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pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_rsqrt_backend_inductor_numerics_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

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pytorch/pytorch#179940•Fetched 2026-04-11 06:11:38
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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 test_unary_ufunc_numerical_rsqrt_backend_inductor_numerics_cuda_float32 in test_torchinductor_opinfo_properties.py needs to be investigated and fixed to resolve the failure on the main branch.

Guidance

  • Investigate the recent failures on torch-ci.com to understand the root cause of the test failure.
  • Check the test case test_unary_ufunc_numerical_rsqrt_backend_inductor_numerics_cuda_float32 in test_torchinductor_opinfo_properties.py for any potential issues or bugs.
  • Verify that the test is correctly configured to run on the ROCm platform.
  • Reach out to the listed maintainers and experts for additional guidance and support.

Notes

The issue lacks specific technical details, so a more detailed analysis of the test case and the failures on torch-ci.com is necessary to provide a more accurate fix.

Recommendation

Apply workaround: Investigate and fix the test case, as the issue seems to be related to a specific test failure rather than a broader compatibility problem.

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pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_rsqrt_backend_inductor_numerics_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]