pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_log10_backend_inductor_numerics_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…
GitHub stats
pytorch/pytorch#180042Fetched 2026-04-11 06:09:18
View on GitHub
Comments
1
Participants
2
Timeline
96
Reactions
0
Author
Timeline (top)
mentioned ×44subscribed ×44labeled ×7commented ×1

Root Cause

This test was disabled because it is failing on main branch (recent examples).

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 @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 can likely be addressed by investigating and resolving the issues causing the failures in the test_eager_equivalence_log10_backend_inductor_numerics_cuda_float32 test case.

Guidance

  • Investigate the recent failures on torch-ci.com to understand the specific errors or exceptions being encountered.
  • Review the test case test_eager_equivalence_log10_backend_inductor_numerics_cuda_float32 in test_torchinductor_opinfo_properties.py to identify potential issues with the test or the underlying implementation.
  • Consider re-enabling the test and running it locally to reproduce and debug the issue.
  • Check for any platform-specific issues related to the rocm platform that might be contributing to the test failures.

Notes

The provided information does not include specific error messages or stack traces, making it difficult to provide a more targeted solution. Additional details about the failures would be necessary to offer a more precise fix.

Recommendation

Apply workaround: Given the lack of specific details about the failures, it's recommended to apply a workaround by re-enabling the test, reproducing the issue locally, and debugging it to identify the root cause.

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING

pytorch - 💡(How to fix) Fix DISABLED test_eager_equivalence_log10_backend_inductor_numerics_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]