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
- Add support S3 as a storage option for profiling results
- Gradient accumulation calcluation may be incorrect
- Better registration support for a wide range of third-party hardware
- tensorboard step and self.global_step do not correspond under accumulate_grad
- Can't resume automatically a job, ckpt_path="hpc" throws ValueError from the start
- Everything prints fine, but the loss doesn't descent
- Impove how argument passing via CLI and config file is handled in regards to argument linking
- PyTorchProfiler: not showing CPU memory used even with `profile_memory=True`
- DDP and BackboneFinetuning: model weights get out of sync when unfreezing layers for training
- restore_training_state before on_fit_start?
- Docs
- Python not yet supported