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

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pytorch/pytorch#182261•Fetched 2026-05-04 04:57:50
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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

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 11 workflow(s) with 22 failures and 11 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_round_threshold_larger_than_cached_size
  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 test test_round_threshold_larger_than_cached_size in test_cuda.py is likely failing due to flakiness and needs to be investigated and debugged.

Guidance

  • Investigate the workflow logs for the test by following the provided debugging instructions to identify the cause of the flakiness.
  • Study the logs for multiple instances of the test run to understand the pattern of failures and successes.
  • Check the test file test_cuda.py for any potential issues or recent changes that could be contributing to the flakiness.
  • Consider re-enabling the test and running it locally to reproduce and debug the issue.

Notes

The provided information suggests that the test is flaky, but the root cause is not immediately clear. Further investigation and debugging are needed to determine the cause of the issue.

Recommendation

Apply workaround: Temporarily re-enable the test and run it locally to gather more information and debug the issue, as the CI logs may not provide enough information due to the shielding of flaky tests.

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#GPU compatibility#latency issue#model loading#dependency error#configuration error

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