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Merged
merged 74 commits into from
Sep 3, 2018
Merged

Merge from upstream #167

merged 74 commits into from
Sep 3, 2018

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Contains our latest PR that landed

jerryzh168 and others added 30 commits August 30, 2018 11:25
Summary:
Pull Request resolved: pytorch#10826

Add strides, and make sure the strides are consistent with sizes, and is_contiguous, for all the Caffe2 functions.

is_contiguous means strides_[dim-1] = 1 and strides_[i] = strides_[i+1] * max(size_[i+1], 1);

Reviewed By: ezyang

Differential Revision: D9354480

fbshipit-source-id: 3643871b70f1111b7ffdd9fdd9fe9bec82635963
Summary:
I've had `torch/lib/python3.6` show up as part of the build for some time now. It's not ignored which means I need to be extra careful about checking in files, or I end up with a thousand of them in my index.
Pull Request resolved: pytorch#11083

Differential Revision: D9580453

Pulled By: apaszke

fbshipit-source-id: 369e4fe87962696532d111b24f2a4a99b9572bf2
Summary:
Also add single grad whitelist to the jit test
Pull Request resolved: pytorch#10782

Reviewed By: ezyang

Differential Revision: D9583378

Pulled By: erikbrinkman

fbshipit-source-id: 069e5ae68ea7f3524dec39cf1d5fe9cd53941944
Summary:
The warnings are erroneous as far as i can see,
so tweak things to avoid. The (unsigned int) cast is
to avoid passing -1 to a size_t time.  This was triggered
in gcc8's lto build only, giving:

  caffe2/aten/src/TH/generic/THTensor.cpp: In function ‘THFloatTensor_squeeze1d’:
  lto1: error: ‘__builtin_memset’ specified size 18446744073709551608
  exceeds maximum object size 9223372036854775807 [-Werror=stringop-overflow=]
  In function ‘newImpl’,
    inlined from ‘operator new’ at common/memory/OperatorOverride.cpp:86:23,
    inlined from ‘allocate’ at third-party-buck/platform007/build/libgcc/include/c++/7.3.0/ext/new_allocator.h:111:0,
    inlined from ‘allocate’ at third-party-buck/platform007/build/libgcc/include/c++/7.3.0/bits/alloc_traits.h:436:0,
    inlined from ‘_M_allocate’ at third-party-buck/platform007/build/libgcc/include/c++/7.3.0/bits/stl_vector.h:172:0,
    inlined from ‘_M_default_append’ at third-party-buck/platform007/build/libgcc/include/c++/7.3.0/bits/vector.tcc:571:0,
    inlined from ‘resize’ at third-party-buck/platform007/build/libgcc/include/c++/7.3.0/bits/stl_vector.h:671:0,
    inlined from ‘THTensor_resizeDim’ at caffe2/aten/src/TH/THTensor.hpp:123:0,
    inlined from ‘THFloatTensor_squeeze1d.part.198’ at caffe2/aten/src/TH/generic/THTensor.cpp:429:0,
    inlined from ‘THFloatTensor_squeeze1d’:
  common/memory/OperatorOverride.cpp:86:23: error:
  argument 1 value ‘18446744073709551608’ exceeds maximum object size 9223372036854775807 [-Werror=alloc-size-larger-than=]
   void* ptr = malloc(size);

Reviewed By: soumith

Differential Revision: D9568621

fbshipit-source-id: 4569a4be897d669caa3f283f4b84ec829e8d77ad
Summary:
This PR creates a stream pool per issue pytorch#9646. When a new stream is requested, that device it's requested on lazily creates two pools, one low priority and one high priority, of 32 streams each. Streams are returned from these pools round-robin. That is, stream 0 is returned, then stream 1... then stream 31, then stream 0... This PR also takes the opportunity to clean up the stream API, reducing its complexity and verbosity.

Change notes:

- There are now 3 sets of streams per device, the default stream, the low priority streams, and the high priority streams. These streams live in lazily initialized pools and are destroyed on shutdown.
- All stream refcounting has been removed (the pools pattern replaces it).
- Setting a stream now sets it on its device. Streams are associated with a device and the previous
requirement to specify that device was unnecessary.
- There is no exposure for setting the flags on a stream. This may also seem like a regression but the flag was always set to cudaStreamNonBlocking.
- Streams are now low or high priority whereas previously the priority could be set with an integer. In practice, however, the range for priorities is -1 to 0 on the latest hardware. -1 is high priority, 0 is low priority (aka default priority). Low vs. high actually clarifies this behavior if people were trying finer separations. (E.g., if someone tried streams with priorities 0, 1, and 2, they would actually all have priority 0, historically, and the intended behavior would not be respected.)
- Unused THCStream and THCState stream-related functions were removed.
- A new test of pooling behavior was added in stream_test.

fyi: colesbury, apaszke, goldsborough
Pull Request resolved: pytorch#9938

Reviewed By: SsnL

Differential Revision: D9569036

Pulled By: ezyang

fbshipit-source-id: 12ed673fe373170d0cf4d65cb570de016c53ee7d
Summary:
We shouldn't reply on plain `dict` ordering. Example failure: https://ci.pytorch.org/jenkins/job/pytorch-builds/job/pytorch-linux-xenial-cuda8-cudnn6-py3-test1/8417/console
Pull Request resolved: pytorch#11092

Reviewed By: ezyang

Differential Revision: D9583274

Pulled By: SsnL

fbshipit-source-id: ba80b96648c98c24c2ec5fa6fd9aa566c095cce7
Summary:
Pull Request resolved: pytorch#11026

ezyang fixed a bug with moving or copying an intrusive_ptr into itself.
This diff adds test cases for it.

Reviewed By: ezyang

Differential Revision: D9563464

fbshipit-source-id: 3a3b3f681124730d2500b276c0135c3bba7875ae
Summary:
This was done because it surprising for a decorator to run a function
rather than wrap it, and not simplify the syntax for tracing modules.
Pull Request resolved: pytorch#11069

Reviewed By: jamesr66a

Differential Revision: D9583192

Pulled By: zdevito

fbshipit-source-id: b914b7ab4c73c255086465a6576eef3a22de1e13
Summary:
This is needed because the JIT declares some custom autograd functions.

colesbury
Pull Request resolved: pytorch#11082

Differential Revision: D9580456

Pulled By: apaszke

fbshipit-source-id: 6bf00c1188a20b2ee6ecf60e5a0099f8263ad55a
Summary:
Pull Request resolved: pytorch#10907

replace shared_ptr with intrusive_ptr in Storage

Reviewed By: ezyang

Differential Revision: D9414388

fbshipit-source-id: d413549ffde24959166d2dff2042b99f0c5018af
Summary:
I've been seeing a lot of warnings about multiple declarations of this. Hopefully this fixes it.

cc Yangqing mingzhe09088 ezyang
Pull Request resolved: pytorch#11045

Reviewed By: mingzhe09088

Differential Revision: D9582756

Pulled By: orionr

fbshipit-source-id: 6171485609a2f2f357d6e1c44e26b4ecfcdb4ce6
Summary:
ONNX v1.3.0 release

Pull Request resolved: pytorch#10961

Reviewed By: houseroad

Differential Revision: D9543998

Pulled By: bddppq

fbshipit-source-id: b7f0a0553d832d609d3b7613a608f7bf4a2582ef
Summary:
How did we get so many uses of `NULL` again?

ezyang
Pull Request resolved: pytorch#11047

Differential Revision: D9566799

Pulled By: goldsborough

fbshipit-source-id: 83469f352ac69aa65bdaf1a1a21f922d892e0db3
Summary:
Pull Request resolved: pytorch#11112

att

Reviewed By: ezyang

Differential Revision: D9474018

fbshipit-source-id: d9267e52e2d50dac7524a456a44f2e28b6c0b693
Summary:
Replace with "this->template f<T>()".

Fix pytorch#7881
Pull Request resolved: pytorch#10665

Differential Revision: D9597187

Pulled By: ezyang

fbshipit-source-id: 8af4e7efd98edadabb97e2523a58bd21bc116d1a
Summary:
update to the latest observer usage syntax
add an example of HistogramObservers

Reviewed By: jspark1105

Differential Revision: D6878439

fbshipit-source-id: c9521f2daecfc7f0c17de6a944dce58e568e3dbe
Summary: Pull Request resolved: pytorch#11120

Reviewed By: llyfacebook

Differential Revision: D9598430

Pulled By: sf-wind

fbshipit-source-id: 468f0ed7880339c9c4467d1cef29f5bc9fc80a2a
Summary:
Extracted from pytorch#8338

cc mingzhe09088
Pull Request resolved: pytorch#11034

Reviewed By: mingzhe09088

Differential Revision: D9582801

Pulled By: orionr

fbshipit-source-id: b41ca1bebf6cf62fff2a2b8caf4c94af3e43db00
Summary:
Operators like aten::chunk used to return a number of tensors, but
now return a list. To make it easier to do shape prop through
aten::chunk and fuse it, I've also introduced prim::ConstantChunk,
which behaves like the previous implementation (has a variable length
output list).

The downside of this PR is that the introduction of more lists to the IR causes the LSTM and MiLSTM graphs to be considered as non-differentiable by the graph executor. I verified that they are still optimize correctly, and my next patch (that changes how the specializations/differentiation works) will restore those.

zdevito
Pull Request resolved: pytorch#10949

Reviewed By: zdevito

Differential Revision: D9556823

Pulled By: apaszke

fbshipit-source-id: 33e63b17fc7247cac6cfc05eb7eb9bf069b499ee
Summary:
Pull Request resolved: pytorch#11077

getType now supports retrieving variable types, so make it clearer
when a getType function does NOT give you a variable type.

```
codemod -d . --extensions cc,cpp,cu,cuh,h getTypeOpt getNonVariableTypeOpt
```

Reviewed By: gchanan

Differential Revision: D9578398

fbshipit-source-id: 3ee502ac5c714849917f11ddc71de8eacfdaa9d3
Summary:
Pull Request resolved: pytorch#11078

```
codemod -d . --extensions cc,cpp,cu,cuh,h getTypeRaw getNonVariableTypeRaw
```

Reviewed By: gchanan, cpuhrsch

Differential Revision: D9578399

fbshipit-source-id: 00a86ae8fb00d14116762ce39d15858da9a1671e
Summary:
Pull Request resolved: pytorch#11080

- Add a new TensorOptions(Device, ScalarType) constructor,
  which serves roughly the same role as getType used to.
  We shouldn't get too wild with these constructors, but
  since this particular one was widely used by getType,
  it seems worth adding.
- Change DLPack DeviceType conversion to at::DeviceType,
  rather than at::Backend.  While I'm at, add a few more
  conversions that at::DeviceType understands.
- Add a new overload of from_blob which understands strides.

Reviewed By: gchanan, cpuhrsch

Differential Revision: D9578734

fbshipit-source-id: 28288ec053aae8765e23925ab91023398d632d6b
Summary: Pull Request resolved: pytorch#11087

Reviewed By: cpuhrsch

Differential Revision: D9581560

fbshipit-source-id: ebe3c4c0956da8a7215ada287bf6526dbcb2b07d
…rch#11095)

Summary:
Pull Request resolved: pytorch#11095

We used getType to mean a lot of things.

- getVariableTypeFromBaseType: given a base Type (non-Variable type)
  compute the Variable Type which corresponds to it.

- getVariableType: like at::getType, but return the Variable type
  rather than the plain type.

This rename makes it clearer at the use-site what things are what,
and will make a subsequent rename of at::getType easier.

Reviewed By: gchanan, cpuhrsch

Differential Revision: D9583630

fbshipit-source-id: 2667ec98e7607bc466920c7415a8c651fd56dfca
Summary:
Pull Request resolved: pytorch#11097

att

Reviewed By: ezyang

Differential Revision: D9549702

fbshipit-source-id: 058b942311b00be20a0b557ba97eb3451ea55e33
Summary:
**Review last commit only.** Stacked on top of pytorch#10949.

This commit fixes a number of issues connected to caching
differentiability status of graphs inside graph executors,
and changes the rules for optimization of differentiable subgraphs.
Previously every one of those was instantiated as a separate graph
executor, but now they are simply heavier-optimized graph regions,
and graph executors are only instantiated for their backward.

zdevito
Pull Request resolved: pytorch#10977

Differential Revision: D9600626

Pulled By: apaszke

fbshipit-source-id: dad09a0f586e396afbd5406319c1cd54fbb8a3d3
Summary:
Generate serialized test inputs/outputs/backward graphs of tests inside `caffe2/python/operator_test` that call assertSerializedOperatorCheck(). Tests should be decorated with serialized_test.collect_tests.given_and_seeded to run hypothesis tests that are actually random and a single fixed seeded hypothesis tests.

To use:
1. Refactor your test to be a SerializedTestCase
1a. Decorate it with given_and_seeded
1b. Call testWithArgs in main
2. Run your test with -g to generate the output. Check it in.
3. Subsequent runs of the test without generating the output will check against the checked in test case.

Details:
Run your test with `python caffe2/python/operator_test/[your_test].py -g`
Outputs are in `caffe2/python/serialized_test/data`. The operator tests outputs are in a further subdirectory `operator_test`, to allow for other tests in the future (model zoo tests?)

Currently, we've only refactored weighted_sum_test to use this, but in the next diff, we'll refactor as many as possible. The directory structure may also change as usually there are multiple tests in a single file, so we may create more structure to account for that.
Pull Request resolved: pytorch#10594

Reviewed By: ezyang

Differential Revision: D9370359

Pulled By: ajyu

fbshipit-source-id: 2ce77389cd8bcc0255d3bccd61569833e545ede8
…ytorch#11105)

Summary:
Pull Request resolved: pytorch#11105

Reverts: D9516972

See this discussion for context: https://fburl.com/w45hb1oc

Reviewed By: highker

Differential Revision: D9587931

fbshipit-source-id: 715247929d819dfa88e1d051021e51c5bf0c4835
Summary:
Pull Request resolved: pytorch#10993

as title

Reviewed By: chocjy

Differential Revision: D9554375

fbshipit-source-id: b88768f470ef7d023dd481c6a97b91594892f422
Summary:
Fixes pytorch#10839.

zdevito
Pull Request resolved: pytorch#11100

Differential Revision: D9585533

Pulled By: apaszke

fbshipit-source-id: 19e2710c8fc113f577faf14c080d8c89afbe23c4
cpuhrsch and others added 24 commits August 31, 2018 14:27
…_ptr::decref instead of _free (pytorch#11039)

Summary:
Codemod used for this

```
grep -rnw "THTensor_(free)" aten | grep -v Binary | cut -f 1 -d ":" | xargs -I {} sed -i "s/THTensor_(free)(\([^)]*\))/c10::raw::intrusive_ptr::decref(\1)/g" {}
```

```
grep -rnw "THTensor_(data)" aten | grep -v Binary | cut -f 1 -d ":" | xargs -I {} sed -i "s/THTensor_(data)(\([^)]*\))/\1->data<real>()/g" {}
```
Pull Request resolved: pytorch#11039

Reviewed By: ezyang

Differential Revision: D9617265

Pulled By: cpuhrsch

fbshipit-source-id: d9e7581867a335703f82f4556cead2b32b97bd83
Summary:
zdevito
Pull Request resolved: pytorch#11110

Differential Revision: D9616408

Pulled By: apaszke

fbshipit-source-id: f1ae77d698bf0ada32f2c1c3f587e46a4f57a867
Summary:
ATen's doc/ folder is manually maintained and can thus cause confusion with the generated file. We now have proper online documentation for ATen, which is superior to ATen doc/. Let's delete ATen/doc.

ezyang apaszke soumith
Pull Request resolved: pytorch#11158

Differential Revision: D9618782

Pulled By: goldsborough

fbshipit-source-id: 0ef14f84947601a0589aa4a41e5c8619783426fe
…c0898c (pytorch#11153)

Summary:
Pull Request resolved: pytorch#11153

Previous import was bae6333e149a59a3faa9c4d9c44974373dcf5256

Included changes:
- **[1b09eb1](onnx/onnx@1b09eb1)**: Fix the shape inference for concat (ROCm#1361) <Lu Fang>
- **[7b9b3ee](onnx/onnx@7b9b3ee)**: ONNX v1.3.0 release (ROCm#1359) <bddppq>

Reviewed By: Ac2zoom

Differential Revision: D9615844

fbshipit-source-id: f1d4e2d6ef72a269d6ab3c1c347b272b5bdc4f2a
Summary:
```
In file included from third-party-buck/gcc-5-glibc-2.23/build/pybind11/889256a/include/pybind11/cast.h:13:0,
                 from third-party-buck/gcc-5-glibc-2.23/build/pybind11/889256a/include/pybind11/attr.h:13,
                 from third-party-buck/gcc-5-glibc-2.23/build/pybind11/889256a/include/pybind11/pybind11.h:43,
                 from caffe2/torch/csrc/utils/pybind.h:6,
                 from caffe2/torch/csrc/jit/pybind.h:5,
                 from caffe2/torch/csrc/jit/script/init.h:3,
                 from caffe2/torch/csrc/jit/script/init.cpp:1:
third-party-buck/gcc-5-glibc-2.23/build/pybind11/889256a/include/pybind11/pytypes.h:118:19: note: declared here
In file included from caffe2/torch/csrc/jit/pybind.h:12:0,
                 from caffe2/torch/csrc/jit/python_ir.cpp:4:
caffe2/torch/csrc/jit/pybind_utils.h: In function 'torch::jit::IValue torch::jit::argumentToIValue(const torch::jit::FunctionSchema&, size_t, pybind11::handle)':
caffe2/torch/csrc/jit/pybind_utils.h:138:226: warning: 'pybind11::str pybind11::detail::object_api<Derived>::str() const [with Derived = pybind11::detail::accessor<pybind11::detail::accessor_policies::str_attr>]' is deprecated: Use py::str(obj) instead [-Wdeprecated-declarations]
```

apaszke zdevito ezyang
Pull Request resolved: pytorch#11107

Differential Revision: D9598040

Pulled By: goldsborough

fbshipit-source-id: 4a055353ac08d54a2bbca49573ff099310de3666
Summary:
Will need to be accessible by caffe2

This also removes a bunch of unnecessary includes.
Pull Request resolved: pytorch#11154

Reviewed By: ezyang

Differential Revision: D9618681

Pulled By: cpuhrsch

fbshipit-source-id: 838a87b75d9c3959e145fd5fca13b63bc5de7bd3
Summary:
This makes it so `detach` and `detach_` are traceable and also adds a pass to erase them before ONNX export
Pull Request resolved: pytorch#11038

Differential Revision: D9588038

Pulled By: jamesr66a

fbshipit-source-id: 263dd3147e24fcb0c716743f37fdb9f84c0015e7
Summary: Pull Request resolved: pytorch#11117

Reviewed By: MisterTea

Differential Revision: D9597870

Pulled By: houseroad

fbshipit-source-id: 3a2a307ee327397939bedb9150f780682e18a89a
….get_step() (pytorch#11164)

Summary:
Pull Request resolved: pytorch#11164

Revert D9566744

Reviewed By: enosair

Differential Revision: D9620272

fbshipit-source-id: 6a78c46929f66bd11969840cb6b107f734be0c02
Summary:
Pull Request resolved: pytorch#11049

Optimize WeightedSumOp for two inputs

Reviewed By: houseroad

Differential Revision: D9566692

fbshipit-source-id: 9aab1f02251d386b6f7d0699ae11eeb2ea2b5b4f
Summary:
Previously when we had a slicing expression like `x[0:5, 0]`, where the sliced tensor was of size `5` in dimension 0, we would skip dispatching the actual slice call as an optimization.

This caused incorrect behavior under tracing, as we would not record the slice op and thus if we encountered an input with a different shape while running the trace, we would get incorrect results.
Pull Request resolved: pytorch#11156

Differential Revision: D9622252

Pulled By: jamesr66a

fbshipit-source-id: 822f2e8f01504e131f53bd9ef51c171c7913a7cc
Summary:
Now, folder having spaces will not error out for `torch.utils.cpp_extensionload(name="xxx", sources=["xxx.cpp"], verbose=True)` calls.
Pull Request resolved: pytorch#11146

Differential Revision: D9618838

Pulled By: soumith

fbshipit-source-id: 63fb49bfddc0998dccd8a33a6935543b1a6c2def
Summary:
cc goldsborough
Pull Request resolved: pytorch#11090

Reviewed By: soumith

Differential Revision: D9582525

Pulled By: apaszke

fbshipit-source-id: 5d2c6e930e7b09f0ed5a35fbf4fe36b8845a2580
Summary: Pull Request resolved: pytorch#11177

Reviewed By: soumith

Differential Revision: D9626443

Pulled By: SsnL

fbshipit-source-id: e75d893e1e91e49d3e7b021892434489d8df7987
Summary: Pull Request resolved: pytorch#11014

Reviewed By: cpuhrsch

Differential Revision: D9561802

fbshipit-source-id: d3dbe6d7e76e2419ead81fb448711f101daee19f
Summary:
This places all constants in the entry block of the graph, and de-duplicates them.
Pull Request resolved: pytorch#10231

Differential Revision: D9601501

Pulled By: resistor

fbshipit-source-id: daa10ed8c99e9894830d6f3e5d65c8d3ab5ea899
Summary:
Fixes pytorch#10237 pytorch#11084

cc vishwakftw
Pull Request resolved: pytorch#11091

Differential Revision: D9582859

Pulled By: SsnL

fbshipit-source-id: 3991c0a2af65ba82fa815b82f9e6b2107912fd10
Summary:
Should resolve pytorch#9981.
Pull Request resolved: pytorch#10296

Differential Revision: D9196353

Pulled By: soumith

fbshipit-source-id: 109b6da42b7240cdbc7a0586745c735bce5e1279
Summary: Pull Request resolved: pytorch#11179

Differential Revision: D9627502

Pulled By: soumith

fbshipit-source-id: c7a4aa8be24bd8c688a7c655ff25ca901ed19704
…10893)

Summary:
* improve docker packages (install OpenBLAS to have at-compile-time LAPACK functionality w/ optimizations for both Intel and AMD CPUs)
* integrate rocFFT (i.e., enable Fourier functionality)
* fix bugs in ROCm caused by wrong warp size
* enable more test sets, skip the tests that don't work on ROCm yet
* don't disable asserts any longer in hipification
* small improvements
Pull Request resolved: pytorch#10893

Differential Revision: D9615053

Pulled By: ezyang

fbshipit-source-id: 864b4d27bf089421f7dfd8065e5017f9ea2f7b3b
Summary:
- Modify torch.autograd.gradcheck to use torch.allclose instead
- Expose doc strings

Closes pytorch#10355
Pull Request resolved: pytorch#11185

Differential Revision: D9628016

Pulled By: soumith

fbshipit-source-id: 22a30622b9fe52e41b5b3540406137b59d8c5a75
Summary:
Fixes pytorch#11033
Pull Request resolved: pytorch#11053

Differential Revision: D9573606

Pulled By: soumith

fbshipit-source-id: 9729cbd6c8afcef0fd487bdd425b0d1f55189009
…rch#11114)

Summary:
Remove or use CAFFE2_EXPORT.
Fix pytorch#11108
Pull Request resolved: pytorch#11114

Differential Revision: D9628293

Pulled By: ezyang

fbshipit-source-id: dc3bb7dc5bc299e3b6cfd1cdd640f618c206fb5a
@iotamudelta iotamudelta requested a review from ezyang as a code owner September 2, 2018 22:03
@iotamudelta iotamudelta merged commit 59d1430 into ROCm:master Sep 3, 2018
lcskrishna pushed a commit to lcskrishna/pytorch that referenced this pull request May 15, 2023
When tensor is resized, reference array to it's sizes may become invalid. Make a copy in advance.

<details>
<summary>ASAN report</summary>

```
=================================================================
==1115867==ERROR: AddressSanitizer: heap-use-after-free on address 0x61000013d790 at pc 0x03ff8e7da360 bp 0x03fff53c83a0 sp 0x03fff53c8390
READ of size 8 at 0x61000013d790 thread T0
    #0 0x3ff8e7da35f in c10::SymInt::is_heap_allocated() const /home/user/pytorch/c10/core/SymInt.h:154
    ROCm#1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215
    ROCm#2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69
    ROCm#3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177
    ROCm#4 0x3ff7a9aaedd in bool std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-
v11/bits/stl_algobase.h:1162
    ROCm#5 0x3ff7a9aae4b in bool std::__equal_aux1<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/
stl_algobase.h:1211
    ROCm#6 0x3ff7a9aae05 in bool std::__equal_aux<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/s
tl_algobase.h:1219
    ROCm#7 0x3ff7a9aad97 in bool std::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_alg
obase.h:1556
    ROCm#8 0x3ff4b23c771 in c10::ArrayRef<c10::SymInt>::equals(c10::ArrayRef<c10::SymInt>) const /home/user/pytorch/c10/util/ArrayRef.h:188
    ROCm#9 0x3ff4cb91bc1 in bool c10::operator!=<c10::SymInt>(c10::ArrayRef<c10::SymInt>, c10::ArrayRef<c10::SymInt>) /home/user/pytorch/c10/util/ArrayRef.h:341
    ROCm#10 0x3ff6d1b57ff in torch::ADInplaceOrView::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/torch/csrc/autograd/Variab
leTypeManual.cpp:408
    ROCm#11 0x3ff6d1e59c7 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1
0::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>
> >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
    ROCm#12 0x3ff6d1e59c7 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10:
:ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::Sy
mInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::Disp
atchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
    ROCm#13 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*,
c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
    ROCm#14 0x3ff51ca6e8f in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D
ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
    ROCm#15 0x3ff51ca6e8f in at::Tensor const& c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Ten
sor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)
const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
    ROCm#16 0x3ff5182006b in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c
10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
    ROCm#17 0x3ff5182006b in at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2144
    ROCm#18 0x3ff6d1d5e07 in at::redispatch::resize__symint(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/RedispatchFunctions.h:2847
    ROCm#19 0x3ff6d1bbb67 in torch::autograd::VariableType::(anonymous namespace)::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pyto
rch/torch/csrc/autograd/VariableTypeManual.cpp:243
    ROCm#20 0x3ff6d1bd197 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1
0::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10
::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFu
nctionIntoFunctor.h:13
    ROCm#21 0x3ff6d1bd197 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10:
:ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor
 const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c
10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor
.h:480
    ROCm#22 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*,
c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
    ROCm#23 0x3ff5181ead1 in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D
ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
    ROCm#24 0x3ff5181ead1 in at::Tensor const& c10::Dispatcher::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor co
nst& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/at
en/src/ATen/core/dispatch/Dispatcher.h:639
    ROCm#25 0x3ff5181ead1 in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>,
c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487
    ROCm#26 0x3ff5181ead1 in at::_ops::resize_::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2137
    ROCm#27 0x3ff79b44fcf in at::Tensor::resize__symint(c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const aten/src/ATen/core/TensorBody.h:2452
    ROCm#28 0x3ff79a802db in torch::autograd::THPVariable_resize_(_object*, _object*, _object*)::$_0::operator()(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/us
er/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13417
    ROCm#29 0x3ff7999f1eb in torch::autograd::THPVariable_resize_(_object*, _object*, _object*) /home/user/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13419
    ROCm#30 0x3ffa2c9b009 in method_vectorcall_VARARGS_KEYWORDS Objects/descrobject.c:344
    ROCm#31 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#32 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#33 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#34 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
    ROCm#35 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#36 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#37 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#38 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#39 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#40 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
    ROCm#41 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
    ROCm#42 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#43 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#44 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#45 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#46 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#47 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#48 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
    ROCm#49 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
    ROCm#50 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#51 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#52 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#53 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#54 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#55 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#56 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#57 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
    ROCm#58 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#59 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#60 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#61 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#62 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#63 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#64 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#65 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#66 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#67 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
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    ROCm#69 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#70 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#71 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#72 0x3ffa2e05447 in call_function Python/ceval.c:5891
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    ROCm#158 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#159 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#160 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#161 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#162 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#163 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#164 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#165 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#166 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#167 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#168 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#169 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#170 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#171 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#172 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#173 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#174 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#175 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
    ROCm#176 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
    ROCm#177 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#178 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#179 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#180 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#181 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#182 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#183 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#184 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#185 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#186 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#187 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#188 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#189 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#190 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#191 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#192 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#193 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#194 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#195 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#196 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#197 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
    ROCm#198 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
    ROCm#199 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#200 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#201 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#202 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#203 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#204 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#205 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#206 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#207 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#208 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#209 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#210 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#211 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#212 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#213 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#214 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#215 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#216 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#217 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#218 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#219 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#220 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#221 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#222 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#223 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#224 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#225 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#226 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#227 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#228 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#229 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#230 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#231 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#232 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
    ROCm#233 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
    ROCm#234 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#235 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#236 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#237 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#238 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#239 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#240 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#241 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#242 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#243 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#244 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#245 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#246 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#247 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#248 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#249 0x3ffa2e05447 in call_function Python/ceval.c:5891
    ROCm#250 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#251 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#252 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#253 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#254 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#255 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#256 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#257 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215

0x61000013d790 is located 80 bytes inside of 192-byte region [0x61000013d740,0x61000013d800)
freed by thread T0 here:
    #0 0x3ffa3237de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
    ROCm#1 0x3ff8e7e3221 in c10::TensorImpl::~TensorImpl() /home/user/pytorch/c10/core/TensorImpl.cpp:75

previously allocated by thread T0 here:
    #0 0x3ffa323734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99
    ROCm#1 0x3ff4aeeb3d1 in c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_null_type<c10::TensorImpl> > c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_nul
l_type<c10::TensorImpl> >::make<c10::intrusive_ptr<c10::StorageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >, c10::DispatchKeySet&, caffe2::TypeMeta&>(c10::intrusive_ptr<c10::S
torageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >&&, c10::DispatchKeySet&, caffe2::TypeMeta&) /home/user/pytorch/c10/util/intrusive_ptr.h:498
    ROCm#2 0x3ff76f79e17  (/home/user/pytorch/build/lib.linux-s390x-cpython-310/torch/lib/libtorch_cpu.so+0x2fb79e17)

SUMMARY: AddressSanitizer: heap-use-after-free /home/user/pytorch/c10/core/SymInt.h:154 in c10::SymInt::is_heap_allocated() const
Shadow bytes around the buggy address:
  0x100c2000027aa0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
  0x100c2000027ab0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x100c2000027ac0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
  0x100c2000027ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x100c2000027ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
=>0x100c2000027af0: fd fd[fd]fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x100c2000027b00: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00
  0x100c2000027b10: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x100c2000027b20: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00
  0x100c2000027b30: 00 00 00 00 04 fa fa fa fa fa fa fa fa fa fa fa
  0x100c2000027b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
Shadow byte legend (one shadow byte represents 8 application bytes):
  Addressable:           00
  Partially addressable: 01 02 03 04 05 06 07
  Heap left redzone:       fa
  Freed heap region:       fd
  Stack left redzone:      f1
  Stack mid redzone:       f2
  Stack right redzone:     f3
  Stack after return:      f5
  Stack use after scope:   f8
  Global redzone:          f9
  Global init order:       f6
  Poisoned by user:        f7
  Container overflow:      fc
  Array cookie:            ac
  Intra object redzone:    bb
  ASan internal:           fe
  Left alloca redzone:     ca
  Right alloca redzone:    cb
  Shadow gap:              cc
==1115867==ABORTING
```
</details>

<details>
<summary>Additional backtraces (not full)</summary>

Memory deallocation:
```
#0  operator delete (ptr=0x61000013d740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
ROCm#1  0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75
ROCm#2  0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291
ROCm#3  0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370
ROCm#4  0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80
ROCm#5  0x000003ff63e85ee0 in at::Tensor::~Tensor (this=0x3ffd7ec8230) at aten/src/ATen/core/TensorBody.h:90
ROCm#6  0x000003ff63f67304 in resize__functionalization (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/aten/src/ATen/FunctionalizeFallbackKernel.cpp:173
ROCm#7  0x000003ff63f89258 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (
    this=0x6030000390a0, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
ROCm#8  c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (functor=0x6030000390a0, dispatchKeySet=..., args=..., args=...,
    args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
ROCm#9  0x000003ff6aca560a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > (
    unboxed_kernel_func=0x3ff63f88a80 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>, functor=0x6030000390a0,
    dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
ROCm#10 0x000003ff6aca715c in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1b28, opHandle=...,
    dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:96
ROCm#11 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
    this=0x3ff919400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
ROCm#12 0x000003ff6a82006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
    this=0x3ff919a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=...,
    args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
ROCm#13 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144
ROCm#14 0x000003ff861d5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847
ROCm#15 0x000003ff861b579e in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:401
```

Memory access:
```
#0  c10::SymInt::maybe_as_int (this=0x61000013d790) at /home/user/pytorch/c10/core/SymInt.h:215
ROCm#1  0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69
ROCm#2  0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177
ROCm#3  0x000003ff5f6aaede in std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1162
ROCm#4  0x000003ff5f6aae4c in std::__equal_aux1<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1211
ROCm#5  0x000003ff5f6aae06 in std::__equal_aux<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1219
ROCm#6  0x000003ff5f6aad98 in std::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1556
ROCm#7  0x000003ff2ff3c772 in c10::ArrayRef<c10::SymInt>::equals (this=0x3ffed7c9900, RHS=...) at /home/user/pytorch/c10/util/ArrayRef.h:188
ROCm#8  0x000003ff31891bc2 in c10::operator!=<c10::SymInt> (a1=..., a2=...) at /home/user/pytorch/c10/util/ArrayRef.h:341
ROCm#9  0x000003ff51eb5800 in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:408
ROCm#10 0x000003ff51ee59c8 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c
10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>
 > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (this=0x6030007dca40, args=..., args=..., args=..., args=...)
    at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
ROCm#11 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt
>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<
c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...)
    at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
ROCm#12 0x000003ff369a512a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (
    unboxed_kernel_func=0x3ff51ee51f0 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::Ar
rayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKern
el*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>, functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...)
    at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
ROCm#13 0x000003ff369a6e90 in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1bc8, opHandle=...,
    dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
ROCm#14 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::Arr
ayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
    this=0x3ff5d6400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
ROCm#15 0x000003ff3652006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&,
c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
    this=0x3ff5d6a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=...,
    args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
ROCm#16 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144
ROCm#17 0x000003ff51ed5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847
ROCm#18 0x000003ff51ebbb68 in torch::autograd::VariableType::(anonymous namespace)::resize_ (ks=..., self=..., size=..., optional_memory_format=...)
    at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:243
```
</details>
Pull Request resolved: pytorch#101064
Approved by: https://github.com/Skylion007, https://github.com/albanD
alugorey pushed a commit to alugorey/pytorch that referenced this pull request May 17, 2023
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
    #2 0x3ff84d807d1 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:617
    ROCm#3 0x3ff84d80305 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
    ROCm#4 0x3ff84856871 in pybind11::detail::type_caster<c10::IValue, void>::cast(c10::IValue, pybind11::return_value_policy, pybind11::handle) /home/user/pytorch/torch/csrc/jit/python/pybind.h:138
    ROCm#5 0x3ff85318191 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is
_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me
thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const /home/user/pytorch/cmake/../third_party/pybin
d11/include/pybind11/pybind11.h:249
    ROCm#6 0x3ff85317cfd in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is
_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me
thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) /home/user/pytorch/cmake/../third_party/pybind11/incl
ude/pybind11/pybind11.h:224
    ROCm#7 0x3ff82ee52e9 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929
    ROCm#8 0x3ffab002903 in cfunction_call Objects/methodobject.c:543
    ROCm#9 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#10 0x3ffaaf8e919 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#11 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#12 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#13 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#14 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#15 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#16 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#17 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#18 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#19 0x3ffaaf8a615 in _PyObject_FastCallDictTstate Objects/call.c:142
    ROCm#20 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#21 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#22 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#23 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#24 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#25 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#26 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#27 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#28 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#29 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#30 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#31 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#32 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#33 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#34 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#35 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#36 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#37 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#38 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#39 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#40 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#41 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#42 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
    ROCm#43 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#44 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#45 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#46 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#47 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#48 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#49 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#50 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#51 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#52 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#53 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#54 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#55 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#56 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#57 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#58 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#59 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#60 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#61 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#62 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#63 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#64 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#65 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#66 0x3ffaaf8ab9b in PyVectorcall_Call Objects/call.c:267
    ROCm#67 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#68 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#69 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#70 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#71 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#72 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#73 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#74 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#75 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#76 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#77 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#78 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#79 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#80 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#81 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#82 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#83 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#84 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#85 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#86 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#87 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#88 0x3ffab0ff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
    ROCm#89 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#90 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#91 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#92 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#93 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#94 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#95 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#96 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#97 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#98 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#99 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#100 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#101 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#102 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#103 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#104 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#105 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#106 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#107 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#108 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#109 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#110 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#111 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#112 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#113 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#114 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#115 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#116 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#117 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#118 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#119 0x3ffaaf8ad17 in _PyObject_Call Objects/call.c:305
    ROCm#120 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#121 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#122 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#123 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#124 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#125 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#126 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#127 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#128 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#129 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#130 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#131 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#132 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#133 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#134 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#135 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#136 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#137 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#138 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#139 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#140 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#141 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#142 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#143 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#144 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#145 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#146 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#147 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#148 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#149 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#150 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#151 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#152 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#153 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#154 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#155 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#156 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#157 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#158 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#159 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#160 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#161 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#162 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#163 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#164 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#165 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#166 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#167 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#168 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#169 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#170 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#171 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#172 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#173 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#174 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#175 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#176 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#177 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#178 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#179 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#180 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#181 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#182 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#183 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#184 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#185 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#186 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#187 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#188 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#189 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#190 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#191 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#192 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#193 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#194 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#195 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#196 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#197 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#198 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#199 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#200 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290
    ROCm#201 0x3ffaaf8ada9 in PyObject_Call Objects/call.c:317
    ROCm#202 0x3ffab1059c7 in do_call_core Python/ceval.c:5943
    ROCm#203 0x3ffab0ffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    ROCm#204 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#205 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#206 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#207 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#208 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#209 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#210 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#211 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#212 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#213 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#214 0x3ffaaf8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#215 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    ROCm#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#216 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#217 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#218 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#219 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    ROCm#220 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#221 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#222 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#223 0x3ffaaf8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
    ROCm#224 0x3ffaaf8b271 in _PyObject_Call_Prepend Objects/call.c:431
    ROCm#225 0x3ffab03f307 in slot_tp_call Objects/typeobject.c:7494
    ROCm#226 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    ROCm#227 0x3ffab0f0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    ROCm#228 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#229 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#230 0x3ffab0ffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
    ROCm#231 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#232 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#233 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#234 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#235 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#236 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#237 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#238 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#239 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#240 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#241 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    ROCm#242 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    ROCm#243 0x3ffab105447 in call_function Python/ceval.c:5891
    ROCm#244 0x3ffab0ff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
    ROCm#245 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    ROCm#246 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
    ROCm#247 0x3ffaaf8aec1 in _PyFunction_Vectorcall Objects/call.c:342
    ROCm#248 0x3ffaaf8ab15 in PyVectorcall_Call Objects/call.c:255
    ROCm#249 0x3ffaaf8ac65 in _PyObject_Call Objects/call.c:290

0x60d0005a5790 is located 80 bytes inside of 136-byte region [0x60d0005a5740,0x60d0005a57c8)
freed by thread T0 here:
    #0 0x3ffab537de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
    #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
    #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
#2  0x000003ff96f2c088 in __asan::asan_memalign (alignment=alignment@entry=0, size=size@entry=136, stack=stack@entry=0x3ffdbb45d78, alloc_type=alloc_type@entry=__asan::FROM_NEW)
    at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:1039
ROCm#3  0x000003ff96fb73b0 in operator new (size=136) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99
ROCm#4  0x000003ff41404440 in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate (this=0x3ffdbb468c0,
    __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127
ROCm#5  0x000003ff414042a0 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::allocate (__a=...,
    __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:464
ROCm#6  0x000003ff41403b66 in std::__allocate_guarded<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > > (__a=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:98
ROCm#7  0x000003ff4140372a in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47888, __p=@0x3ffdbb47880: 0x0, __a=..., __args=..., __args=..., __args=..., __args=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:648
ROCm#8  0x000003ff41403328 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1342
ROCm#9  0x000003ff41402f06 in std::shared_ptr<c10::FunctionSchema>::shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (
    this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:409
ROCm#10 0x000003ff41402b6e in std::allocate_shared<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__a=...,
    __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:862
ROCm#11 0x000003ff4140215c in std::make_shared<c10::FunctionSchema, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__args=..., __args=..., __args=..., __args=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:878
ROCm#12 0x000003ff413d180c in c10::TupleType::createWithSpec<c10::basic_string_view<char> > (qualName=..., field_names=std::vector of length 1, capacity 1 = {...},
    field_types=std::vector of length 1, capacity 1 = {...}, field_defaults=std::vector of length 0, capacity 0) at /home/user/pytorch/aten/src/ATen/core/type.cpp:769
ROCm#13 0x000003ff413b9ca6 in c10::TupleType::createNamed (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...})
    at /home/user/pytorch/aten/src/ATen/core/type.cpp:725
ROCm#14 0x000003ff4115fbac in c10::ivalue::TupleTypeFactory<c10::TupleType>::fallback (type=...) at /home/user/pytorch/aten/src/ATen/core/dynamic_type.cpp:383
ROCm#15 0x000003ff708217fe in c10::ivalue::Tuple::type<c10::TupleType> (this=0x6080004b8520) at /home/user/pytorch/aten/src/ATen/core/ivalue_inl.h:781
ROCm#16 0x000003ff70800740 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613
ROCm#17 0x000003ff70800306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
ROCm#18 0x000003ff702d6872 in pybind11::detail::type_caster<c10::IValue, void>::cast (src=...) at /home/user/pytorch/torch/csrc/jit/python/pybind.h:138
ROCm#19 0x000003ff70d98192 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const (this=0x3ffdbb4ca20, call=...)
    at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:249
ROCm#20 0x000003ff70d97cfe in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) (call=...)
    at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:224
ROCm#21 0x000003ff6e9652ea in pybind11::cpp_function::dispatcher (self=<PyCapsule at remote 0x3ff83e27720>,
    args_in=(<torch._C.LiteScriptModule at remote 0x3ff811844b0>, (<Tensor at remote 0x3ff814efb00>,)), kwargs_in=0x0) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929
```

Deallocation:
```
#0  operator delete (ptr=0x60d0005a5740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
#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
#2  0x000003ff44904fa8 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::deallocate (
    __a=..., __p=0x60d0005a5740, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:496
ROCm#3  0x000003ff449041f2 in std::__allocated_ptr<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::~__allocated_ptr (
    this=0x3ffc5dc8030) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:74
ROCm#4  0x000003ff44904888 in std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>::_M_destroy (this=0x60d0005a5740)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:538
ROCm#5  0x000003ff43895a62 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:184
ROCm#6  0x000003ff43895420 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x611000c40648) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705
ROCm#7  0x000003ff4466e7f4 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x611000c40640)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154
ROCm#8  0x000003ff4466d820 in std::shared_ptr<c10::FunctionSchema>::~shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122
ROCm#9  0x000003ff448d82f6 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142
ROCm#10 0x000003ff448d8346 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142
ROCm#11 0x000003ff731296a4 in std::_Sp_counted_ptr<c10::TupleType*, (__gnu_cxx::_Lock_policy)2>::_M_dispose (this=0x603000c43ae0)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:348
ROCm#12 0x000003ff71eaf666 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:168
ROCm#13 0x000003ff71eaf330 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x3ffc5dc9368) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705
ROCm#14 0x000003ff73129ee4 in std::__shared_ptr<c10::TupleType, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x3ffc5dc9360)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154
ROCm#15 0x000003ff73122390 in std::shared_ptr<c10::TupleType>::~shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122
ROCm#16 0x000003ff73d00788 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613
ROCm#17 0x000003ff73d00306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
```
</details>
Pull Request resolved: pytorch#101400
Approved by: https://github.com/zou3519
lcskrishna pushed a commit to lcskrishna/pytorch that referenced this pull request May 29, 2023
3 disabled functions are attempting out of bounds reads. Disable them until sleef library is fixed.

<details>
<summary>ASAN report</summary>

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

0x03ff70f54570 is located 0 bytes to the right of global variable 'Sleef_rempitabsp' defined in '/home/user/pytorch/third_party/sleef/src/libm/rempitab.c:986:34' (0x3ff70f53f00) of size 1648
SUMMARY: AddressSanitizer: global-buffer-overflow /home/user/pytorch/third_party/sleef/src/arch/helpers390x_128.h:129 in vgather_vf_p_vi2
Shadow bytes around the buggy address:
  0x10007fee1ea850: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea860: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea870: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea880: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea890: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
=>0x10007fee1ea8a0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00[f9]f9
  0x10007fee1ea8b0: f9 f9 f9 f9 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8c0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8d0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
Shadow byte legend (one shadow byte represents 8 application bytes):
  Addressable:           00
  Partially addressable: 01 02 03 04 05 06 07
  Heap left redzone:       fa
  Freed heap region:       fd
  Stack left redzone:      f1
  Stack mid redzone:       f2
  Stack right redzone:     f3
  Stack after return:      f5
  Stack use after scope:   f8
  Global redzone:          f9
  Global init order:       f6
  Poisoned by user:        f7
  Container overflow:      fc
  Array cookie:            ac
  Intra object redzone:    bb
  ASan internal:           fe
  Left alloca redzone:     ca
  Right alloca redzone:    cb
  Shadow gap:              cc
==2030580==ABORTING
```
</details>

It reproduces when running `pytest -v test/test_ops.py -k test_python_ref__refs_cos_cpu_bfloat16` under address sanitizer on s390x.

See also: shibatch/sleef#464

Pull Request resolved: pytorch#102266
Approved by: https://github.com/malfet
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