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
- --hf_deepspeed_save flag to use Hugging Face Deepspeed logic and no configure_optimizers if optimizer/scheduler defined
- `self.log` in `on_*_epoch_end` defaults to step=global step rather than step=epoch
- Fix for error trying to use MPS on Intel MacBook.
- Warning: Cannot find reference 'loggers' in '__init__.py'
- Add return code/text for the "reason" early stopping occured
- Wandb checkpoints are not logged in experiment's directory
- Logged monitor value for train_loss after early stopping does not match the stopping criteria
- Allow to modify nested parameters with LightningCLI
- Update deepspeed activation checkpointing docs
- Should Fabric have a `.mark_step()`?
- Docs
- Python not yet supported