pytorch - 💡(How to fix) Fix DISABLED test_generic_fp32_precision_propagates_to_cudnn_conv_rnn (__main__.TestFP32PrecisionFlags) [3 comments, 1 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#182021Fetched 2026-05-01 05:32:47
View on GitHub
Comments
3
Participants
1
Timeline
19
Reactions
0
Participants
Timeline (top)
mentioned ×6subscribed ×6labeled ×4commented ×3

Root Cause

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

RAW_BUFFERClick to expand / collapse

Platforms: linux, slow

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 6 hours, it has been determined flaky in 6 workflow(s) with 12 failures and 6 successes.

Debugging instructions (after clicking on the recent samples link): DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs. To find relevant log snippets:

  1. Click on the workflow logs linked above
  2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
  3. Grep for test_generic_fp32_precision_propagates_to_cudnn_conv_rnn
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Test file path: test_cuda.py

For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.

cc @ptrblck @msaroufim @eqy @jerryzh168 @tinglvv @nWEIdia

extent analysis

TL;DR

The most likely fix involves investigating and resolving the flakiness in the test_generic_fp32_precision_propagates_to_cudnn_conv_rnn test by analyzing the workflow logs.

Guidance

  • Investigate the workflow logs by following the provided debugging instructions to identify patterns or common issues causing the test failures.
  • Look for any environmental or configuration differences between the successful and failed test runs.
  • Check the test file test_cuda.py for any potential issues or inconsistencies that could be contributing to the flakiness.
  • Consider re-enabling the test and running it locally to gather more information and reproduce the issue.

Example

No specific code snippet can be provided without further information, but the test file test_cuda.py should be reviewed for any potential issues.

Notes

The flakiness of the test may be due to various factors, including environmental or configuration issues, and a thorough investigation of the workflow logs is necessary to determine the root cause.

Recommendation

Apply workaround: Temporarily re-enable the test and run it locally to gather more information and reproduce the issue, as this will allow for a more detailed analysis of the problem.

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_generic_fp32_precision_propagates_to_cudnn_conv_rnn (__main__.TestFP32PrecisionFlags) [3 comments, 1 participants]