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
- OptimizerLRScheduler typing does not fit examples
- LightningCLI doesn't save optimizer's configuration if not explicitly given
- Cannot pass `schedule` for `PyTorchProfiler` using `LightningCLI`
- Expose `weights_only` option for loading checkpoints
- Using srun on a SLURM cluster causes the job to exit prematurely, even with auto_requeue=False
- Can I nest LightningModules inside child modules?
- Dataloader with >0 workers when using DDP causes a crash
- WIP: Disable _optimizer_to_device logic
- Another profiling tool is already active
- Returning num_replicas=world_size when using distributed sampler in ddp
- Docs
- Python not yet supported