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sm小于80的机器支持trt_flash_multihead_matmul_fuse_pass by yangjianfengo1 · Pull Request #56492 · PaddlePaddle/Paddle · GitHub
yangjianfengo1
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flash attention
sm<80的机器使用memory_efficient_attention支持trt_flash_multihead_matmul_fuse_pass
Aug 24, 2023
yangjianfengo1
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sm<80的机器使用memory_efficient_attention支持trt_flash_multihead_matmul_fuse_pass
sm小于80的机器支持trt_flash_multihead_matmul_fuse_pass
Aug 24, 2023
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sm小于80的机器支持trt_flash_multihead_matmul_fuse_pass #56492
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你的PR提交成功，感谢你对开源项目的贡献! |
yangjianfengo1
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yangjianfengo1
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| @@ -32,10 +32,12 @@ def is_program_valid(self, program_config: ProgramConfig) -> bool: | |||
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可能需要加一个ut,测试下 q/k/v 输入为两个input(非一个input, 一个weight)的情况
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已加
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Sorry to inform you that 76d8b4f's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually. |
yuanlehome
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Sep 14, 2023
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LGTM
luotao1
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Sep 15, 2023
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lgtm for const_cast
danleifeng
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Nov 14, 2023
* jingdu duiqi need check * code style * code style * add weight is input * code style * windows ci * fix weight name * rerun ci * re run ci --------- Co-authored-by: yangjianfengo1 <yangjianfeng01.baidu.com>
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PR types
Performance optimization
PR changes
Others
Description
Pcard-71501
sm<80的机器使用memory_efficient_attention支持trt_flash_multihead_matmul_fuse_pass，测试数据如下：