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
- Loading from a checkpoint does not work properly in distributed training
- `TensorBoardLogger` fails with remote FS (azure)
- Pydantic AttributeError when using LightningDataModule
- LightningCLI, WandbLogger and save_hyperparameters() inconsistencies
- `log_dir` contains both forward and backward slashes as path separator when using remote file location as `default_root_dir` on windows
- Expected all tensors to be on the same device... using quantized model with deepspeed zero3
- PyTorch Lightning FSDP takes more memory than PyTorch FSDP
- Training stuck when running on Slurm with multiprocessing
- Support TorchEval
- How to use BackboneFinetuning callback?
- Docs
- Python not yet supported