pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_remainder_backend_inductor_numerics_cuda_bfloat16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#180051Fetched 2026-04-11 06:09:04
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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 @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @aakhundov @coconutruben

extent analysis

TL;DR

The test failure on the main branch for the test_torchinductor_opinfo_properties.py test may be resolved by investigating and addressing the issues related to the test_eager_equivalence_remainder_backend_inductor_numerics_cuda_bfloat16 test case.

Guidance

  • Investigate the recent examples of test failures on torch-ci.com to identify patterns or commonalities in the failures.
  • Review the test_torchinductor_opinfo_properties.py test file, specifically the test_eager_equivalence_remainder_backend_inductor_numerics_cuda_bfloat16 test case, to understand the test's purpose and potential failure points.
  • Consider reaching out to the listed maintainers and contributors for additional guidance or support, as they may have knowledge about the test or previous issues.

Notes

The provided information lacks specific technical details about the test failure, making it challenging to provide a more targeted solution.

Recommendation

Apply workaround: Investigate and address the test failure by reviewing the test case and recent failure examples, as there is no clear indication of a fixed version or straightforward solution.

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