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
- Support A Variable Number of Batches
- Deepspeed Startegy doesn't set num_checkpoints while using activation partitions
- RuntimeError when running basic GAN model (from tutorial at lightning.ai) with DDP
- Add list to torch.Tensor injection in yaml config
- best-k-metrics in ModelCheckpoint
- Add learning rate scheduling support for `DeepSpeedStrategy`
- Import error on shutdown/KeyboardInterrupt if ran from Jupyter Lab notebook cell
- Model Checkpointing + FSDP causes Cuda OOM
- `hparams` not loaded when loading checkpoint via LightningCLI
- Save save_hyperparameters no longer respects linked arguments.
- Docs
- Python not yet supported