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llama.cpp的rocWMMA flash attention进入主线了,现在可以用RDNA3/3.5/CDNA1+的tensor core加速flash attention实现更好性能的prefill和batch decode。较小模型的单用户吐字速度也有些许提升,应该不会再落后于Vulkan。不过目前主线版本暂时还需要手动打开编译选项。

https://github.com/ggml-org/llama.cpp/commit/becade5de77674696539163dfbaf5c041a1a8e97



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llama.cpp的rocWMMA flash attention进入主线了,现在可以用RDNA3/3.5/CDNA1+的tensor core加速flash attention实现更好性能的prefill和batch decode。较小模型的单用户吐字速度也有些许提升,应该不会再落后于Vulkan。不过目前主线版本暂时还需要手动打开编译选项。

https://github.com/ggml-org/llama.cpp/commit/becade5de77674696539163dfbaf5c041a1a8e97

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