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
- Split `Precision.init_context` into `Precision.tensor_init_context` and `Precision.module_init_context`
- New cache
- Set grads to None only once at the beginning of `Trainer.validate/test/predict`
- There's no base.txt in requirements/app dir
- use new `update_called` from metrics
- ci: limit max parallel runs for TPU
- ci: extend labeling for PRs by change
- Should the model's grads be cleared before entering the validation loop?
- update the defaults in `requirements.txt`
- Forbid init_module on-device instantiation with bnb ignored modules
- Docs
- Python not yet supported