21 lines
865 B
Markdown
21 lines
865 B
Markdown
This CUDA extension implements fused dropout + residual + LayerNorm, building on
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Apex's [FastLayerNorm](https://github.com/NVIDIA/apex/tree/master/apex/contrib/layer_norm).
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Major changes:
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- Add dropout and residual.
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- Make it work for both pre-norm and post-norm architecture.
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- Support more hidden dimensions (all dimensions divisible by 8, up to 8192).
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- Implement RMSNorm as an option.
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- Support layer norm with parallel residual (e.g., GPT-J, GPT-NeoX, PaLM).
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If you want to use it for dimensions larger than 8k, please file an issue.
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This extension has only been tested on A100s.
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```sh
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cd csrc/layer_norm && pip install .
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```
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As of 2024-01-05, this extension is no longer used in the FlashAttention repo.
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We've instead switched to a Triton-based
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[implementation](https://github.com/Dao-AILab/flash-attention/blob/main/flash_attn/ops/triton/layer_norm.py).
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