Actions: Lightning-AI/pytorch-lightning
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1,689 workflow runs
1,689 workflow runs
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2604:
Issue #20412
edited
by
nan-dre
TrainingEpochLoop._should_check_val_fx
discrepancy between continued run <> restore from ckpt
Label Issues
#2603:
Issue #14579
edited
by
Borda
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2602:
Issue #20412
edited
by
nan-dre
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2601:
Issue #20412
edited
by
nan-dre
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2600:
Issue #20412
edited
by
nan-dre
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2599:
Issue #20412
edited
by
nan-dre
seed_everything(..., workers=True)
causes the Dataloader
to apply exactly the same augmentations each epoch if they sample values from torch.distributions
Label Issues
#2598:
Issue #20412
opened
by
nan-dre