8000 DISABLED test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__main__.TestForeachCUDA) · Issue #150467 · pytorch/pytorch · GitHub
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DISABLED test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__main__.TestForeachCUDA) #150467

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pytorch-bot bot opened this issue Apr 1, 2025 · 5 comments
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DISABLED test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__main__.TestForeachCUDA) #150467

pytorch-bot bot opened this issue Apr 1, 2025 · 5 comments
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module: flaky-tests Problem is a flaky test in CI module: mta Issues related to multi-tensor apply kernels and foreach functions skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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pytorch-bot bot commented Apr 1, 2025 •
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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 3 hours, it has been determined flaky in 3 workflow(s) with 6 failures and 3 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_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16
  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_foreach.py

cc @clee2000 @crcrpar @mcarilli @janeyx99
@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: mta Issues related to multi-tensor apply kernels and foreach functions skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Apr 1, 2025
@pytorch-bot PyTorch Bot
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pytorch-bot bot commented Apr 1, 2025 •
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Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:
  • Test name: test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__main__.TestForeachCUDA)
  • Platforms for which to skip the test: linux, slow
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__main__.TestForeachCUDA) will be disabled in PyTorch CI for these platforms: linux, slow. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.

How to re-enable a test

To re-enable the test globally, close the issue. To re-enable a test for only a subset of platforms, remove the platforms from the list in the issue body. This may take some time to propagate. To re-enable a test only for a PR, put Fixes #150467 in the PR body and rerun the test jobs. Note that if a test is flaky, it maybe be difficult to tell if the test is still flaky on the PR.

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pytorch-bot bot commented Apr 16, 2025

Resolving the issue because the test is not flaky anymore after 2050 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive

@pytorch-bot pytorch-bot bot closed this as completed Apr 16, 2025
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pytorch-bot bot commented Apr 22, 2025

Another case of trunk flakiness has been found here. Reopening issue. The list of platforms [linux] appears to contain all the recently affected platforms [linux].

@pytorch-bot pytorch-bot bot reopened this Apr 22, 2025
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pytorch-bot bot commented Apr 22, 2025

Another case of trunk flakiness has been found here. The list of platforms [linux] does not appear to contain all the recently affected platforms [linux, slow]. Adding [slow].

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pytorch-bot bot commented May 14, 2025

Resolving the issue because the test is not flaky anymore after 1750 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive

@pytorch-bot pytorch-bot bot closed this as completed May 14, 2025
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