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
- PR: Fix Duplicate Metric Logging in MLFlowLogger to Prevent MLflow Database Errors
- update ModelSummary
- LR Finder: compute gradients w.r.t. log10(lr) in exponential mode (fix torch.gradient spacing)
- Fix progress bar deadlock on DDP metrics computation.
- `lr_scheduler.step()` must be called before `optimizer.step()`
- Fix batch progress state misalignment when resuming from mid-epoch checkpoints
- docs(LightningModule): update docs for `.training` mode in loops
- [Help needed] How to pass `weights_only` param to `tuner`
- Fix: Respect `required=False` in `add_lightning_class_args` when `subclass_mode=False`
- MlflowException when logging checkpoints with MLFlowLogger
- Docs
- Python not yet supported