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
- stateful dataloaders do not load their state_dict if self.trainer.estimated_stepping_batches called beforehand
- updated model_checkpoint.py to add the facility of retaining periodic checkpoints
- pytorch_lightning.utilities(module) and lightning_utilities (package)
- Generic weight averaging callback that supports EMA [wip]
- Cross validation built into the framework
- Unable to requeue a job after sigterm signal on slurm
- `top_k` parameter of `ModelCheckpoint` default value
- Add new `checkpoint_artifact_path_prefix` argument `MLFlowLogger` to customize artifact path for model checkpoints
- lightning.Fabric meets deadlock when loading nn.Module
- Add checkpoint artifact path prefix to MLflow logger
- Docs
- Python not yet supported