Merge from pytorch upstream #18

iotamudelta · 2018-07-06T17:08:53Z

No description provided.

Summary: Some functions are exactly implemented in THStorage_; in that case, we called those functions directly. Stacked on pytorch#9135 Closes pytorch#9136 Reviewed By: Yangqing Differential Revision: D8723998 Pulled By: ezyang fbshipit-source-id: 653d23a5e1db4b9bdda50641fa97730894cc8ed5

…#9121) Summary: Closes pytorch#9121 This main function causes 'buck test caffe2_test_cpu' to run 0 tests Reviewed By: orionr Differential Revision: D8719343 fbshipit-source-id: dc1cf76b0355637eaae193be2159f5746873b9f9

Summary: Booleaning indexing was special cased to handle a single boolean value, but didn't generally work given multiple booleans. This PR unifies the behavior with slicing. Note that only 'True' and torch.tensor(True) behave like NumPy due to the lack of n-dimensional empty tensors. The corresponding tests for false values have been added, but are guarded behind a flag until we add n-dimensional empty tensors. Closes pytorch#8920 Reviewed By: ezyang Differential Revision: D8661876 Pulled By: gchanan fbshipit-source-id: 0dc8a45a303aa41f729d04ab8908cfaf2e3ce3d7

Summary: - There were missing error messages for AT_CHECK in SparseTensorImpl::set_indices_and_values - We have to check that the backends of all our inputs line up, since native does not do it for us. - Some math operations were missing shape tests. Fixes pytorch#9110 Signed-off-by: Edward Z. Yang <ezyang@fb.com> Closes pytorch#9140 Differential Revision: D8724349 Pulled By: ezyang fbshipit-source-id: 3c75104187aca97cbe92bb0ec24f6ded07b2c3d6

Summary: The loss plugin was using the old-style loss[0] access, which in PyTorch 0.4 and later is an attempt to index into a scalar, generating a warning. Replaced that with loss.item(). This fixes pytorch#9142 Closes pytorch#9143 Differential Revision: D8726403 Pulled By: ezyang fbshipit-source-id: 6c496b140a74d22c8423f511db901b18615fd6fa

Summary: This will resolve the code and comments mis-match issue. Closes pytorch#9070 Differential Revision: D8712261 Pulled By: ezyang fbshipit-source-id: a8a7d8af890a41ec246e11c2a62b0bde297be9c1

Summary: 1. Add dashed light blue line for asymptotes. 2. RReLU was missing the activation image. 3. make clean in docs will remove the activation images too. Sample image: ![image](https://user-images.githubusercontent.com/23639302/42224142-5d66bd0a-7ea7-11e8-8b0a-26918df12f7c.png) Closes pytorch#9134 Differential Revision: D8726880 Pulled By: ezyang fbshipit-source-id: 35f00ee08a34864ec15ffd6228097a9efbc8dd62

Summary: This file was added in pytorch#9107 but wasn't installed. The libraries in ./torch/lib use the headers from Caffe2/ATen from their temporary install path at torch/lib/tmp_install, and c10d was not able to find THC/THCGeneral.hpp before this fix. Closes pytorch#9159 Reviewed By: Yangqing Differential Revision: D8731107 Pulled By: pietern fbshipit-source-id: d6009f6f6e8e6e0f37dea24cc4c3570736943ab1

Summary: Closes pytorch#9147 Added a test to prevent regression in test_torch Added entries in docs cc ezyang weiyangfb Closes pytorch#9156 Differential Revision: D8732095 Pulled By: soumith fbshipit-source-id: 7a6892853cfc0ccb0142b4fd25015818849adf61

Summary: With the Cppzation of a few files in `TH`/`THC`, the CPP extensions got broken whenever the user uses feature from `THC` in their files, when pytorch is installed via `python setup.py install`. This addresses issues such as ``` /home/me/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/include/THC/THCDeviceTensorUtils.cuh:5:25: fatal error: THCTensor.hpp: No such file or directory ``` Closes pytorch#9182 Reviewed By: soumith Differential Revision: D8734581 Pulled By: fmassa fbshipit-source-id: 2a1138f208592eaccb01fcdb805a6b369d7a497a

Summary: 1. Used SVD to compute. 2. Tests in test_autograd, test_cuda and test_torch 3. Doc strings in _torch_docs.py and _tensor_docs.py Closes pytorch#6187 Closes pytorch#9052 Reviewed By: soumith Differential Revision: D8714628 Pulled By: SsnL fbshipit-source-id: 7e006c9d138b9f49e703bd0ffdabe6253be78dd9

Summary: This PR makes setting the `NO_MULTIPROCESSING_SPAWN` easier internally, by allowing the flag to be set to `0`. Closes pytorch#9187 Differential Revision: D8736206 Pulled By: yf225 fbshipit-source-id: b8a34cb9a747b13bc9428777a3ed766ce441cfe1

Summary: Part of this issue pytorch#7580 Closes pytorch#8581 Differential Revision: D8661660 Pulled By: soumith fbshipit-source-id: 4a72fb5152ed6eb4d57f14de691bf09a2a2e5b0c

…torch#9050) Summary: Pass the end to end test cases in onnx/onnx#1049 Closes pytorch#9050 Reviewed By: hlu1 Differential Revision: D8703757 Pulled By: houseroad fbshipit-source-id: 63308202e349dfc02d532e87f49495ba1aab085b

Summary: Closes pytorch#9119 Remove unused RowwiseArgMaxOp Reviewed By: houseroad Differential Revision: D8719826 fbshipit-source-id: 57d78c8b93bc94a4634d806c7c2041f8c18678a5

Summary: Copy of pytorch#8802 Closes pytorch#8813 Differential Revision: D8707364 Pulled By: yf225 fbshipit-source-id: bc201980b50e9fb44c42a17f898b50d3558fc417

Summary: cc vishwakftw Also added a check if none of the input tensors in `gradcheck` have `requires_grad=True`. Closes pytorch#9192 Differential Revision: D8739401 Pulled By: SsnL fbshipit-source-id: 81bb3aa0b5c04eb209b137a4bd978e040e76cbcd

Summary: 1. Let `ModuleTest` raise when they fail on non-contiguous inputs. Fix legacy modules. 2. Fix BN (both THNN and cuDNN) not working on non-contiguous inputs. 3. Fix CUDA EmbeddingBag not working on non-contiguous inputs. To prevent calling `.contiguous()` on in both `forward` and `backward`, a. prefix all current `embedding_bag*` functions with `_`, indicating that they require input to be contiguous (there is a check in each function). b. create `embedding_bag`, which makes input arguments `.contiguous()`, and calls `_embedding_bag` 3. Make many ATen `embedding*` functions to work on non-contiguous inputs so we don't need to call `input = input.contiguous()` in Python `nn.functional.embedding`. 4. Fix dense-sparse addition when the sparse input is not coalesced and indices or values tensor is not contiguous. This came up in the test cases of Embedding modules with `sparse=True`. Added tests. 5. Update `TensorUtils.cpp` to use `AT_*` macros. Request: review from cpuhrsch on the `Embedding*` changes. review from ezyang on ATen sparse & BN changes. Closes pytorch#9114 Differential Revision: D8717299 Pulled By: SsnL fbshipit-source-id: 0acc6f1c9522b5b605361e75112c16bbe1e98527

Summary: Previously this used the ``.toliist`` method, which converted the storage object into a list of Python objects, and then sent those to pickle. For storage objects of non-trivial size, this was very slow. Now we reuse the logic of the ``torch.save`` function to efficiently turn the Storage object into bytes, and send those instead. This reduces the semantic information (it's harder to interpret the bytes) but should be orders of magnitude more efficient when serializing data with the pickle protocol or with copy For future work it would be nice to develop a mechanism to get a buffer of bytes out of a Storage object, and use that alongside the current ``from_buffer`` method. See pytorch#9168 for context Closes pytorch#9184 Differential Revision: D8747794 Pulled By: soumith fbshipit-source-id: ac598e660c043788ed1ffab3d0303812886edf79

Summary: I've been cleaning up my email notifications, and noticed that this PR used a stack-allocated `random_device`. This is generally a bad idea due to this sentence from the C++ reference (emphasis mine): > `std::random_device` may be implemented in terms of an implementation-defined pseudo-random number engine if a non-deterministic source (e.g. a hardware device) is not available to the implementation. **In this case each `std::random_device` object may generate the same number sequence.** If this is how this object is implemented, then this `rd()` call will give the same result at every call. cc yf225 Closes pytorch#9080 Differential Revision: D8748342 Pulled By: soumith fbshipit-source-id: 22987befee61ff7faacda5ecc10138c2ac5d26ff

…#9197) Summary: This is necessary for n-dimensional empty tensors, which have special native handling. Closes pytorch#9197 Differential Revision: D8744083 Pulled By: gchanan fbshipit-source-id: 3cc692a1d62cbeb169681b7c40e3df50e12953b7

Summary: Similar to pytorch#9187, This PR makes setting the `PYTORCH_TEST_WITH_ASAN` and `PYTORCH_TEST_WITH_UBSAN` flags easier internally, by allowing the flags to be set to `0`. Closes pytorch#9202 Differential Revision: D8745533 Pulled By: yf225 fbshipit-source-id: 6293f52f2e8b1c3ef150becfdc2dd7ded56d5d80

iotamudelta · 2018-07-06T18:27:27Z

@pytorchbot retest this please

Summary: Pull Request resolved: pytorch#60987 We were seeing deadlocks as follows during shutdown: ``` Thread 1 (LWP 2432101): #0 0x00007efca470190b in __pause_nocancel () from /lib64/libc.so.6 #1 0x00007efca49de485 in __pthread_mutex_lock_full () from /lib64/libpthread.so.0 #2 0x00007ef91d4c42c6 in __cuda_CallJitEntryPoint () from /lib64/libnvidia-ptxjitcompiler.so.1 #3 0x00007efc651ac8f1 in ?? () from /lib64/libcuda.so #4 0x00007efc651aee03 in ?? () from /lib64/libcuda.so #5 0x00007efc64f76b84 in ?? () from /lib64/libcuda.so #6 0x00007efc64f77f5d in ?? () from /lib64/libcuda.so #7 0x00007efc64eac858 in ?? () from /lib64/libcuda.so #8 0x00007efc64eacfbc in ?? () from /lib64/libcuda.so #9 0x00007efc7810a924 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #10 0x00007efc780fa2be in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #11 0x00007efc78111044 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #12 0x00007efc7811580a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #13 0x00007efc78115aa4 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #14 0x00007efc781079ec in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #15 0x00007efc780e6a7a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #16 0x00007efc7811cfa5 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #17 0x00007efc777ea98c in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #18 0x00007efc777ebd80 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #19 0x00007efc777ea2c9 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #20 0x00007efc778c2e2d in cublasDestroy_v2 () from /usr/local/cuda/lib64/libcublas.so.11 #21 0x00007efc51a3fb56 in std::_Sp_counted_ptr_inplace<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle>, std::allocator<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle> >, (__gnu_cxx::_Lock_policy)2>::_M_dispose() () from /data/users/pritam/pytorch/torch/lib/libtorch_cuda.so #22 0x00007efc51a3fc5f in std::shared_ptr<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle> >::~shared_ptr() () from /data/users/pritam/pytorch/torch/lib/libtorch_cuda.so #23 0x00007efca4648b0c in __run_exit_handlers () from /lib64/libc.so.6 #24 0x00007efca4648c40 in exit () from /lib64/libc.so.6 #25 0x0000558c8852e5f9 in Py_Exit (sts=0) at /tmp/build/80754af9/python_1614362349910/work/Python/pylifecycle.c:2292 #26 0x0000558c8852e6a7 in handle_system_exit () at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:636 #27 0x0000558c8852e742 in PyErr_PrintEx (set_sys_last_vars=<optimized out>, set_sys_last_vars=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:646 #28 0x0000558c88540dd6 in PyRun_SimpleStringFlags (command=0x7efca4dc9050 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=9, pipe_handle=13)\n", flags=0x7ffe3a986110) at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:457 #29 0x0000558c88540ead in pymain_run_command (cf=0x7ffe3a986110, command=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:420 #30 pymain_run_python (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:2907 #31 pymain_main (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3460 #32 0x0000558c8854122c in _Py_UnixMain (argc=<optimized out>, argv=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3495 #33 0x00007efca4632493 in __libc_start_main () from /lib64/libc.so.6 #34 0x0000558c884e5e90 in _start () at ../sysdeps/x86_64/elf/start.S:103 ``` This was likely caused due to a static singleton that wasn't leaky. Following the guidance in https://isocpp.org/wiki/faq/ctors#construct-on-first-use-v2 to use a leaky singleton instead. ghstack-source-id: 132847448 Test Plan: Verified locally. Reviewed By: malfet Differential Revision: D29468866 fbshipit-source-id: 89250594c5cd2643417b1da584c658b742dc5a5c

… of libtorch_python (pytorch#78028) Summary: This moves torch::class_<WorkerInfo> into `rpc_agent.cpp` so it gets registered in libtorch instead of libtorch_python. This is intermediate work to getting torch::deploy to load an unmodified copy of libtorch. Current RPC is incompatible due to duplicate registrations. ``` unknown file: Failure C++ exception with description "Exception Caught inside torch::deploy embedded library: Custom class with name __torch__.torch.classes.dist_rpc.WorkerInfo is already registered. Ensure that registration with torch::class_ is only called once. Exception raised from registerCustomClass at ../aten/src/ATen/core/custom_class.cpp:61 (most recent call first): frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x3e (0x7f3bd9adb92e in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libc10.so) frame ROCm#1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x5c (0x7f3bd9ab7068 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libc10.so) frame ROCm#2: torch::registerCustomClass(std::shared_ptr<c10::ClassType>) + 0x110 (0x7f3bc2258980 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so) frame ROCm#3: torch::detail::class_base::class_base(std::string const&, std::string const&, std::string, std::type_info const&, std::type_info const&) + 0x3b9 (0x7f3bc225a419 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so) frame ROCm#4: [0x7f3ba45cfea1] frame ROCm#5: <unknown function> + 0x1b5334 (0x5652bdab9334 in ./test_deploy) frame ROCm#6: <unknown function> + 0x1b4f3e (0x5652bdab8f3e in ./test_deploy) frame ROCm#7: <unknown function> + 0x1b519b (0x5652bdab919b in ./test_deploy) frame ROCm#8: loadSearchFile(char const*) + 0x23e (0x7f3ba62f37f8 in /tmp/torch_deploy9ATEFg) frame ROCm#9: deploy_set_self + 0x51 (0x7f3ba62f38f9 in /tmp/torch_deploy9ATEFg) frame ROCm#10: torch::deploy::Interpreter::Interpreter(torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>) + 0x274 (0x5652bdaaa790 in ./test_deploy) frame ROCm#11: void __gnu_cxx::new_allocator<torch::deploy::Interpreter>::construct<torch::deploy::Interpreter, torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(torch::deploy::Interpreter*, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0x81 (0x5652bdaaf58b in ./test_deploy) frame ROCm#12: void std::allocator_traits<std::allocator<torch::deploy::Interpreter> >::construct<torch::deploy::Interpreter, torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(std::allocator<torch::deploy::Interpreter>&, torch::deploy::Interpreter*, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0x4a (0x5652bdaae320 in ./test_deploy) frame ROCm#13: void std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> >::_M_realloc_insert<torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(__gnu_cxx::__normal_iterator<torch::deploy::Interpreter*, std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> > >, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0xee (0x5652bdaae4a0 in ./test_deploy) frame ROCm#14: void std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> >::emplace_back<torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0xb6 (0x5652bdaad258 in ./test_deploy) frame ROCm#15: torch::deploy::InterpreterManager::InterpreterManager(unsigned long, std::shared_ptr<torch::deploy::Environment>) + 0x123 (0x5652bdaa83b1 in ./test_deploy) frame ROCm#16: TorchpyTest_InitTwice_Test::TestBody() + 0x65 (0x5652bda075a9 in ./test_deploy) frame ROCm#17: void testing::internal::HandleSehExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x65 (0x5652bda944b7 in ./test_deploy) frame ROCm#18: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x5a (0x5652bda8cfe7 in ./test_deploy) frame ROCm#19: testing::Test::Run() + 0x100 (0x5652bda68622 in ./test_deploy) frame ROCm#20: testing::TestInfo::Run() + 0x10f (0x5652bda68fb3 in ./test_deploy) frame ROCm#21: testing::TestSuite::Run() + 0x121 (0x5652bda6980d in ./test_deploy) frame ROCm#22: testing::internal::UnitTestImpl::RunAllTests() + 0x38e (0x5652bda756e6 in ./test_deploy) frame ROCm#23: bool testing::internal::HandleSehExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x65 (0x5652bda9586b in ./test_deploy) frame ROCm#24: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x5a (0x5652bda8e0f7 in ./test_deploy) frame ROCm#25: testing::UnitTest::Run() + 0xc9 (0x5652bda73fd1 in ./test_deploy) frame ROCm#26: RUN_ALL_TESTS() + 0x11 (0x5652bda169fa in ./test_deploy) frame ROCm#27: main + 0x27 (0x5652bda10ce2 in ./test_deploy) frame ROCm#28: <unknown function> + 0x2d310 (0x7f3bc0431310 in /usr/lib/libc.so.6) frame ROCm#29: __libc_start_main + 0x81 (0x7f3bc04313c1 in /usr/lib/libc.so.6) frame ROCm#30: _start + 0x25 (0x5652bda063b5 in ./test_deploy) ``` Test Plan: CI Differential Revision: D36564258 Pull Request resolved: pytorch#78028 Approved by: https://github.com/rohan-varma

Hi! I was playing with libfuzzer and found bug when loading a model from file via `torch::jit::load` function. There is an unhandled exception in caffe2/serialize when calling a `stoull` function on unsanitized version string. The bug can be reproduced with `aot_model_compiler` binary: ``` aot_model_compiler --model=crash-stoull --model_name=name --model_version=1 --input_dims='1,3,224,224;2,2' --input_types='float;float' ``` Crash file is provided in [crash.zip](https://github.com/pytorch/pytorch/files/8701504/crash.zip). gdb output: ``` Temporary breakpoint 1, main (argc=6, argv=0x7ffcd160f9f8) at /pytorch_master/binaries/aot_model_compiler.cc:87 87 "Run NNC AOT compiler for pytorch model. Example usage:\n" (gdb) c Continuing. terminate called after throwing an instance of 'std::invalid_argument' what(): stoull Program received signal SIGABRT, Aborted. __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. (gdb) bt #0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50 #1 0x00007fa637f16859 in __GI_abort () at abort.c:79 #2 0x00007fa6381c1911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6 #3 0x00007fa6381cd38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6 #4 0x00007fa6381cd3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6 #5 0x00007fa6381cd6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6 #6 0x00007fa6381c42ce in std::__throw_invalid_argument(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6 #7 0x000000000247d567 in __gnu_cxx::__stoa<unsigned long long, unsigned long long, char, int> (__str=0x7ffcd160f228 "ZZ", __idx=0x0, __base=10, __convf=<optimized out>, __name=<optimized out>) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/string_conversions.h:83 #8 std::__cxx11::stoull (__str="ZZ", __idx=0x0, __base=10) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/basic_string.h:6577 #9 caffe2::serialize::PyTorchStreamReader::init (this=this@entry=0x8c11ce0) at /pytorch_master/caffe2/serialize/inline_container.cc:145 #10 0x000000000247d9c7 in caffe2::serialize::PyTorchStreamReader::PyTorchStreamReader (this=0x8c11ce0, in=std::shared_ptr<class caffe2::serialize::ReadAdapterInterface> (empty) = {...}) at /pytorch_master/caffe2/serialize/inline_container.cc:88 #11 0x00000000035b7ba4 in __gnu_cxx::new_allocator<caffe2::serialize::PyTorchStreamReader>::construct<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > ( __p=0x2, __args=..., this=<optimized out>) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/new_allocator.h:150 #12 std::allocator_traits<std::allocator<caffe2::serialize::PyTorchStreamReader> >::construct<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__a=..., __p=0x2, __p@entry=0x8c11ce0, __args=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/alloc_traits.h:512 #13 0x00000000035b1988 in std::_Sp_counted_ptr_inplace<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, (__gnu_cxx::_Lock_policy)2>::_Sp_counted_ptr_inplace<std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x8c11cd0, __a=..., __args=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:551 #14 std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a8, __p=@0x7ffcd160f3a0: 0x10, __args=..., __a=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:683 #15 std::__shared_ptr<caffe2::serialize::PyTorchStreamReader, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a0, __args=..., __tag=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1371 #16 std::shared_ptr<caffe2::serialize::PyTorchStreamReader>::shared_ptr<std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a0, __args=..., __tag=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:408 #17 std::allocate_shared<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__args=..., __a=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:859 #18 std::make_shared<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__args=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:875 #19 torch::jit::load (rai=std::shared_ptr<class caffe2::serialize::ReadAdapterInterface> (empty) = {...}, device=device@entry=..., Python Exception <class 'gdb.error'> No type named std::__detail::_Hash_node<struct std::pair<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> > >, true>.: extra_files=std::unordered_map with 0 elements) at /pytorch_master/torch/csrc/jit/serialization/import.cpp:474 #20 0x00000000035b1ef6 in torch::jit::load (filename="crash-stoull", device=device@entry=..., Python Exception <class 'gdb.error'> No type named std::__detail::_Hash_node<struct std::pair<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> > >, true>.: extra_files=std::unordered_map with 0 elements) at /pytorch_master/torch/csrc/jit/serialization/import.cpp:444 #21 0x00000000035b1d22 in torch::jit::load (filename="", device=device@entry=...) at /pytorch_master/torch/csrc/jit/serialization/import.cpp:424 #22 0x00000000008f9be3 in main (argc=1, argv=0x7ffcd160f9f8) at /pytorch_master/binaries/aot_model_compiler.cc:128 ``` Pull Request resolved: pytorch#77557 Approved by: https://github.com/Gamrix

…pp (pytorch#94295) Hi! I've been fuzzing different pytorch modules, and found a few crashes. Specifically, I'm talking about `schema_type_parser.cpp` and `irparser.cpp`. Inside these files, different standard conversion functions are used (such as `stoll`, `stoi`, `stod`, `stoull`). However, default `std` exceptions, such as `std::out_of_range`, `std::invalid_argument`, are not handled. Some of the crash-files: 1. [crash-493db74c3426e79b2bf0ffa75bb924503cb9acdc.zip](https://github.com/pytorch/pytorch/files/10237616/crash-493db74c3426e79b2bf0ffa75bb924503cb9acdc.zip) - crash source: schema_type_parser.cpp:272 2. [crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5.zip](https://github.com/pytorch/pytorch/files/10237618/crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5.zip) - crash source: schema_type_parser.cpp:240 3. [crash-0157bca5c41bffe112aa01f3b0f2099ca4bcc62f.zip](https://github.com/pytorch/pytorch/files/10307970/crash-0157bca5c41bffe112aa01f3b0f2099ca4bcc62f.zip) - crash source: schema_type_parser.cpp:179 4. [crash-430da923e56adb9569362efa7fa779921371b710.zip](https://github.com/pytorch/pytorch/files/10307972/crash-430da923e56adb9569362efa7fa779921371b710.zip) - crash source: schema_type_parser.cpp:196 The provided patch adds exception handlers for `std::invalid_argument` and `std::out_of_range`, to rethrow these exceptions with `ErrorReport`. ### How to reproduce 1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/blob/master/projects/pytorch/Dockerfile) 2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .` 3. Copy crash file to the current directory 5. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash`` 6. And execute the binary: `/irparser_fuzz /homedir/crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5` After execution completes you will see this error message: ```txt terminate called after throwing an instance of 'std::out_of_range' what(): stoll ``` And this stacktrace: ```asan ==9626== ERROR: libFuzzer: deadly signal #0 0x5b4cf1 in __sanitizer_print_stack_trace /llvm-project/compiler-rt/lib/asan/asan_stack.cpp:87:3 #1 0x529627 in fuzzer::PrintStackTrace() /llvm-project/compiler-rt/lib/fuzzer/FuzzerUtil.cpp:210:5 #2 0x50f833 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3 #3 0x7ffff7c3741f (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f) #4 0x7ffff7a5700a in raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300a) #5 0x7ffff7a36858 in abort (/lib/x86_64-linux-gnu/libc.so.6+0x22858) #6 0x7ffff7e74910 (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910) #7 0x7ffff7e8038b (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b) #8 0x7ffff7e803f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6) #9 0x7ffff7e806a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8) #10 0x7ffff7e7737d in std::__throw_out_of_range(char const*) (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa137d) #11 0xbd0579 in long long __gnu_cxx::__stoa<long long, long long, char, int>(long long (*)(char const*, char**, int), char const*, char const*, unsigned long*, int) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/string_conversions.h:86:2 #12 0xc10f9c in std::__cxx11::stoll(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, unsigned long*, int) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/basic_string.h:6572:12 #13 0xc10f9c in torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const::'lambda'()::operator()() const /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:240:25 #14 0xc10f9c in void c10::function_ref<void ()>::callback_fn<torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const::'lambda'()>(long) /pytorch_fuzz/c10/util/FunctionRef.h:43:12 #15 0xbfbb27 in torch::jit::SchemaTypeParser::parseList(int, int, int, c10::function_ref<void ()>) /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:424:7 #16 0xc0ef24 in torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:236:9 #17 0xc0ef24 in void c10::function_ref<void ()>::callback_fn<torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2>(long) /pytorch_fuzz/c10/util/FunctionRef.h:43:12 #18 0xbfbb27 in torch::jit::SchemaTypeParser::parseList(int, int, int, c10::function_ref<void ()>) /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:424:7 #19 0xbff590 in torch::jit::SchemaTypeParser::parseRefinedTensor() /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:209:3 #20 0xc02992 in torch::jit::SchemaTypeParser::parseType() /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:362:13 #21 0x9445642 in torch::jit::IRParser::parseVarWithType(bool) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:111:35 #22 0x944ff4c in torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0::operator()() const /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:138:21 #23 0x944ff4c in void std::__invoke_impl<void, torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0&>(std::__invoke_other, torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 #24 0x94463a7 in torch::jit::IRParser::parseList(int, int, int, std::function<void ()> const&) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:498:7 #25 0x94460a5 in torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:137:3 #26 0x944c1ce in torch::jit::IRParser::parseOperator(torch::jit::Block*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:384:3 #27 0x944bf56 in torch::jit::IRParser::parseOperatorsList(torch::jit::Block*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:362:5 #28 0x9444f5f in torch::jit::IRParser::parse() /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:482:3 #29 0x94448df in torch::jit::parseIR(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Graph*, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, torch::jit::Value*, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, torch::jit::Value*> > >&) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:94:5 #30 0x944526e in torch::jit::parseIR(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Graph*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:99:3 #31 0x5e3ebd in LLVMFuzzerTestOneInput /irparser_fuzz.cc:43:5 #32 0x510d61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15 #33 0x4fac7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6 #34 0x5009cb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9 #35 0x529f62 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10 #36 0x7ffff7a38082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) #37 0x4f559d in _start (/irparser_fuzz+0x4f559d) ``` Following these steps with the remaining crashes will give you almost the same results. Pull Request resolved: pytorch#94295 Approved by: https://github.com/davidberard98

…ytorch#94300) Hi! I've been fuzzing different pytorch modules, and found a crash inside one of them. Specifically, I'm talking about a module for unpickling and a function called `Unpickler::readInstruction()`. Running this function with provided crash file results in a crash, which occurs while calling `auto dict = stack_.at(dict_pos).toGenericDict();` [unpickler.cpp:561](https://github.com/pytorch/pytorch/blob/0e94fbc0c8ab1572c88159c1a4c397b6eb824c01/torch/csrc/jit/serialization/unpickler.cpp#L561). The crash occurs, because the index `dict_pos` is out of bounds (which itself happens because the stack size is 0). Besides this pull-request, there is another one related to unpickler hardening: pytorch#84343 All tests were performed on this pytorch version: [abc54f9](https://github.com/pytorch/pytorch/tree/abc54f93145830b502400faa92bec86e05422fbd) ### How to reproduce 1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch) 2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .` 3. Copy crash file to the current directory: - [crash-042dff5e121580425d9d34d0f293918f3c9fbf1e.zip](https://github.com/pytorch/pytorch/files/10674361/crash-042dff5e121580425d9d34d0f293918f3c9fbf1e.zip) 4. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash`` 5. And execute the binary: `/message_deserialize_sydr /homedir/crash-042dff5e121580425d9d34d0f293918f3c9fbf1e` After execution completes you will see this error message: ```txt terminate called after throwing an instance of 'std::out_of_range' what(): vector::_M_range_check: __n (which is 18446744073709551613) >= this->size() (which is 0) ``` And this stacktrace: ```asan erminate called after throwing an instance of 'std::out_of_range' what(): vector::_M_range_check: __n (which is 18446744073709551613) >= this->size() (which is 0) ==39== ERROR: libFuzzer: deadly signal #0 0x5d0df1 in __sanitizer_print_stack_trace /llvm-project/compiler-rt/lib/asan/asan_stack.cpp:87:3 #1 0x545727 in fuzzer::PrintStackTrace() /llvm-project/compiler-rt/lib/fuzzer/FuzzerUtil.cpp:210:5 #2 0x52b933 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3 #3 0x7f9118e0341f (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f) #4 0x7f9118c2300a in raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300a) #5 0x7f9118c02858 in abort (/lib/x86_64-linux-gnu/libc.so.6+0x22858) #6 0x7f9119040910 (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910) #7 0x7f911904c38b (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b) #8 0x7f911904c3f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6) #9 0x7f911904c6a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8) #10 0x7f91190433aa (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa13aa) #11 0x63acdf in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_range_check(unsigned long) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1073:4 #12 0xce8f93e in std::vector<c10::IValue, std::allocator<c10::IValue> >::at(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1094:2 #13 0xce8f93e in torch::jit::Unpickler::readInstruction() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:546:26 #14 0xce8d527 in torch::jit::Unpickler::run() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:235:27 #15 0xce8d1c2 in torch::jit::Unpickler::parse_ivalue() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:192:3 #16 0xcdf0792 in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:127:20 #17 0xcdf104d in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:137:10 #18 0xe0532db in torch::distributed::rpc::ScriptRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/script_remote_call.cpp:74:16 #19 0xe0ffa10 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/utils.cpp:108:14 #20 0x602a41 in LLVMFuzzerTestOneInput /message_deserialize_fuzz.cc:192:27 #21 0x52ce61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15 #22 0x516d7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6 #23 0x51cacb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9 #24 0x546062 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10 #25 0x7f9118c04082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) #26 0x51169d in _start (/message_deserialize_fuzz+0x51169d) NOTE: libFuzzer has rudimentary signal handlers. Combine libFuzzer with AddressSanitizer or similar for better crash reports. SUMMARY: libFuzzer: deadly signal ``` Pull Request resolved: pytorch#94300 Approved by: https://github.com/malfet, https://github.com/apach301

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 ROCm#1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215 ROCm#2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69 ROCm#3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#8 0x3ff4b23c771 in c10::ArrayRef<c10::SymInt>::equals(c10::ArrayRef<c10::SymInt>) const /home/user/pytorch/c10/util/ArrayRef.h:188 ROCm#9 0x3ff4cb91bc1 in bool c10::operator!=<c10::SymInt>(c10::ArrayRef<c10::SymInt>, c10::ArrayRef<c10::SymInt>) /home/user/pytorch/c10/util/ArrayRef.h:341 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#27 0x3ff79b44fcf in at::Tensor::resize__symint(c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const aten/src/ATen/core/TensorBody.h:2452 ROCm#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 ROCm#29 0x3ff7999f1eb in torch::autograd::THPVariable_resize_(_object*, _object*, _object*) /home/user/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13419 ROCm#30 0x3ffa2c9b009 in method_vectorcall_VARARGS_KEYWORDS Objects/descrobject.c:344 ROCm#31 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#32 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#33 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#34 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#35 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#36 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#37 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#38 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#39 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#40 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#41 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#42 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#43 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#44 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#45 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#46 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#47 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#48 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#49 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#50 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#51 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#52 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#53 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#54 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#55 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#56 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#57 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#58 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#59 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#60 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#61 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#62 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#63 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#64 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#65 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#66 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#67 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#68 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#69 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#70 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#71 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#72 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#73 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#74 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#75 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#76 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#77 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#78 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#79 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#80 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#81 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#82 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#83 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#84 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#85 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#86 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#87 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#88 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#89 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#90 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#91 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#92 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#93 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#94 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#95 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#96 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#97 0x3ffa2c8ab9b in PyVectorcall_Call Objects/call.c:267 ROCm#98 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#99 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#100 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#101 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#102 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#103 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#104 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#105 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#106 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#107 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#108 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#109 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#110 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#111 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#112 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#113 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#114 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#115 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#116 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#117 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#118 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#119 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#120 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#121 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#122 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#123 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#124 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#125 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#126 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#127 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#128 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#129 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#130 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#131 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#132 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#133 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#134 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#135 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#136 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#137 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#138 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#139 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#140 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#141 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#142 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#143 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#144 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#145 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#146 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#147 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#148 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#149 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#150 0x3ffa2c8ad17 in _PyObject_Call Objects/call.c:305 ROCm#151 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#152 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#153 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#154 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#155 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#156 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#157 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#158 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#159 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#160 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#161 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#162 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#163 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#164 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#165 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#166 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#167 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#168 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#169 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#170 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#171 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#172 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#173 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#174 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#175 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#176 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#177 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#178 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#179 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#180 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#181 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#182 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#183 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#184 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#185 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#186 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#187 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#188 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#189 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#190 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#191 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#192 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#193 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#194 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#195 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#196 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#197 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#198 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#199 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#200 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#201 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#202 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#203 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#204 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#205 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#206 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#207 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#208 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#209 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#210 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#211 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#212 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#213 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#214 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#215 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#216 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#217 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#218 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#219 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#220 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#221 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#222 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#223 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#224 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#225 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#226 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#227 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#228 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#229 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#230 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#231 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 ROCm#232 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 ROCm#233 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 ROCm#234 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#235 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#236 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#237 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#238 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#239 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#240 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#241 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#242 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#243 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#244 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#245 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#246 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 ROCm#247 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#248 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#249 0x3ffa2e05447 in call_function Python/ceval.c:5891 ROCm#250 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#251 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#252 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#253 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#254 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#255 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#256 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#1 0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75 ROCm#2 0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291 ROCm#3 0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370 ROCm#4 0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80 ROCm#5 0x000003ff63e85ee0 in at::Tensor::~Tensor (this=0x3ffd7ec8230) at aten/src/ATen/core/TensorBody.h:90 ROCm#6 0x000003ff63f67304 in resize__functionalization (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/aten/src/ATen/FunctionalizeFallbackKernel.cpp:173 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#13 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 ROCm#14 0x000003ff861d5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 ROCm#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 ROCm#1 0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69 ROCm#2 0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#7 0x000003ff2ff3c772 in c10::ArrayRef<c10::SymInt>::equals (this=0x3ffed7c9900, RHS=...) at /home/user/pytorch/c10/util/ArrayRef.h:188 ROCm#8 0x000003ff31891bc2 in c10::operator!=<c10::SymInt> (a1=..., a2=...) at /home/user/pytorch/c10/util/ArrayRef.h:341 ROCm#9 0x000003ff51eb5800 in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:408 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#16 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 ROCm#17 0x000003ff51ed5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 ROCm#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 ROCm#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 ROCm#2 0x3ff84d807d1 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:617 ROCm#3 0x3ff84d80305 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 ROCm#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 ROCm#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&)ROCm#1}::operator()(pybind11::detail::function_call&) const /home/user/pytorch/cmake/../third_party/pybin d11/include/pybind11/pybind11.h:249 ROCm#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&)ROCm#1}::__invoke(pybind11::detail::function_call&) /home/user/pytorch/cmake/../third_party/pybind11/incl ude/pybind11/pybind11.h:224 ROCm#7 0x3ff82ee52e9 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929 ROCm#8 0x3ffab002903 in cfunction_call Objects/methodobject.c:543 ROCm#9 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#10 0x3ffaaf8e919 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#11 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#12 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#13 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#14 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#15 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#16 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#17 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#18 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#19 0x3ffaaf8a615 in _PyObject_FastCallDictTstate Objects/call.c:142 ROCm#20 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#21 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#22 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#23 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#24 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#25 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#26 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#27 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#28 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#29 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#30 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#31 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#32 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#33 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#34 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#35 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#36 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#37 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#38 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#39 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#40 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#41 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#42 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#43 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#44 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#45 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#46 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#47 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#48 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#49 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#50 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#51 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#52 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#53 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#54 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#55 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#56 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#57 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#58 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#59 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#60 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#61 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#62 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#63 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#64 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#65 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#66 0x3ffaaf8ab9b in PyVectorcall_Call Objects/call.c:267 ROCm#67 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 ROCm#68 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#69 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#70 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#71 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#72 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#73 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#74 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#75 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#76 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#77 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#78 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#79 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#80 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#81 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#82 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#83 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#84 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#85 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#86 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#87 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#88 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#89 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#90 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#91 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#92 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#93 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 ROCm#94 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#95 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#96 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#97 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#98 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#99 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#100 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#101 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#102 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#103 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#104 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#105 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#106 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#107 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#108 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#109 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#110 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#111 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#112 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#113 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#114 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#115 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#116 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#117 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#118 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#119 0x3ffaaf8ad17 in _PyObject_Call Objects/call.c:305 ROCm#120 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#121 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#122 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#123 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#124 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#125 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#126 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#127 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#128 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#129 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#130 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#131 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#132 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#133 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#134 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#135 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#136 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#137 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#138 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#139 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#140 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#141 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#142 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#143 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 ROCm#144 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#145 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#146 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#147 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#148 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#149 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#150 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#151 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#152 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#153 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#154 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#155 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#156 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#157 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#158 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#159 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#160 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#161 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#162 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#163 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#164 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#165 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 ROCm#166 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#167 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#168 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#169 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#170 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#171 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#172 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#173 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#174 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#175 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#176 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#177 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#178 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#179 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#180 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#181 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#182 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#183 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#184 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#185 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#186 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#187 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#188 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#189 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#190 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#191 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#192 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#193 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#194 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#195 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#196 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#197 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#198 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#199 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#200 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 ROCm#201 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 ROCm#202 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 ROCm#203 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#204 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#205 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#206 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#207 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#208 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#209 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#210 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#211 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#212 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#213 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#214 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#215 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 ROCm#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#217 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#218 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#219 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#220 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#221 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#222 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#223 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 ROCm#224 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#225 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 ROCm#226 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#227 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#228 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#229 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#230 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 ROCm#231 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#232 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#233 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#234 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#235 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#236 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#237 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#238 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#239 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#240 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#241 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#242 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#243 0x3ffab105447 in call_function Python/ceval.c:5891 ROCm#244 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#245 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#246 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 ROCm#247 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 ROCm#248 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#14 0x000003ff4115fbac in c10::ivalue::TupleTypeFactory<c10::TupleType>::fallback (type=...) at /home/user/pytorch/aten/src/ATen/core/dynamic_type.cpp:383 ROCm#15 0x000003ff708217fe in c10::ivalue::Tuple::type<c10::TupleType> (this=0x6080004b8520) at /home/user/pytorch/aten/src/ATen/core/ivalue_inl.h:781 ROCm#16 0x000003ff70800740 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 ROCm#17 0x000003ff70800306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 ROCm#18 0x000003ff702d6872 in pybind11::detail::type_caster<c10::IValue, void>::cast (src=...) at /home/user/pytorch/torch/csrc/jit/python/pybind.h:138 ROCm#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&)ROCm#1}::operator()(pybind11::detail::function_call&) const (this=0x3ffdbb4ca20, call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:249 ROCm#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&)ROCm#1}::__invoke(pybind11::detail::function_call&) (call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:224 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#9 0x000003ff448d82f6 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 ROCm#10 0x000003ff448d8346 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#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 ROCm#16 0x000003ff73d00788 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 ROCm#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

3 disabled functions are attempting out of bounds reads. Disable them until sleef library is fixed. <details> <summary>ASAN report</summary> ``` ================================================================= ==2030580==ERROR: AddressSanitizer: global-buffer-overflow on address 0x03ff70f54570 at pc 0x03ff6704e960 bp 0x03ffce128940 sp 0x03ffce128930 READ of size 4 at 0x03ff70f54570 thread T0 #0 0x3ff6704e95f in vgather_vf_p_vi2 /home/user/pytorch/third_party/sleef/src/arch/helpers390x_128.h:129 ROCm#1 0x3ff6704e95f in rempif /home/user/pytorch/third_party/sleef/src/libm/sleefsimdsp.c:550 ROCm#2 0x3ff6704e95f in Sleef_cosf4_u10vxe2 /home/user/pytorch/third_party/sleef/src/libm/sleefsimdsp.c:1021 ROCm#3 0x3ff67029cfb in Sleef_cosf4_u10 /home/user/pytorch/build/sleef/src/libm/disps390x_128.c:182 ROCm#4 0x3ff55d21941 in at::vec::ZVECTOR::Vectorized<float, void> at::vec::ZVECTOR::Vectorized<float, void>::mapSleef<float __vector(4) const (*)(float __vector(4)), double __vector(2) const (*)(double __ vector(2)), float, 0>(float __vector(4) const (*)(float __vector(4)), double __vector(2) const (*)(double __vector(2))) const /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:991 ROCm#5 0x3ff5689ad01 in at::vec::ZVECTOR::Vectorized<float, void>::cos() const /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:1074 ROCm#6 0x3ff5685df97 in at::vml::ZVECTOR::vcos<float>(float*, float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)ROCm#1}::operator()(at::vec::ZVECTOR::Vectorized<float, void>) const /home/ user/pytorch/aten/src/ATen/cpu/vml.h:71 ROCm#7 0x3ff5689b691 in void at::vec::map<float, at::vml::ZVECTOR::vcos<float>(float*, float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)ROCm#1}, 0>(at::vml::ZVECTOR::vcos<float>(float*, float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)ROCm#1} const&, float*, float const*, long) /home/user/pytorch/aten/src/ATen/cpu/vec/functional_base.h:239 ROCm#8 0x3ff5685e0df in void at::vml::ZVECTOR::vcos<float>(float*, float const*, long) /home/user/pytorch/aten/src/ATen/cpu/vml.h:71 ROCm#9 0x3ff563fdde3 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770 ROCm#10 0x3ff5648e4a3 in operator() /home/user/pytorch/aten/src/ATen/TensorIterator.h:406 ROCm#11 0x3ff5663cae1 in callback_fn<at::TensorIteratorBase::loop_2d_from_1d<at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)> >(c onst at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)> > /home/user/pytorch/ c10/util/FunctionRef.h:43 ROCm#12 0x3ff4d45a933 in c10::function_ref<void (char**, long const*, long, long)>::operator()(char**, long const*, long, long) const /home/user/pytorch/c10/util/FunctionRef.h:64 ROCm#13 0x3ff4d455133 in at::internal::serial_for_each(c10::ArrayRef<long>, c10::ArrayRef<long>, char**, unsigned long, c10::function_ref<void (char**, long const*, long, long)>, at::Range) /home/user/pyt orch/aten/src/ATen/TensorIteratorInternal.h:52 ROCm#14 0x3ff4d43b703 in at::TensorIteratorBase::serial_for_each(c10::function_ref<void (char**, long const*, long, long)>, at::Range) const /home/user/pytorch/aten/src/ATen/TensorIterator.cpp:777 ROCm#15 0x3ff4d43ab59 in at::TensorIteratorBase::for_each(c10::function_ref<void (char**, long const*, long, long)>, long) /home/user/pytorch/aten/src/ATen/TensorIterator.cpp:749 ROCm#16 0x3ff5648e851 in for_each<at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)> > /home/user/pytorch/aten/src/ATen/TensorItera tor.h:421 ROCm#17 0x3ff563fe5f9 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770 ROCm#18 0x3ff56400915 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770 ROCm#19 0x3ff56400f1d in at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&) /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770 ROCm#20 0x3ff4f303007 in void at::native::DispatchStub<void (*)(at::TensorIteratorBase&), at::native::cos_stub>::operator()<at::native::structured_cos_out&>(c10::DeviceType, at::native::structured_cos_out &) /home/user/pytorch/aten/src/ATen/native/DispatchStub.h:158 ROCm#21 0x3ff4f2edb3f in at::native::structured_cos_out::impl(at::Tensor const&, at::Tensor const&) /home/user/pytorch/aten/src/ATen/native/UnaryOps.cpp:330 ROCm#22 0x3ff526ef739 in wrapper_CPU_cos /home/user/pytorch/build/aten/src/ATen/RegisterCPU.cpp:4307 ROCm#23 0x3ff52c651d9 in operator() /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 ROCm#24 0x3ff52c651d9 in call /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:463 ROCm#25 0x3ff5076df2f in at::Tensor c10::callUnboxedKernelFunction<at::Tensor, at::Tensor const&>(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) /home/user/pytorch/aten/src/ATen/core /boxing/KernelFunction_impl.h:50 ROCm#26 0x3ff5009a93f in at::Tensor c10::KernelFunction::call<at::Tensor, at::Tensor const&>(c10::OperatorHandle const&, c10::DispatchKeySet, at::Tensor const&) const /home/user/pytorch/aten/src/ATen/core /boxing/KernelFunction_impl.h:103 ROCm#27 0x3ff5009a93f in at::Tensor c10::Dispatcher::call<at::Tensor, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)> const&, at::Tensor const&) const /home/user/pytorch/aten/s rc/ATen/core/dispatch/Dispatcher.h:639 ROCm#28 0x3ff5009a93f in c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)>::call(at::Tensor const&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487 ROCm#29 0x3ff5009a93f in at::_ops::cos::call(at::Tensor const&) /home/user/pytorch/build/aten/src/ATen/Operators_0.cpp:2215 ROCm#30 0x3ff7d813741 in at::Tensor::cos() const /home/user/pytorch/build/aten/src/ATen/core/TensorBody.h:2107 ROCm#31 0x3ff7dc0f2b7 in operator() /home/user/pytorch/torch/csrc/autograd/generated/python_torch_functions_2.cpp:2953 ROCm#32 0x3ff7dc0faf7 in THPVariable_cos /home/user/pytorch/torch/csrc/autograd/generated/python_torch_functions_2.cpp:2955 ROCm#33 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543 ROCm#34 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#35 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#36 0x3ffa5feb50d in do_call_core Python/ceval.c:5915 ROCm#37 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#38 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#39 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#40 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#41 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#42 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#43 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#44 0x3ff7f87a393 in torch::impl::dispatch::PythonKernelHolder::operator()(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/ torch/csrc/utils/python_dispatch.cpp:175 ROCm#45 0x3ff7f8871a7 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch:: PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)ROCm#1}::operator()(c10::OperatorKernel*, c10::Op eratorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:87 ROCm#46 0x3ff7f887261 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch:: PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)ROCm#1}::_FUN(c10::OperatorKernel*, c10::Operator Handle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:86 ROCm#47 0x3ff7e0d10ab in c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/b oxing/BoxedKernel_impl.h:41 ROCm#48 0x3ff7e0d1459 in c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/cor e/boxing/KernelFunction_impl.h:43 ROCm#49 0x3ff7f876421 in c10::Dispatcher::callBoxed(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:6 91 ROCm#50 0x3ff4d22bcdd in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:417 ROCm#51 0x3ff65a092d5 in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:421 ROCm#52 0x3ff65a05641 in operator() /home/user/pytorch/torch/csrc/jit/runtime/register_c10_ops.cpp:15 ROCm#53 0x3ff65a08cb5 in __invoke_impl<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c1 0::IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:61 ROCm#54 0x3ff65a0897b in __invoke_r<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c10:: IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:111 ROCm#55 0x3ff65a084e1 in _M_invoke /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/std_function.h:290 ROCm#56 0x3ff7eb2cb21 in std::function<void (std::vector<c10::IValue, std::allocator<c10::IValue> >&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /usr/lib/gcc/s390x-ibm-lin ux-gnu/11/include/g++-v11/bits/std_function.h:590 ROCm#57 0x3ff7eb1b659 in torch::jit::Operation::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /home/user/pytorch/aten/src/ATen/core/stack.h:41 ROCm#58 0x3ff7eb08449 in torch::jit::invokeOperatorFromPython(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, pybind11::args, pybind11:: kwargs const&, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:764 ROCm#59 0x3ff7eb09d85 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol, pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:829 ROCm#60 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549 ROCm#61 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::vo id_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439 ROCm#62 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> /h ome/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408 ROCm#63 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249 ROCm#64 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224 ROCm#65 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929 ROCm#66 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543 ROCm#67 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#68 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#69 0x3ffa5feb50d in do_call_core Python/ceval.c:5915 ROCm#70 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#71 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#72 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#73 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#74 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142 ROCm#75 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#76 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494 ROCm#77 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#78 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#79 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#80 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#81 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#82 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#83 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#84 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#85 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#86 0x3ffa5feb289 in call_function Python/ceval.c:5891 ROCm#87 0x3ffa5fe5c3b in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#88 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#89 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#90 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#91 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#92 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#93 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#94 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#95 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#96 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#97 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#98 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#99 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#100 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#101 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#102 0x3ff7f87a393 in torch::impl::dispatch::PythonKernelHolder::operator()(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch /torch/csrc/utils/python_dispatch.cpp:175 ROCm#103 0x3ff7f8871a7 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch: :PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)ROCm#1}::operator()(c10::OperatorKernel*, c10::O peratorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:87 ROCm#104 0x3ff7f887261 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch: :PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)ROCm#1}::_FUN(c10::OperatorKernel*, c10::Operato rHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:86 ROCm#105 0x3ff7e0d10ab in c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/ boxing/BoxedKernel_impl.h:41 ROCm#106 0x3ff7e0d1459 in c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/co re/boxing/KernelFunction_impl.h:43 ROCm#107 0x3ff7f876421 in c10::Dispatcher::callBoxed(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h: 691 ROCm#108 0x3ff4d22bcdd in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:417 ROCm#109 0x3ff65a092d5 in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:421 ROCm#110 0x3ff65a05641 in operator() /home/user/pytorch/torch/csrc/jit/runtime/register_c10_ops.cpp:15 ROCm#111 0x3ff65a08cb5 in __invoke_impl<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c 10::IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:61 ROCm#112 0x3ff65a0897b in __invoke_r<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c10: :IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:111 ROCm#113 0x3ff65a084e1 in _M_invoke /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/std_function.h:290 ROCm#114 0x3ff7eb2cb21 in std::function<void (std::vector<c10::IValue, std::allocator<c10::IValue> >&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /usr/lib/gcc/s390x-ibm-li nux-gnu/11/include/g++-v11/bits/std_function.h:590 ROCm#115 0x3ff7eb1b659 in torch::jit::Operation::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /home/user/pytorch/aten/src/ATen/core/stack.h:41 ROCm#116 0x3ff7eb08449 in torch::jit::invokeOperatorFromPython(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, pybind11::args, pybind11: :kwargs const&, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:764 ROCm#117 0x3ff7eb09d85 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol, pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:829 ROCm#118 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549 ROCm#119 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::v oid_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439 ROCm#120 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> / home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408 ROCm#121 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249 ROCm#122 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224 ROCm#123 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929 ROCm#124 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543 ROCm#125 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#126 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#127 0x3ffa5feb50d in do_call_core Python/ceval.c:5915 ROCm#128 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#129 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#130 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#131 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#132 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142 ROCm#133 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#134 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494 ROCm#135 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#136 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#137 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#138 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#139 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#140 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#141 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#142 0x3ffa5e87d2b in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#143 0x3ffa5e882dd in method_vectorcall Objects/classobject.c:83 ROCm#144 0x3ffa5e836d3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#145 0x3ffa5e84b6f in _PyObject_CallFunctionVa Objects/call.c:485 ROCm#146 0x3ffa5e84f2d in callmethod Objects/call.c:557 ROCm#147 0x3ffa5e85039 in PyObject_CallMethod Objects/call.c:577 ROCm#148 0x3ff7f7efa05 in torch::handle_torch_function_no_python_arg_parser(c10::ArrayRef<pybind11::handle>, _object*, _object*, char const*, _object*, char const*, torch::TorchFunctionName) /home/user/py torch/torch/csrc/utils/python_arg_parser.cpp:338 ROCm#149 0x3ff7eb09b67 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol, pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:827 ROCm#150 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549 ROCm#151 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::v oid_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439 ROCm#152 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> / home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408 ROCm#153 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249 ROCm#154 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224 ROCm#155 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929 ROCm#156 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543 ROCm#157 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#158 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#159 0x3ffa5feb50d in do_call_core Python/ceval.c:5915 ROCm#160 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#161 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#162 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#163 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#164 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142 ROCm#165 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#166 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494 ROCm#167 0x3ffa5e84027 in _PyObject_MakeTpCall Objects/call.c:215 ROCm#168 0x3ffa5fd767b in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 ROCm#169 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#170 0x3ffa5feb289 in call_function Python/ceval.c:5891 ROCm#171 0x3ffa5fe5ad1 in _PyEval_EvalFrameDefault Python/ceval.c:4181 ROCm#172 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#173 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#174 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#175 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#176 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#177 0x3ffa5feb289 in call_function Python/ceval.c:5891 ROCm#178 0x3ffa5fe5c3b in _PyEval_EvalFrameDefault Python/ceval.c:4213 ROCm#179 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#180 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#181 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#182 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267 ROCm#183 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#184 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#185 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#186 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#187 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#188 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#189 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#190 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#191 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#192 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#193 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#194 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#195 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#196 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#197 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#198 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#199 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#200 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#201 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#202 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#203 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#204 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#205 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#206 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255 ROCm#207 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#208 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#209 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#210 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#211 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#212 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#213 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#214 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142 ROCm#215 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431 ROCm#216 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494 ROCm#217 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305 ROCm#218 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#219 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#220 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#221 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#222 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#223 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#224 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 ROCm#225 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123 ROCm#226 0x3ffa5feb289 in call_function Python/ceval.c:5891 ROCm#227 0x3ffa5fe5b21 in _PyEval_EvalFrameDefault Python/ceval.c:4198 ROCm#228 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#229 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#230 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#231 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267 ROCm#232 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#233 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#234 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#235 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#236 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#237 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#238 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#239 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267 ROCm#240 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#241 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#242 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#243 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#244 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#245 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#246 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#247 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267 ROCm#248 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290 ROCm#249 0x3ffa5e84483 in PyObject_Call Objects/call.c:317 ROCm#250 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943 ROCm#251 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277 ROCm#252 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 ROCm#253 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065 ROCm#254 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342 ROCm#255 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267 0x03ff70f54570 is located 0 bytes to the right of global variable 'Sleef_rempitabsp' defined in '/home/user/pytorch/third_party/sleef/src/libm/rempitab.c:986:34' (0x3ff70f53f00) of size 1648 SUMMARY: AddressSanitizer: global-buffer-overflow /home/user/pytorch/third_party/sleef/src/arch/helpers390x_128.h:129 in vgather_vf_p_vi2 Shadow bytes around the buggy address: 0x10007fee1ea850: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea860: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea870: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea880: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea890: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 =>0x10007fee1ea8a0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00[f9]f9 0x10007fee1ea8b0: f9 f9 f9 f9 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea8c0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea8d0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea8e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x10007fee1ea8f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 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 ==2030580==ABORTING ``` </details> It reproduces when running `pytest -v test/test_ops.py -k test_python_ref__refs_cos_cpu_bfloat16` under address sanitizer on s390x. See also: shibatch/sleef#464 Pull Request resolved: pytorch#102266 Approved by: https://github.com/malfet

…2156) Hi! I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a multiple crashes in torch::jit::load() function. All found errors could be reproduced with provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch). ### Crash in torch/csrc/jit/unpickler.cpp:1075 [crash-1f59083b8396c5b62b4705c7556e68f129e833b1.zip](https://github.com/pytorch/pytorch/files/11552947/crash-1f59083b8396c5b62b4705c7556e68f129e833b1.zip) ```asan "#0 0x00007ffff7a5600b in raise () from /lib/x86_64-linux-gnu/libc.so.6", "ROCm#1 0x00007ffff7a35859 in abort () from /lib/x86_64-linux-gnu/libc.so.6", "ROCm#2 0x00007ffff7ce3911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#3 0x00007ffff7cef38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#4 0x00007ffff7cef3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#5 0x00007ffff7cef6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#6 0x00007ffff7ce6326 in std::__throw_length_error(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#7 0x00007ffff7d87edc in std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >::_M_create(unsigned long&, unsigned long) () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#8 0x00007ffff7d88880 in std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >::reserve(unsigned long) () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#9 0x000000000ea52931 in torch::jit::Unpickler::readBytes[abi:cxx11](unsigned long) (this=this@entry=0x7fffffffac10, length=length@entry=8358680908539635837) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:1075", "ROCm#10 0x000000000ea4c3a0 in torch::jit::Unpickler::readInstruction (this=0x7fffffff90d0) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:355", "ROCm#11 0x000000000ea49eb8 in torch::jit::Unpickler::run (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251", "ROCm#12 0x000000000ea49b12 in torch::jit::Unpickler::parse_ivalue (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204", "ROCm#13 0x000000000e960a9f in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=<optimized out>, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53", "ROCm#14 0x000000000e8ef599 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=0x7fffffffbc60, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184", "ROCm#15 0x000000000e8eb886 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=<optimized out>, device=..., extra_files=..., restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:287", "ROCm#16 0x000000000e8e9cc5 in torch::jit::import_ir_module (cu=..., in=..., device=..., extra_files=..., load_debug_files=<optimized out>, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386", "ROCm#17 0x000000000e8f37bf in torch::jit::import_ir_module (cu=..., in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:322", "ROCm#18 0x000000000e8f615a in torch::jit::load (in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:482", "ROCm#19 0x00000000005c2d61 in LLVMFuzzerTestOneInput (data=<optimized out>, size=1663) at /load.cc:42", "ROCm#20 0x00000000005c2a8e in ExecuteFilesOnyByOne (argc=2, argv=0x7fffffffc6b8, callback=callback@entry=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255", "ROCm#21 0x00000000005c2899 in LLVMFuzzerRunDriver (argcp=argcp@entry=0x7fffffffc5b4, argvp=argvp@entry=0x7fffffffc5b8, callback=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:364", "ROCm#22 0x00000000005c2459 in main (argc=2, argv=0x7fffffffc6b8) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300" ``` ### Crash in torch/csrc/jit/unpickler.cpp:386 [crash-2e9923de375c393e700e8c0441f0ebe8252ca364.zip](https://github.com/pytorch/pytorch/files/11552950/crash-2e9923de375c393e700e8c0441f0ebe8252ca364.zip) ```asan "#0 0x00007ffff7a5600b in raise () from /lib/x86_64-linux-gnu/libc.so.6", "ROCm#1 0x00007ffff7a35859 in abort () from /lib/x86_64-linux-gnu/libc.so.6", "ROCm#2 0x00007ffff7ce3911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#3 0x00007ffff7cef38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#4 0x00007ffff7cef3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#5 0x00007ffff7cef6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#6 0x00007ffff7ce6326 in std::__throw_length_error(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6", "ROCm#7 0x0000000000670aff in std::vector<c10::IValue, std::allocator<c10::IValue> >::reserve (this=this@entry=0x7fffffff9750, __n=__n@entry=18446744073709551614) at /usr/include/c++/10/bits/vector.tcc:70", "ROCm#8 0x000000000ea4d5cd in torch::jit::Unpickler::readInstruction (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:386", "ROCm#9 0x000000000ea49eb8 in torch::jit::Unpickler::run (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251", "ROCm#10 0x000000000ea49b12 in torch::jit::Unpickler::parse_ivalue (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204", "ROCm#11 0x000000000e960a9f in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=<optimized out>, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53", "ROCm#12 0x000000000e8ef599 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=0x7fffffffbc60, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184", "ROCm#13 0x000000000e8eb886 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=<optimized out>, device=..., extra_files=..., restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:287", "ROCm#14 0x000000000e8e9cc5 in torch::jit::import_ir_module (cu=..., in=..., device=..., extra_files=..., load_debug_files=<optimized out>, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386", "ROCm#15 0x000000000e8f37bf in torch::jit::import_ir_module (cu=..., in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:322", "ROCm#16 0x000000000e8f615a in torch::jit::load (in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:482", "ROCm#17 0x00000000005c2d61 in LLVMFuzzerTestOneInput (data=<optimized out>, size=5498) at /load.cc:42", "ROCm#18 0x00000000005c2a8e in ExecuteFilesOnyByOne (argc=2, argv=0x7fffffffc6b8, callback=callback@entry=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255", "ROCm#19 0x00000000005c2899 in LLVMFuzzerRunDriver (argcp=argcp@entry=0x7fffffffc5b4, argvp=argvp@entry=0x7fffffffc5b8, callback=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:364", "ROCm#20 0x00000000005c2459 in main (argc=2, argv=0x7fffffffc6b8) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300" ``` ### Crash in torch/csrc/jit/serialization/source_range_serialization.cpp:211 [crash-5598d386057152f606bfa69d85605499e8852625.zip](https://github.com/pytorch/pytorch/files/11552952/crash-5598d386057152f606bfa69d85605499e8852625.zip) ```asan "#0 torch::jit::ConcreteSourceRangeUnpickler::unpickle (this=0x99b8d80) at /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:211", "ROCm#1 0x0000000004042566 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated (this=0x99aa1c0, range=...) at /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:229", "ROCm#2 0x00000000007b5cc8 in torch::jit::Source::findSourceRangeThatGenerated (this=<optimized out>, range=...) at /pytorch/torch/csrc/jit/frontend/source_range.cpp:144", "ROCm#3 torch::jit::SourceRange::findSourceRangeThatGenerated (this=0x7fffffffa650) at /pytorch/torch/csrc/jit/frontend/source_range.h:384", "ROCm#4 torch::jit::SourceRange::highlight (this=0x7fffffffa650, out=...) at /pytorch/torch/csrc/jit/frontend/source_range.cpp:149", "ROCm#5 0x00000000007a0e74 in torch::jit::Lexer::expected (this=this@entry=0x99979a0, what=..., t=...) at /pytorch/torch/csrc/jit/frontend/lexer.h:461", "ROCm#6 0x000000000079fcaa in torch::jit::Lexer::lexRaw (this=this@entry=0x99979a0, whitespace_token=false) at /pytorch/torch/csrc/jit/frontend/lexer.h:552", "ROCm#7 0x000000000079fd23 in torch::jit::Lexer::lex (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/lexer.h:487", "ROCm#8 0x00000000007a1da1 in torch::jit::Lexer::next (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/lexer.h:436", "ROCm#9 0x0000000003bff6a8 in torch::jit::Lexer::nextIf (this=0x99979a0, kind=330) at /pytorch/torch/csrc/jit/frontend/lexer.h:444", "ROCm#10 torch::jit::ParserImpl::parseReturnAnnotation (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:703", "ROCm#11 0x0000000003bfd500 in torch::jit::ParserImpl::parseDecl (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:729", "ROCm#12 0x0000000003bfb725 in torch::jit::ParserImpl::parseFunction (this=this@entry=0x99979a0, is_method=true) at /pytorch/torch/csrc/jit/frontend/parser.cpp:755", "ROCm#13 0x0000000003bfdc28 in torch::jit::ParserImpl::parseStmt (this=this@entry=0x99979a0, in_class=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:599", "ROCm#14 0x0000000003bfd8dd in torch::jit::ParserImpl::parseStatements (this=this@entry=0x99979a0, expect_indent=<optimized out>, in_class=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:697", "ROCm#15 0x0000000003bfc4ba in torch::jit::ParserImpl::parseClass (this=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:747", "ROCm#16 0x0000000003bfaddc in torch::jit::Parser::parseClass (this=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:812", "ROCm#17 0x0000000004008e2d in torch::jit::SourceImporterImpl::parseSourceIfNeeded (this=this@entry=0x95d41f0, qualifier=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:182", "ROCm#18 0x0000000004008ab7 in torch::jit::SourceImporterImpl::findNamedType (this=this@entry=0x95d41f0, name=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:135", "ROCm#19 0x000000000400d010 in torch::jit::SourceImporterImpl::resolveType (this=0x95d41f0, name=..., loc=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:261", "ROCm#20 0x0000000003c20821 in torch::jit::ScriptTypeParser::parseTypeFromExpr (this=this@entry=0x7fffffffb658, expr=...) at /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238", "ROCm#21 0x0000000003c20acc in torch::jit::ScriptTypeParser::parseType (this=0x7fffffffb658, str=...) at /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312", "ROCm#22 0x0000000004019416 in torch::jit::SourceImporter::loadType (this=<optimized out>, name=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:786", "ROCm#23 0x0000000003ff365e in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const (this=<optimized out>, qn=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:146", "ROCm#24 std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) (__f=..., __args=...) at /usr/include/c++/10/bits/invoke.h:60", "ROCm#25 std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) (__fn=..., __args=...) at /usr/include/c++/10/bits/invoke.h:113", "ROCm#26 std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) (__functor=..., __args=...) at /usr/include/c++/10/bits/std_function.h:291", "ROCm#27 0x000000000404e5c4 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const (this=0x7fffffffbf28, __args=...) at /usr/include/c++/10/bits/std_function.h:622", "ROCm#28 torch::jit::Unpickler::readGlobal (this=this@entry=0x7fffffffbd50, module_name=..., class_name=...) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:820", "ROCm#29 0x0000000004049ce5 in torch::jit::Unpickler::readInstruction (this=this@entry=0x7fffffffbd50) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:496", "ROCm#30 0x00000000040497a8 in torch::jit::Unpickler::run (this=0x7fffffffbd50) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251", "ROCm#31 0x00000000040494f9 in torch::jit::Unpickler::parse_ivalue (this=0x99aa1c0) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204", "ROCm#32 0x00000000040075f8 in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=0x0, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53", "ROCm#33 0x0000000003ff3545 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=this@entry=0x7fffffffc2b8, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184", "ROCm#34 0x0000000003fed8bf in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=this@entry=0x7fffffffc2b8, device=device@entry=..., extra_files=..., restore_shapes=220) at /pytorch/torch/csrc/jit/serialization/import.cpp:287", "ROCm#35 0x0000000003febb0f in torch::jit::import_ir_module (cu=..., in=..., device=..., device@entry=..., extra_files=..., load_debug_files=true, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386", "ROCm#36 0x0000000003feb7a1 in torch::jit::import_ir_module (cu=..., in=..., device=..., device@entry=..., load_debug_files=false) at /pytorch/torch/csrc/jit/serialization/import.cpp:322", "ROCm#37 0x0000000003ff015a in torch::jit::load (in=..., device=device@entry=..., load_debug_files=true) at /pytorch/torch/csrc/jit/serialization/import.cpp:482", "ROCm#38 0x00000000004a1655 in LLVMFuzzerTestOneInput (data=0x981a680 \"PK\\003\\004\", size=1609) at /load.cc:42", "ROCm#39 0x00000000004a1dbf in main ()" ``` ### Segmentation fault in /pytorch/aten/src/ATen/core/ivalue.h:526 [crash-9bd059c1ae85ab9cdb41d786932214d942baa189.zip](https://github.com/pytorch/pytorch/files/11552956/crash-9bd059c1ae85ab9cdb41d786932214d942baa189.zip) ```asan "==8528==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000e55d97e bp 0x7fffffffb4d0 sp 0x7fffffffb360 T0)", "==8528==The signal is caused by a READ memory access.", "==8528==Hint: this fault was caused by a dereference of a high value address (see register values below). Disassemble the provided pc to learn which register was used.", " #0 0xe55d97e in c10::IValue::isTuple() const /pytorch/aten/src/ATen/core/ivalue.h:526:26", " ROCm#1 0xe55d97e in torch::distributed::rpc::GloballyUniqueId::fromIValue(c10::IValue const&) /pytorch/torch/csrc/distributed/rpc/types.cpp:60:3", " ROCm#2 0xe4b04fb in torch::distributed::rpc::ScriptRemoteCall::fromIValues(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/distributed/rpc/script_remote_call.cpp:33:20", " ROCm#3 0xe4b1ed5 in torch::distributed::rpc::ScriptRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/script_remote_call.cpp:80:10", " ROCm#4 0xe55f8a0 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:108:14", " ROCm#5 0x6120a8 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27", " ROCm#6 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15", " ROCm#7 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6", " ROCm#8 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9", " ROCm#9 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10", " ROCm#10 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)", " ROCm#11 0x51a60d in _start (/message_deserialize_fuzz+0x51a60d)", "", "AddressSanitizer can not provide additional info.", "SUMMARY: AddressSanitizer: SEGV /pytorch/aten/src/ATen/core/ivalue.h:526:26 in c10::IValue::isTuple() const", "==8528==ABORTING" ``` Pull Request resolved: pytorch#102156 Approved by: https://github.com/ezyang

…103969) Hi! We've been fuzzing torchvision project with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz). We've found a heap buffer overflow error at `source_range_serialization.cpp:73` in pytorch project. The error occurs because there is not check in `deserialize_source` that `text_table_` size can be less than `fnameIndex`. To prevent the error the corresponding check must be located. torchvision version: 9d0a93eee90bf7c401b74ebf9c8be80346254f15 pytorch version: 0f1621d OS: Ubuntu 20.04 How to reproduce 1. Build docker from [here](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/torchvision) and run the container: sudo docker build -t oss-sydr-fuzz-torchvision . sudo docker run --privileged --rm -v `pwd`:/fuzz -it oss-sydr-fuzz-torchvision /bin/bash 2. Run the target on this input: [serialization-crash.txt](https://github.com/pytorch/pytorch/files/11819901/serialization-crash.txt) /encode_png_fuzz serialization-crash.txt 3. You will see the following output: ================================================================= ==13==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x60200055a630 at pc 0x0000010197b7 bp 0x7ffd4cfb15f0 sp 0x7ffd4cfb15e8 READ of size 8 at 0x60200055a630 thread T0 #0 0x10197b6 in std::__shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2>::get() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1325:16 ROCm#1 0x10197b6 in std::__shared_ptr_access<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2, false, false>::_M_get() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1024:66 ROCm#2 0x10197b6 in std::__shared_ptr_access<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2, false, false>::operator*() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1011:10 ROCm#3 0xde888c2 in torch::jit::SourceRangeDeserializer::deserialize_source(c10::IValue const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:73:16 ROCm#4 0xde8802b in torch::jit::SourceRangeDeserializer::deserialize(c10::IValue const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:51:37 ROCm#5 0xde8e9c7 in torch::jit::ConcreteSourceRangeUnpickler::unpickle() /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:224:39 ROCm#6 0xde8fb19 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:231:3 ROCm#7 0x10798e7 in torch::jit::Source::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/frontend/source_range.cpp:144:23 ROCm#8 0x1079d9a in torch::jit::SourceRange::findSourceRangeThatGenerated() const /pytorch/torch/csrc/jit/frontend/source_range.h:384:26 ROCm#9 0x1079acd in torch::jit::SourceRange::highlight(std::ostream&) const /pytorch/torch/csrc/jit/frontend/source_range.cpp:149:32 ROCm#10 0x1026fe2 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Token const&) /pytorch/torch/csrc/jit/frontend/lexer.h:461:13 ROCm#11 0x10417d9 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/lexer.h:465:5 ROCm#12 0x102e52c in torch::jit::Lexer::expect(int) /pytorch/torch/csrc/jit/frontend/lexer.h:471:7 ROCm#13 0xcee774c in torch::jit::ParserImpl::parseIdent() /pytorch/torch/csrc/jit/frontend/parser.cpp:52:16 ROCm#14 0xcef4ea8 in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:195:22 ROCm#15 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16 ROCm#16 0xcefac6a in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12 ROCm#17 0xcefac6a in torch::jit::ParserImpl::parseSubscriptExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:403:15 ROCm#18 0xceff39f in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()::operator()() const /pytorch/torch/csrc/jit/frontend/parser.cpp:354:54 ROCm#19 0xceff39f in torch::jit::Expr std::__invoke_impl<void, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&>(std::__invoke_other, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 ROCm#20 0xceea935 in torch::jit::ParserImpl::parseSequence(int, int, int, std::function<void ()> const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:339:7 ROCm#21 0xceefd69 in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)()) /pytorch/torch/csrc/jit/frontend/parser.cpp:353:5 ROCm#22 0xcef895a in torch::jit::ParserImpl::parseSubscript(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:430:9 ROCm#23 0xcef5e5c in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:206:18 ROCm#24 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16 ROCm#25 0xceeeb9d in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12 ROCm#26 0xceeeb9d in torch::jit::ParserImpl::parseExpOrExpTuple() /pytorch/torch/csrc/jit/frontend/parser.cpp:94:19 ROCm#27 0xcee8a36 in torch::jit::ParserImpl::parseStmt(bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:612:20 ROCm#28 0xcee7e72 in torch::jit::ParserImpl::parseStatements(bool, bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:697:23 ROCm#29 0xcee56f5 in torch::jit::ParserImpl::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:747:9 ROCm#30 0xcee544a in torch::jit::Parser::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:812:17 ROCm#31 0xdddbea9 in torch::jit::SourceImporterImpl::parseSourceIfNeeded(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:182:42 ROCm#32 0xdddadbc in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:135:3 ROCm#33 0xdde1d88 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10 ROCm#34 0xcf2ba5f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24 ROCm#35 0xcf2bec7 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10 ROCm#36 0xddf4284 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27 ROCm#37 0xdd739f7 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33 ROCm#38 0xdd739f7 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 ROCm#39 0xdd73880 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9 ROCm#40 0xdd736d6 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9 ROCm#41 0xdd76349 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14 ROCm#42 0xdeb9f48 in torch::jit::Unpickler::readGlobal(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> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:835:9 ROCm#43 0xdeb012d in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:511:7 ROCm#44 0xdeae437 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27 ROCm#45 0xdeae0d2 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3 ROCm#46 0xddd6de3 in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20 ROCm#47 0xdd732dd in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10 ROCm#48 0xdd69885 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19 ROCm#49 0xdd6c855 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:438:25 ROCm#50 0xdd6c1c7 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:421:10 ROCm#51 0xdd6dce4 in torch::jit::load(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:503:10 ROCm#52 0xf2d3f75 in torch::serialize::InputArchive::load_from(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>) /pytorch/torch/csrc/api/src/serialize/input-archive.cpp:97:13 ROCm#53 0x60509c in void torch::load<at::Tensor, char*&>(at::Tensor&, char*&) /pytorch/torch/include/torch/csrc/api/include/torch/serialize.h:107:11 ROCm#54 0x6036be in LLVMFuzzerTestOneInput /vision/encode_png.cc:38:5 ROCm#55 0x66b041 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15 ROCm#56 0x6544cc in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6 ROCm#57 0x65a61b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9 ROCm#58 0x654222 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10 ROCm#59 0x7f3d12cc7082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee) ROCm#60 0x542cdd in _start (/encode_png_fuzz+0x542cdd) 0x60200055a630 is located 16 bytes to the right of 16-byte region [0x60200055a610,0x60200055a620) allocated by thread T0 here: #0 0x60057d in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3 ROCm#1 0xde9185d in std::_Vector_base<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20 ROCm#2 0xde9185d in void std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_realloc_insert<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >(__gnu_cxx::__normal_iterator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >*, std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > >, std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33 ROCm#3 0xde916a1 in std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >& std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::emplace_back<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >(std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:121:4 ROCm#4 0xde8f445 in torch::jit::SourceRangeDeserializer::SourceRangeDeserializer(c10::IValue) /pytorch/torch/csrc/jit/serialization/source_range_serialization.h:42:19 ROCm#5 0xde8e141 in torch::jit::ConcreteSourceRangeUnpickler::unpickle() /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:215:28 ROCm#6 0xde8fb19 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:231:3 ROCm#7 0x10798e7 in torch::jit::Source::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/frontend/source_range.cpp:144:23 ROCm#8 0x1079d9a in torch::jit::SourceRange::findSourceRangeThatGenerated() const /pytorch/torch/csrc/jit/frontend/source_range.h:384:26 ROCm#9 0x1079acd in torch::jit::SourceRange::highlight(std::ostream&) const /pytorch/torch/csrc/jit/frontend/source_range.cpp:149:32 ROCm#10 0x1026fe2 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Token const&) /pytorch/torch/csrc/jit/frontend/lexer.h:461:13 ROCm#11 0x10417d9 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/lexer.h:465:5 ROCm#12 0xcee774c in torch::jit::ParserImpl::parseIdent() /pytorch/torch/csrc/jit/frontend/parser.cpp:52:16 ROCm#13 0xcef4ea8 in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:195:22 ROCm#14 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16 ROCm#15 0xcefac6a in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12 ROCm#16 0xcefac6a in torch::jit::ParserImpl::parseSubscriptExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:403:15 ROCm#17 0xceff39f in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()::operator()() const /pytorch/torch/csrc/jit/frontend/parser.cpp:354:54 ROCm#18 0xceff39f in torch::jit::Expr std::__invoke_impl<void, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&>(std::__invoke_other, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 ROCm#19 0xceea935 in torch::jit::ParserImpl::parseSequence(int, int, int, std::function<void ()> const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:339:7 ROCm#20 0xceefd69 in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)()) /pytorch/torch/csrc/jit/frontend/parser.cpp:353:5 ROCm#21 0xcef895a in torch::jit::ParserImpl::parseSubscript(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:430:9 ROCm#22 0xcef5e5c in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:206:18 ROCm#23 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16 ROCm#24 0xceeeb9d in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12 ROCm#25 0xceeeb9d in torch::jit::ParserImpl::parseExpOrExpTuple() /pytorch/torch/csrc/jit/frontend/parser.cpp:94:19 ROCm#26 0xcee8a36 in torch::jit::ParserImpl::parseStmt(bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:612:20 ROCm#27 0xcee7e72 in torch::jit::ParserImpl::parseStatements(bool, bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:697:23 ROCm#28 0xcee56f5 in torch::jit::ParserImpl::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:747:9 ROCm#29 0xcee544a in torch::jit::Parser::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:812:17 ROCm#30 0xdddbea9 in torch::jit::SourceImporterImpl::parseSourceIfNeeded(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:182:42 ROCm#31 0xdddadbc in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:135:3 ROCm#32 0xdde1d88 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10 ROCm#33 0xcf2ba5f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24 SUMMARY: AddressSanitizer: heap-buffer-overflow /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1325:16 in std::__shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2>::get() const Shadow bytes around the buggy address: 0x0c04800a3470: fa fa 00 00 fa fa 00 00 fa fa fd fa fa fa 00 00 0x0c04800a3480: fa fa fd fa fa fa fd fd fa fa fd fd fa fa fd fa 0x0c04800a3490: fa fa fd fd fa fa 00 00 fa fa 00 00 fa fa 00 00 0x0c04800a34a0: fa fa fd fa fa fa fd fd fa fa fd fa fa fa 00 fa 0x0c04800a34b0: fa fa fd fd fa fa fd fd fa fa fd fa fa fa fd fd =>0x0c04800a34c0: fa fa 00 00 fa fa[fa]fa fa fa fa fa fa fa fa fa 0x0c04800a34d0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x0c04800a34e0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x0c04800a34f0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x0c04800a3500: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x0c04800a3510: 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 ==13==ABORTING Pull Request resolved: pytorch#103969 Approved by: https://github.com/davidberard98

Fixes ASAN stack-use-after-scope in MKLDNN. The stack trace is ``` 2023-06-27T16:37:20.9099950Z ==1424==ERROR: AddressSanitizer: stack-use-after-scope on address 0x7f0c5dc20980 at pc 0x7f0c61286a73 bp 0x7ffef8e76990 sp 0x7ffef8e76118 2023-06-27T16:37:20.9100054Z READ of size 24 at 0x7f0c5dc20980 thread T0 2023-06-27T16:37:20.9100327Z #0 0x7f0c61286a72 in memcmp (/usr/lib/llvm-7/lib/clang/7.0.1/lib/linux/libclang_rt.asan-x86_64.so+0x5da72) 2023-06-27T16:37:20.9100701Z ROCm#1 0x7f0c2f395d0b in c10::ArrayRef<long>::equals(c10::ArrayRef<long>) const (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb8bd0b) 2023-06-27T16:37:20.9101196Z ROCm#2 0x7f0c314a1bb1 in at::native::mkldnn_matmul(at::Tensor const&, at::Tensor const&, at::Tensor const&, float, float) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xec97bb1) 2023-06-27T16:37:20.9101714Z ROCm#3 0x7f0c301f49c5 in at::native::bmm_out_or_baddbmm_(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::Scalar const&, c10::Scalar const&, bool) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9ea9c5) 2023-06-27T16:37:20.9102153Z ROCm#4 0x7f0c301f85ab in at::native::structured_bmm_out_cpu::impl(at::Tensor const&, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9ee5ab) 2023-06-27T16:37:20.9102601Z ROCm#5 0x7f0c32cb3cb6 in at::(anonymous namespace)::wrapper_CPU_bmm(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x104a9cb6) 2023-06-27T16:37:20.9103662Z ROCm#6 0x7f0c32ea1f43 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&), &(at::(anonymous namespace)::wrapper_CPU_bmm(at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x10697f43) 2023-06-27T16:37:20.9104330Z ROCm#7 0x7f0c3187252a in at::Tensor c10::Dispatcher::redispatch<at::Tensor, at::Tensor const&, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&, at::Tensor const&)> const&, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) const (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xf06852a) 2023-06-27T16:37:20.9104756Z ROCm#8 0x7f0c3257e097 in at::_ops::bmm::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xfd74097) 2023-06-27T16:37:20.9105237Z ROCm#9 0x7f0c383c31c3 in torch::autograd::VariableType::(anonymous namespace)::bmm(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x15bb91c3) 2023-06-27T16:37:20.9106496Z ROCm#10 0x7f0c383c25b9 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&), &(torch::autograd::VariableType::(anonymous namespace)::bmm(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, at::Tensor const&> >, at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x15bb85b9) 2023-06-27T16:37:20.9106874Z ROCm#11 0x7f0c3257da60 in at::_ops::bmm::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xfd73a60) 2023-06-27T16:37:20.9107275Z ROCm#12 0x7f0c301fc0e2 in at::native::_matmul_impl(at::Tensor&, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9f20e2) 2023-06-27T16:37:20.9107647Z ROCm#13 0x7f0c301f9c21 in at::native::matmul(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9efc21) 2023-06-27T16:37:20.9108853Z ROCm#14 0x7f0c33dca7e3 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&), &(at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__matmul(at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x115c07e3) 2023-06-27T16:37:20.9109255Z ROCm#15 0x7f0c32958ef0 in at::_ops::matmul::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1014eef0) 2023-06-27T16:37:20.9110023Z ROCm#16 0x7f0c2f596b62 in at::autocast::WrapFunction_<(at::autocast::CastPolicy)0, (c10::DeviceType)0, at::Tensor (at::Tensor const&, at::Tensor const&), &(at::_ops::matmul::call(at::Tensor const&, at::Tensor const&)), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcd8cb62) 2023-06-27T16:37:20.9110723Z ROCm#17 0x7f0c2f348403 in c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<at::Tensor (*)(at::Tensor const&, at::Tensor const&), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >::operator()(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb3e403) 2023-06-27T16:37:20.9111596Z ROCm#18 0x7f0c2f348063 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<at::Tensor (*)(at::Tensor const&, at::Tensor const&), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb3e063) 2023-06-27T16:37:20.9111976Z ROCm#19 0x7f0c32958ef0 in at::_ops::matmul::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1014eef0) 2023-06-27T16:37:20.9112383Z ROCm#20 0x7f0c5803dc3e in torch::autograd::THPVariable_matmul(_object*, _object*, _object*) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_python.so+0x2b2cc3e) 2023-06-27T16:37:20.9112561Z warning: parsing line table prologue at 0x00000000 should have ended at 0x0000050b but it ended at 0x0000050a 2023-06-27T16:37:20.9112713Z ROCm#21 0x5074a6 in cfunction_call (/opt/conda/envs/py_3.9/bin/python3.9+0x5074a6) 2023-06-27T16:37:20.9112857Z ROCm#22 0x505997 in _PyObject_Call (/opt/conda/envs/py_3.9/bin/python3.9+0x505997) 2023-06-27T16:37:20.9113114Z ROCm#23 0x505997 in PyObject_Call /croot/python-split_1684193875530/work/build-static/<invalid>:293:12 2023-06-27T16:37:20.9113258Z ROCm#24 0x4ed302 in do_call_core (/opt/conda/envs/py_3.9/bin/python3.9+0x4ed302) 2023-06-27T16:37:20.9113633Z ROCm#25 0x4ed302 in _PyEval_EvalFrameDefault /croot/python-split_1684193875530/work/build-static/<invalid>:3582:22 2023-06-27T16:37:20.9113780Z ROCm#26 0x4e6729 in _PyEval_EvalFrame (/opt/conda/envs/py_3.9/bin/python3.9+0x4e6729) 2023-06-27T16:37:20.9114041Z ROCm#27 0x4e6729 in _PyEval_EvalCode /croot/python-split_1684193875530/work/build-static/<invalid>:4329:14 2023-06-27T16:37:20.9114202Z ROCm#28 0x4efd7d in _PyFunction_Vectorcall (/opt/conda/envs/py_3.9/bin/python3.9+0x4efd7d) ``` Pull Request resolved: pytorch#104331 Approved by: https://github.com/soulitzer

Hi! we've been fuzzing PyTorch project with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch). We've found a couple heap-buffer-overflows in `distributed/rpc` module. PyTorch version: pytorch@0f1621d OS: Ubuntu 20.04 ### How to reproduce 1. Build docker from this [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch) and run the container. 2. Then run `message_deserialize-afl++` fuzzing target on provided crash-inputs ([crash-056826339f6da8dbb97c944178e94494369a9e22.zip](https://github.com/pytorch/pytorch/files/12096151/crash-056826339f6da8dbb97c944178e94494369a9e22.zip), [crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip](https://github.com/pytorch/pytorch/files/12096160/crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip)): ``` unzip crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip /message_deserialize-afl++ crash-4f85db9f19fe152c0018f6675c3b4c122227058f ``` ### Heap buffer overflow in torch/csrc/jit/serialization/pickle.cpp:144 [crash-056826339f6da8dbb97c944178e94494369a9e22.zip](https://github.com/pytorch/pytorch/files/12096151/crash-056826339f6da8dbb97c944178e94494369a9e22.zip) ```asan "==7614==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x60b001b58355 at pc 0x0000005d1147 bp 0x7fffffffa610 sp 0x7fffffff9de0", "READ of size 256 at 0x60b001b58355 thread T0", " #0 0x5d1146 in __asan_memcpy /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_interceptors_memintrinsics.cpp:22:3", " ROCm#1 0xd1cd19f in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3::operator()(char*, unsigned long) const /pytorch/torch/csrc/jit/serialization/pickle.cpp:144:9", " ROCm#2 0xd1cd19f in unsigned long std::__invoke_impl<unsigned long, torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3&, char*, unsigned long>(std::__invoke_other, torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3&, char*&&, unsigned long&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14", " ROCm#3 0xd27aa48 in std::function<unsigned long (char*, unsigned long)>::operator()(char*, unsigned long) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14", " ROCm#4 0xd27a61c in torch::jit::Unpickler::readSlowWithBuffer(char*, unsigned long) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:1047:23", " ROCm#5 0xd2698b8 in unsigned char torch::jit::Unpickler::read<unsigned char>() /pytorch/torch/csrc/jit/serialization/unpickler.h:111:7", " ROCm#6 0xd268816 in torch::jit::Unpickler::readOpCode() /pytorch/torch/csrc/jit/serialization/unpickler.h:130:38", " ROCm#7 0xd268816 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:238:17", " ROCm#8 0xd268522 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3", " ROCm#9 0xd1c8502 in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20", " ROCm#10 0xd1c8dbd in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10", " ROCm#11 0xe56b16d in torch::distributed::rpc::readWrappedPayload(std::vector<char, std::allocator<char> >&, torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:515:18", " ROCm#12 0xe3d8f29 in torch::distributed::autograd::RpcWithProfilingReq::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.cpp:112:24", " ROCm#13 0xe55f692 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:138:14", " ROCm#14 0x6120a8 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27", " ROCm#15 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15", " ROCm#16 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6", " ROCm#17 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9", " ROCm#18 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10", " ROCm#19 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)", " ROCm#20 0x51a60d in _start (/message_deserialize_fuzz+0x51a60d)", "", "0x60b001b58355 is located 0 bytes to the right of 101-byte region [0x60b001b582f0,0x60b001b58355)", "allocated by thread T0 here:", " #0 0x60c7bd in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3", " ROCm#1 0x62c7fd in std::_Vector_base<char, std::allocator<char> >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20", " ROCm#2 0x62c7fd in void std::vector<char, std::allocator<char> >::_M_range_initialize<unsigned char const*>(unsigned char const*, unsigned char const*, std::forward_iterator_tag) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1582:14", " ROCm#3 0x612913 in std::vector<char, std::allocator<char> >::vector<unsigned char const*, void>(unsigned char const*, unsigned char const*, std::allocator<char> const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:657:4", " ROCm#4 0x611c4a in LLVMFuzzerTestOneInput /message_deserialize.cc:181:21", " ROCm#5 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15", " ROCm#6 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6", " ROCm#7 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9", " ROCm#8 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10", " ROCm#9 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)", "", "SUMMARY: AddressSanitizer: heap-buffer-overflow /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_interceptors_memintrinsics.cpp:22:3 in __asan_memcpy", "Shadow bytes around the buggy address:", " 0x0c1680363010: 00 00 00 fa fa fa fa fa fa fa fa fa 00 00 00 00", " 0x0c1680363020: 00 00 00 00 00 00 00 00 00 00 fa fa fa fa fa fa", " 0x0c1680363030: fa fa 00 00 00 00 00 00 00 00 00 00 00 00 00 fa", " 0x0c1680363040: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00", " 0x0c1680363050: 00 00 00 00 00 fa fa fa fa fa fa fa fa fa 00 00", "=>0x0c1680363060: 00 00 00 00 00 00 00 00 00 00[05]fa fa fa fa fa", " 0x0c1680363070: fa fa fa fa 00 00 00 00 00 00 00 00 00 00 00 00", " 0x0c1680363080: 05 fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c1680363090: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c16803630a0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c16803630b0: 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", "==7614==ABORTING" ``` ### Heap-buffer-overflow in aten/src/ATen/core/ivalue.h:432 [crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip](https://github.com/pytorch/pytorch/files/11553011/crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip) ```asan "==60983==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x6150001e4108 at pc 0x000000601877 bp 0x7fffffff9fd0 sp 0x7fffffff9fc8", "READ of size 4 at 0x6150001e4108 thread T0", " #0 0x601876 in c10::IValue::isTensor() const /pytorch/aten/src/ATen/core/ivalue.h:432:27", " ROCm#1 0x601876 in c10::IValue::destroy() /pytorch/aten/src/ATen/core/ivalue.h:1148:9", " ROCm#2 0x699f72 in c10::IValue::~IValue() /pytorch/aten/src/ATen/core/ivalue.h:236:5", " ROCm#3 0x699f72 in void std::_Destroy<c10::IValue>(c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:140:19", " ROCm#4 0x699f72 in void std::_Destroy_aux<false>::__destroy<c10::IValue*>(c10::IValue*, c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:152:6", " ROCm#5 0x699f72 in void std::_Destroy<c10::IValue*>(c10::IValue*, c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:184:7", " ROCm#6 0x699f72 in void std::_Destroy<c10::IValue*, c10::IValue>(c10::IValue*, c10::IValue*, std::allocator<c10::IValue>&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/alloc_traits.h:738:7", " ROCm#7 0x699f72 in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_erase_at_end(c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1796:6", " ROCm#8 0x699e4a in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_erase(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, __gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:191:4", " ROCm#9 0xea5b11e in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:454:14", " ROCm#10 0xea57d97 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27", " ROCm#11 0xea579f1 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3", " ROCm#12 0xe9a435e in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20", " ROCm#13 0xe9a471c in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10", " ROCm#14 0xfcd034b in torch::distributed::autograd::PropagateGradientsReq::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.cpp:54:18", " ROCm#15 0xfe720ff in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:132:14", " ROCm#16 0x5c5c93 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27", " ROCm#17 0x5c2bfd in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7", " ROCm#18 0x5c2a08 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c", " ROCm#19 0x5c25c8 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10", " ROCm#20 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)", " ROCm#21 0x50237d in _start (/message_deserialize_afl+0x50237d)", "", "0x6150001e4108 is located 8 bytes to the right of 512-byte region [0x6150001e3f00,0x6150001e4100)", "allocated by thread T0 here:", " #0 0x5bfbfa in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3", "", "SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:432:27 in c10::IValue::isTensor() const", "Shadow bytes around the buggy address:", " 0x0c2a800347d0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a800347e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00", " 0x0c2a800347f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00", " 0x0c2a80034800: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00", " 0x0c2a80034810: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00", "=>0x0c2a80034820: fa[fa]fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a80034830: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a80034840: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a80034850: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a80034860: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa", " 0x0c2a80034870: 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", "==60983==ABORTING" ``` Pull Request resolved: pytorch#105537 Approved by: https://github.com/albanD

### Description Hi! We've been fuzzing `pytorch` with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz) and found error of out of bounds access in `torch::jit` module. pytorch version: 18bcf62 The error occurs in `import_source.cpp:560` when we get the type from the `assign.rhs()`. `assign.rhs()` has `Maybe` type, as well as `assign.type()`, so one of them can be not presented. According to [grammar](https://github.com/pytorch/pytorch/blob/22f93852a2664b3dc29544ac6a36f1ec52c6caa2/torch/csrc/jit/frontend/tree_views.h), we can have `Assign` statement, which `lhs` will be `Subscript`, `rhs` will be empty (`Maybe` type with no subtrees) and `type` will be presented. But in `import_source.cpp:560` we try to get `rhs` expression from the assignment with no check whether it is presented. This is example from the how to reproduce section from the testing input: ``` class Module(Module): __parameters__ = ["0", ] __buffers__ = [] __annotations__ = [] __annotations__["0"] : Tensor ``` When we parse the last statement of class definition, we set the type of `lhs` to `Subscript`, because the lookahead is `[` https://github.com/pytorch/pytorch/blob/76fb72e24a5a4a47ad1f50c5c94d5c0b7e703531/torch/csrc/jit/frontend/parser.cpp#L205-L207 Then in `parseAssignment` we get `maybeOp` and `type` depending on the next symbol (if it is `:`, we get only the type) https://github.com/pytorch/pytorch/blob/76fb72e24a5a4a47ad1f50c5c94d5c0b7e703531/torch/csrc/jit/frontend/parser.cpp#L437-L447 So after that, in `import_source.cpp:560`, parsing attributes, one of which is assignment with subscript type of `lhs`, we try to get type from `rhs` expression and out of bounds access occurs. To fix the error, we need to check whether the `rhs` or `type` are presented and get the type from corresponding expression. ### How to reproduce Build docker container from [here](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch): ```bash $ sudo docker build -t oss-sydr-fuzz-pytorch ``` Run docker container: ```bash $ sudo docker run --rm --privileged -v `pwd`:/fuzz -it oss-sydr-fuzz-pytorch /bin/bash ``` Run the `load_fuzz` target on the [input.txt](https://github.com/pytorch/pytorch/files/12173962/input.txt) ```bash /load_fuzz input.txt ``` You will see the following output: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==157==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000c163764 bp 0x7ffee71d0070 sp 0x7ffee71d0050 T0) ==157==The signal is caused by a READ memory access. ==157==Hint: this fault was caused by a dereference of a high value address (see register values below). Disassemble the provided pc to learn which register was used. #0 0xc163764 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() /pytorch/c10/util/intrusive_ptr.h:265:54 #1 0xc1697fd in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::intrusive_ptr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/c10/util/intrusive_ptr.h:354:5 #2 0xc1697fd in torch::jit::Expr::Expr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/tree_views.h:270:49 #3 0xc1f02cb in torch::jit::Maybe<torch::jit::Expr>::get() const /pytorch/torch/csrc/jit/frontend/tree_views.h:212:12 #4 0xd194369 in torch::jit::SourceImporterImpl::importClass(c10::QualifiedName const&, torch::jit::ClassDef const&, bool) /pytorch/torch/csrc/jit/serialization/import_source.cpp:560:70 #5 0xd18c701 in torch::jit::SourceImporterImpl::importNamedType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::ClassDef const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:288:5 #6 0xd18a84c in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:140:5 #7 0xd1913a8 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10 #8 0xc2e422f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24 #9 0xc2e4697 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10 #10 0xd1a37d4 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27 #11 0xd121c47 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33 #12 0xd121c47 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 #13 0xd121ad0 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9 #14 0xd121926 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9 #15 0xd17ec49 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14 #16 0xd26b802 in torch::jit::Unpickler::readGlobal(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> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:844:9 #17 0xd2615fb in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:520:7 #18 0xd25f917 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27 #19 0xd25f5b2 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3 #20 0xd186403 in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20 #21 0xd12152d in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10 #22 0xd117bae in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19 #23 0xd114074 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25 #24 0xd113a27 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10 #25 0xd11bb64 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10 #26 0x610c5c in LLVMFuzzerTestOneInput /load.cc:42:14 #27 0x537701 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15 #28 0x52160c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6 #29 0x52735b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9 #30 0x550912 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10 #31 0x7f06e8323082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee) #32 0x51bf2d in _start (/load_fuzz+0x51bf2d) AddressSanitizer can not provide additional info. SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/intrusive_ptr.h:265:54 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() ==157==ABORTING ``` Pull Request resolved: pytorch#106041 Approved by: https://github.com/davidberard98

…h#108417) Hi! I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a SEGV that occurs during class deserialization in jit module. Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch). ### PoC: [crash-bfbab61bf86755aa712bb978e26057ae76d75fe4.txt](https://github.com/pytorch/pytorch/files/12499228/crash-bfbab61bf86755aa712bb978e26057ae76d75fe4.txt) ### ASAN report ``` ==1003115==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000db61680 bp 0x7fffffff5e30 sp 0x7fffffff5a60 T0) ==1003115==The signal is caused by a READ memory access. ==1003115==Hint: this fault was caused by a dereference of a high value address (see register values below). Disassemble the provided pc to learn which register was used. #0 0xdb61680 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() /pytorch/c10/util/intrusive_ptr.h:265:54 ROCm#1 0xdb6721c in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::intrusive_ptr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/c10/util/intrusive_ptr.h:354:5 ROCm#2 0xdb6721c in torch::jit::Expr::Expr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/tree_views.h:270:49 ROCm#3 0xdbf73b9 in torch::jit::Maybe<torch::jit::Expr>::get() const /pytorch/torch/csrc/jit/frontend/tree_views.h:212:12 ROCm#4 0xecac171 in torch::jit::SourceImporterImpl::importClass(c10::QualifiedName const&, torch::jit::ClassDef const&, bool) /pytorch/torch/csrc/jit/serialization/import_source.cpp:454:64 ROCm#5 0xeca0ada in torch::jit::SourceImporterImpl::importNamedType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::ClassDef const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:288:5 ROCm#6 0xeca7422 in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:140:5 ROCm#7 0xeca295c in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10 ROCm#8 0xdd03bc8 in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24 ROCm#9 0xdcfc9b6 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10 ROCm#10 0xecbac43 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27 ROCm#11 0xec2b5d3 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33 ROCm#12 0xec2b5d3 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 ROCm#13 0xec2b4a0 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9 ROCm#14 0xec2b3a0 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9 ROCm#15 0xec95f7c in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14 ROCm#16 0xed78721 in torch::jit::Unpickler::readGlobal(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> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:844:9 ROCm#17 0xed87821 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:520:7 ROCm#18 0xed85b27 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27 ROCm#19 0xed85781 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3 ROCm#20 0xec9c7be in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20 ROCm#21 0xec2b168 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10 ROCm#22 0xec27235 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19 ROCm#23 0xec25644 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25 ROCm#24 0xec2dcbe in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10 ROCm#25 0xec30659 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10 ROCm#26 0x8d8636 in LLVMFuzzerTestOneInput /load.cc:42:14 ROCm#27 0x8d835d in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7 ROCm#28 0x8d8168 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c ROCm#29 0x8d7d28 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10 ROCm#30 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee) ROCm#31 0x817add in _start (/load_afl+0x817add) AddressSanitizer can not provide additional info. SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/intrusive_ptr.h:265:54 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() ==1003115==ABORTING ``` Pull Request resolved: pytorch#108417 Approved by: https://github.com/ezyang

…zation (pytorch#108418) Hi! I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a SEGV that occurs during data parsing for quantized conv deserialization. The crash occurs because of empty `optional` vector. Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch). ### PoC: [crash-aaa72b1c1431ac556118e34099ba163052dc0f96.txt](https://github.com/pytorch/pytorch/files/12499249/crash-aaa72b1c1431ac556118e34099ba163052dc0f96.txt) ### ASAN report ``` ==1003193==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000000 (pc 0x000000cbd1b1 bp 0x7fffffff8490 sp 0x7fffffff7a30 T0) ==1003193==The signal is caused by a READ memory access. ==1003193==Hint: address points to the zero page. #0 0xcbd1b1 in c10::optional_base<at::Tensor>::optional_base(c10::optional_base<at::Tensor> const&) /pytorch/c10/util/Optional.h:222:17 #1 0x2b32336 in c10::optional<at::Tensor>::optional(c10::optional<at::Tensor> const&) /pytorch/c10/util/Optional.h:631:3 #2 0x2b32336 in std::tuple<long, std::vector<long, std::allocator<long> >, std::vector<c10::optional<at::Tensor>, std::allocator<c10::optional<at::Tensor> > > > parse_conv_serialized_state<2u>(c10::IValue) /pytorch/aten/src/ATen/native/quantized/cpu/conv_serialization.h:183:17 #3 0x2b30276 in int register_conv_params<2>()::'lambda'(c10::IValue)::operator()(c10::IValue) const /pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp:410:49 #4 0x2b30014 in std::enable_if<!(std::is_member_pointer<std::decay<int register_conv_params<2>()::'lambda'(c10::IValue) const&>::type>::value), std::invoke_result<int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue>::type>::type c10::guts::invoke<int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue>(int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue&&) /pytorch/c10/util/C++17.h:203:10 #5 0x2b2f7e7 in torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)::operator()(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&) const /pytorch/torch/custom_class.h:328:11 #6 0x2b2f570 in c10::guts::infer_function_traits<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)>::type::return_type torch::detail::call_torchbind_method_from_stack<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&), false, 0ul, 1ul>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&, std::integer_sequence<unsigned long, 0ul, 1ul>) /pytorch/torch/custom_class_detail.h:139:10 #7 0x2b2f408 in c10::guts::infer_function_traits<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)>::type::return_type torch::detail::call_torchbind_method_from_stack<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&), false>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/custom_class_detail.h:153:10 #8 0x2b2f408 in torch::detail::BoxedProxy<void, torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&, torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)&) /pytorch/torch/custom_class_detail.h:174:5 #9 0x2b2f38d in torch::jit::Function* torch::class_<ConvPackedParamsBase<2> >::defineMethod<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::initializer_list<torch::arg>)::'lambda'(std::vector<c10::IValue, std::allocator<c10::IValue> >&)::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/custom_class.h:407:7 #10 0x2b2f38d in int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&) std::__invoke_impl<void, torch::jit::Function* torch::class_<ConvPackedParamsBase<2> >::defineMethod<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::initializer_list<torch::arg>)::'lambda'(std::vector<c10::IValue, std::allocator<c10::IValue> >&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&>(std::__invoke_other, int register_conv_params<2>()::'lambda'(c10::IValue)&&, std::vector<c10::IValue, std::allocator<c10::IValue> >&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 #11 0x125654e in torch::jit::Function::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, c10::IValue> > > const&) /pytorch/aten/src/ATen/core/function.h:62:5 #12 0xec2c1c6 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1::operator()(c10::StrongTypePtr const&, c10::IValue) const /pytorch/torch/csrc/jit/serialization/import.cpp:172:7 #13 0xec2c1c6 in c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > std::__invoke_impl<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 #14 0xec2b9a0 in std::enable_if<is_invocable_r_v<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>, c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > >::type std::__invoke_r<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9 #15 0xec2b8ae in std::_Function_handler<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1>::_M_invoke(std::_Any_data const&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9 #16 0xeda0c63 in std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)>::operator()(c10::StrongTypePtr, c10::IValue) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14 #17 0xed8062d in torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_9::operator()() const /pytorch/torch/csrc/jit/serialization/unpickler.cpp:863:20 #18 0xed8062d in void std::__invoke_impl<void, torch::jit::Unpickler::readGlobal(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> > const&)::$_9&>(std::__invoke_other, torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_9&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14 #19 0xed877c6 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:545:7 #20 0xed85b27 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27 #21 0xed85781 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3 #22 0xec9c7be in torch::jit::readArchiveAndTensors(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> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20 #23 0xec2b168 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10 #24 0xec27235 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19 #25 0xec25644 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<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> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25 #26 0xec2dcbe in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10 #27 0xec30659 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10 #28 0x8d8636 in LLVMFuzzerTestOneInput /load.cc:42:14 #29 0x8d835d in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7 #30 0x8d8168 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c #31 0x8d7d28 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10 #32 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee) #33 0x817add in _start (/load_afl+0x817add) AddressSanitizer can not provide additional info. SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/Optional.h:222:17 in c10::optional_base<at::Tensor>::optional_base(c10::optional_base<at::Tensor> const&) ==1003193==ABORTING ``` Pull Request resolved: pytorch#108418 Approved by: https://github.com/Skylion007

… to hang (pytorch#115124) Let's see if it helps pytorch#114913 The issues on llvm are at llvm/llvm-project#55530 and llvm/llvm-project#69369. In my CI test, I saw the following process hanged: ``` /pytorch/pytorch/.lintbin/clang-tidy -p=/pytorch/pytorch/build --extra-arg -I/usr/lib/llvm-11/include/openmp --extra-arg -I/opt/conda/envs/py_3.9/include/python3.9 --extra-arg -I/pytorch/pytorch/third_party/pybind11/include --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/c++/11 --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/x86_64-linux-gnu/c++/11 --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/c++/11/backward --extra-arg -I/usr/lib/llvm-14/lib/clang/14.0.0/include --extra-arg -I/usr/local/include --extra-arg -I/usr/include/x86_64-linux-gnu --extra-arg -I/usr/include /pytorch/pytorch/torch/csrc/autograd/python_nested_functions_manual.cpp ``` and the core dump matches the description found in llvm/llvm-project#69369 showing the stuck in `clang::tidy::bugprone::UncheckedOptionalAccessCheck::check`: ``` #0 0x00000000030c7420 in clang::dataflow::WatchedLiteralsSolverImpl::updateWatchedLiterals() () #1 0x00000000030c6c2a in clang::dataflow::WatchedLiteralsSolverImpl::solve() && () #2 0x00000000030c6572 in clang::dataflow::WatchedLiteralsSolver::solve(llvm::DenseSet<clang::dataflow::BoolValue*, llvm::DenseMapInfo<clang::dataflow::BoolValue*, void> >) () #3 0x00000000030b3bd3 in clang::dataflow::DataflowAnalysisContext::querySolver(llvm::DenseSet<clang::dataflow::BoolValue*, llvm::DenseMapInfo<clang::dataflow::BoolValue*, void> >) () #4 0x00000000030b3ca5 in clang::dataflow::DataflowAnalysisContext::flowConditionImplies(clang::dataflow::AtomicBoolValue&, clang::dataflow::BoolValue&) () #5 0x00000000030b1213 in clang::dataflow::(anonymous namespace)::diagnoseUnwrapCall(clang::Expr const*, clang::Expr const*, clang::dataflow::Environment const&) () #6 0x00000000030b1357 in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::CallExpr const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&), clang::dataflow::(anonymous namespace)::buildDiagnoseMatchSwitch(clang::dataflow::UncheckedOptionalAccessModelOptions const&)::$_7>::_M_invoke(std::_Any_data const&, clang::CallExpr const*&&, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&) () #7 0x00000000030b1292 in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::Stmt const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&), clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::CaseOf<clang::CallExpr>(clang::ast_matchers::internal::Matcher<clang::Stmt>, std::function<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::CallExpr const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&)>) &&::{lambda(clang::Stmt const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&)#1}>::_M_invoke(std::_Any_data const&, clang::Stmt const*&&, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&) () #8 0x00000000030b1995 in clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::Build() &&::{lambda(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&)#1}::operator()(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&) const () #9 0x00000000030b170c in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&), clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::Build() &&::{lambda(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&)#1}>::_M_invoke(std::_Any_data const&, clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&) () #10 0x00000000030a7c27 in clang::dataflow::UncheckedOptionalAccessDiagnoser::diagnose(clang::ASTContext&, clang::Stmt const*, clang::dataflow::Environment const&) () #11 0x0000000002931286 in std::_Function_handler<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::NoopLattice> const&), clang::tidy::bugprone::analyzeFunction(clang::FunctionDecl const&, clang::ASTContext&)::$_0>::_M_invoke(std::_Any_data const&, clang::Stmt const*&&, clang::dataflow::DataflowAnalysisState<clang::dataflow::NoopLattice> const&) () #12 0x0000000002930b41 in clang::dataflow::runDataflowAnalysis<clang::dataflow::UncheckedOptionalAccessModel>(clang::dataflow::ControlFlowContext const&, clang::dataflow::UncheckedOptionalAccessModel&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> const&)>)::{lambda(clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)#1}::operator()(clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&) const () #13 0x00000000030c18cc in std::_Function_handler<void (clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&), clang::dataflow::runTypeErasedDataflowAnalysis(clang::dataflow::ControlFlowContext const&, clang::dataflow::TypeErasedDataflowAnalysis&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)>)::$_1>::_M_invoke(std::_Any_data const&, clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&) () #14 0x00000000030bf069 in clang::dataflow::transferBlock(clang::dataflow::ControlFlowContext const&, std::vector<llvm::Optional<clang::dataflow::TypeErasedDataflowAnalysisState>, std::allocator<llvm::Optional<clang::dataflow::TypeErasedDataflowAnalysisState> > >&, clang::CFGBlock const&, clang::dataflow::Environment const&, clang::dataflow::TypeErasedDataflowAnalysis&, std::function<void (clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&)>) () #15 0x00000000030bfaa5 in clang::dataflow::runTypeErasedDataflowAnalysis(clang::dataflow::ControlFlowContext const&, clang::dataflow::TypeErasedDataflowAnalysis&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)>) () #16 0x00000000029301b3 in llvm::Expected<std::vector<llvm::Optional<clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> >, std::allocator<llvm::Optional<clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> > > > > clang::dataflow::runDataflowAnalysis<clang::dataflow::UncheckedOptionalAccessModel>(clang::dataflow::ControlFlowContext const&, clang::dataflow::UncheckedOptionalAccessModel&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> const&)>) () #17 0x000000000292fbe8 in clang::tidy::bugprone::UncheckedOptionalAccessCheck::check(clang::ast_matchers::MatchFinder::MatchResult const&) () #18 0x00000000022e1572 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::MatchVisitor::visitMatch(clang::ast_matchers::BoundNodes const&) () #19 0x0000000002797a1c in clang::ast_matchers::internal::BoundNodesTreeBuilder::visitMatches(clang::ast_matchers::internal::BoundNodesTreeBuilder::Visitor*) () #20 0x00000000022e0dc6 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::matchWithFilter(clang::DynTypedNode const&) () #21 0x00000000022e3b57 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #22 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) () #23 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #24 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) () #25 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #26 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) () #27 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #28 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) () #29 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #30 0x00000000022e8791 in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) () #31 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) () #32 0x00000000022c017a in clang::ast_matchers::MatchFinder::matchAST(clang::ASTContext&) () #33 0x000000000370ad3c in clang::MultiplexConsumer::HandleTranslationUnit(clang::ASTContext&) () #34 0x00000000038ed4bb in clang::ParseAST(clang::Sema&, bool, bool) () #35 0x000000000369eda7 in clang::FrontendAction::Execute() () #36 0x000000000360d3f6 in clang::CompilerInstance::ExecuteAction(clang::FrontendAction&) () #37 0x00000000027c475c in clang::tooling::FrontendActionFactory::runInvocation(std::shared_ptr<clang::CompilerInvocation>, clang::FileManager*, std::shared_ptr<clang::PCHContainerOperations>, clang::DiagnosticConsumer*) () #38 0x00000000022ad486 in clang::tidy::runClangTidy(clang::tidy::ClangTidyContext&, clang::tooling::CompilationDatabase const&, llvm::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, llvm::IntrusiveRefCntPtr<llvm::vfs::OverlayFileSystem>, bool, bool, llvm::StringRef)::ActionFactory::runInvocation(std::shared_ptr<clang::CompilerInvocation>, clang::FileManager*, std::shared_ptr<clang::PCHContainerOperations>, clang::DiagnosticConsumer*) () #39 0x00000000027c44c6 in clang::tooling::ToolInvocation::runInvocation(char const*, clang::driver::Compilation*, std::shared_ptr<clang::CompilerInvocation>, std::shared_ptr<clang::PCHContainerOperations>) () #40 0x00000000027c360b in clang::tooling::ToolInvocation::run() () #41 0x00000000027c5bb1 in clang::tooling::ClangTool::run(clang::tooling::ToolAction*) () #42 0x00000000022a90c7 in clang::tidy::runClangTidy(clang::tidy::ClangTidyContext&, clang::tooling::CompilationDatabase const&, llvm::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, llvm::IntrusiveRefCntPtr<llvm::vfs::OverlayFileSystem>, bool, bool, llvm::StringRef) () #43 0x0000000001ebc7f2 in clang::tidy::clangTidyMain(int, char const**) () #44 0x0000000004c54ba0 in __libc_start_main () #45 0x0000000001eb76ae in _start () ``` Another note is that clang-tidy is CPU-bound. So we could consider running lintrunner job on 4xlarge if needed. Pull Request resolved: pytorch#115124 Approved by: https://github.com/kit1980, https://github.com/Skylion007, https://github.com/malfet

user may not know which line of code called collectives in a big code base. When debugging, we can print python-cpp stacktrace in case user call ``ProcessGroup.reduce`` instead of ``torch.distributed.reduce`` ``` LOG(INFO) << "ProcessGroupNCCL::_allgather_base stacktrace: " << get_python_cpp_trace(); ``` output (using _allgather_base as an example): one example python-part trace is ``all_gather_into_tensor from /data/users/weif/pytorch/torch/distributed/distributed_c10d.py:2838`` ``` ProcessGroupNCCL::_allgather_base stacktrace: #0 torch::unwind::unwind() from ??:0 #1 torch::CapturedTraceback::gather(bool, bool, bool) from ??:0 #2 c10d::get_python_cpp_trace[abi:cxx11]() from :0 #3 c10d::ProcessGroupNCCL::_allgather_base(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&) from ??:0 #4 c10d::ops::(anonymous namespace)::_allgather_base_CUDA(at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long) from Ops.cpp:0 #5 c10::impl::make_boxed_from_unboxed_functor<c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<std::tuple<at::Tensor, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > > (*)(at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long), std::tuple<at::Tensor, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > >, c10::guts::typelist::typelist<at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long> >, false>::call(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) from :0 #6 torch::autograd::basicAutogradNotImplementedFallbackImpl(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) from autograd_not_implemented_fallback.cpp:0 #7 c10d::ProcessGroup::_allgather_base(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&) from :0 #8 pybind11::cpp_function::initialize<pybind11::cpp_function::initialize<c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (c10d::ProcessGroup::*)(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&)#1}, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(pybind11::cpp_function::initialize<c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (c10d::ProcessGroup::*)(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&)#1}&&, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (*)(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(pybind11::detail::function_call&)#3}::_FUN(pybind11::detail::function_call&) from :0 #9 pybind11::cpp_function::dispatcher(_object*, _object*, _object*) from :0 #10 cfunction_call from /usr/local/src/conda/python-3.10.12/Objects/methodobject.c:543 #11 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.12/Objects/call.c:215 #12 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:112 #13 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #14 all_gather_into_tensor from /data/users/weif/pytorch/torch/distributed/distributed_c10d.py:2838 #15 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #16 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945 #17 wrapper from /data/users/weif/pytorch/torch/distributed/c10d_logger.py:75 #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #20 _all_gather_flat_param from /data/users/weif/pytorch/torch/distributed/fsdp/_flat_param.py:1399 #21 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #22 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #23 unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_flat_param.py:1308 #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #26 _unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:332 #27 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #28 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #29 _pre_forward_unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:448 #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #32 _pre_forward from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:413 #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #34 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #35 forward from /data/users/weif/pytorch/torch/distributed/fsdp/fully_sharded_data_parallel.py:839 #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #37 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945 #38 _call_impl from /data/users/weif/pytorch/torch/nn/modules/module.py:1520 #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #40 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945 #41 _wrapped_call_impl from /data/users/weif/pytorch/torch/nn/modules/module.py:1511 #42 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #43 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.12/Objects/call.c:431 #44 slot_tp_call from /usr/local/src/conda/python-3.10.12/Objects/typeobject.c:7494 #45 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.12/Objects/call.c:215 #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:112 #47 inner from /data/users/weif/pytorch/run_fsdp.py:72 #48 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #49 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #50 run from /data/users/weif/pytorch/run_fsdp.py:76 #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #52 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #53 main from /data/users/weif/pytorch/run_fsdp.py:133 #54 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114 #56 <module> from /data/users/weif/pytorch/run_fsdp.py:137 #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46 #58 PyEval_EvalCode from /usr/local/src/conda/python-3.10.12/Python/ceval.c:1134 #59 run_eval_code_obj from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1291 #60 run_mod from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1312 #61 pyrun_file from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1208 #62 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:456 #63 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:90 #64 pymain_run_file_obj from /usr/local/src/conda/python-3.10.12/Modules/main.c:357 #65 Py_BytesMain from /usr/local/src/conda/python-3.10.12/Modules/main.c:1090 #66 __libc_start_call_main from ??:0 #67 <unwind unsupported> from ??:0 ``` Pull Request resolved: pytorch#118924 Approved by: https://github.com/kwen2501

pytorch#126677) …destruction of tensors cached by autocast ## Root Cause For out-of-tree device extension it is loaded after torch (different .so), so the global variable `cached_casts` may be constructed before caching allocator and then destructed in reversed order when exit. ## Fix Lazily initialize `cached_casts` to correct the order. ## How to Reproduce && Test Modify the testcase `TestAutocastGPU.test_cast_cache_is_global` in test/test_autocast.py to run on your out-of-tree device. You will see following failure in the end of test. ```bash ---------------------------------------------------------------------- Ran 1 test in 4.812s OK free: 0x30080ff44000400 terminate called after throwing an instance of 'c10::Error' what(): invalid device pointer: 0x30080ff44000400 Exception raised from free at /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/framework/core/caching_allocator.cpp:1609 (most recent call first): frame #0: <unknown function> + 0x118fe1 (0x7ffaef4d3fe1 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#1: <unknown function> + 0x11b1c4 (0x7ffaef4d61c4 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#2: <unknown function> + 0x117677 (0x7ffaef4d2677 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#3: <unknown function> + 0x11a2bf (0x7ffaef4d52bf in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#4: <unknown function> + 0x11a186 (0x7ffaef4d5186 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#5: <unknown function> + 0x119fde (0x7ffaef4d4fde in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#6: <unknown function> + 0x119d2e (0x7ffaef4d4d2e in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#7: <unknown function> + 0x119be0 (0x7ffaef4d4be0 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#8: <unknown function> + 0x119977 (0x7ffaef4d4977 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#9: <unknown function> + 0x119313 (0x7ffaef4d4313 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#10: <unknown function> + 0x118b4c (0x7ffaef4d3b4c in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#11: c10::Error::Error(c10::SourceLocation, std::string) + 0x34 (0x7ffaef4d27c4 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#12: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x7f (0x7ffaef4d04ed in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#13: torch_mlu::MLUCachingAllocator::Native::NativeCachingAllocator::free(void*) + 0xe6 (0x7ff9a8eeb112 in /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/lib/libtorch_mlu.so) frame ROCm#14: torch_mlu::MLUCachingAllocator::Native::local_raw_delete(void*) + 0x3b (0x7ff9a8ed9480 in /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/lib/libtorch_mlu.so) frame ROCm#15: std::unique_ptr<void, void (*)(void*)>::~unique_ptr() + 0x50 (0x7ffb0a5ea322 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so) frame ROCm#16: <unknown function> + 0x1269890 (0x7ffb0a5e4890 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so) frame ROCm#17: <unknown function> + 0x1269928 (0x7ffb0a5e4928 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so) frame ROCm#18: <unknown function> + 0x127572c (0x7ffb0a5f072c in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so) frame ROCm#19: <unknown function> + 0x1275758 (0x7ffb0a5f0758 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so) frame ROCm#20: <unknown function> + 0xb9bc7 (0x7ffaef474bc7 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#21: <unknown function> + 0xb97bc (0x7ffaef4747bc in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#22: <unknown function> + 0xdbc50 (0x7ffaef496c50 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#23: c10::TensorImpl::~TensorImpl() + 0x82 (0x7ffaef49157e in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#24: c10::TensorImpl::~TensorImpl() + 0x1c (0x7ffaef4915aa in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so) frame ROCm#25: <unknown function> + 0x2f596d9 (0x7ffaf24fc6d9 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#26: <unknown function> + 0x2f589c2 (0x7ffaf24fb9c2 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#27: <unknown function> + 0x2f57b92 (0x7ffaf24fab92 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#28: <unknown function> + 0x2f5c228 (0x7ffaf24ff228 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#29: <unknown function> + 0x30f3f70 (0x7ffaf2696f70 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#30: <unknown function> + 0x30f3f90 (0x7ffaf2696f90 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#31: <unknown function> + 0x30f5004 (0x7ffaf2698004 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#32: <unknown function> + 0x30f5024 (0x7ffaf2698024 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#33: <unknown function> + 0x31207f0 (0x7ffaf26c37f0 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#34: <unknown function> + 0x3120814 (0x7ffaf26c3814 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#35: <unknown function> + 0x30f51e8 (0x7ffaf26981e8 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#36: <unknown function> + 0x30f5148 (0x7ffaf2698148 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#37: <unknown function> + 0x316ecea (0x7ffaf2711cea in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so) frame ROCm#38: <unknown function> + 0x468a7 (0x7ffb0c9ed8a7 in /lib/x86_64-linux-gnu/libc.so.6) frame ROCm#39: on_exit + 0 (0x7ffb0c9eda60 in /lib/x86_64-linux-gnu/libc.so.6) <omitting python frames> frame ROCm#47: __libc_start_main + 0xf3 (0x7ffb0c9cb083 in /lib/x86_64-linux-gnu/libc.so.6) Aborted (core dumped) ``` Pull Request resolved: pytorch#126677 Approved by: https://github.com/ezyang

…g to repo (pytorch#128852) Related to: pytorch#125879 Would check if we are compiled with CUDA before publishing CUDA Docker nightly image Test ``` #18 [conda-installs 5/5] RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())'); echo "Is torch compiled with cuda: ${IS_CUDA}"; if test "${IS_CUDA}" != "True" -a ! -z "12.4.0"; then exit 1; fi #18 1.656 Is torch compiled with cuda: False #18 ERROR: process "/bin/sh -c IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())'); echo \"Is torch compiled with cuda: ${IS_CUDA}\"; if test \"${IS_CUDA}\" != \"True\" -a ! -z \"${CUDA_VERSION}\"; then \texit 1; fi" did not complete successfully: exit code: 1 ------ > [conda-installs 5/5] RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())'); echo "Is torch compiled with cuda: ${IS_CUDA}"; if test "${IS_CUDA}" != "True" -a ! -z "12.4.0"; then exit 1; fi: 1.656 Is torch compiled with cuda: False ------ Dockerfile:80 -------------------- 79 | RUN /opt/conda/bin/pip install torchelastic 80 | >>> RUN IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())');\ 81 | >>> echo "Is torch compiled with cuda: ${IS_CUDA}"; \ 82 | >>> if test "${IS_CUDA}" != "True" -a ! -z "${CUDA_VERSION}"; then \ 83 | >>> exit 1; \ 84 | >>> fi 85 | -------------------- ERROR: failed to solve: process "/bin/sh -c IS_CUDA=$(python -c 'import torch ; print(torch.cuda._is_compiled())'); echo \"Is torch compiled with cuda: ${IS_CUDA}\"; if test \"${IS_CUDA}\" != \"True\" -a ! -z \"${CUDA_VERSION}\"; then \texit 1; fi" did not complete successfully: exit code: 1 (base) [ec2-user@ip-172-30-2-248 pytorch]$ docker buildx build --progress=plain --platform="linux/amd64" --target official -t ghcr.io/pytorch/pytorch:2.5.0.dev20240617-cuda12.4-cudnn9-devel --build-arg BASE_IMAGE=nvidia/cuda:12.4.0-devel-ubuntu22.04 --build-arg PYTHON_VERSION=3.11 --build-arg CUDA_VERSION= --build-arg CUDA_CHANNEL=nvidia --build-arg PYTORCH_VERSION=2.5.0.dev20240617 --build-arg INSTALL_CHANNEL=pytorch --build-arg TRITON_VERSION= --build-arg CMAKE_VARS="" . #0 building with "default" instance using docker driver ``` Please note looks like we are installing from pytorch rather then nighlty channel on PR hence cuda 12.4 is failing since its not in pytorch channel yet: https://github.com/pytorch/pytorch/actions/runs/9555354734/job/26338476741?pr=128852 Pull Request resolved: pytorch#128852 Approved by: https://github.com/malfet

ezyang and others added 23 commits July 3, 2018 09:11

Fix the comments: code and comments dimensions mis-match (pytorch#9070)

e3dbdb2

Summary: This will resolve the code and comments mis-match issue. Closes pytorch#9070 Differential Revision: D8712261 Pulled By: ezyang fbshipit-source-id: a8a7d8af890a41ec246e11c2a62b0bde297be9c1

Fix bug in flip() (pytorch#9156)

08daed4

Summary: Closes pytorch#9147 Added a test to prevent regression in test_torch Added entries in docs cc ezyang weiyangfb Closes pytorch#9156 Differential Revision: D8732095 Pulled By: soumith fbshipit-source-id: 7a6892853cfc0ccb0142b4fd25015818849adf61

Add meshgrid to PyTorch (pytorch#8581)

213540c

Summary: Part of this issue pytorch#7580 Closes pytorch#8581 Differential Revision: D8661660 Pulled By: soumith fbshipit-source-id: 4a72fb5152ed6eb4d57f14de691bf09a2a2e5b0c

Remove unused RowwiseArgMaxOp (pytorch#9119)

21c420c

Summary: Closes pytorch#9119 Remove unused RowwiseArgMaxOp Reviewed By: houseroad Differential Revision: D8719826 fbshipit-source-id: 57d78c8b93bc94a4634d806c7c2041f8c18678a5

Turn on UBSAN in the OSS build (pytorch#8813)

ff501c3

Summary: Copy of pytorch#8802 Closes pytorch#8813 Differential Revision: D8707364 Pulled By: yf225 fbshipit-source-id: bc201980b50e9fb44c42a17f898b50d3558fc417

Merge remote-tracking branch 'upstream/master'

d28c837

iotamudelta requested a review from ezyang as a code owner July 6, 2018 17:08

iotamudelta merged commit f737380 into ROCm:master Jul 6, 2018

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Merge from pytorch upstream #18

Merge from pytorch upstream #18

iotamudelta commented Jul 6, 2018

iotamudelta commented Jul 6, 2018

Merge from pytorch upstream #18

Merge from pytorch upstream #18

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iotamudelta commented Jul 6, 2018

iotamudelta commented Jul 6, 2018