DISABLED test_bmm_multithreaded (__main__.TestTorch)

[pytorch-bot]

Platforms: dynamo

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 2 workflow(s) with 2 failures and 2 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_bmm_multithreaded
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_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 173, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 515, in transform
    tracer.run()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2230, in run
    super().run()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 880, in run
    while self.step():
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 795, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 492, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1249, in CALL_FUNCTION
    self.call_function(fn, args, {})
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 735, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 90, in call_function
    return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 741, in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2411, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2527, in inline_call_
    tracer.run()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 880, in run
    while self.step():
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 795, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 492, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1249, in CALL_FUNCTION
    self.call_function(fn, args, {})
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 735, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/variables/iter.py", line 186, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/variables/base.py", line 294, in call_function
    unimplemented(f"call_function {self} {args} {kwargs}")
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/exc.py", line 212, in unimplemented
    raise Unsupported(msg)
torch._dynamo.exc.Unsupported: call_function ItertoolsVariable(<class 'itertools.permutations'>) [TupleVariable()] {}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "test_torch.py", line 10416, in test_bmm_multithreaded
    num_threads = torch.get_num_threads()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 977, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state, skip=1)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 818, in _convert_frame
    result = inner_convert(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert
    return _compile(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_utils_internal.py", line 70, in wrapper_function
    return function(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 700, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 568, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object
    transformations(instructions, code_options)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 189, in _fn
    assert (
AssertionError: Global num_threads state changed while dynamo tracing, please report a bug


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


To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_DYNAMO=1 python test_torch.py -k test_bmm_multithreaded

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: test_torch.py

cc @mruberry @ZainRizvi @clee2000 @ezyang @msaroufim @bdhirsh @anijain2305 @chauhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng

[pytorch-bot]

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_bmm_multithreaded (__main__.TestTorch)
• Platforms for which to skip the test: dynamo
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_bmm_multithreaded (__main__.TestTorch) will be disabled in PyTorch CI for these platforms: dynamo. 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.

[pytorch-bot]

Resolving the issue because the test is not flaky anymore after 900 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]

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

[pytorch-bot]

Resolving the issue because the test is not flaky anymore after 750 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