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
- Improve error message when `LightningCLI(run=False)` but user passes a stage as argument
- Support multi-run with hydra + DDP
- TPU v3-8 deadlocks when using datasets larger than 2^15 on 8 devices
- CUDA OOM with DeepSpeed ZeRO Stage 3 Offload
- Unable to train on v3-8 TPUs with lightning. Training is stuck/deadlocked ?
- Prepare data in GPU device in DataModule/DataSet
- Enable multiple loggers to save to the same version directory
- Example of gradient clipping with manual optimization does not handle gradient unscaling properly
- Running out of memory when resuming the training from a checkpoint
- Incorrect batch progress saved in checkpoint at every_n_train_steps
- Docs
- Python not yet supported