pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_exp_backend_inductor_default_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#180061Fetched 2026-04-11 06:08:46
View on GitHub
Comments
1
Participants
2
Timeline
24
Reactions
0
Author
Timeline (top)
mentioned ×10subscribed ×10labeled ×3commented ×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

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 case.

Guidance

  • Review the recent failure examples on torch-ci.com to understand the specific test case (test_unary_ufunc_numerical_exp_backend_inductor_default_cuda_float32) that is causing the failure.
  • Investigate the test_torchinductor_opinfo_properties.py test case to identify potential issues with the TestOpInfoPropertiesCUDA class.
  • Check the test environment and configuration to ensure that the ROCm platform is properly set up and compatible with the test case.
  • 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 of the test case and environment is necessary to determine the root cause of the failure.

Recommendation

Apply workaround: Investigate and address the issues in the test_torchinductor_opinfo_properties.py test case, as it is likely that the test failure is due to a specific issue with this test case rather than a broader problem with the ROCm platform.

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_unary_ufunc_numerical_exp_backend_inductor_default_cuda_float32 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]