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 CLI should use fail_untyped=True
- Run Validation Loop on Time Interval
- Fit loop and validation loop tear down does not dereference passed dataloaders
- Crash when using a non-scalar together with scalar pytorch-metrics in distributed training
- `LightningModule.on_train_batch_end` executes after `Callback.on_train_batch_end`
- Fix: filesystem edge case in `ModelCheckpoint`
- Refactor/wandb logger callback
- Resuming from checkpoint, mid epoch gives a very distorted time estimate
- Epoch Skipping During Training After Multiple Jobs Submitted On Same Slurm Node
- Improve error message when `LightningCLI(run=False)` but user passes a stage as argument
- Docs
- Python not yet supported