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
- `BatchSizeFinder` with method `fit` and separate batch_size attributes for train and val (e.g., `self.train_batch_size` and `self.val_batch_size`)
- Validation stuck when trainers have different data size
- MisconfigurationException use cases
- Change `optimizer` or `lr_scheduler` in resuming training without removing the `global_step` information
- Tensorboard Logger is flushed on every step
- stateful dataloaders do not load their state_dict if self.trainer.estimated_stepping_batches called beforehand
- updated `ModelCheckpoint` to add the facility of retaining periodic checkpoints
- Cross validation built into the framework
- Unable to requeue a job after sigterm signal on slurm
- `top_k` parameter of `ModelCheckpoint` default value
- Docs
- Python not yet supported