pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_rsqrt_backend_inductor_numerics_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#180056Fetched 2026-04-11 06:08:56
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Root Cause

This test was disabled because it is failing on main branch (recent examples).

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Platforms: rocm

This test was disabled because it is failing on main branch (recent examples).

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @jerrymannil @xinyazhang @mruberry @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @aakhundov @coconutruben

extent analysis

TL;DR

  • Re-enable and re-run the disabled test test_torchinductor_opinfo_properties.py to assess if the failure persists on the main branch.

Guidance

  • Investigate the recent examples of test failures on torch-ci.com to identify patterns or commonalities among the failures.
  • Review the test case test_eager_equivalence_rsqrt_backend_inductor_numerics_cuda_float32 in test_torchinductor_opinfo_properties.py to understand its requirements and potential points of failure.
  • Consider reaching out to the listed contributors for additional insight or assistance, as they may have knowledge about the test or the platform (rocm) that could be beneficial in resolving the issue.

Notes

  • The issue seems to be specific to the rocm platform and a particular test case, which may indicate a platform-specific problem or a test-specific issue.
  • Without more detailed information about the failures (e.g., error messages, stack traces), it's challenging to provide a more targeted fix or workaround.

Recommendation

  • Apply workaround: Temporarily skip or fix the failing test to allow the main branch to proceed, with the understanding that the root cause of the test failure needs to be addressed separately to ensure the stability and correctness of the codebase.

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