lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- Handle gradient accumulations at the end of epoch differently
- TransformerEnginePrecision _convert_layers(module) fails for FSDP zero2/zero3
- 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
- Docs
- Python not yet supported