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
- fix: warn when training batches are fewer than `accumulate_grad_batches`
- Enable FSDP strategy on CPU (accelerator="cpu")
- [pre-commit.ci] pre-commit suggestions
- Add an end-to-end anomaly detection tutorial using PyTorch Lightning
- `accumulate_grad_batches` is silently ignored when epoch length < `accumulate_grad_batches`, because Lightning always steps on the last batch
- Fix TQDMProgressBar showing unknown total after resuming from a mid-epoch checkpoint
- Fix progress bar total under gradient accumulation with iterable datasets
- Support typed learning rate scheduler configs
- Checkpoints silently fail to save due to swallowed PermissionError in `_atomic_save`
- Fix PermissionError swallowing in _atomic_save
- Docs
- Python not yet supported