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
- PyTorchProfiler does not profile GPU
- WandbLogger does not log losses with self.log() in LightningModule
- ModelCheckpoint broadcast fails on multiple GPUs
- LightningCLI: limit the output of known subclasses for better readability
- Comet: Undocumented and incorrectly described function
- fix(mlflow): Enabling multiple callbacks for checkpoint reporting
- MLFlow logger - save top k to server on N epochs
- The best practice to monitor the data loading time & training forward backward time
- chunkable datasets and dataloaders
- MLFlowLogger: log system metrics
- Docs
- Python not yet supported