8000 DISABLED test_comprehensive_nanquantile_cuda_float32 (__main__.TestInductorOpInfoCUDA) · Issue #139593 · pytorch/pytorch · GitHub
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DISABLED test_comprehensive_nanquantile_cuda_float32 (__main__.TestInductorOpInfoCUDA) #139593

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pytorch-bot bot opened this issue Nov 4, 2024 · 5 comments
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DISABLED test_comprehensive_nanquantile_cuda_float32 (__main__.TestInductorOpInfoCUDA) #139593

pytorch-bot bot opened this issue Nov 4, 2024 · 5 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 4, 2024 •
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Platforms: linux, inductor

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 3 workflow(s) with 4 failures and 3 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_nanquantile_cuda_float32
  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_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1152, in test_wrapper
    return test(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1434, in only_fn
    return fn(self, *args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2194, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1229, in dep_fn
    return fn(slf, *args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1587, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1523, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
    return func(*newargs, **newkeywargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, 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_3.10/lib/python3.10/contextlib.py", line 79, 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 557, in check_model
    actual_grad = compute_grads(example_inputs, kwargs, actual, grads)
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 344, in compute_grads
    return torch.autograd.grad(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 496, in grad
    result = _engine_run_backward(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 825, in _engine_run_backward
    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 307, in apply
    return user_fn(self, *args)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 1705, in backward
    return impl_fn()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 1695, in impl_fn
    out = CompiledFunction._backward_impl(ctx, all_args)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2006, in _backward_impl
    CompiledFunction.compiled_bw = aot_config.bw_compiler(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 51, in _wrapped_bw_compiler
    return disable(disable(bw_compiler)(*args, **kwargs))
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 721, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 95, in wrapper_function
    return function(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1650, in bw_compiler
    return inner_compile(
  File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 744, in _compile_fx_inner
    compiled_graph = FxGraph
8000
Cache.load(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1502, in load
    compiled_graph = compile_fx_fn(
  File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 2034, in compile_to_fn
    return self.compile_to_module().call
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 1955, in compile_to_module
    return self._compile_to_module()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 1988, in _compile_to_module
    mod = PyCodeCache.load_by_key_path(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 3021, in load_by_key_path
    mod = _reload_python_module(key, path)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/compile_tasks.py", line 45, in _reload_python_module
    exec(code, mod.__dict__, mod.__dict__)
  File "/tmp/tmpxe5day7x/qs/cqsb3o2s7flhpafbr5rdabijyhgomhs6rhbvnw4p3w2irmyjvw7l.py", line 170, in <module>
    async_compile.wait(globals())
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/async_compile.py", line 308, in wait
    scope[key] = result.result()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 3500, in result
    self.kernel.precompile()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/triton_heuristics.py", line 264, in precompile
    compiled_binary, launcher = self._precompile_config(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/triton_heuristics.py", line 479, 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_3.10/lib/python3.10/inspect.py", line 1121, in getsourcelines
    lines, lnum = findsource(object)
  File "/opt/conda/envs/py_3.10/lib/python3.10/inspect.py", line 958, in findsource
    raise OSError('could not get source code')
OSError: could not get source code

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

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3052, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3052, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 460, in instantiated_test
    result = test(self, **param_kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1587, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/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 25: SampleInput(input=Tensor[size=(3, 2, 1, 2), device="cuda:0", dtype=torch.float32], args=(0.5), kwargs={'dim': '0', 'keepdim': 'True', 'interpolation': "'midpoint'"}, broadcasts_input=False, name='')

To execute this test, run the following from the base repo dir:
    PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=25 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nanquantile_cuda_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: inductor/test_torchinductor_opinfo.py

cc @clee2000 @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov
@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: inductor 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 labels Nov 4, 2024
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pytorch-bot bot commented Nov 4, 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_nanquantile_cuda_float32 (__main__.TestInductorOpInfoCUDA)
  • Platforms for which to skip the test: inductor, linux
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test_comprehensive_nanquantile_cuda_float32 (__main__.TestInductorOpInfoCUDA) will be disabled in PyTorch CI for these platforms: inductor, linux. 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 #139593 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.

@masnesral masnesral self-assigned this Nov 16, 2024
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pytorch-bot bot commented Dec 2, 2024

Resolving the issue because the test is not flaky anymore after 1200 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 Dec 2, 2024
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pytorch-bot bot commented Apr 28, 2025

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

@pytorch-bot pytorch-bot bot reopened this Apr 28, 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, linux] 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 15, 2025

Resolving the issue because the test is not flaky anymore after 1100 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 15, 2025
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