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
- Logging Documentation Does not Detail How to Access the Logged Values during the fit loop
- Apply the ignore of the `save_hyperparameters` function to args
- Cannot run in SLURM Interactive Session
- SaveConfigCallback.save_config is conflict with DDP
- Trainer does not wait for neptune logger completion and logger connection stays open unless explicitly closed
- Support `ThunderModule` models
- PTL 2.2 specifically causes torchscript errors when loaded in any environment not containing PTL 2.2
- When calling trainer.test() train_dataloader is also validated, which makes no sense
- Log `TensorBoard` histograms
- Optimizer step based validation trigger
- Docs
- Python not yet supported