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DISABLED test_aliased_param_return_cpu (__main__.CpuTests) #103466

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eellison opened this issue Jun 12, 2023 · 3 comments
Closed

DISABLED test_aliased_param_return_cpu (__main__.CpuTests) #103466

eellison opened this issue Jun 12, 2023 · 3 comments
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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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@eellison
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馃悰 Describe the bug

failing on hud

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master
@pytorch-bot pytorch-bot bot added the skipped Denotes a (flaky) test currently skipped in CI. label Jun 12, 2023
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pytorch-bot bot commented Jun 12, 2023

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_aliased_param_return_cpu (__main__.CpuTests)
  • Platforms for which to skip the test: none parsed, defaulting to ALL platforms
  • Disabled by eellison

Within ~15 minutes, test_aliased_param_return_cpu (__main__.CpuTests) will be disabled in PyTorch CI for all platforms. 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, win, windows.

@eellison eellison mentioned this issue Jun 12, 2023
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@mikaylagawarecki mikaylagawarecki added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Jun 13, 2023
@mikaylagawarecki
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Seems like PR that added this test above was reverted, should this be closed?

@eellison
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Yea, the test is explicitly skipped now. can close

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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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