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
- Please allow automatic optimization for multiple optimizers again.
- Sometimes error when logging model graph with `functional.interpolate` and `deterministic=True`
- Sometimes I get Dataset Errors when using the lightning module in a distributed manor
- Cannot pass `schedule` for `PyTorchProfiler` using `LightningCLI`
- ModelCheckpoint save ckpts at the end of every epoch even in step-saving strategy
- training time increase epoch by epoch
- Using Stochastic Weight Averaging (SWA) and LearningRateFinder simultaneously can cause issues:
- enable loading `universal checkpointing` checkpoint in `DeepSpeedStrategy`
- Test optimizer to device
- Add date and time for TensorBoardLogger
- Docs
- Python not yet supported