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pytorch - ✅(Solved) Fix DISABLED test_unary_ufunc_numerical_expm1_backend_inductor_default_cuda_bfloat16 (__main__.TestOpInfoPropertiesCUDA) [2 pull requests, 1 comments, 2 participants]

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pytorch/pytorch#180062•Fetched 2026-04-11 06:08:45
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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).

PR fix notes

PR #180505: [UT][ROCm][inductor] ROCm-specific XFAILS list for torchinductor_opinfo_property

Description (problem / solution / changelog)

Fixes #180032 Fixes #180033 Fixes #180034 Fixes #180035 Fixes #180036 Fixes #180037 Fixes #180038 Fixes #180039 Fixes #180046 Fixes #180047 Fixes #180048 Fixes #180049 Fixes #180051 Fixes #180053 Fixes #180054 Fixes #180059 Fixes #180060 Fixes #180062 Fixes #180063 Fixes #180069 Fixes #179962

These tests were actually passing on ROCm, but because of the shared (CUDA+ROCm) XFAILED list, those ROCm passes were being turned into failures. This PR adds a ROCm-specific XFAILS list which is a subset of the CUDA XFAILS list.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @pragupta @jerrymannil @xinyazhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben

Changed files

  • test/inductor/test_torchinductor_opinfo_properties.py (modified, +65/-17)

PR #180687: [UT][ROCm][inductor] ROCm-specific XFAILS list for torchinductor_opinfo_property

Description (problem / solution / changelog)

Fixes #180032 Fixes #180033 Fixes #180034 Fixes #180035 Fixes #180036 Fixes #180037 Fixes #180038 Fixes #180039 Fixes #180046 Fixes #180047 Fixes #180048 Fixes #180049 Fixes #180051 Fixes #180053 Fixes #180054 Fixes #180059 Fixes #180060 Fixes #180062 Fixes #180063 Fixes #180069 Fixes #179962

These tests were actually passing on ROCm, but because of the shared (CUDA+ROCm) XFAILED list, those ROCm passes were being turned into failures. This PR adds a ROCm-specific XFAILS list which is a subset of the CUDA XFAILS list.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @pragupta @jerrymannil @xinyazhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben

Changed files

  • test/inductor/test_torchinductor_opinfo_properties.py (modified, +65/-17)
RAW_BUFFERClick to expand / collapse

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 issue with the test_unary_ufunc_numerical_expm1_backend_inductor_default_cuda_bfloat16 test case.

Guidance

  • Investigate the recent failures on torch-ci.com to understand the specific error messages and stack traces associated with the test failure.
  • Review the test_torchinductor_opinfo_properties.py file, particularly the TestOpInfoPropertiesCUDA class and the test_unary_ufunc_numerical_expm1_backend_inductor_default_cuda_bfloat16 test method, to identify potential issues with the test case.
  • Check the ROCm platform configuration and version to ensure compatibility with the test case.
  • Consider re-enabling the test and running it locally to reproduce the issue and gather more information.

Notes

The issue lacks specific technical details, so a more detailed analysis of the test case and the ROCm platform configuration is necessary to determine the root cause of the failure.

Recommendation

Apply workaround: Investigate and address the issue with the specific test case, as the problem seems to be related to a particular test rather than a general issue with the main branch.

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#tensor shape#autograd error#model save/load#optimization#mixed precision

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pytorch - ✅(Solved) Fix DISABLED test_unary_ufunc_numerical_expm1_backend_inductor_default_cuda_bfloat16 (__main__.TestOpInfoPropertiesCUDA) [2 pull requests, 1 comments, 2 participants]