Bump master #25

jjsjann123 · 2020-05-07T17:04:53Z

nothing to see, just to I can merge bump master for us to converge with upstream master

…de (pytorch#37533) Summary: Reland of pytorch#37389. Fix for the cuda 10.1 CI failure. Pull Request resolved: pytorch#37533 Differential Revision: D21326386 Pulled By: ezyang fbshipit-source-id: f34875865c8bad76163995c18d88b0e76656bb22

…torch#37468) Summary: This reverts commit d167a7f. Pull Request resolved: pytorch#37468 Differential Revision: D21305110 Pulled By: anjali411 fbshipit-source-id: d1bdc9d9feac00331fc2b2b905d49f80bef680f9

Summary: Fixes pytorch#37415 Pull Request resolved: pytorch#37504 Differential Revision: D21305979 Pulled By: natalialunova fbshipit-source-id: 0606a39a6006a236a37a0e6df87959736474547f

Summary: Pull Request resolved: pytorch#37540 ghstack-source-id: 103169129 Test Plan: buck test mode/no-gpu mode/dev //caffe2/test:jit -- 'test_lower_graph_conv $test_jit\.TestScript$' buck test mode/no-gpu mode/dev //caffe2/test:jit -- 'test_lower_graph $test_jit\.TestScript$' Differential Revision: D21313433 fbshipit-source-id: bb9942272784e517b07537ee4c149b9dc4df4c2a

Summary: Pull Request resolved: pytorch#37333 Differential Revision: D21290289 Pulled By: resistor fbshipit-source-id: ebba11f7af9e22b48c47e2eefb9497fa77acd17d

…ytorch#37535) Summary: Pull Request resolved: pytorch#37535 Fuse ClipRanges + GatherRanges + SigridHash -> ClipRangesGatherSigridHash dpa_product_ctr model's dper2 to dper3 migration is blocked by 3.6% higher prospector cpu usage. Root cause is traced down to sigrid transforms, where ClipRanges, GatherRanges, SigridHash are separately called, instead of fused, as is the case in dper2. Further context: https://fb.quip.com/GijaAZtX5mav https://fb.quip.com/pIDdAjJP2uiG Test Plan: Local benchmarking with small model 181513584_0 (Dper3 full model is 178772812, dper2 refresh is 178770392) Transform turned on: P129799373 Iters per second: 609.291 Transform turned off: P129799397 Iters per second: 519.088 We also want to confirm this performance on the full model in canary and in qrt. `buck build mode/opt-clang mode/no-gpu caffe2/caffe2/fb/predictor:ptvsc2_predictor_bench` `MKL_NUM_THREADS=1 OMP_NUM_THREADS=1 ./buck-out/opt/gen/caffe2/caffe2/fb/predictor/ptvsc2_predictor_bench --pred_net=/data/users/ansha/tmp/dpa/small_pred_net.pb --c2_model=/data/users/ansha/tmp/dpa/181513584_0.predictor --c2_inputs=/data/users/ansha/tmp/dpa/c2_inputs_small.pb --iters=3000 --warmup_iters=100 --num_threads=32 --c2_apply_nomnigraph_passes=1 --caffe2_predictor_enable_preproc_fusion=1` Prospector canary: https://our.intern.facebook.com/intern/ads/canary/426280288521552095/ Check that ClipRangesGatherSigridHash is used: https://fburl.com/scuba/caffe2_operator_stats_canary/e6qfdsat Reviewed By: yinghai Differential Revision: D21262085 fbshipit-source-id: 2c2481e3d4977abb8abe6e9ef0c9999382320ab2

Summary: Pull Request resolved: pytorch#36695 Reviewed By: lw Differential Revision: D21312297 Pulled By: beauby fbshipit-source-id: 39fdc3de91efa4ac97dd169f09fb304b273b0050

Summary: Pull Request resolved: pytorch#37527 This is yet another place that needs to be updated for adding a new "Backend" and is unnecessary. Instead, just use layout_from_backend and have a map from Layout -> THPLayout. Other changes: - rename torch::getDtype and torch::getLayout to torch::getTHPDtype and torch::getTHPLayout since e.g. for layout you are both passing in and returning a "layout" type. - add NumOptions to Layout to match the dtype/ScalarType formulation. Test Plan: Imported from OSS Differential Revision: D21309836 Pulled By: gchanan fbshipit-source-id: ede0e4f3bf7ff2cd04a9b17df020f0d4fd654ba3

Summary: Fixes pytorch#34238 Pull Request resolved: pytorch#34239 Differential Revision: D21328036 Pulled By: soumith fbshipit-source-id: dac2735383b1a689139af5a23f61ccbebd1fd6c1

Summary: GitHub commits: facebook/fbthrift@2b59db7 facebook/folly@242186f facebook/mcrouter@4bf6682 facebook/rocksdb@fe238e5 facebook/watchman@e8cf500 pytorch/FBGEMM@17d9a60 Test Plan: n/a Reviewed By: yns88 fbshipit-source-id: 3c1030ebc3768a827583b50c2d47fba494816943

Summary: fix inaccurate formula. advertise `reshape` better. Pull Request resolved: pytorch#36728 Differential Revision: D21094139 Pulled By: zou3519 fbshipit-source-id: 966ce5b84938b384584489040d2f132fee295bb4

Summary: Pull Request resolved: pytorch#27957 Benchmark (gcc 8.3, Debian Buster, turbo off, Release build, Intel(R) Xeon(R) E-2136): ```python import timeit for dtype in ('torch.double', 'torch.float', 'torch.uint8', 'torch.int8', 'torch.int16', 'torch.int32', 'torch.int64'): for n, t in [(40_000, 50000), (400_000, 5000)]: print(f'torch.linspace(0, 10, {n}, dtype={dtype}) for {t} times') print(timeit.timeit(f'torch.linspace(0, 10, {n}, dtype={dtype})', setup=f'import torch', number=t)) ``` Before: ``` torch.linspace(0, 10, 40000, dtype=torch.double) for 50000 times 1.3964195849839598 torch.linspace(0, 10, 400000, dtype=torch.double) for 5000 times 1.2374563289922662 torch.linspace(0, 10, 40000, dtype=torch.float) for 50000 times 1.8631796519621275 torch.linspace(0, 10, 400000, dtype=torch.float) for 5000 times 1.6991038109990768 torch.linspace(0, 10, 40000, dtype=torch.uint8) for 50000 times 1.8358083459897898 torch.linspace(0, 10, 400000, dtype=torch.uint8) for 5000 times 1.7214750979910605 torch.linspace(0, 10, 40000, dtype=torch.int8) for 50000 times 1.8356257299892604 torch.linspace(0, 10, 400000, dtype=torch.int8) for 5000 times 1.706238206999842 torch.linspace(0, 10, 40000, dtype=torch.int16) for 50000 times 1.7463878280250356 torch.linspace(0, 10, 400000, dtype=torch.int16) for 5000 times 1.6172360889613628 torch.linspace(0, 10, 40000, dtype=torch.int32) for 50000 times 1.8656846070080064 torch.linspace(0, 10, 400000, dtype=torch.int32) for 5000 times 1.714238062966615 torch.linspace(0, 10, 40000, dtype=torch.int64) for 50000 times 1.8272205490502529 torch.linspace(0, 10, 400000, dtype=torch.int64) for 5000 times 1.6409171230043285 ``` After: ``` torch.linspace(0, 10, 40000, dtype=torch.double) for 50000 times 1.0077099470072426 torch.linspace(0, 10, 400000, dtype=torch.double) for 5000 times 0.8227124120458029 torch.linspace(0, 10, 40000, dtype=torch.float) for 50000 times 1.0058343949494883 torch.linspace(0, 10, 400000, dtype=torch.float) for 5000 times 0.8376779520185664 torch.linspace(0, 10, 40000, dtype=torch.uint8) for 50000 times 1.903041019977536 torch.linspace(0, 10, 400000, dtype=torch.uint8) for 5000 times 1.7576498500420712 torch.linspace(0, 10, 40000, dtype=torch.int8) for 50000 times 1.7628699769848026 torch.linspace(0, 10, 400000, dtype=torch.int8) for 5000 times 1.6204477970022708 torch.linspace(0, 10, 40000, dtype=torch.int16) for 50000 times 2.0970272019621916 torch.linspace(0, 10, 400000, dtype=torch.int16) for 5000 times 1.9493417189805768 torch.linspace(0, 10, 40000, dtype=torch.int32) for 50000 times 2.29020385700278 torch.linspace(0, 10, 400000, dtype=torch.int32) for 5000 times 2.1212510910118 torch.linspace(0, 10, 40000, dtype=torch.int64) for 50000 times 2.3479344319785014 torch.linspace(0, 10, 400000, dtype=torch.int64) for 5000 times 2.156775983981788 ``` Test Plan: Imported from OSS Differential Revision: D20773454 Pulled By: VitalyFedyunin fbshipit-source-id: ebeef59a90edde581669cc2afcc3d65929c8ac79

Summary: Pull Request resolved: pytorch#37591 skip the tests since gluster is gone. Test Plan: ci Reviewed By: ezyang Differential Revision: D21330359 fbshipit-source-id: a4e158fb72eddb08ba49fcfa9541569a150f8481

…r class and clean up cusparse code Test Plan: revert-hammer Differential Revision: D21326386 Original commit changeset: f34875865c8b fbshipit-source-id: 7b173ddc9c6f9d8d496e2bf3cd80bc9b85bda50a

…35178) Summary: Pull Request resolved: pytorch#35178 * add layer norm (LN) after specialized output embeddings * add flexible lce inside specialized module Test Plan: * unit-tests * buck test caffe2/caffe2/fb/dper/layer_models/tests/split_1:sparse_nn_test_4 -- * buck test caffe2/caffe2/fb/dper/layer_models/tests/split_1:sparse_nn_test_6 -- * workflows * flexible lce: f177025325 {F232112501} * LN: f177025301 {F232112982} Differential Revision: D20586281 fbshipit-source-id: 664e77cb4cb5bec6646cafd2e4afb88aff27df03

Summary: Changelog: - The magma implementation of small singular square batch matrices had a bug that resulted in nan values in the LU factorization result. This has been fixed in MAGMA 2.5.2. This PR removes the existing patch that was a temporary workaround for this bug. Pull Request resolved: pytorch#35973 Test Plan: - Existing tests for det and lu should pass This is a re-submit of pytorch#34357 Differential Revision: D21336552 Pulled By: seemethere fbshipit-source-id: 9c3b350966913147f1d5811927f3cae10fe620f1

Summary: Pull Request resolved: pytorch#36345 During compilation, we spend a huge amount of time in alias analyis. This PR does a few things to speed it up. 1. Separate the analysis into two phases: one where we build up the necessary data structures, and the other where we service aliasing queries. This allows us to defer building indices/maintaining index consistency until after the "buildup" phase is done. 2. Properly memoize/dynamic program the memory locations lookups. 3. Done naively, setting wildcards invalidates the above memoization, trigger costly recomputation. So I added a cache-aware `setWildcards`. Sadly that means you need alias analysis to reach into the guts of memorydag, but the speedup is worth it. Sadly, these changes are kind of coupled for correctness reasons, so they're all here at once. I used this model (thanks IlyaOvodov) as a provisional benchmark. You can get it here: https://www.dropbox.com/s/jlyygn6yygj1jkx/yolov3.zip. Unzip at run `python test_timing.py`. Baseline: (752.076s) right before 6bc8ffe After optimizing before inlining: (699.593s) After deferring cache construction: (426.180s) After cache-aware `setWildcards`: (193.678s) So a nice 75% speedup to overall compilation. There's a lot more to do in other places of the compilation pipeline though. Followup to this PR specifically: Everything that fans out from the `analyze` call is the "buildup" phase of AliasDB construction. This should be factored into a separate analysis pass to statically distinguish the two phases (right now we just null out stuff to accomplish the same thing dynamically). Test Plan: Imported from OSS Differential Revision: D20952727 Pulled By: suo fbshipit-source-id: 099f797222d7e71e5c04991584adc2c7eab5a70f

Summary: Pull Request resolved: pytorch#36716 Test Plan: Imported from OSS Differential Revision: D21110112 Pulled By: z-a-f fbshipit-source-id: 4b62e1bb3c3b6a3276bc5f8ee5ead0f513ec0137

Summary: GitHub commits: facebook/fbthrift@a253b97 facebook/rocksdb@6504ae0 pytorch/FBGEMM@e6a4c5a Test Plan: n/a Reviewed By: yns88 fbshipit-source-id: 267d7c60012547549ce2750c4f6c5bd16024fdfa

Summary: Pull Request resolved: pytorch#37452 Test Plan: Imported from OSS Differential Revision: D21286659 Pulled By: z-a-f fbshipit-source-id: f9f4de497a790b296149313562d09f8ead5facee

…h#37589) Summary: Pull Request resolved: pytorch#37589 Apply the fix from pytorch@9f890a92 to the clang-format job as well. Test Plan: Imported from OSS Differential Revision: D21330250 Pulled By: suo fbshipit-source-id: d92b9666ba8b92d049393cbe7f2ce45daa563910

Summary: Pull Request resolved: pytorch#37602 Fixes pytorch#37371 Test Plan: Imported from OSS Differential Revision: D21334739 Pulled By: pbelevich fbshipit-source-id: b8443c14760ec825da3f7d300ad496578170671f

Summary: Improve the readability of the logs. Pull Request resolved: pytorch#37400 Differential Revision: D21302597 Pulled By: ezyang fbshipit-source-id: b8cbd33f95b6839ad4c6930bed8750c9b5a2ef7a

…#37586) Summary: Closes pytorch#36625 Pull Request resolved: pytorch#37586 Differential Revision: D21331385 Pulled By: suo fbshipit-source-id: 752e63eac8bdd06c6719efb972cdc832ad7c1535

Summary: Pull Request resolved: pytorch#37559 Test Plan: Imported from OSS Differential Revision: D21319922 Pulled By: glaringlee fbshipit-source-id: 212ef8e9d0f0d55a312d282693cd5990e0376c6a

Summary: Pull Request resolved: pytorch#37106 Recomputing the aliasdb on every fusion iteration + in every subblock is hugely expensive. Instead, update it in-place when doing fusion. The graph fuser pass operates by pushing nodes into a fusion group. So we start with ``` x, y = f(a, b, c) ``` and end with: ``` x_out, y_out = prim::fusionGroup(a, b, c) x_in, y_in = f(a_in, b_in, c_in) -> x_in, y_in ``` We destroy the `x` and `y` `Value*`s in the process. This operation is easy to express as an update to the aliasDb--`x_out` just takes on all the aliasing information `x` used to have. In particular, since we know `f` and `prim::fusionGroup` are purely functional, we don't have to mess with any write information. This PR is the bare minimum to get this working, in the interest of unscrewing the compilation times ASAP. Followups I want to do: - We don't have a way of expressing deletion of values in AliasDb. In `graph_fuser.cpp` we sometimes construct nodes that we end up throwing away, and we are littering `MemoryDAG` with references to dangling pointers. Because of the way the pass works, it's fine, but this is fragile so I want to fix it. - We should decouple alias analysis from write tracking, to simplify the job of keeping the write caches consistent as we mutate the aliasing information. - the tensorexpr fuser doesn't do this and thus is incorrect today, we need to update it to work. Test Plan: Imported from OSS Differential Revision: D21219179 Pulled By: suo fbshipit-source-id: 8ae5397b3a0ad90edec2fbc555647091f1ad5284

Summary: Pull Request resolved: pytorch#36101 Reviewed By: jamesr66a Differential Revision: D20908711 Pulled By: Krovatkin fbshipit-source-id: f90ce74acffeb645d7d906d07e293164d65ed7e6

Summary: See: pytorch#37563 (comment) http://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines#Ro-namespace Tested by eq and ne operator not failing Pull Request resolved: pytorch#37605 Differential Revision: D21349289 Pulled By: anjali411 fbshipit-source-id: d12c89c207e36ebd4c88aa4d06425dd98d58883b

Summary: Pull Request resolved: pytorch#36812 ghstack-source-id: 103218413 Test Plan: Quantized op tests. Reviewed By: z-a-f Differential Revision: D21093839 fbshipit-source-id: 9b68916e56684efb80dd131eece655a7f3779362

Summary: Pull Request resolved: pytorch#36813 - Changes to q_avgpool to map special cases of adaptive avgpool to avgpool. - Map special cases of adaptive avg pool to avgpool. ghstack-source-id: 103218410 Test Plan: QuantizedOps.test_adaptive_avgpool2d Reviewed By: z-a-f Differential Revision: D21093837 fbshipit-source-id: c45a03b597eaa59e1057561ee4e8e116ac138f8f

Summary: * Add error message when onnx model file path is not a string. * Add error message when model size exceed 2GB when large model export is not turned on. Pull Request resolved: pytorch#37798 Reviewed By: hl475 Differential Revision: D21440571 Pulled By: houseroad fbshipit-source-id: 054aaa25ab0cffc229f9b487a2c160623c89b741

…torch#37943) Summary: Pull Request resolved: pytorch#37943 Refactor tests to use supported_qengines Test Plan: python test/test_quantization.py Imported from OSS Differential Revision: D21435514 fbshipit-source-id: 8004ef2535e1cc65036f331c00af27ded1c04a6b

Summary: Pull Request resolved: pytorch#37923 ATT. Previously we missed this one. Test Plan: unittests Reviewed By: hyuen Differential Revision: D21426190 fbshipit-source-id: de85892a50a4b4820386e0f0d6adc34d12b33788

pytorch#37941) Summary: Pull Request resolved: pytorch#37941 Differential Revision: D21429733 Pulled By: resistor fbshipit-source-id: 12094d990c11da8b44f32a52aa5e50b3f3575145

…7963) Summary: Pull Request resolved: pytorch#37963 This function is still widely used in the codebase, so we don't want to add noise to builds with a bunch of warnings. Seems like the comment + macro are already pretty good indications that this functionality is considered legacy Test Plan: Imported from OSS Differential Revision: D21434447 Pulled By: suo fbshipit-source-id: 08162ed6502894ea5d3ccb92dfa0183232cc2ab5

…#37918) Summary: Pull Request resolved: pytorch#37918 ghstack-source-id: 103569096 Test Plan: Tested top of stack Reviewed By: jiayisuse Differential Revision: D21425537 fbshipit-source-id: 2e78d700ea774944c7fd8b22e152d8e459dd422a

Summary: In D21209901 TensorPipe added support for a vector of payloads inside each message, instead of a single one, so that users with multiple payloads can send them separately as they are instead of having to copy them into a new block of contiguous memory. The PyTorch agent is using the old API, which is preventing us from deleting it. This change has no effects on over-the-wire format and thus on performance. Pull Request resolved: pytorch#37919 ghstack-source-id: 103572164 Test Plan: On both workers ``` import os import torch import torch.distributed.rpc as rpc os.environ["MASTER_ADDR"] = "127.0.0.1" os.environ["MASTER_PORT"] = "8765" ``` On worker 0 ``` rpc.init_rpc(name="foo", rank=0, backend=rpc.backend_registry.BackendType.TENSORPIPE, world_size=2, rpc_backend_options=rpc.TensorPipeRpcBackendOptions(worker_name_to_id={"foo": 0, "bar": 0})) ``` On worker 1 ``` rpc.init_rpc(name="bar", rank=1, backend=rpc.backend_registry.BackendType.TENSORPIPE, world_size=2, rpc_backend_options=rpc.TensorPipeRpcBackendOptions(worker_name_to_id={"foo": 0, "bar": 0})) ``` On worker 0 ``` In [15]: rpc.rpc_sync("bar", torch.add, args=(torch.full((2,2), 1), torch.full((2,2), 2))) Out[15]: tensor([[3., 3.], [3., 3.]]) In [16]: rpc.rpc_sync("bar", torch.add, args=(1, 2)) Out[16]: 3 ``` Differential Revision: D21425536 fbshipit-source-id: a0ec2be825556b39aff018a2834baf815a6d8fa5

Summary: clamp_min is used in `torch.nn.functional.normalize`. Update symbolic_opset11 to support with updated clip in onnx opset 11. Pull Request resolved: pytorch#37872 Reviewed By: hl475 Differential Revision: D21440450 Pulled By: houseroad fbshipit-source-id: a59cbec3f4d00c3f6654da6a747fbfca59d618f1

Summary: Pull Request resolved: pytorch#37896 Test Plan: Imported from OSS Differential Revision: D21442150 Pulled By: anjali411 fbshipit-source-id: b80ff801572a61f76dd25f94726a2a6334a89f3b

Summary: Also move the ignores for imports to the bottom in `mypy.ini`, those are much less interesting - start with the stuff people want to work on. Second commit tests the instructions: remove an ignore, fix the issue. Pull Request resolved: pytorch#37594 Differential Revision: D21434858 Pulled By: ezyang fbshipit-source-id: 4f1a6868cdb4cb59d072bcf105f48c3a5ba3ff98

Summary: Issue: pytorch#18056 Pull Request resolved: pytorch#37191 Differential Revision: D21428373 Pulled By: albanD fbshipit-source-id: a7d367bafb95137e1bc380178b82b08eff5d5a5a

…orch#37870) Summary: Pull Request resolved: pytorch#37870 Test Plan: Imported from OSS Differential Revision: D21410785 fbshipit-source-id: 374d5f40fbdfec98262aa4c84ec4ccdc40fb2ac1

Summary: Pull Request resolved: pytorch#37955 Test Plan: Imported from OSS Differential Revision: D21433213 Pulled By: gchanan fbshipit-source-id: 421c566471279b53348bc77e738af13a1f3e1f9e

Summary: Pull Request resolved: pytorch#38013 Reviewed By: mrshenli Differential Revision: D21450029 Pulled By: lw fbshipit-source-id: 9e449af76d9e232a8c800981db421c4f390c49b2

Summary: This PR added more supported operations in CUDA fuser. We are covering major point-wise operations supported in legacy fuser. In an attempt to adapt to legacy executor: 1. added an naive shape propagation pass on pytorch JIT IR; 2. small refactor on graph partitioning; 3. fallback interpreter execution of fusion group; Pull Request resolved: pytorch#37849 Reviewed By: yf225 Differential Revision: D21444320 Pulled By: soumith fbshipit-source-id: 712e18ab8497f8d58a07e6f8d200cdab52cf0d74

Summary: Pull Request resolved: pytorch#37894 Differential Revision: D21449993 Pulled By: malfet fbshipit-source-id: d9d355d360384cbb158f62b40dc885527f22ee05

…7186) Summary: Miniconda repo has moved from continuum.io to anaconda.com Also we should be specific about cudatoolkit version so that it installs the right CUDA version. Resolves pytorch#37047 Signed-off-by: Eli Uriegas <eliuriegas@fb.com> Pull Request resolved: pytorch#37186 Differential Revision: D21443147 Pulled By: seemethere fbshipit-source-id: 856718822bdd3ce51bbc6e59b0609fe6af77bd79

kevinstephano

Stamp.

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 csarofeen#5 0x00007efc64f76b84 in ?? () from /lib64/libcuda.so csarofeen#6 0x00007efc64f77f5d in ?? () from /lib64/libcuda.so csarofeen#7 0x00007efc64eac858 in ?? () from /lib64/libcuda.so csarofeen#8 0x00007efc64eacfbc in ?? () from /lib64/libcuda.so csarofeen#9 0x00007efc7810a924 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#10 0x00007efc780fa2be in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#11 0x00007efc78111044 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#12 0x00007efc7811580a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#13 0x00007efc78115aa4 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#14 0x00007efc781079ec in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#15 0x00007efc780e6a7a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#16 0x00007efc7811cfa5 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#17 0x00007efc777ea98c in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#18 0x00007efc777ebd80 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#19 0x00007efc777ea2c9 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#20 0x00007efc778c2e2d in cublasDestroy_v2 () from /usr/local/cuda/lib64/libcublas.so.11 csarofeen#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 csarofeen#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 csarofeen#23 0x00007efca4648b0c in __run_exit_handlers () from /lib64/libc.so.6 csarofeen#24 0x00007efca4648c40 in exit () from /lib64/libc.so.6 csarofeen#25 0x0000558c8852e5f9 in Py_Exit (sts=0) at /tmp/build/80754af9/python_1614362349910/work/Python/pylifecycle.c:2292 csarofeen#26 0x0000558c8852e6a7 in handle_system_exit () at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:636 csarofeen#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 csarofeen#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 csarofeen#29 0x0000558c88540ead in pymain_run_command (cf=0x7ffe3a986110, command=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:420 csarofeen#30 pymain_run_python (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:2907 csarofeen#31 pymain_main (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3460 csarofeen#32 0x0000558c8854122c in _Py_UnixMain (argc=<optimized out>, argv=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3495 csarofeen#33 0x00007efca4632493 in __libc_start_main () from /lib64/libc.so.6 csarofeen#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 #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 #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 #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 #4: [0x7f3ba45cfea1] frame #5: <unknown function> + 0x1b5334 (0x5652bdab9334 in ./test_deploy) frame #6: <unknown function> + 0x1b4f3e (0x5652bdab8f3e in ./test_deploy) frame #7: <unknown function> + 0x1b519b (0x5652bdab919b in ./test_deploy) frame #8: loadSearchFile(char const*) + 0x23e (0x7f3ba62f37f8 in /tmp/torch_deploy9ATEFg) frame #9: deploy_set_self + 0x51 (0x7f3ba62f38f9 in /tmp/torch_deploy9ATEFg) frame #10: torch::deploy::Interpreter::Interpreter(torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>) + 0x274 (0x5652bdaaa790 in ./test_deploy) frame #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 #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 #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 #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 #15: torch::deploy::InterpreterManager::InterpreterManager(unsigned long, std::shared_ptr<torch::deploy::Environment>) + 0x123 (0x5652bdaa83b1 in ./test_deploy) frame #16: TorchpyTest_InitTwice_Test::TestBody() + 0x65 (0x5652bda075a9 in ./test_deploy) frame #17: void testing::internal::HandleSehExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x65 (0x5652bda944b7 in ./test_deploy) frame #18: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x5a (0x5652bda8cfe7 in ./test_deploy) frame #19: testing::Test::Run() + 0x100 (0x5652bda68622 in ./test_deploy) frame #20: testing::TestInfo::Run() + 0x10f (0x5652bda68fb3 in ./test_deploy) frame #21: testing::TestSuite::Run() + 0x121 (0x5652bda6980d in ./test_deploy) frame #22: testing::internal::UnitTestImpl::RunAllTests() + 0x38e (0x5652bda756e6 in ./test_deploy) frame #23: bool testing::internal::HandleSehExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x65 (0x5652bda9586b in ./test_deploy) frame #24: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x5a (0x5652bda8e0f7 in ./test_deploy) frame #25: testing::UnitTest::Run() + 0xc9 (0x5652bda73fd1 in ./test_deploy) frame #26: RUN_ALL_TESTS() + 0x11 (0x5652bda169fa in ./test_deploy) frame #27: main + 0x27 (0x5652bda10ce2 in ./test_deploy) frame #28: <unknown function> + 0x2d310 (0x7f3bc0431310 in /usr/lib/libc.so.6) frame #29: __libc_start_main + 0x81 (0x7f3bc04313c1 in /usr/lib/libc.so.6) frame #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

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

…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 csarofeen#2 0x52b933 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3 csarofeen#3 0x7f9118e0341f (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f) csarofeen#4 0x7f9118c2300a in raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300a) csarofeen#5 0x7f9118c02858 in abort (/lib/x86_64-linux-gnu/libc.so.6+0x22858) csarofeen#6 0x7f9119040910 (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910) csarofeen#7 0x7f911904c38b (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b) csarofeen#8 0x7f911904c3f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6) csarofeen#9 0x7f911904c6a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8) csarofeen#10 0x7f91190433aa (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa13aa) csarofeen#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 csarofeen#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 csarofeen#13 0xce8f93e in torch::jit::Unpickler::readInstruction() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:546:26 csarofeen#14 0xce8d527 in torch::jit::Unpickler::run() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:235:27 csarofeen#15 0xce8d1c2 in torch::jit::Unpickler::parse_ivalue() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:192:3 csarofeen#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 csarofeen#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 csarofeen#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 csarofeen#19 0xe0ffa10 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/utils.cpp:108:14 csarofeen#20 0x602a41 in LLVMFuzzerTestOneInput /message_deserialize_fuzz.cc:192:27 csarofeen#21 0x52ce61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15 csarofeen#22 0x516d7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6 csarofeen#23 0x51cacb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9 csarofeen#24 0x546062 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10 csarofeen#25 0x7f9118c04082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) csarofeen#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 #1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215 csarofeen#2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69 csarofeen#3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177 csarofeen#4 0x3ff7a9aaedd in bool std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++- v11/bits/stl_algobase.h:1162 csarofeen#5 0x3ff7a9aae4b in bool std::__equal_aux1<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/ stl_algobase.h:1211 csarofeen#6 0x3ff7a9aae05 in bool std::__equal_aux<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/s tl_algobase.h:1219 csarofeen#7 0x3ff7a9aad97 in bool std::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_alg obase.h:1556 csarofeen#8 0x3ff4b23c771 in c10::ArrayRef<c10::SymInt>::equals(c10::ArrayRef<c10::SymInt>) const /home/user/pytorch/c10/util/ArrayRef.h:188 csarofeen#9 0x3ff4cb91bc1 in bool c10::operator!=<c10::SymInt>(c10::ArrayRef<c10::SymInt>, c10::ArrayRef<c10::SymInt>) /home/user/pytorch/c10/util/ArrayRef.h:341 csarofeen#10 0x3ff6d1b57ff in torch::ADInplaceOrView::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/torch/csrc/autograd/Variab leTypeManual.cpp:408 csarofeen#11 0x3ff6d1e59c7 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1 0::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#12 0x3ff6d1e59c7 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10: :ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::Sy mInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::Disp atchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#13 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#14 0x3ff51ca6e8f in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#15 0x3ff51ca6e8f in at::Tensor const& c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Ten sor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#16 0x3ff5182006b in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c 10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#17 0x3ff5182006b in at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2144 csarofeen#18 0x3ff6d1d5e07 in at::redispatch::resize__symint(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#19 0x3ff6d1bbb67 in torch::autograd::VariableType::(anonymous namespace)::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pyto rch/torch/csrc/autograd/VariableTypeManual.cpp:243 csarofeen#20 0x3ff6d1bd197 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1 0::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10 ::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFu nctionIntoFunctor.h:13 csarofeen#21 0x3ff6d1bd197 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10: :ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c 10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor .h:480 csarofeen#22 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#23 0x3ff5181ead1 in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#24 0x3ff5181ead1 in at::Tensor const& c10::Dispatcher::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor co nst& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/at en/src/ATen/core/dispatch/Dispatcher.h:639 csarofeen#25 0x3ff5181ead1 in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487 csarofeen#26 0x3ff5181ead1 in at::_ops::resize_::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2137 csarofeen#27 0x3ff79b44fcf in at::Tensor::resize__symint(c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const aten/src/ATen/core/TensorBody.h:2452 csarofeen#28 0x3ff79a802db in torch::autograd::THPVariable_resize_(_object*, _object*, _object*)::$_0::operator()(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/us er/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13417 csarofeen#29 0x3ff7999f1eb in torch::autograd::THPVariable_resize_(_object*, _object*, _object*) /home/user/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13419 csarofeen#30 0x3ffa2c9b009 in method_vectorcall_VARARGS_KEYWORDS Objects/descrobject.c:344 csarofeen#31 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#32 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#33 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#34 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#35 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#36 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#37 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#38 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#39 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#40 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#41 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#42 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#43 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#44 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#45 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#46 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#47 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#48 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#49 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#50 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#51 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#52 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#53 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#54 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#55 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#56 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#57 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#58 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#59 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#60 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#61 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#62 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#63 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#64 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#65 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#66 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#67 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#68 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#69 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#70 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#71 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#72 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#73 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#74 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#75 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#76 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#77 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#78 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#79 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#80 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#81 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#82 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#83 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#84 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#85 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#86 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#87 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#88 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#89 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#90 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#91 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#92 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#93 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#94 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#95 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#96 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#97 0x3ffa2c8ab9b in PyVectorcall_Call Objects/call.c:267 csarofeen#98 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#99 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#100 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#101 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#102 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#103 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#104 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#105 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#106 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#107 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#108 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#109 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#110 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#111 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#112 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#113 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#114 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#115 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#116 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#117 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#118 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#119 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#120 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#121 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#122 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#123 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#124 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#125 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#126 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#127 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#128 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#129 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#130 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#131 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#132 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#133 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#134 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#135 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#136 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#137 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#138 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#139 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#140 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#141 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#142 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#143 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#144 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#145 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#146 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#147 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#148 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#149 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#150 0x3ffa2c8ad17 in _PyObject_Call Objects/call.c:305 csarofeen#151 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#152 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#153 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#154 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#155 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#156 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#157 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#158 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#159 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#160 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#161 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#162 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#163 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#164 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#165 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#166 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#167 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#168 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#169 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#170 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#171 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#172 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#173 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#174 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#175 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#176 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#177 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#178 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#179 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#180 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#181 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#182 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#183 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#184 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#185 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#186 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#187 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#188 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#189 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#190 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#191 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#192 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#193 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#194 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#195 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#196 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#197 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#198 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#199 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#200 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#201 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#202 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#203 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#204 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#205 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#206 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#207 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#208 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#209 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#210 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#211 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#212 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#213 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#214 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#215 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#216 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#217 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#218 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#219 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#220 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#221 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#222 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#223 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#224 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#225 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#226 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#227 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#228 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#229 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#230 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#231 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#232 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317 csarofeen#233 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943 csarofeen#234 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#235 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#236 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#237 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#238 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#239 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#240 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#241 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#242 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#243 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#244 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#245 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#246 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#247 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#248 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#249 0x3ffa2e05447 in call_function Python/ceval.c:5891 csarofeen#250 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#251 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#252 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#253 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#254 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#255 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#256 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#257 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215 0x61000013d790 is located 80 bytes inside of 192-byte region [0x61000013d740,0x61000013d800) freed by thread T0 here: #0 0x3ffa3237de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x3ff8e7e3221 in c10::TensorImpl::~TensorImpl() /home/user/pytorch/c10/core/TensorImpl.cpp:75 previously allocated by thread T0 here: #0 0x3ffa323734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 #1 0x3ff4aeeb3d1 in c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_null_type<c10::TensorImpl> > c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_nul l_type<c10::TensorImpl> >::make<c10::intrusive_ptr<c10::StorageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >, c10::DispatchKeySet&, caffe2::TypeMeta&>(c10::intrusive_ptr<c10::S torageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >&&, c10::DispatchKeySet&, caffe2::TypeMeta&) /home/user/pytorch/c10/util/intrusive_ptr.h:498 csarofeen#2 0x3ff76f79e17 (/home/user/pytorch/build/lib.linux-s390x-cpython-310/torch/lib/libtorch_cpu.so+0x2fb79e17) SUMMARY: AddressSanitizer: heap-use-after-free /home/user/pytorch/c10/core/SymInt.h:154 in c10::SymInt::is_heap_allocated() const Shadow bytes around the buggy address: 0x100c2000027aa0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd 0x100c2000027ab0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027ac0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd 0x100c2000027ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd =>0x100c2000027af0: fd fd[fd]fd fd fd fd fd fd fd fd fd fd fd fd fd 0x100c2000027b00: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00 0x100c2000027b10: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x100c2000027b20: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00 0x100c2000027b30: 00 00 00 00 04 fa fa fa fa fa fa fa fa fa fa fa 0x100c2000027b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa Shadow byte legend (one shadow byte represents 8 application bytes): Addressable: 00 Partially addressable: 01 02 03 04 05 06 07 Heap left redzone: fa Freed heap region: fd Stack left redzone: f1 Stack mid redzone: f2 Stack right redzone: f3 Stack after return: f5 Stack use after scope: f8 Global redzone: f9 Global init order: f6 Poisoned by user: f7 Container overflow: fc Array cookie: ac Intra object redzone: bb ASan internal: fe Left alloca redzone: ca Right alloca redzone: cb Shadow gap: cc ==1115867==ABORTING ``` </details> <details> <summary>Additional backtraces (not full)</summary> Memory deallocation: ``` #0 operator delete (ptr=0x61000013d740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75 csarofeen#2 0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291 csarofeen#3 0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370 csarofeen#4 0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80 csarofeen#5 0x000003ff63e85ee0 in at::Tensor::~Tensor (this=0x3ffd7ec8230) at aten/src/ATen/core/TensorBody.h:90 csarofeen#6 0x000003ff63f67304 in resize__functionalization (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/aten/src/ATen/FunctionalizeFallbackKernel.cpp:173 csarofeen#7 0x000003ff63f89258 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) ( this=0x6030000390a0, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#8 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (functor=0x6030000390a0, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#9 0x000003ff6aca560a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > ( unboxed_kernel_func=0x3ff63f88a80 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>, functor=0x6030000390a0, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#10 0x000003ff6aca715c in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1b28, opHandle=..., dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:96 csarofeen#11 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff919400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#12 0x000003ff6a82006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff919a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#13 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 csarofeen#14 0x000003ff861d5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#15 0x000003ff861b579e in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:401 ``` Memory access: ``` #0 c10::SymInt::maybe_as_int (this=0x61000013d790) at /home/user/pytorch/c10/core/SymInt.h:215 #1 0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69 csarofeen#2 0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177 csarofeen#3 0x000003ff5f6aaede in std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1162 csarofeen#4 0x000003ff5f6aae4c in std::__equal_aux1<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1211 csarofeen#5 0x000003ff5f6aae06 in std::__equal_aux<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1219 csarofeen#6 0x000003ff5f6aad98 in std::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1556 csarofeen#7 0x000003ff2ff3c772 in c10::ArrayRef<c10::SymInt>::equals (this=0x3ffed7c9900, RHS=...) at /home/user/pytorch/c10/util/ArrayRef.h:188 csarofeen#8 0x000003ff31891bc2 in c10::operator!=<c10::SymInt> (a1=..., a2=...) at /home/user/pytorch/c10/util/ArrayRef.h:341 csarofeen#9 0x000003ff51eb5800 in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:408 csarofeen#10 0x000003ff51ee59c8 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c 10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (this=0x6030007dca40, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13 csarofeen#11 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt >, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional< c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480 csarofeen#12 0x000003ff369a512a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > ( unboxed_kernel_func=0x3ff51ee51f0 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::Ar rayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKern el*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>, functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50 csarofeen#13 0x000003ff369a6e90 in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1bc8, opHandle=..., dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90 csarofeen#14 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::Arr ayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff5d6400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656 csarofeen#15 0x000003ff3652006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const ( this=0x3ff5d6a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492 csarofeen#16 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144 csarofeen#17 0x000003ff51ed5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847 csarofeen#18 0x000003ff51ebbb68 in torch::autograd::VariableType::(anonymous namespace)::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:243 ``` </details> Pull Request resolved: pytorch#101064 Approved by: https://github.com/Skylion007, https://github.com/albanD

arguments() returns vector member of object returned by schema() call. When object returned by schema() call is destroyed, the vector is deallocated as well, it's lifetime isn't extended. This issue detected while running `pytest -v test/mobile/test_lite_script_type.py -k test_nest_typing_namedtuple_custom_classtype` with ASAN. <details> <summary>ASAN output</summary> ``` ==1134126==ERROR: AddressSanitizer: heap-use-after-free on address 0x60d0005a5790 at pc 0x03ff844488d8 bp 0x03fff584afe8 sp 0x03fff584afd8 READ of size 8 at 0x60d0005a5790 thread T0 #0 0x3ff844488d7 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&) /usr/lib/gcc/s390x-i bm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028 #1 0x3ff8444293f in std::vector<c10::Argument, std::allocator<c10::Argument> >::begin() const /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_vector.h:821 csarofeen#2 0x3ff84d807d1 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:617 csarofeen#3 0x3ff84d80305 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 csarofeen#4 0x3ff84856871 in pybind11::detail::type_caster<c10::IValue, void>::cast(c10::IValue, pybind11::return_value_policy, pybind11::handle) /home/user/pytorch/torch/csrc/jit/python/pybind.h:138 csarofeen#5 0x3ff85318191 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is _method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const /home/user/pytorch/cmake/../third_party/pybin d11/include/pybind11/pybind11.h:249 csarofeen#6 0x3ff85317cfd in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is _method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) /home/user/pytorch/cmake/../third_party/pybind11/incl ude/pybind11/pybind11.h:224 csarofeen#7 0x3ff82ee52e9 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929 csarofeen#8 0x3ffab002903 in cfunction_call Objects/methodobject.c:543 csarofeen#9 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#10 0x3ffaaf8e919 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#11 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#12 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#13 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#14 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#15 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#16 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#17 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#18 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#19 0x3ffaaf8a615 in _PyObject_FastCallDictTstate Objects/call.c:142 csarofeen#20 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#21 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#22 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#23 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#24 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#25 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#26 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#27 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#28 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#29 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#30 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#31 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#32 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#33 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#34 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#35 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#36 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#37 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#38 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#39 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#40 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#41 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#42 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#43 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#44 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#45 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#46 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#47 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#48 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#49 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#50 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#51 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#52 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#53 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#54 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#55 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#56 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#57 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#58 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#59 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#60 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#61 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#62 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#63 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#64 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#65 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#66 0x3ffaaf8ab9b in PyVectorcall_Call Objects/call.c:267 csarofeen#67 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#68 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#69 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#70 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#71 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#72 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#73 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#74 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#75 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#76 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#77 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#78 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#79 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#80 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#81 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#82 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#83 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#84 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#85 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#86 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#87 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#88 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198 csarofeen#89 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#90 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#91 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#92 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#93 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#94 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#95 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#96 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#97 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#98 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#99 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#100 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#101 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#102 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#103 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#104 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#105 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#106 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#107 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#108 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#109 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#110 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#111 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#112 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#113 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#114 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#115 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#116 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#117 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#118 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#119 0x3ffaaf8ad17 in _PyObject_Call Objects/call.c:305 csarofeen#120 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#121 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#122 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#123 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#124 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#125 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#126 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#127 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#128 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#129 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#130 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#131 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#132 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#133 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#134 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#135 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#136 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#137 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#138 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#139 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#140 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#141 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#142 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#143 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#144 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#145 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#146 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#147 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#148 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#149 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#150 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#151 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#152 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#153 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#154 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#155 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#156 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#157 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#158 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#159 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#160 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#161 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#162 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#163 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#164 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#165 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#166 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#167 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#168 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#169 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#170 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#171 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#172 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#173 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#174 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#175 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#176 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#177 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#178 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#179 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#180 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#181 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#182 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#183 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#184 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#185 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#186 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#187 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#188 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#189 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#190 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#191 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#192 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#193 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#194 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#195 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#196 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#197 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#198 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#199 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#200 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 csarofeen#201 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317 csarofeen#202 0x3ffab1059c7 in do_call_core Python/ceval.c:5943 csarofeen#203 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277 csarofeen#204 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#205 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#206 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#207 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#208 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#209 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#210 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#211 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#212 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#213 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#214 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#215 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53 csarofeen#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#217 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#218 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#219 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181 csarofeen#220 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#221 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#222 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#223 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153 csarofeen#224 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431 csarofeen#225 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494 csarofeen#226 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215 csarofeen#227 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112 csarofeen#228 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#229 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#230 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231 csarofeen#231 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#232 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#233 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#234 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#235 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#236 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#237 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#238 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#239 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#240 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#241 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114 csarofeen#242 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123 csarofeen#243 0x3ffab105447 in call_function Python/ceval.c:5891 csarofeen#244 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213 csarofeen#245 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46 csarofeen#246 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065 csarofeen#247 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342 csarofeen#248 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255 csarofeen#249 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290 0x60d0005a5790 is located 80 bytes inside of 136-byte region [0x60d0005a5740,0x60d0005a57c8) freed by thread T0 here: #0 0x3ffab537de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x3ff55984fdb in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate(std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>*, unsigned long) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145 previously allocated by thread T0 here: #0 0x3ffab53734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 #1 0x3ff5598443f in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate(unsigned long, void const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127 csarofeen#2 0x3fff5849ecf ([stack]+0xb2ecf) SUMMARY: AddressSanitizer: heap-use-after-free /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&) Shadow bytes around the buggy address: 0x100c1a000b4aa0: fd fd fd fd fd fd fd fd fd fd fd fa fa fa fa fa 0x100c1a000b4ab0: fa fa fa fa fd fd fd fd fd fd fd fd fd fd fd fd 0x100c1a000b4ac0: fd fd fd fd fd fa fa fa fa fa fa fa fa fa fd fd 0x100c1a000b4ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fa 0x100c1a000b4ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd =>0x100c1a000b4af0: fd fd[fd]fd fd fd fd fd fd fa fa fa fa fa fa fa 0x100c1a000b4b00: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b10: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b20: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b30: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa 0x100c1a000b4b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa Shadow byte legend (one shadow byte represents 8 application bytes): Addressable: 00 Partially addressable: 01 02 03 04 05 06 07 Heap left redzone: fa Freed heap region: fd Stack left redzone: f1 Stack mid redzone: f2 Stack right redzone: f3 Stack after return: f5 Stack use after scope: f8 Global redzone: f9 Global init order: f6 Poisoned by user: f7 Container overflow: fc Array cookie: ac Intra object redzone: bb ASan internal: fe Left alloca redzone: ca Right alloca redzone: cb Shadow gap: cc ==1134126==ABORTING ``` Additional backtraces (not full): Allocation: ``` #0 __memset_z196 () at ../sysdeps/s390/memset-z900.S:144 #1 0x000003ff96f3072a in __asan::Allocator::Allocate (this=this@entry=0x3ff97041eb8 <__asan::instance>, size=size@entry=136, alignment=8, alignment@entry=0, stack=<optimized out>, stack@entry=0x3ffdbb45d78, alloc_type=<optimized out>, can_fill=true) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:599 csarofeen#2 0x000003ff96f2c088 in __asan::asan_memalign (alignment=alignment@entry=0, size=size@entry=136, stack=stack@entry=0x3ffdbb45d78, alloc_type=alloc_type@entry=__asan::FROM_NEW) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:1039 csarofeen#3 0x000003ff96fb73b0 in operator new (size=136) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99 csarofeen#4 0x000003ff41404440 in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate (this=0x3ffdbb468c0, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127 csarofeen#5 0x000003ff414042a0 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::allocate (__a=..., __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:464 csarofeen#6 0x000003ff41403b66 in std::__allocate_guarded<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > > (__a=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:98 csarofeen#7 0x000003ff4140372a in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47888, __p=@0x3ffdbb47880: 0x0, __a=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:648 csarofeen#8 0x000003ff41403328 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1342 csarofeen#9 0x000003ff41402f06 in std::shared_ptr<c10::FunctionSchema>::shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > ( this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:409 csarofeen#10 0x000003ff41402b6e in std::allocate_shared<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__a=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:862 csarofeen#11 0x000003ff4140215c in std::make_shared<c10::FunctionSchema, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:878 csarofeen#12 0x000003ff413d180c in c10::TupleType::createWithSpec<c10::basic_string_view<char> > (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...}, field_defaults=std::vector of length 0, capacity 0) at /home/user/pytorch/aten/src/ATen/core/type.cpp:769 csarofeen#13 0x000003ff413b9ca6 in c10::TupleType::createNamed (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...}) at /home/user/pytorch/aten/src/ATen/core/type.cpp:725 csarofeen#14 0x000003ff4115fbac in c10::ivalue::TupleTypeFactory<c10::TupleType>::fallback (type=...) at /home/user/pytorch/aten/src/ATen/core/dynamic_type.cpp:383 csarofeen#15 0x000003ff708217fe in c10::ivalue::Tuple::type<c10::TupleType> (this=0x6080004b8520) at /home/user/pytorch/aten/src/ATen/core/ivalue_inl.h:781 csarofeen#16 0x000003ff70800740 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 csarofeen#17 0x000003ff70800306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 csarofeen#18 0x000003ff702d6872 in pybind11::detail::type_caster<c10::IValue, void>::cast (src=...) at /home/user/pytorch/torch/csrc/jit/python/pybind.h:138 csarofeen#19 0x000003ff70d98192 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const (this=0x3ffdbb4ca20, call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:249 csarofeen#20 0x000003ff70d97cfe in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) (call=...) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:224 csarofeen#21 0x000003ff6e9652ea in pybind11::cpp_function::dispatcher (self=<PyCapsule at remote 0x3ff83e27720>, args_in=(<torch._C.LiteScriptModule at remote 0x3ff811844b0>, (<Tensor at remote 0x3ff814efb00>,)), kwargs_in=0x0) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929 ``` Deallocation: ``` #0 operator delete (ptr=0x60d0005a5740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160 #1 0x000003ff44904fdc in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate (this=0x3ffc5dc8020, __p=0x60d0005a5740, __t=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145 csarofeen#2 0x000003ff44904fa8 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::deallocate ( __a=..., __p=0x60d0005a5740, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:496 csarofeen#3 0x000003ff449041f2 in std::__allocated_ptr<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::~__allocated_ptr ( this=0x3ffc5dc8030) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:74 csarofeen#4 0x000003ff44904888 in std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>::_M_destroy (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:538 csarofeen#5 0x000003ff43895a62 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:184 csarofeen#6 0x000003ff43895420 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x611000c40648) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705 csarofeen#7 0x000003ff4466e7f4 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154 csarofeen#8 0x000003ff4466d820 in std::shared_ptr<c10::FunctionSchema>::~shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122 csarofeen#9 0x000003ff448d82f6 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 csarofeen#10 0x000003ff448d8346 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142 csarofeen#11 0x000003ff731296a4 in std::_Sp_counted_ptr<c10::TupleType*, (__gnu_cxx::_Lock_policy)2>::_M_dispose (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:348 csarofeen#12 0x000003ff71eaf666 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:168 csarofeen#13 0x000003ff71eaf330 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x3ffc5dc9368) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705 csarofeen#14 0x000003ff73129ee4 in std::__shared_ptr<c10::TupleType, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154 csarofeen#15 0x000003ff73122390 in std::shared_ptr<c10::TupleType>::~shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122 csarofeen#16 0x000003ff73d00788 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613 csarofeen#17 0x000003ff73d00306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604 ``` </details> Pull Request resolved: pytorch#101400 Approved by: https://github.com/zou3519

xwang233 and others added 30 commits April 30, 2020 10:12

Add overloads of std:: math functions for c10::complex [resubmit] (py…

c5624e8

…torch#37468) Summary: This reverts commit d167a7f. Pull Request resolved: pytorch#37468 Differential Revision: D21305110 Pulled By: anjali411 fbshipit-source-id: d1bdc9d9feac00331fc2b2b905d49f80bef680f9

[TensorBoard] Fixes missing doc for add_graph (pytorch#37504)

149b468

Summary: Fixes pytorch#37415 Pull Request resolved: pytorch#37504 Differential Revision: D21305979 Pulled By: natalialunova fbshipit-source-id: 0606a39a6006a236a37a0e6df87959736474547f

Add support for reductions on CPU in tensorexpr (pytorch#37333)

20ba29d

Summary: Pull Request resolved: pytorch#37333 Differential Revision: D21290289 Pulled By: resistor fbshipit-source-id: ebba11f7af9e22b48c47e2eefb9497fa77acd17d

[TensorPipe/RPC] Add TensorPipe dependency (pytorch#36695)

8a30553

Summary: Pull Request resolved: pytorch#36695 Reviewed By: lw Differential Revision: D21312297 Pulled By: beauby fbshipit-source-id: 39fdc3de91efa4ac97dd169f09fb304b273b0050

Fix cpp_ext build dir create permission (pytorch#34239)

1301384

Summary: Fixes pytorch#34238 Pull Request resolved: pytorch#34239 Differential Revision: D21328036 Pulled By: soumith fbshipit-source-id: dac2735383b1a689139af5a23f61ccbebd1fd6c1

[doc] improve tensor.view doc (pytorch#36728)

2c33ea1

Summary: fix inaccurate formula. advertise `reshape` better. Pull Request resolved: pytorch#36728 Differential Revision: D21094139 Pulled By: zou3519 fbshipit-source-id: 966ce5b84938b384584489040d2f132fee295bb4

Skip c2 ref onnx model tests (pytorch#37591)

1aedc2c

Summary: Pull Request resolved: pytorch#37591 skip the tests since gluster is gone. Test Plan: ci Reviewed By: ezyang Differential Revision: D21330359 fbshipit-source-id: a4e158fb72eddb08ba49fcfa9541569a150f8481

Revert D21326386: [pytorch][PR] [Reland] Implement cusparse Descripto…

6f8838c

…r class and clean up cusparse code Test Plan: revert-hammer Differential Revision: D21326386 Original commit changeset: f34875865c8b fbshipit-source-id: 7b173ddc9c6f9d8d496e2bf3cd80bc9b85bda50a

[quant] QNNPACK Add deconvolution parameters (pytorch#36716)

e841bea

Summary: Pull Request resolved: pytorch#36716 Test Plan: Imported from OSS Differential Revision: D21110112 Pulled By: z-a-f fbshipit-source-id: 4b62e1bb3c3b6a3276bc5f8ee5ead0f513ec0137

Updating submodules

20f5d44

Summary: GitHub commits: facebook/fbthrift@a253b97 facebook/rocksdb@6504ae0 pytorch/FBGEMM@e6a4c5a Test Plan: n/a Reviewed By: yns88 fbshipit-source-id: 267d7c60012547549ce2750c4f6c5bd16024fdfa

[quant] quantized reflection_pad1d (pytorch#37452)

a09cb5f

Summary: Pull Request resolved: pytorch#37452 Test Plan: Imported from OSS Differential Revision: D21286659 Pulled By: z-a-f fbshipit-source-id: f9f4de497a790b296149313562d09f8ead5facee

Move cauchy_() to DistributionTemplates (pytorch#37602)

5ab36ec

Summary: Pull Request resolved: pytorch#37602 Fixes pytorch#37371 Test Plan: Imported from OSS Differential Revision: D21334739 Pulled By: pbelevich fbshipit-source-id: b8443c14760ec825da3f7d300ad496578170671f

Eliminate warnings for cpp extensions on Windows (pytorch#37400)

7c4bda7

Summary: Improve the readability of the logs. Pull Request resolved: pytorch#37400 Differential Revision: D21302597 Pulled By: ezyang fbshipit-source-id: b8cbd33f95b6839ad4c6930bed8750c9b5a2ef7a

[JIT] Adds a code_with_constants method to module printing (pytorch…

91e74fd

…#37586) Summary: Closes pytorch#36625 Pull Request resolved: pytorch#37586 Differential Revision: D21331385 Pulled By: suo fbshipit-source-id: 752e63eac8bdd06c6719efb972cdc832ad7c1535

add slope == 0 case into standard leaky relu nn test (pytorch#37559)

0692804

Summary: Pull Request resolved: pytorch#37559 Test Plan: Imported from OSS Differential Revision: D21319922 Pulled By: glaringlee fbshipit-source-id: 212ef8e9d0f0d55a312d282693cd5990e0376c6a

Adding symbolic sizes, contiguity, stride indices (pytorch#36101)

4ed790d

Summary: Pull Request resolved: pytorch#36101 Reviewed By: jamesr66a Differential Revision: D20908711 Pulled By: Krovatkin fbshipit-source-id: f90ce74acffeb645d7d906d07e293164d65ed7e6

BowenBao and others added 17 commits May 6, 2020 22:35

[Fakelowp] Open source fake fp16 FC ops (pytorch#37923)

9143d7f

Summary: Pull Request resolved: pytorch#37923 ATT. Previously we missed this one. Test Plan: unittests Reviewed By: hyuen Differential Revision: D21426190 fbshipit-source-id: de85892a50a4b4820386e0f0d6adc34d12b33788

Fix splitWithTail to insert the tail immediately after the outer loop. (

65260d4

pytorch#37941) Summary: Pull Request resolved: pytorch#37941 Differential Revision: D21429733 Pulled By: resistor fbshipit-source-id: 12094d990c11da8b44f32a52aa5e50b3f3575145

Migrate CUDA where, tril, triu to c10::complex (pytorch#37896)

30fc58c

Summary: Pull Request resolved: pytorch#37896 Test Plan: Imported from OSS Differential Revision: D21442150 Pulled By: anjali411 fbshipit-source-id: b80ff801572a61f76dd25f94726a2a6334a89f3b

Add support for non-persistent buffers. (pytorch#37191)

594b33e

Summary: Issue: pytorch#18056 Pull Request resolved: pytorch#37191 Differential Revision: D21428373 Pulled By: albanD fbshipit-source-id: a7d367bafb95137e1bc380178b82b08eff5d5a5a

Acquire GIL when constructing/destructing ConcretePyObjectHolder (pyt…

ee1ddce

…orch#37870) Summary: Pull Request resolved: pytorch#37870 Test Plan: Imported from OSS Differential Revision: D21410785 fbshipit-source-id: 374d5f40fbdfec98262aa4c84ec4ccdc40fb2ac1

Move resize logic for bmm from codegen to native code. (pytorch#37955)

b2cc992

Summary: Pull Request resolved: pytorch#37955 Test Plan: Imported from OSS Differential Revision: D21433213 Pulled By: gchanan fbshipit-source-id: 421c566471279b53348bc77e738af13a1f3e1f9e

[TensorPipe] Update submodule (pytorch#38013)

ffed9dc

Summary: Pull Request resolved: pytorch#38013 Reviewed By: mrshenli Differential Revision: D21450029 Pulled By: lw fbshipit-source-id: 9e449af76d9e232a8c800981db421c4f390c49b2

[BE] Add @skipIfNoFBGEMM decorator (Reland) (pytorch#37894)

2b41b9b

Summary: Pull Request resolved: pytorch#37894 Differential Revision: D21449993 Pulled By: malfet fbshipit-source-id: d9d355d360384cbb158f62b40dc885527f22ee05

jjsjann123 requested review from kevinstephano, tlemo and csarofeen May 7, 2020 17:04

kevinstephano approved these changes May 7, 2020

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jjsjann123 merged commit 305444a into master May 7, 2020

jjsjann123 deleted the bump_master branch May 7, 2020 17:34

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