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
- The breadcrumb navigation is wrong.
- Make logging_mode (`on_step` or `on_epoch`) available to loggers
- DistributedTraining issue
- MPS Mixed-precision Autocast
- Activation config for callbacks
- PaliGemma fine-tuning - error with distributed training
- Error learning rate when load ckpt for cotinue training if check_val_every_n_epoch > 1
- Synchronize validation and test logging
- Loading checkpoint before fabric.setup(model) gets abnormal loss when using fabric.init_module()
- Allow user to use `dataloader_idx` in log name in `LightningModule.log`
- Docs
- Python not yet supported