pytorch - 💡(How to fix) Fix DISABLED test_cow_input_nn_functional_linear_cross_entropy_cuda_float32 (__main__.TestCompositeComplianceCUDA) [1 comments, 1 participants]

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pytorch/pytorch#181685Fetched 2026-04-28 06:23:48
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Root Cause

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

RAW_BUFFERClick to expand / collapse

Platforms: inductor

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

Over the past 6 hours, it has been determined flaky in 9 workflow(s) with 18 failures and 9 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_cow_input_nn_functional_linear_cross_entropy_cuda_float32
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Test file path: test_ops.py

For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.

cc @chauhang @penguinwu

extent analysis

TL;DR

The test test_cow_input_nn_functional_linear_cross_entropy_cuda_float32 is failing intermittently and has been disabled, requiring investigation into the CI workflow logs to identify the cause.

Guidance

  • Investigate the workflow logs by following the provided debugging instructions to find relevant log snippets for the failed test.
  • Study the logs from multiple instances of the test run to identify patterns or common errors.
  • Check the test file test_ops.py for any potential issues or recent changes that could be contributing to the flakiness.
  • Review the list of disabled tests at https://hud.pytorch.org/disabled for any similar issues or patterns.

Notes

The intermittent nature of the failure and the fact that CI is green despite the test being flaky suggest that the issue may be related to the test environment or configuration rather than the code itself.

Recommendation

Apply workaround: Investigate and debug the test failure using the provided instructions, as the root cause is not immediately clear and may require further analysis.

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pytorch - 💡(How to fix) Fix DISABLED test_cow_input_nn_functional_linear_cross_entropy_cuda_float32 (__main__.TestCompositeComplianceCUDA) [1 comments, 1 participants]