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
- Refactor trainer._log_device_info() method and warnings
- Logging a TorchMetric resets it, produces very subtle and unexpected behaviour
- Add debugging utilitity methods for DDP
- EarlyStopping Callback relative threshold mode
- check_val_every_n_epoch bug with list of dataloaders
- Race condition with SLURM restart
- Datapipe handling with more than 1 GPU gives torch.multiprocessing.spawn.ProcessExitedException: process 1 terminated with exit code 1
- Ability to log a file, not neccesarily tied to a 'step'
- Batch Size Finder: Allow datamodule to decide fate when OOM thrown with new hook
- `RichProgressBar` in v1.6 is slower than v1.5
- Docs
- Python not yet supported