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
- Use SIGTERM instead of SIGKILL on DDP Errors
- Update the docformatter pre-commit action
- Fix LR scheduler behaviour with AMP
- Introduce training and eval modes for the strategy
- WandbLogger disables cloud checkpointing in Trainer default_root_dir
- torch.randn() + DDP + GANs are easy to get wrong with lightning
- Support non-conventional optimizers
- Integrating pytorch XLA when using multiple GPUs
- `num_training_batches` is `inf` in `configure_optimizers`
- `save_hyperparameters` does not save the selected` learning_rate` when `auto_lr_find` is used
- Docs
- Python not yet supported