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
- Can't run a model trained in MPS-system on CPU-only system.
- feat: add new callback hook `on_before_optimizer_setup`
- feat: add new callback hook `on_checkpoint_write_end`
- [cli] Fail gracefully on unsupported type annotations in config constructors
- Coerce tensorboard metrics into numpy arrays
- NCCL timeout while doing multi gpu training
- FSDP with custom state_dict()
- TQDMProgressBar calls tqdm.refresh instead of tqdm.update.
- feat: add best_model_metrics to ModelCheckpoint callback
- Trainer.predict and Trainer.test reset model state to evaluation
- Docs
- Python not yet supported