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
- Fabric.all_gather should support concatenation
- Add `after_instantiate_classes` hook to LightningCLI to save LightningDataModule information in the current log directory
- Validation metrics not available when resuming training from checkpoint
- Trainer does not work when accelerator="mps" (but works fine if using accelerator="cpu" or "gpu")
- `CombinedLoader` takes a long time when `num_workers > 0`
- ModelCheckpoint saves multiple checkpoints when trainer is using DDP
- Add multiple ModelCheckpoint callbacks support to WandbLogger and adjust model file namings
- Callbacks leaking test gradients?
- Add more logging options to `MLFlowLogger`
- How to unit test LightningCLI without UserWarning?
- Docs
- Python not yet supported