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
- KeyError：pytorch_lightning.utilities.argparse_utils
- added ignore for hyper params
- You really should make the access to optimizers and schedulers more comprehensible and more detailed.
- Stepwise LR scheduler
- Unexpected Behavior: `Fabric.load` operates out-of-place on nested states
- Allow passing custom reader/writer in _distributed_checkpoint_save and _distributed_checkpoint_load.
- Training crash when using XLA profiler on XLA accelerator and manual optimization
- 7x slower training speed when switching from lightning 1.0 to 2.0
- Feat: support reusable instance of ModelCheckpoint
- Loading a model changes pytorch random state
- Docs
- Python not yet supported