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
- Recommended way to save checkpoints from internal compiled model
- Add support to Llama 3.1
- Token throughput monitor assumes batch size is fixed but does not raise meaningful error
- Support variable batch size in throughput callback
- 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
- torch.cuda.OutOfMemoryError after running tuner.scale_batch_size() in "binsearch" mode
- Dashboard
- "FileExistsError: [Errno 17] File exists: '/000000_epoch_shape'" using the ddp_notebook strategy with data stored in MDS (mosaic streaming) format
- metric.compute() hangs when using DDP with multiple GPUs
- Docs
- Python not yet supported