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TestMultiprocessing.test_fs_sharing is flaky #65559

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mruberry opened this issue Sep 23, 2021 · 1 comment
Open

TestMultiprocessing.test_fs_sharing is flaky #65559

mruberry opened this issue Sep 23, 2021 · 1 comment
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high priority module: flaky-tests Problem is a flaky test in CI module: tests Issues related to tests (not the torch.testing module) oncall: distributed Add this issue/PR to distributed oncall triage queue triage review triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@mruberry
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mruberry commented Sep 23, 2021

See https://github.com/pytorch/pytorch/runs/3690474520, relevant snippet:

Failure: TestMultiprocessing.test_fs_sharing
Traceback (most recent call last):
  File "test_multiprocessing.py", line 341, in test_fs_sharing
    self._test_sharing(repeat=TEST_REPEATS)
  File "test_multiprocessing.py", line 282, in _test_sharing
    test_fill()
  File "test_multiprocessing.py", line 260, in test_fill
    self.assertFalse(p.is_alive())
AssertionError: True is not false

cc @ezyang @gchanan @zou3519 @bdhirsh @jbschlosser @pietern @mrshenli @pritamdamania87 @zhaojuanmao @satgera @rohan-varma @gqchen @aazzolini @osalpekar @jiayisuse @SciPioneer @H-Huang @gcramer23 @mruberry

@mruberry mruberry added high priority oncall: distributed Add this issue/PR to distributed oncall triage queue module: tests Issues related to tests (not the torch.testing module) labels Sep 23, 2021
@wayi1 wayi1 added triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module module: flaky-tests Problem is a flaky test in CI labels Sep 24, 2021
@fduwjj
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fduwjj commented Mar 25, 2022

Who can the proper owner of this issue, @rohan-varma ?

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Labels
high priority module: flaky-tests Problem is a flaky test in CI module: tests Issues related to tests (not the torch.testing module) oncall: distributed Add this issue/PR to distributed oncall triage queue triage review triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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