参考: FindCUDAToolkit - CMake 3.24.0 Documentation有: CMakeLists.txt cmake_minimum_required ( VERSION 3.20 ) project ( testprj ) find_package ( CUDAToolkit ) message ( STATUS "CUDAToolkit_FOUN…
find_package(CUDA 11.0 REQUIRED) include_directories(${CUDA_INCLUDE_DIRS}) find_package(CUDAToolkit 11.0 REQUIRED) include_directories(${CUDAToolkit_INCLUDE_DIRS}) set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler=${OpenMP_CXX_FLAGS} -Xcompiler=-fPIC -Xcompiler=-Wall") # reference for ma...
-- Found CUDAToolkit: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/include (found version "11.6.124") -- my_import_targets=CUDA::toolkit;CUDA::cuda_driver;CUDA::cudart;CUDA::cudart_static;CUDA::cudart_static_deps;CUDA::cublasLt;CUDA::cublas;CUDA::cufft;CUDA::curand;CUDA::cu...
我正在尝试构建一个需要 CUDA 的程序。对于我提供的 CMake 脚本: cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. 找到CUDA,CMake正常运行: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. -- Found CUDA: /usr/local/cuda (found version "6....
include(CheckLanguage) check_language(CUDA) if(CMAKE_CUDA_COMPILER) enable_language(CUDA) However FindCUDA is deprecatedThe current recommendation is to use CUDA as a language via enable_language(CUDA)Also FindCUDAToolkit is recommended for finding CUDA Toolkit componentsja...
CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done CMake Error at /usr/share/cmake/Modules/FindCUDA.cmake:488 (message): Specify CUDA_TOOLKIT_ROOT_DIR Call Stack (most recent call first): CMakeLists.txt:20 (find_package...
Could NOT find CUDA: Found unsuitable version “12.2”, but required is exact version “11.4” (found /usr/local/cuda) Call Stack (most recent call first): /usr/local/share/cmake-3.26/Modules/FindPackageHandleStandardArgs.cmake:598 (_FPHSA_FAILURE_MESSAGE) ...
请注意,根据您的Visual Studio和CUDA版本,路径可能会有所不同。 通过以上步骤,您应该能够解决“cmake no cuda toolset found”的问题。如果问题仍然存在,请考虑检查您的系统环境变量设置或重新安装CUDA Toolkit和Visual Studio。
将/path/to/cuda替换为你实际安装的CUDA工具集的路径。 检查环境变量配置。在Windows环境中,确保已正确配置CUDA工具集的环境变量。可以在系统环境变量或者用户环境变量中添加CUDA的安装路径,例如"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4"。然后重新启动CMake或者重新打开命令行窗口,以使环境变量生效...
在编辑环境变量对话框中,点击"新建",然后添加CUDA库所在的路径(例如:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\bin)。 点击"确定"保存修改。 CMakeLists.txt文件配置错误:确保在项目的CMakeLists.txt文件中正确配置了CUDA相关的选项。以下是一个示例配置:find_package(CUDA REQUIRED) include_directorie...