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
- WandbLogger doesn't format config correctly
- Error using lightning 2.0 when i use deepspeed and torch.compile both
- `automatic_optimization=True` will terminate the training process after few iterations.
- Stepwise LR-Scheduler not working across epochs
- Parameters and Gradient is not logged by WandB under FSDP strategy
- Simple CloudWatch logger
- TPU related documentation updates
- Refactor the DeepSpeed strategy config management
- Init arguments upon multiple inheritance from LightningDataModule and other parent class
- Allow checkpointing initial model weights
- Docs
- Python not yet supported