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
- Pickling error when using cuda in `collate_fn`
- A gracefull design to introduce third-party models as tool for validation
- Add Deepspeed Zero 3 MiCS support
- ModelCheckpointCallback is triggered by mistake after every validation stage when mannual optimization
- Add `best_k_metrics` parameter to the `ModelCheckpoint`
- Jax Support within Lightning
- [BUG] (`DataLoader`) sanity check fails due to `Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor)`
- "FileNotFoundError: The provided path is not a valid DeepSpeed checkpoint" when using strategy='deepspeed_stage_2'
- Ask a Question and Chat with us are not working.
- Add fp8 (torchao)/fsdp2/torch_compile handlers and tests
- Docs
- Python not yet supported