lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- 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
- Add `on_validation_model_train/eval` to Callback API as well
- Docs
- Python not yet supported