the original `zmath.h` and supporting `std::complex`, and `zmath.h` is for supporting `c10::complex`. `zmath_std.h` will be removed eventually. Pull Request resolved: pytorch#38037 Differential Revision: D21518177 Pulled By: anjali411 fbshipit-source-id: 18552e955dc31f95870f34962d709de0444804f6

…age build workflow Test Plan: revert-hammer Differential Revision: D21517822 Original commit changeset: 5f705f6c617c fbshipit-source-id: a7ee422abdb1e966c267f62c45c73f4b4cb45b57

Summary: Most test files have a ton of errors; there's not much point adding ignores for them though. The way of working is simply to run `mypy test/test_somefile.py`, fix up the errors, then add that file to the `files =` list in `mypy.ini`. Can't add all of `test/*` by default, because the JIT test files have (on purpose) syntax errors that are meant to exercise the robustness of the JIT to bad annotations. Leave those alone for now. _Depends on the ghstacked PRs in pytorchgh-38173, only the last 2 commits are new._ Pull Request resolved: pytorch#38220 Differential Revision: D21503481 Pulled By: ezyang fbshipit-source-id: 63026e73201c549d64647a03a20a4c6687720244

Summary: Fixes pytorch#38024. Pull Request resolved: pytorch#38178 Differential Revision: D21502379 Pulled By: ezyang fbshipit-source-id: 74dd6504c56f4150ed4cef129fd3f32f378c0564

Summary: GitHub commits: pytorch/FBGEMM@b9f1a80 Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 131edb2b9b26117e2b9a9d34a91305251b04e7e2

Summary: Fix pytorch#38334 and correct the docs of `torch.nn.functional.upsample` Pull Request resolved: pytorch#38455 Differential Revision: D21583515 Pulled By: driazati fbshipit-source-id: 6ac5a79ba489bdcdd3fab34e4eddb4864e20a29e

…torch#38512) Summary: Pull Request resolved: pytorch#38512 As we gradually making the RPC non-blocking on server side, the processing of the same request can yield-run on different threads. Hence, we need to populate thread_local states (e.g., ctx id) in the continuation thread. Fixes pytorch#38439 Test Plan: Imported from OSS Differential Revision: D21583642 Pulled By: mrshenli fbshipit-source-id: a79bce1cb207fd11f1fa02b08465e49badda65fc

Summary: Fixes pytorch#27493 Pull Request resolved: pytorch#38378 Test Plan: `pytest ./test/test_jit.py -k test_tensor_subscript_assign` Differential Revision: D21540489 Pulled By: jansel fbshipit-source-id: a06e55175942b9d51ccc51d5440b7b122481b333

Summary: Pull Request resolved: pytorch#38369 Seems we have a lot of variables in codegen that carry duplicate information. This PR is removing them. It unifies all use sites to use the same instance ghstack-source-id: 104067031 Test Plan: waitforsandcastle Differential Revision: D21537983 fbshipit-source-id: 8d3ce3d3f712f7ba355e8c192798dfefaf847dac

) Summary: Pull Request resolved: pytorch#38578 Test Plan: Imported from OSS Differential Revision: D21603383 Pulled By: jamesr66a fbshipit-source-id: 07c7eb62f048406f2e21528e32c677d18eb87cce

Summary: Pull Request resolved: pytorch#38560 Test Plan: Imported from OSS Reviewed By: ngimel Differential Revision: D21598067 Pulled By: jamesr66a fbshipit-source-id: 26a0e92a5c2883326be261cf84b7e916ebfd60d8

Summary: Pull Request resolved: pytorch#38382 Test Plan: Imported from OSS Differential Revision: D21600127 Pulled By: anjali411 fbshipit-source-id: c5338ab10bdcebe4a281b03f78e6f2063186bc32

Summary: GitHub commits: facebook/fbthrift@2b1888a pytorch/FBGEMM@9f5ac27 Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 1e17af89ad40dfeaf6ca662fb5cdfc89d1b76a99

Summary: GitHub commits: facebook/watchman@c160c61 facebook/mvfst@09f8ebd pytorch/FBGEMM@c881ebf Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 986beb532d39dab1368e0099be84e1fc69072d46

Summary: Pull Request resolved: pytorch#38571 Test Plan: Imported from OSS Reviewed By: ZolotukhinM Differential Revision: D21600325 Pulled By: jamesr66a fbshipit-source-id: 9c1d53c2271702ad21cab07aafbd3bb16b474308

…ytorch#38565) Summary: Pull Request resolved: pytorch#38565 Also note this turns on "-Wno-unused-local-typedefs" because we are using dispatch macros for error checking. Test Plan: Imported from OSS Differential Revision: D21598478 Pulled By: gchanan fbshipit-source-id: 28f9ad01bd678df0601a10d0daf3ed31c47c4ab2

…38368) Summary: Pull Request resolved: pytorch#38368 There is a need for some customers to enable/disable these flags in the middle of QAT. To make it work properly with DDP, we need to implement them using buffers so that they are replicated properly to all the nodes. This should solve issue pytorch#38081 Test Plan: CI Imported from OSS Differential Revision: D21537607 fbshipit-source-id: 8c9da022beb7aaa44c658268f02f99dd5aee93fd

…reduction2

naoyam · 2020-05-20T01:36:58Z

Accidentally pushed to master.

Summary: Pull Request resolved: meta-pytorch/torchrec#39 Pull Request resolved: meta-pytorch/torchrec#6 This makes it so that shared parameters get their own entry in `named_parameters`. More broadly, this makes it so that ``` params_and_buffers = {**mod.named_named_parameters(remove_duplicate=False), **mod.named_buffers(remove_duplicate=False)} _stateless.functional_call(mod, params_and_buffers, args, kwargs) ``` is identical to calling the original module's forwards pass. cc pietern mrshenli pritamdamania87 zhaojuanmao satgera rohan-varma gqchen aazzolini osalpekar jiayisuse SciPioneer H-Huang Pull Request resolved: pytorch#71542 Reviewed By: jbschlosser, albanD Differential Revision: D33716716 Pulled By: Chillee fbshipit-source-id: ff1ed9980bd1a3f7ebaf695ee5e401202b543213 (cherry picked from commit d6e3ad3)

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 Include/cpython/abstract.h:112 csarofeen#24 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#25 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#26 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#27 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#28 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#29 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#30 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#31 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#32 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#33 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#34 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#35 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#36 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#37 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#38 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#39 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#40 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#41 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#42 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#43 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#44 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#45 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#46 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#47 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#48 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#49 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#50 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#51 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#52 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#53 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#54 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#55 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#56 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#57 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#58 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#59 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#60 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#61 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#62 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#63 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#64 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#65 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#66 0x3ffaaf8ab9b in PyVectorcall_Call Objects/call.c:267 csarofeen#67 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#68 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#69 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#70 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#71 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#72 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#73 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#74 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#75 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#76 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#77 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#78 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#79 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#80 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#81 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#82 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#83 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#84 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#85 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#86 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#87 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#88 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#89 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#90 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#91 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#92 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#93 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#94 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#95 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#96 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#97 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#98 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#99 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#100 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#101 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#102 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#103 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#104 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#105 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#106 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#107 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#108 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#109 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#110 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#111 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#112 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#113 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#114 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#115 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#116 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#117 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#118 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#119 0x3ffaaf8ad17 in _PyObject_Call Objects/call.c:305 csarofeen#120 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#121 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#122 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#123 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#124 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#125 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#126 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#127 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#128 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#129 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#130 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#131 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#132 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#133 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#134 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#135 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#136 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#137 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#138 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#139 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#140 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#141 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#142 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#143 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#144 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#145 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#146 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#147 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#148 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#149 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#150 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#151 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#152 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#153 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#154 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#155 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#156 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#157 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#158 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#159 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#160 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#161 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#162 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#163 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#164 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#165 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#166 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#167 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#168 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#169 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#170 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#171 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#172 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#173 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#174 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#175 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#176 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#177 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#178 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#179 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#180 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#181 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#182 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#183 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#184 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#185 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#186 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#187 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#188 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#189 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#190 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#191 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#192 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#193 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#194 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#195 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#196 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#197 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#198 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#199 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#200 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#201 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#202 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#203 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#204 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#205 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#206 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#207 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#208 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#209 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#210 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#211 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#212 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#213 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#214 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#215 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#217 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#218 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#219 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#220 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#221 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#222 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#223 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#224 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#225 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#226 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#227 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#228 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#229 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#230 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#231 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#232 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#233 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#234 0x3ffab0f00a9 in _PyObject_VectorcallTstate 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

jjsjann123 and others added 30 commits May 11, 2020 11:41

restore test

932c406

Migrate CPU tril, triu, masked_fill to c10::complex (pytorch#37897)

b290da0

Summary: Pull Request resolved: pytorch#37897 Test Plan: Imported from OSS Differential Revision: D21442181 Pulled By: anjali411 fbshipit-source-id: 609af9086da1b622db51694f65eadfebe3970cfd

Add instance methods tensor.isnan(), tensor.isinf(), tensor.isfinite() (

5f9b903

pytorch#37942) Summary: Fix pytorch#37736 Pull Request resolved: pytorch#37942 Differential Revision: D21503150 Pulled By: soumith fbshipit-source-id: cf6bf57ca67013efe119543f3d9a698473960dec

[JIT] Expose magic methods on script::Object (pytorch#38167)

a553935

Summary: Pull Request resolved: pytorch#38167 Test Plan: Imported from OSS Differential Revision: D21486709 Pulled By: jamesr66a fbshipit-source-id: 17b44d979fc658768b0d64f7d8af6fb684043ea3

Pin flake8 to 3.7.9 (pytorch#38269)

c6b2844

Summary: Pull Request resolved: pytorch#38269 Test Plan: Imported from OSS Differential Revision: D21510318 Pulled By: mrshenli fbshipit-source-id: ac57a0ffed7401c13b7983b8685a8706b8181142

fix sample code (pytorch#38002)

19d6e32

Summary: Make Linear layer working correct when bias is False Pull Request resolved: pytorch#38002 Differential Revision: D21509679 Pulled By: malfet fbshipit-source-id: c7077992cf414ecc557b39e5ed1e39ef01c8b347

[ONNX] Fix pow op export (pytorch#38065)

333e29c

Summary: Fix pow type cast for opset 9 and update opset 12 Pull Request resolved: pytorch#38065 Differential Revision: D21485353 Pulled By: malfet fbshipit-source-id: 3993e835ffad07b2e6585eb5cf1cb7c8474de2ec

Revert D21511048: [pytorch][PR] .circleci: Improve docker image build…

7c2853b

… workflow Test Plan: revert-hammer Differential Revision: D21511048 Original commit changeset: e4b153a6078e fbshipit-source-id: 09ad9ad9b108479cba44070c82182dd91fd4f099

Have DeviceType available in torch namespace (pytorch#38036)

8e07b75

Summary: Pull Request resolved: pytorch#38036 Resolves: pytorch#36946 Test Plan: Imported from OSS Differential Revision: D21463610 Pulled By: anjali411 fbshipit-source-id: c4aabfac2cd1f05f8b66745aae0a17c2af4d9c9b

Revert D21496081: [pytorch][PR] Using LoadLibraryEx and LOAD_LIBRARY_…

1ab4f35

…SEARCH_* flag for loading DLLs o… Test Plan: revert-hammer Differential Revision: D21496081 Original commit changeset: aa5e528e5134 fbshipit-source-id: c0636b06dd65c7419018062f79aabc397fb2c5b8

Remove THFile, THDiskFile, and THMemoryFile (pytorch#37830)

21ce433

Summary: Fix pytorch#36996 Remove seemingly unused files. Pull Request resolved: pytorch#37830 Differential Revision: D21431969 Pulled By: mruberry fbshipit-source-id: 824fa86f03ce0049ceddb093468800154ae8048b

Move ThreadLocalDebugInfo to c10 (pytorch#37774)

43dd876

Summary: Pull Request resolved: pytorch#37774 Move ThreadLocalDebugInfo from ATen to C10 Test Plan: Imported from OSS Differential Revision: D21384249 Pulled By: ilia-cher fbshipit-source-id: f9b5089a868f84a2ee013695a481fcc883d3c6b2

[RELAND] .circleci: Improve docker image build workflow (pytorch#38279)

eea9c6a

Summary: This reverts commit 7c2853b. Pull Request resolved: pytorch#38279 Differential Revision: D21517822 Pulled By: seemethere fbshipit-source-id: 5f705f6c617cbc77a10ab9deb913bc5958ae7439

Fix tensor printing (pytorch#38031)

375ddb0

Summary: Pull Request resolved: pytorch#38031 Test Plan: Imported from OSS Differential Revision: D21502915 Pulled By: anjali411 fbshipit-source-id: 0cc3017a390da55af47ba81f651a883cd52b10da

Revert D21517822: [pytorch][PR] [RELAND] .circleci: Improve docker im…

6e66e85

…age build workflow Test Plan: revert-hammer Differential Revision: D21517822 Original commit changeset: 5f705f6c617c fbshipit-source-id: a7ee422abdb1e966c267f62c45c73f4b4cb45b57

Use thrust::host_vector instead of std::vector (pytorch#38178)

ec7beda

Summary: Fixes pytorch#38024. Pull Request resolved: pytorch#38178 Differential Revision: D21502379 Pulled By: ezyang fbshipit-source-id: 74dd6504c56f4150ed4cef129fd3f32f378c0564

svcscm and others added 23 commits May 15, 2020 17:04

Updating submodules

8743d51

Summary: GitHub commits: pytorch/FBGEMM@b9f1a80 Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 131edb2b9b26117e2b9a9d34a91305251b04e7e2

[JIT] Remove import statement thing in serialization docs (pytorch#38578

b9c5375

) Summary: Pull Request resolved: pytorch#38578 Test Plan: Imported from OSS Differential Revision: D21603383 Pulled By: jamesr66a fbshipit-source-id: 07c7eb62f048406f2e21528e32c677d18eb87cce

Test BC for built-in torchbind methods (pytorch#38560)

db86c8c

Summary: Pull Request resolved: pytorch#38560 Test Plan: Imported from OSS Reviewed By: ngimel Differential Revision: D21598067 Pulled By: jamesr66a fbshipit-source-id: 26a0e92a5c2883326be261cf84b7e916ebfd60d8

Add complex support for torch.sum (pytorch#38382)

83df3be

Summary: Pull Request resolved: pytorch#38382 Test Plan: Imported from OSS Differential Revision: D21600127 Pulled By: anjali411 fbshipit-source-id: c5338ab10bdcebe4a281b03f78e6f2063186bc32

Updating submodules

fe44741

Summary: GitHub commits: facebook/fbthrift@2b1888a pytorch/FBGEMM@9f5ac27 Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 1e17af89ad40dfeaf6ca662fb5cdfc89d1b76a99

Add Fusion::hasReduction, add Fusion::hasRNG, minor cleanup.

ef67ab1

Updating submodules

873f902

Summary: GitHub commits: facebook/watchman@c160c61 facebook/mvfst@09f8ebd pytorch/FBGEMM@c881ebf Test Plan: n/a Reviewed By: zpao fbshipit-source-id: 986beb532d39dab1368e0099be84e1fc69072d46

Remove BC hack (pytorch#38571)

176174a

Summary: Pull Request resolved: pytorch#38571 Test Plan: Imported from OSS Reviewed By: ZolotukhinM Differential Revision: D21600325 Pulled By: jamesr66a fbshipit-source-id: 9c1d53c2271702ad21cab07aafbd3bb16b474308

Clang tidy.

796f3ca

Minor fixes on asserts in replay(merge calls.

5090fd7

flake8 failure on Python test

d4dfad5

fixing flake8

3651ce3

Minor fix on api export.

afc4b53

Merge branch 'master' of https://www.github.com/pytorch/pytorch into …

2e8f862

…reduction2

Assert fix.

d2a6422

Re-enable CUDA guards in test_gpu

37683fd

Return TensorView* from binaryOp when possible

b67e8f7

naoyam closed this May 20, 2020

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Return TensorView* from arith when possible#39

Return TensorView* from arith when possible#39
naoyam wants to merge 304 commits intocsarofeen:masterfrom
naoyam:return-tv-from-arith

naoyam commented May 20, 2020

Uh oh!

naoyam commented May 20, 2020

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

20 participants

Conversation

naoyam commented May 20, 2020

Uh oh!

naoyam commented May 20, 2020

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

20 participants