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
- 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
- Sanitize object params before they get logged from argument-free classes
- Support GAN based model training with deepspeed which need to setup fabric twice
- Sanitize argument-free object params before logging
- Resume from mid steps inside an epoch
- `DDPStrategy` fails when using accelerators other than CUDA
- Script freezes when Trainer is instantiated
- Logging Documentation Does not Detail How to Access the Logged Values during the fit loop
- Docs
- Python not yet supported