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
- 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
- Resume from mid steps inside an epoch
- Logging Documentation Does not Detail How to Access the Logged Values during the fit loop
- Docs
- Python not yet supported