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DISABLED test__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cuda (__main__.TestLinalgCUDA) #126495

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pytorch-bot bot opened this issue May 17, 2024 · 1 comment
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module: flaky-tests Problem is a flaky test in CI module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: rocm AMD GPU support for Pytorch 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 May 17, 2024

Platforms: 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 3 workflow(s) with 3 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__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cuda
  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 "test_linalg.py", line 5848, in test__int_mm
    _test(17, k, n, use_transpose_a, use_transpose_b, True)
  File "test_linalg.py", line 5830, in _test
    self.assertEqual(c_int32.float(), torch.mm(a_float, b_float))
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py", line 3639, in assertEqual
    raise error_metas.pop()[0].to_error(
AssertionError: Tensor-likes are not close!

Mismatched elements: 0 / 544 (0.0%)
Greatest absolute difference: 0.0 at index (0, 0) (up to 1e-05 allowed)
Greatest relative difference: 0.0 at index (0, 0) (up to 1.3e-06 allowed)

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py -k TestLinalgCUDA.test__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cuda

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: test_linalg.py

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @clee2000 @jianyuh @nikitaved @pearu @mruberry @walterddr @xwang233 @lezcano

@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: rocm AMD GPU support for Pytorch 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 May 17, 2024
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pytorch-bot bot commented May 17, 2024

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__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cuda (__main__.TestLinalgCUDA)
  • Platforms for which to skip the test: rocm
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cuda (__main__.TestLinalgCUDA) will be disabled in PyTorch CI for these platforms: 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.

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Labels
module: flaky-tests Problem is a flaky test in CI module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: rocm AMD GPU support for Pytorch 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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