pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_log_backend_inductor_numerics_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#180044Fetched 2026-04-11 06:09:14
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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_log_backend_inductor_numerics_cuda_float16 test case.

Guidance

  • Investigate the recent failures on torch-ci.com to identify the root cause of the test failure.
  • Review the test_torchinductor_opinfo_properties.py test file, specifically the TestOpInfoPropertiesCUDA class and the test_eager_equivalence_log_backend_inductor_numerics_cuda_float16 test case, to understand the test logic and potential failure points.
  • Collaborate with the mentioned individuals, including @jeffdaily, @sunway513, and @ROCmSupport, to gather more information and expertise on the issue.

Notes

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

Recommendation

Apply workaround: Investigate and address the test failure by collaborating with the mentioned individuals and reviewing the test code, as the root cause of the issue is not clearly stated.

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pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_log_backend_inductor_numerics_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]