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
- Feature request: Support splitting model weights and training states into separate checkpoint files
- Autofix RET503 and RET504
- Redundant Host & Device Synchronizations
- Directly save checkpoint to specified disk location
- [CLI] predict(ckpt_path="best") raises ValueError even though ModelCheckpoint is configured under trainer.callbacks
- Fix edgecase for early stopping
- LightingModel.save_checkpoint()
- [WIP] Compatibility with Pytorch 2.9 precision API
- `ddp_fork` test on MacOS failing
- How to integrate `huggingface.PyTorchModelHubMixin.save_pretrained()` with Lightning `Trainer` (checkpointing & loading)
- Docs
- Python not yet supported