代码
main.cpp
#include <iostream>#ifdef HAVE_CUDA
#include <cuda_runtime.h>
#include <cuda.h>
#endifint main() {std::cout << "Checking CUDA availability..." << std::endl;#ifdef HAVE_CUDAint deviceCount = 0;cudaError_t error_id = cudaGetDeviceCount(&deviceCount);if (error_id != cudaSuccess) {std::cerr << "cudaGetDeviceCount returned " << static_cast<int>(error_id) << std::endl;std::cerr << "CUDA is not available." << std::endl;return 1;}if (deviceCount == 0) {std::cerr << "There is no device supporting CUDA." << std::endl;} else {std::cout << "CUDA is available. Version: " << CUDA_VERSION << std::endl;}
#elsestd::cerr << "CUDA is not available." << std::endl;
#endifreturn 0;
}
CMakeLists.txt
cmake_minimum_required(VERSION 3.10)
project(cuda_check)# Check for CUDA availability
find_package(CUDA)
if(CUDA_FOUND)add_definitions(-DHAVE_CUDA)include_directories(${CUDA_INCLUDE_DIRS})link_libraries(${CUDA_LIBRARIES})
endif()add_executable(cuda_check main.cpp)
输出说明
编译运行代码后，示例输出如下
Checking CUDA availability...
CUDA is available. Version: 11080
其中 11080 表示 cuda-11.8 版本
参考资料
How to Get CUDA Toolkit Version at Compile Time Without nvcc?
https://stackoverflow.com/questions/37970880/how-to-get-cuda-toolkit-version-at-compile-time-without-nvcc
【GPU】linux 安装、卸载 nvidia 显卡驱动、cuda 的官方文档、推荐方式（runfile）
https://blog.csdn.net/weixin_43667077/article/details/134813826
Ubuntu中多版本CUDA切换：
https://blog.csdn.net/sinat_40245632/article/details/109330182
