8000 DISABLED test_comprehensive_nansum_cuda_float64 (__main__.TestInductorOpInfoCUDA) · Issue #139710 · pytorch/pytorch · GitHub
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py 8000 torch-bot bot opened this issue Nov 5, 2024 · 11 comments
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DISABLED test_comprehensive_nansum_cuda_float64 (__main__.TestInductorOpInfoCUDA) #139710

pytorch-bot bot opened this issue Nov 5, 2024 · 11 comments
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module: flaky-tests Problem is a flaky test in CI module: inductor oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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pytorch-bot bot commented Nov 5, 2024 •
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Platforms: inductor, rocm

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 3 hours, it has been determined flaky in 5 workflow(s) with 5 failures and 5 successes.

Debugging instructions (after clicking on the recent samples link):
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:

  1. Click on the workflow logs linked above
  2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
  3. Grep for test_comprehensive_nansum_cuda_float64
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.
Sample error message 
Traceback (most recent call last):
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1152, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1434, in only_fn
    return fn(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 2194, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 1587, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 1523, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/unittest/mock.py", line 1395, in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/contextlib.py", line 81, in inner
    return func(*args, **kwds)
           ^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 955, in inner
    raise e
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 947, in inner
    fn(self, device, dtype, op)
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1193, in test_comprehensive
    raise e
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1153, in test_comprehensive
    self.check_model_gpu(
  File "/opt/conda/envs/py_3.12/lib/python3.12/contextlib.py", line 81, in inner
    return func(*args, **kwds)
           ^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 606, in check_model_gpu
    check_model(
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 447, in check_model
    actual = run(*example_inputs, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py", line 556, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 1446, in __call__
    return self._torchdynamo_orig_callable(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 549, in __call__
    return _compile(
           ^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 982, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 708, in compile_inner
    return _compile_inner(code, one_graph, hooks, transform)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/t
8000
orch/_utils_internal.py", line 95, in wrapper_function
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 743, in _compile_inner
    out_code = transform_code_object(code, transform)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/bytecode_transformation.py", line 1348, in transform_code_object
    transformations(instructions, code_options)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 233, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", line 662, in transform
    tracer.run()
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py", line 2909, in run
    super().run()
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py", line 1115, in run
    while self.step():
          ^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py", line 1027, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py", line 3100, in RETURN_VALUE
    self._return(inst)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/symbolic_convert.py", line 3085, in _return
    self.output.compile_subgraph(
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/output_graph.py", line 1140, in compile_subgraph
    self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/output_graph.py", line 1411, in compile_and_call_fx_graph
    compiled_fn = self.call_user_compiler(gm)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/output_graph.py", line 1460, in call_user_compiler
    return self._call_user_compiler(gm)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/output_graph.py", line 1509, in _call_user_compiler
    raise BackendCompilerFailed(self.compiler_fn, e).with_traceback(
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/output_graph.py", line 1490, in _call_user_compiler
    compiled_fn = compiler_fn(gm, self.example_inputs())
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/repro/after_dynamo.py", line 130, in __call__
    compiled_gm = compiler_fn(gm, example_inputs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/repro/after_dynamo.py", line 130, in __call__
    compiled_gm = compiler_fn(gm, example_inputs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 439, in compile_fx_wrapper
    return compile_fx(model_, example_inputs_)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1707, in compile_fx
    return aot_autograd(
           ^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/backends/common.py", line 72, in __call__
    cg = aot_module_simplified(gm, example_inputs, **self.kwargs)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py", line 1103, in aot_module_simplified
    compiled_fn = dispatch_and_compile()
                  ^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py", line 1079, in dispatch_and_compile
    compiled_fn, _ = create_aot_dispatcher_function(
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py", line 527, in create_aot_dispatcher_function
    return _create_aot_dispatcher_function(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py", line 778, in _create_aot_dispatcher_function
    compiled_fn, fw_metadata = compiler_fn(
                               ^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 640, in aot_dispatch_autograd
    compiled_fw_func = aot_config.fw_compiler(fw_module, adjusted_flat_args)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1524, in fw_compiler_base
    return _fw_compiler_base(model, example_inputs, is_inference)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1593, in _fw_compiler_base
    return inner_compile(
           ^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 587, in compile_fx_inner
    return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/repro/after_aot.py", line 100, in debug_wrapper
    inner_compiled_fn = compiler_fn(gm, example_inputs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 744, in _compile_fx_inner
    compiled_graph = FxGraphCache.load(
                     ^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/codecache.py", line 1507, in load
    compiled_graph = compile_fx_fn(
                     ^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 651, in codegen_and_compile
    compiled_graph = fx_codegen_and_compile(gm, example_inputs, **fx_kwargs)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 962, in fx_codegen_and_compile
    compiled_fn = graph.compile_to_fn()
                  ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/graph.py", line 2036, in compile_to_fn
    return self.compile_to_module().call
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/graph.py", line 1955, in compile_to_module
    return self._compile_to_module()
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/graph.py", line 1990, in _compile_to_module
    mod = PyCodeCache.load_by_key_path(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/codecache.py", line 3030, in load_by_key_path
    mod = _reload_python_module(key, path)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/runtime/compile_tasks.py", line 45, in _reload_python_module
    exec(code, mod.__dict__, mod.__dict__)
  File "/tmp/tmpwanracvu/ew/cewshutc6huakofvy7dxghdnnun6zqpp4cb6ah6qvdgzifntayg3.py", line 120, in <module>
    async_compile.wait(globals())
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/async_compile.py", line 312, in wait
    scope[key] = result.result()
                 ^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/codecache.py", line 3509, in result
    self.kernel.precompile()
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/runtime/triton_heuristics.py", line 274, in precompile
    compiled_binary, launcher = self._precompile_config(
                                ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/runtime/triton_heuristics.py", line 489, in _precompile_config
    binary = triton.compile(*compile_args, **compile_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/triton/python/triton/compiler/compiler.py", line 276, in compile
    module = src.make_ir(options, codegen_fns, context)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/triton/python/triton/compiler/compiler.py", line 113, in make_ir
    return ast_to_ttir(self.fn, self, context=context, options=options, codegen_fns=codegen_fns)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/inspect.py", line 1267, in getsourcelines
    lines, lnum = findsource(object)
                  ^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/inspect.py", line 1096, in findsource
    raise OSError('could not get source code')
torch._dynamo.exc.BackendCompilerFailed: backend='compile_fx_wrapper' raised:
OSError: could not get source code

Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information


You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True


The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 3052, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 3052, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 460, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 1587, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1164, in test_wrapper
    raise e_tracked from e
Exception: Caused by sample input at index 4: SampleInput(input=Tensor[size=(), device="cuda:0", dtype=torch.float64], args=(), kwargs={'dim': '()', 'keepdim': 'False'}, broadcasts_input=False, name='')

To execute this test, run the following from the base repo dir:
    PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=4 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nansum_cuda_float64

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: inductor/test_torchinductor_opinfo.py

cc @clee2000 @ezyang @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @aakhundov
@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: inductor oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. labels Nov 5, 2024
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pytorch-bot bot commented Nov 5, 2024 •
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Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:
  • Test name: test_comprehensive_nansum_cuda_float64 (__main__.TestInductorOpInfoCUDA)
  • Platforms for which to skip the test: inductor, rocm
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test_comprehensive_nansum_cuda_float64 (__main__.TestInductorOpInfoCUDA) will be disabled in PyTorch CI for these platforms: inductor, rocm. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.

How to re-enable a test

To re-enable the test globally, close the issue. To re-enable a test for only a subset of platforms, remove the platforms from the list in the issue body. This may take some time to propagate. To re-enable a test only for a PR, put Fixes #139710 in the PR body and rerun the test jobs. Note that if a test is flaky, it maybe be difficult to tell if the test is still flaky on the PR.

@bdhirsh bdhirsh added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Nov 8, 2024
@masnesral masnesral self-assigned this Nov 12, 2024
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pytorch-bot bot commented Nov 12, 2024

Another case of trunk flakiness has been found here. The list of platforms [inductor] does not appear to contain all the recently affected platforms [rocm]. Adding [rocm].

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pytorch-bot bot commented Nov 26, 2024

Resolving the issue because the test is not flaky anymore after 400 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive

@pytorch-bot pytorch-bot bot closed this as completed Nov 26, 2024
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pytorch-bot bot commented Apr 29, 2025

Another case of trunk flakiness has been found here. Reopening issue. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor].

@pytorch-bot pytorch-bot bot reopened this Apr 29, 2025
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pytorch-bot bot commented Apr 29, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented Apr 29, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented Apr 29, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented Apr 30, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented Apr 30, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [ 8000 inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented May 2, 2025

Another case of trunk flakiness has been found here. The list of platforms [inductor, rocm] appears to contain all the recently affected platforms [inductor]. Either the change didn't propogate fast enough or disable bot might be broken.

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pytorch-bot bot commented May 13, 2025

Resolving the issue because the test is not flaky anymore after 600 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive

@pytorch-bot pytorch-bot bot closed this as completed May 13, 2025
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