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
- LearningRateMonitor doesn't log to MLFlow via mlflow.pytorch.autolog()
- Support `xser` for saving checkpoints for XLA
- [RFC] Profiler Metrics
- Save training metadata with the fault tolerance checkpoint
- Syncing the log_dir across ranks is not valid with multiple nodes
- Use the Callback state_key to disambiguate callbacks provided to trainer and from LightningModule
- Tagging discussion with release number
- Support batch size scaling with dataloaders passed directly to `fit()`
- Add version compatibility matrix
- Deprecate `prepare_data_per_node` and auto detect shared file-system
- Docs
- Python not yet supported