pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- `seed_everything(..., workers=True)` causes the `Dataloader` to apply exactly the same augmentations each epoch if they sample values from `torch.distributions`
- update dataset at "on_train_epoch_start", but "training_step" still get old data
- How to deal with uneven inputs in DDP with sharded data without hanging
- FSDP full state dict mangles fsspec path
- put the monitor metric into default filename for ModelCheckpoint
- PytorchStreamReader failed reading zip archive: not a ZIP archive
- Error if SLURM_NTASKS != SLURM_NTASKS_PER_NODE
- Gradient checkpointing and ddp do not work together
- Light / dark mode for documentation
- Major performance degradation when multiple metrics/losses
- Docs
- Python not yet supported