This CUDA extension implements fused dropout + residual + LayerNorm, building on Apex's FastLayerNorm. Major changes:
- Add dropout and residual.
- Make it work for both pre-norm and post-norm architecture.
- Support more hidden dimensions (all dimensions divisible by 8, up to 8192).
- Implement RMSNorm as an option.
- Support layer norm with parallel residual (e.g., GPT-J, GPT-NeoX, PaLM).
If you want to use it for dimensions larger than 8k, please file an issue.
This extension has only been tested on A100s.
cd csrc/layer_norm && pip install .