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
- 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.
- BatchSizeFinder safety margin
- Make sure the upcoming change in the default for `weights_only` from False to True is handled correctly
- Error: Invalid value for '--accelerator': 'auto' is not one of 'cpu', 'gpu', 'cuda', 'mps', 'tpu'.
- Add fp8 (torchao)/fsdp2/torch_compile handlers and tests
- Docs
- Python not yet supported