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: preserve stateful dataloader state around `estimated_stepping_batches`
- docs: add :emphasize-lines: to code blocks in warnings.rst (fixes #12119)
- feat: add enable_device_summary flag to Trainer (fixes #13378)
- Fix trainer.current_epoch not restored when validating/testing/predicting with ckpt_path
- Checkpoint on final train batch can leave FitLoop in RESTARTED_MID_EPOCH and replay an epoch on resume
- Start a new epoch after fast-forwarding one restored from its last batch
- CVE-2026-58659 still reported for lightning 2.6.6 — suspected advisory-version mismatch
- Fix FitLoop restart state after last batch checkpoint
- Fix extract_batch_size crash on NumPy ndarray batches
- Save training topology metadata in full checkpoints
- Docs
- Python not yet supported