lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- Proper way to use mixed precision with manual optimization
- MLFlowLogger.save_dir mishandles absolute file: URIs on Windows
- Support BatchSizeFinder in DDP
- Resume training from checkpoint that only save trainable parameters
- Document tensorboard experiment property
- 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
- Docs
- Python not yet supported