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
- 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`
- Model diverges or struggles to converge with complex-valued tensors in DDP
- Fabric: add support for 'auto' accelerator
- Enforce port range for Apps on localhost (similar to cloudspace)
- Pickling error when using cuda in `collate_fn`
- A gracefull design to introduce third-party models as tool for validation
- Add Deepspeed Zero 3 MiCS support (Issues #20378)
- ModelCheckpointCallback is triggered by mistake after every validation stage when mannual optimization
- Docs
- Python not yet supported