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
- CUDA Error while training in DDP and using workers in dataloaders
- save_hyperparameter incorrectly infers parameters from superclass
- The color scheme of yaml code in the document makes it difficult to read
- Does `Trainer(devices=1)` use all CPUs?
- Added fix/workaround for validation issue after resumption
- EarlyStopping interfered by LearningRateFinder
- EarlyStopping in the middle of an epoch
- Restoring a checkpoint (from model checkpoint) via `trainer.test(model_module, ckpt_path='best')` doesn't restore associated `current_epoch` within the trainer
- Validation runs only for one iteration when restarting from checkpoint mid-epoch, wrongly reporting validation loss
- NCCL when trying to train on 2 nodes
- Docs
- Python not yet supported