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
- Shuffle order is the same across runs when using strategy='ddp'
- Checkpoints Saving with different permissions to account defaults
- Add something like `use_compile` parameter for Trainer
- DDPStrategy under windows is complaining about missing libuv
- FSDP Strategy not working with bfloat16
- Easier access to train_batch_idx for control
- Add support to Fairscale Parallel Layers
- Add support to Llama 3.1
- environment variable WORLD_SIZE is incorrectly set to 1 after trainer.fit is done
- KeyError: 'Trying to restore optimizer state but checkpoint contains only the model. This is probably due to `ModelCheckpoint.save_weights_only` being set to `True`.' But optim_cfg is in model
- Docs
- Python not yet supported