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pytorch - 💡(How to fix) Fix DISABLED test_jvp_two_tensors_has_aux (__main__.FuncTorchHigherOrderOpTestsWithCompiledAutograd) [2 comments, 1 participants]

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pytorch/pytorch#180324•Fetched 2026-04-16 06:35:31
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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: linux, slow

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 19 workflow(s) with 38 failures and 19 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_jvp_two_tensors_has_aux
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Test file path: inductor/test_compiled_autograd.py

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

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben @jataylo

extent analysis

TL;DR

The test test_jvp_two_tensors_has_aux in inductor/test_compiled_autograd.py is likely failing due to flakiness and needs to be investigated and debugged.

Guidance

  • Investigate the workflow logs by following the provided debugging instructions to identify the cause of the flakiness.
  • Study the logs for test_jvp_two_tensors_has_aux to understand the failure patterns and potential issues.
  • Review the test code in inductor/test_compiled_autograd.py to ensure it is correctly implemented and not prone to flakiness.
  • Consider re-enabling the test and running it locally to reproduce the issue and gather more information.

Example

No code snippet is provided as the issue does not contain specific code-related information.

Notes

The issue lacks specific technical details, and the cause of the flakiness is unknown. Further investigation is required to determine the root cause and develop a fix.

Recommendation

Apply workaround: Investigate and debug the test to identify the cause of the flakiness, as the issue is likely related to the test implementation or environment rather than a version-specific problem.

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