pytorch - 💡(How to fix) Fix DISABLED test_binary_ufunc_numerical_remainder_backend_inductor_default_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#180035Fetched 2026-04-11 06:09:31
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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 for test_torchinductor_opinfo_properties.py may be resolved by investigating and addressing the issues related to the test_binary_ufunc_numerical_remainder_backend_inductor_default_cuda_float16 test case.

Guidance

  • Review the recent failure examples provided in the link to understand the nature of the test failures.
  • Investigate the test_binary_ufunc_numerical_remainder_backend_inductor_default_cuda_float16 test case to identify potential issues with the numerical remainder operation or the inductor backend.
  • Check the compatibility and configuration of the ROCm platform and CUDA float16 data type used in the test.
  • Consider re-enabling the test and running it with additional logging or debugging to gather more information about the failure.

Notes

  • The issue seems to be specific to the ROCm platform and the CUDA float16 data type, so any solution may need to take these factors into account.
  • Without more information about the test failure, it's difficult to provide a more specific fix.

Recommendation

  • Apply workaround: Temporarily skip or modify the failing test case until a more permanent solution can be found, as the test was disabled due to consistent failures on the main branch.

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