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
- Lightning 2.0 CPUAccelerator is extremely slow!
- why does lightning still not support Pipeline parallelism?
- SaveConfigCallback saves config to the current working directory instead of the logging directory.
- Inconsistency between the definition of `root_dir` in fabric and pytorch loggers
- LearningRateMonitor may not require loggers
- Using the WANDB logger ignores ModelCheckpoints.
- PyTorch Lightning module doesn't save logged val loss? ModelCheckpoint error when using trainer.tune
- on_validation_epoch_end() invocation order
- Global step reset when restoring checkpoints with trainer.validate
- MLFlow Logger log_model parameter not working correctly when using multiple ModelCheckpoint
- Docs
- Python not yet supported