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
- Move reload_dataloaders_every_n_epochs to the DataHooks class
- Pruning callback causes GPU memory leak when used iteratively
- Support Lightning Logging without Trainer
- Support `xser` for saving checkpoints for XLA
- LearningRateMonitor doesn't log to MLFlow via mlflow.pytorch.autolog()
- Make lazy initialization in plugins more robust
- Allow returning of test results from Trainer.test
- Properly support iteration-based training
- Consolidate collective functions
- Allow obtaining num_nodes from ClusterEnvironment
- Docs
- Python not yet supported