[WIP] Add fast cuda kernels for one mode #154
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TODO: support seq mode
Add fast gemv kernel (based on https://github.com/wangsiping97/FastGEMV and added kernel fusion. ~10% faster than pytorch gemv) and a fused wkv_forward_one kernel (much faster, ~140 us -> 5us on 2080 1.5B model).
2080, 1.5B Model:
Main branch (blue bars represent CUDA kernels):
![image](https://private-user-images.githubusercontent.com/11607199/253882246-5cab0f6d-551a-44ea-8a47-5704108cb5a6.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.sXYLXlQQcleTyFTAsB3gjK_YF5TVYeUh2c-HYcv5ZBY)
This branch:
FFN time: 359.77us -> 231.29us
ATT time: 291.71us -> 148.45us
Whole one mode time: 0.2487s -> 0.1409s
A100, 7B model:
Whole one mode time: 0.2657s -> 0.184s