pytorch - 💡(How to fix) Fix DISABLED test_addcdiv_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) [1 comments, 1 participants]

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pytorch/pytorch#182022Fetched 2026-05-01 05:32:45
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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_addcdiv_cuda_float32
  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_torch.py

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

cc @mruberry

extent analysis

TL;DR

The most likely fix involves investigating and resolving the flakiness in the test_addcdiv_cuda_float32 test by analyzing the workflow logs and identifying the root cause of the failures.

Guidance

  • Investigate the workflow logs by following the provided debugging instructions to identify patterns or clues that could explain the test flakiness.
  • Study the logs for multiple instances of the test_addcdiv_cuda_float32 test to understand the conditions under which it fails or succeeds.
  • Review the test file test_torch.py to ensure that the test is correctly implemented and that there are no obvious issues with the test code.
  • Consider re-enabling the test and re-running the CI pipeline to gather more information about the failure conditions.

Example

No specific code snippet can be provided without more context, but the debugging instructions suggest that grepping for test_addcdiv_cuda_float32 in the workflow logs may reveal useful information.

Notes

The flakiness of the test may be due to various factors, including environmental conditions, test dependencies, or test implementation issues. A thorough analysis of the logs and test code is necessary to determine the root cause.

Recommendation

Apply workaround: temporarily re-enable the test and re-run the CI pipeline to gather more information about the failure conditions, as this may help identify the root cause of the flakiness.

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pytorch - 💡(How to fix) Fix DISABLED test_addcdiv_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) [1 comments, 1 participants]