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ee88a7e5f3acc1f81c52dfc45d2bdd542b4cd9ed
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9 Commits
Author SHA1 Message Date
Woosuk KwonandGitHub c267b1a02c Add query stride to multi_query_cached_kv_attention & Add kernel benchmark script (#27) 
* Add query stride to multi_query_cached_kv_attention

* Add kernel benchmark script
 2023-04-08 13:36:09 -07:00
Woosuk KwonandGitHub 0f40557af6 Implement block copy kernel to optimize beam search (#32) 2023-04-07 17:45:07 -07:00
Siyuan (Ryans) ZhuangandGitHub 21b3671bbc Basic attention kernel that supports cached KV + (multi-)prompts (#24) 2023-04-04 20:34:46 -07:00
Woosuk KwonandGitHub 897cb2ae28 Optimize data movement (#20) 2023-04-02 00:30:17 -07:00
Woosuk KwonandGitHub 09e9245478 Add custom kernel for RMS normalization (#16) 2023-04-01 00:51:22 +08:00
Woosuk KwonandGitHub 88c0268a18 Implement custom kernel for LLaMA rotary embedding (#14) 2023-03-30 11:04:21 -07:00
Woosuk KwonandGitHub a1b3de86cd Refactor the test code for attention kernels (#13) 2023-03-29 18:59:27 -07:00
Woosuk KwonandGitHub 3e9f991d6a Use FlashAttention for multi_query_kv_attention (#4) 2023-03-01 21:13:08 -08:00
Woosuk KwonandGitHub 0deacbce6e Implement single_query_cached_kv_attention kernel (#3) 2023-03-01 15:02:19 -08:00