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(mlflow): Enabling multiple callbacks for checkpoint reporting
- MLFlow logger - save top k to server on N epochs
- The best practice to monitor the data loading time & training forward backward time
- chunkable datasets and dataloaders
- Add warning when the model has eval mode parameters
- Configuration not syncing for Wandb Offline Mode
- auto_scale_batch_size arg not accept by lightning.Trainer
- Enable access to training_step output for Callback.on_before_backward
- MLFlowLogger: log system metrics
- `BatchSizeFinder` with method `fit` and separate batch_size attributes for train and val (e.g., `self.train_batch_size` and `self.val_batch_size`)
- Docs
- Python not yet supported