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
- sync_batchnorm with gradient accumulation
- Missing / Unexpected key(s) when loading a checkpoint from a compiled model
- If ModelCheckpoint and Validation occur on the same step, validation should run first, reopen
- Resume from checkpoint not working on multi-gpu instance
- Automatic gradient accumulation for batch size tuning
- DDP training freezes immediately
- Fabric dataloaders die when num workers > 0 and distributed.
- deepspeed strategy can't save checkpoint, TypeError: cannot pickle `torch._C._distributed_c10d.ProcessGroup` object
- RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protocol at the moment
- Add device information to the accelerator config message
- Docs
- Python not yet supported