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
- WandbLogger does not log checkpoints from multiple ModelCheckpoint callbacks, but only from last one
- LightningModule self.log add_dataloader_idx doesn't reduce properly the metric across dataloaders
- Refactor trainer._log_device_info() method and warnings
- Integrate Intel Neural Compressor tool to quantize fp32 model
- Trainer validates `gradient_clip_algorithm` although `configure_gradient_clipping` is defined
- Add feature Exponential Moving Average (EMA)
- Model Pruning Callback Failing
- Proper support for Pytorch SequentialLR Scheduler
- [Trainer] dictionary access to multiple named loggers
- A100 GPU MIG feature support for trainer
- Docs
- Python not yet supported