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
- Remove Trainer reference from lightning module and datamodule
- Add checks for model spec and matching output values in `to_onnx()` method
- CI Testing ROCm
- DDP with 2 GPUs doesn't give same results as 1 GPU with the same effective batch size
- MLFlow Logger Makes a New Run When Resuming from hpc Checkpoint
- support len(datamodule)
- Mixed precision: scheduler and optimizer are called in the wrong order
- CLI for inspecting checkpoints
- Load callback states while testing.
- Store logger experiment id in checkpoint to enable correct resuming of experiments
- Docs
- Python not yet supported