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
- Total time in Simpleprofiler does not add up to the function run-times
- possibilities for Asynchronous (RL online rollout) evaluation during training
- Raise an error if sync_dist is set when logging torchmetrics
- Add log_image for Tensorboard logger
- torch.randn() + DDP + GANs are easy to get wrong with lightning
- MLFlow logger with remote tracking fails with CLI
- Leak RAM when training 8 core TPU
- Import order with hf-datasets,pl and spacy leads to unpickling error
- `ProgressBar` created in `LightningModule.configure_callbacks` does not override default `ProgressBar`
- Using the WANDB logger ignores ModelCheckpoints.
- Docs
- Python not yet supported