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
- Model does not update its weights
- 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.
- ImportError: cannot import name '_TORCHMETRICS_GREATER_EQUAL_1_0_0' from 'pytorch_lightning.utilities.imports'
- fix: allow loading of nested states in `Fabric.load` [wip]
- 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
- Docs
- Python not yet supported