也报了 make -j 错误

seniornut commented 1 year ago

开始报错是nvcc fatal : Unsupported gpu architecture 'compute_89' 把CMakeList.txt的的set(CMAKE_CUDA_ARCHITECTURES "native") 改为了80, 同样的错误改成75后报下面的错误: [ 71%] Building CUDA object CMakeFiles/fastllm.dir/src/devices/cuda/fastllm-cuda.cu.o /usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’: 435 | function(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’ /usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’: 530 | operator=(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’ make[2]: [CMakeFiles/fastllm.dir/build.make:217: CMakeFiles/fastllm.dir/src/devices/cuda/fastllm-cuda.cu.o] Error 1 make[2]: Waiting for unfinished jobs.... /usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’: 435 | function(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’ /usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’: 530 | operator=(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’ make[1]: [CMakeFiles/Makefile2:93: CMakeFiles/fastllm.dir/all] Error 2 make[1]: Waiting for unfinished jobs.... make[2]: [CMakeFiles/fastllm_tools.dir/build.make:217: CMakeFiles/fastllm_tools.dir/src/devices/cuda/fastllm-cuda.cu.o] Error 1 make[2]: Waiting for unfinished jobs.... make[1]: [CMakeFiles/Makefile2:223: CMakeFiles/fastllm_tools.dir/all] Error 2 make: [Makefile:91: all] Error 2

walker83 commented 1 year ago

我也遇到了同样的问题，是由于

修改文件：CMakeLists.txt

整句话： CMAKE_CUDA_ARCHITECTURES

默认的这句话不好使：

set(CMAKE_CUDA_ARCHITECTURES "native") 命令告诉 CMake 为你系统的本地 GPU 架构生成设备代码。这将确保你的应用程序能够在你的 GPU 上以最佳性能运行。

native 参数是 CMake 3.24 中添加的新功能。在 CMake 3.23 之前，你必须指定具体的 GPU 架构。例如，要为架构 70 的 GPU 生成代码，你必须使用以下命令：

set(CMAKE_CUDA_ARCHITECTURES "90") native 参数使指定 GPU 架构变得更加容易。它还使你的代码更具移植性，因为它将针对你的系统的本地 GPU 架构进行编译。

如果你不确定应该使用哪个 GPU 架构，你可以使用 nvcc --list-gpu-arch 命令来查看你的系统支持的架构。

nvcc --list-gpu-arch compute_50 compute_52 compute_53 compute_60 compute_61 compute_62 compute_70 compute_72 compute_75 compute_80 compute_86 compute_87 compute_89 compute_90