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
- Another profiling tool is already active
- Running `test` with LightningCLI, the program can quit before the test loop ends
- Hyperparameter logging with multiple loggers only works partially (TensorBoard and CSV)
- Increase MlflowLogger parameter value length limit
- FSDPPrecision should support 16-true with a loss scaler
- min_epochs and EarlyStopping in conflict
- Nicer logging of list of dicts for hyper parameters
- Documentation: writing custom samplers compatible with multi GPU training
- Returning num_replicas=world_size when using distributed sampler in ddp
- modified num_replicas=self.world_size
- Docs
- Python not yet supported