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: allow loading of nested states in `Fabric.load` [wip]
- Stepwise LR scheduler
- Unexpected Behavior: `Fabric.load` operates out-of-place on nested states
- Allow passing custom reader/writer in _distributed_checkpoint_save and _distributed_checkpoint_load.
- Training crash when using XLA profiler on XLA accelerator and manual optimization
- 7x slower training speed when switching from lightning 1.0 to 2.0
- Feat: support reusable instance of ModelCheckpoint
- Loading a model changes pytorch random state
- fix: correct the positional encoding of Transformer in pytorch examples
- LightningCLI: --help argument given after the subcommand fails
- Docs
- Python not yet supported