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主要原因是计算D矩阵的每一个tile时,都需要计算P矩阵对应的一行tile,访存量和计算量都随着N线性增加。也就是在N比较大的场景下,B2B HGEMM不一定具有优势。
当然,如果直接使用寄存器从C排布转A排布,需要一定的计算技巧;但如果使用smem方案,会简单很多。
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我测了你的flash attention inference,在head=32,dim=128时确实效率不理想,还不如两次GEMM
当然考虑到flash attention有做softmax,如果在两次GEMM之间吸收掉softmax的IO,可能跟flash attention v2效率也差不多
flash attention v2的优势也许只在于节约显存
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