[Paddle Inference]cutlass kernel compile optimization #64641
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你的PR提交成功，感谢你对开源项目的贡献! |
YKTian-x2b
commented
May 27, 2024
| @@ -29,5 +29,5 @@ gpu_cc="80" | |||
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| cd $build_directory | |||
| cmake .. -DPYTHON_EXECUTABLE=$python_exe_path -DCUDA_TOOLKIT_ROOT_DIR=$cuda_root_path -DCOMPUTE_CAPABILITY=$gpu_cc | |||
| make -j | |||
| make -j10 | |||
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这里的线程数待定，可能是$(nproc)/4 之类的。如果线程少了，会出现paddle都编完了，cutlass算子动态库还在编的尴尬情况。
zhoutianzi666
changed the title
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| python_exe_path="${1:-$default_python_exe_path}" | ||
| cuda_root_path="${2:-$default_cuda_root_path}" | ||
| gpu_cc="${3:-$default_gpu_cc}" | ||
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| cd $build_directory | ||
| cmake .. -DPYTHON_EXECUTABLE=$python_exe_path -DCUDA_TOOLKIT_ROOT_DIR=$cuda_root_path -DCOMPUTE_CAPABILITY=$gpu_cc |
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这里是否应该用paddle里默认的cmake
… cutlass_compile_optimization 'merge develop for push pr'
vivienfanghuagood
approved these changes
May 30, 2024
yuanlehome
previously approved these changes
May 30, 2024
co63oc
pushed a commit
to co63oc/Paddle
that referenced
this pull request
Jun 3, 2024
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PR Category
Inference
PR Types
Others
Description
CMakeLists添加自定义target，让make阶段可以执行fused_conv2d和gemm_epilogue的编译脚本，分别生成对应so。
不在CMakeLists里直接编译的原因：内核用的cutlass可能和paddle子模块的版本不一样，伴随着可能需要C++17。所以，选择执行对应脚本。
P-card-71501