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pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_log_backend_inductor_numerics_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#180067•Fetched 2026-04-11 06:08:36
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Author
praguptapragupta
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praguptapraguptapytorch-bot[bot]pytorch-bot[bot]
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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

The test failure on the main branch may be resolved by investigating and addressing the issues in the test_torchinductor_opinfo_properties.py test, specifically the test_unary_ufunc_numerical_log_backend_inductor_numerics_cuda_float16 test case.

Guidance

  • Review the recent failure examples on torch-ci.com to understand the nature of the test failures.
  • Investigate the test_unary_ufunc_numerical_log_backend_inductor_numerics_cuda_float16 test case in test_torchinductor_opinfo_properties.py to identify potential issues.
  • Check the CUDA and ROCm configurations to ensure they are compatible and correctly set up.
  • Consider re-enabling the test and running it locally to gather more information about the failure.

Notes

The issue lacks specific technical details, so a more detailed analysis cannot be provided.

Recommendation

Apply workaround: Re-enable the test and run it locally to gather more information about the failure, as this may help identify the root cause of the issue.

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pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_log_backend_inductor_numerics_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]