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
- Extra training step/global_step incrementation when resuming training from a checkpoint
- PermissionError with ModelCheckpoints
- CPU-Memory keeps accumulating during `trainer.predict`
- Support `DDP(static_graph=True)` and gradient accumulation
- [WIP]add npu support
- feat(integrations): Improve checkpoint functionality of `WandbLogger`
- Unable to use TPU on Google Colab
- Fix: automatically upload config file when using WandbLogger with PTL CLI
- Lazy object instantiation via config file
- configure_model with deepspeed_stage3 goes wrong
- Docs
- Python not yet supported