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module: dataloaderRelated to torch.utils.data.DataLoader and SamplerRelated to torch.utils.data.DataLoader and Samplermodule: testsIssues related to tests (not the torch.testing module)Issues related to tests (not the torch.testing module)triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
Description
Current Status
ongoing
Error looks like
test_typing (__main__.TestDataLoader) ... ok (0.002s)
test_worker_init_fn (__main__.TestDataLoader) ... ok (0.066s)
test_worker_seed (__main__.TestDataLoader) ... ok (0.149s)
test_worker_seed_reproducibility (__main__.TestDataLoader) ... ok (0.292s)
test_basics (__main__.TestDataLoader2) ... skip (0.001s)
test_basic_threading (__main__.TestDataLoader2_EventLoop) ... skip (0.001s)
test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (2.137s)
test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... ok (0.319s)
test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.107s)
Error: The action has timed out.
See https://github.com/pytorch/pytorch/runs/3811006909.
Incident timeline (all times pacific)
Unknown. Anecdotally this has been happening infrequently for some time.
User impact
The ASAN job failed erronenously sometimes.
Root cause
Unknown.
Mitigation
Recommended mitigation is disabling dataloader tests when running with ASAN.
Prevention/followups
Dataloader tests will need to be reviewed running under ASAN and debugged.
cc @ssnl @VitalyFedyunin @ejguan @NivekT @mruberry @ezyang @gchanan @zou3519 @bdhirsh @jbschlosser
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module: dataloaderRelated to torch.utils.data.DataLoader and SamplerRelated to torch.utils.data.DataLoader and Samplermodule: testsIssues related to tests (not the torch.testing module)Issues related to tests (not the torch.testing module)triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module