pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- Multi-gpu training is much lower than single gpu (due to additional processes?)
- Support wandb_logger.watch() when using LightningCLI
- Enable batch size finder for distributed strategies
- logged images are not showing up in tensorboard images.
- Passing a dataloader to save_hyperparams hangs trainer.fit
- TensorBoardLogger does not document .add_image() function
- Huge metrics jump between epochs && Step and epoch log not matched, when accumulate_grad_batches > 1
- Turn off hpc checkpoint saving in SLURM environment if trainer.fit(..., ckpt_path="last")
- IndexError: Pytorch-lightning CompositionalMetric require tensor.item() if dim=0 whether I did so
- Support GAN based model training with deepspeed which need to setup fabric twice
- Docs
- Python not yet supported