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 a callback to loggers called after removing a checkpoint
- Examples for OPT, just like benchmark on minGPT
- What's the intended way of resuming training on a SLURM cluster?
- Forcing deterministic behavior in Fabric
- Simple documentation of automatic optimization with learning rate scheduler
- `configure_optimizers` in LightningCLI doesn't work in distributed mode
- Tuner starts from validation even though num_sanity_val_steps is set to 0
- BaseFinetuning callback can add the same parameter to the optimizer multiple times
- Loss balancer
- `self.log` raised error when number of dataloader is not consistent
- Docs
- Python not yet supported