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
- Deprecate Python 3.9 support + Add Python 3.14
- Change WandbLogger prefix separator to slash for better metric grouping
- Move checkpoint for auto-requeue on SLURM clusters out of signal handlers
- Reinstate checkpoint_path_prefix in MLFlowLogger
- MLflow model format required for the Register Model
- Fix broken examples exploration link in README (404 Error)
- Lightning sets shuffle=True for custom samplers when wrapping them for distributed sampling
- Manual `Dataloader` reloading during training
- Add DeviceSummary callback to control device printout
- forced CPU-GPU optimization at the end of every training step resulting in underutilization of GPU
- Docs
- Python not yet supported