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
- Fix wrong behavior of `DDPStrategy` option with simple GAN training using DDP
- Abnormally slow both single-gpu & DDP training, what is the problem here?
- DDP model not synchronizing when static_graph=True
- feat: add support for cloud files and non-local checkpoints
- Loading checkpoint from CLI using SLURM doesn't use GPU even though it says it does
- self.manual_backward() makes all gradients gone
- Non-reproducible results with num_workers=0
- Stop after validation sanity checking.
- self.all_gather does not work on on_train_epoch_end
- Added support for flushing Comet experiment data to the Comet after saving a checkpoint.
- Docs
- Python not yet supported