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[PHI] Update the MAX_ARCH of cutlass attention to support sm90 by lshpku · Pull Request #73130 · PaddlePaddle/Paddle · GitHub
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[PHI] Update the MAX_ARCH of cutlass attention to support sm90 #73130
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你的PR提交成功，感谢你对开源项目的贡献! |
wanghuancoder
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LGTM
zhangbo9674
approved these changes
Jun 9, 2025
shanjiang7
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Jun 12, 2025
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PR Category
Operator Mechanism
PR Types
Bug fixes
Description
将cutlass的
memory_efficient_attention的架构上限调整为100，以支持sm90系显卡的运行其实我本来是想在80和100之间再隔入一个90的：
但是这样会编译失败，究其原因，是因为cutlass虽然定义了Sm90这个架构：https://github.com/NVIDIA/cutlass/blob/66d9cddc832c1cdc2b30a8755274f7f74640cfe6/include/cutlass/arch/arch.h#L90-L92
但在gemm的配置中对于Sm90只支持double和complex<double>：https://github.com/NVIDIA/cutlass/blob/66d9cddc832c1cdc2b30a8755274f7f74640cfe6/include/cutlass/gemm/device/default_gemm_configuration.h#L771
而memory_efficient_attention是半精度操作，没法用这两个配置，也就是区分Sm90没有什么作用，因此我直接就从80跳到100了
经过测试，可以修复test_block_multihead_attention、test_block_multihead_attention_gqa单测在H卡上报错的问题，但是注意nvcc版本和驱动版本要匹配，如果用高版本的nvcc编译（如12.9），但驱动是低版本（如12.4），就会出现精度问题，这并非Paddle的问题
Pcard-85711