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
- save_last=True no longer saves the latest state when save_top_k is used (behavior change in 2.6.0, released as a fix)
- Fix _Linear8bitLt quantized guards and O(N^2) missing-keys hook in bitsandbytes plugin
- Fix `ModelPruning._make_pruning_permanent_on_state_dict` suffix stripping and `O(M^2)` sanitization
- Fabric experimental API warnings link to a 404 versioning-policy page
- docs: resolve Fabric experimental policy links with intersphinx
- `Trainer.estimated_stepping_batches` ignores `GradientAccumulationScheduler`, so schedules sized with it end early
- Account for `GradientAccumulationScheduler` in `Trainer.estimated_stepping_batches`
- Fix `ModelSummary.total_layer_params` double-counting nested modules when `max_depth != 1`
- Add `MLFlowLogger.log_model` to log and register models with MLflow
- Docs
- Python not yet supported