一、出现问题

我在使用官方案例的时候，使用VS2022+CMake管理编译的时候出现如下的错误：

官方CMakeLists.txt：

cmake_minimum_required(VERSION 3.9)set(ROUTINE bicgstab)project("${ROUTINE}_example"DESCRIPTION  "GPU-Accelerated Sparse Linear Algebra"HOMEPAGE_URL "https://docs.nvidia.com/cuda/cusparse/index.html"LANGUAGES    C CXX CUDA)find_package(CUDA REQUIRED)add_executable(${ROUTINE}_example)target_sources(${ROUTINE}_examplePUBLIC ${PROJECT_SOURCE_DIR}/${ROUTINE}_example.c
)target_include_directories(${ROUTINE}_examplePUBLIC ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}
)link_directories(${CUDA_LIB_PATH})
message(STATUS ${CUDA_LIB_PATH})
target_link_libraries(${ROUTINE}_examplePUBLIC cudart cusparse cublas
)

二、解决问题

开始我觉得是不是find_package(CUDA REQUIRED)这里有一些bug，不能将CUDA一些库的目录正确设置，所以我又添加了:

link_directories("C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3\lib\x64")

然后无效!

我在互联网上查找原因，发现可能是由于目录有空格导致的，需要在空格前使用转移字符：\

link_directories("C:\Program/ Files\NVIDIA/ GPU/ Computing/ Toolkit\CUDA\v12.3\lib\x64")

然后仍然无效!！

关键方案

---

然后查找官方文档：（有这么一段）链接
CUDA Runtime Library
The CUDA Runtime library (cudart) are what most applications will typically need to link against to make any calls such as cudaMalloc, and cudaFree.
Targets Created:
CUDA::cudart
CUDA::cudart_static

---

于是最后我的CMakeLists.txt改写成如下：

cmake_minimum_required(VERSION 3.9)set(ROUTINE bicgstab)project("${ROUTINE}_example"DESCRIPTION  "GPU-Accelerated Sparse Linear Algebra"HOMEPAGE_URL "https://docs.nvidia.com/cuda/cusparse/index.html"LANGUAGES    C CXX CUDA)find_package(CUDAToolkit REQUIRED)add_executable(${ROUTINE}_example)target_sources(${ROUTINE}_examplePUBLIC ${PROJECT_SOURCE_DIR}/${ROUTINE}_example.c
)target_include_directories(${ROUTINE}_examplePUBLIC ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}
)link_directories(${CUDA_LIB_PATH})
message(STATUS ${CUDA_LIB_PATH})
target_link_libraries(${ROUTINE}_examplePUBLIC CUDA::cudart CUDA::cusparse CUDA::cublas
)

完成编译并运行！