cmake最小化实现cuda链接自己的静态库

本人第一次在工作中使用cuda，它有很多很奇怪的行为，所以记录下来。

• 我需要使用另外一个文件中的__device__函数
• 根据官方文档，cuda的库需要编译成静态库才能使用，尝试后失败，各种符号未定义(nvcc报错)
• 根据网上的说法在cmake设定了重定向，但是没用
• 感谢Stackoverflow大佬的示例代码，让我跑成功了
• https://gitlab.kitware.com/cmake/cmake/-/tree/master/Tests/CudaOnly/ResolveDeviceSymbols

project(CudaResolveSymbolOfMySub1)

set(SOURCE_LIST
        include/printHello.cuh src/printHello.cu)
set(SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/include)
set(PUBLIC_HEADER_LIST include/printHello.cuh)
set(BUILD_FOR_PY OFF)

SegModuleBuild(
        ${PROJECT_NAME}
            "${SOURCE_LIST}" "${SOURCE_DIR}"
            "${PUBLIC_HEADER_LIST}" ${BUILD_FOR_PY} OFF
)

cuh:

#ifndef CVCUDAIMPL_PRINTHELLO_CUH
#define CVCUDAIMPL_PRINTHELLO_CUH

extern "C" __device__ void printHello();

#endif //CVCUDAIMPL_PRINTHELLO_CUH

cu:

#include "../include/printHello.cuh"
#include "stdio.h"

__device__ void printHello(){
    printf("sub1 print hello n");
}

cmake:

project(CudaResolveSymbolOfMy CUDA)

#add_subdirectory(sub1)

find_package(CudaResolveSymbolOfMySub1)
add_executable(${PROJECT_NAME} main.cu)

set_target_properties(${PROJECT_NAME}
        PROPERTIES
            CUDA_SEPARABLE_COMPILATION ON
            CUDA_RESOLVE_DEVICE_SYMBOLS ON
            POSITION_INDEPENDENT_CODE ON
)
target_link_libraries(
        ${PROJECT_NAME}
            PRIVATE
                CudaResolveSymbolOfMySub1::CudaResolveSymbolOfMySub1
)

main.cpp

//
// Created by tacom on 22-9-4.
//
#include "printHello.cuh"

__global__ void start(){
    printHello();
}


int main(){
    start<<<1, 2>>>();
    cudaDeviceSynchronize();
}

function(SegModuleBuild
        project_name
        source_list
        source_dir
        public_header_list
        build_for_py
        build_for_shared)

    # project_name: module name
    # source_list: header, src, wrapper or test
    # source_dir: source abs path
    # public_header_list: which header to install
    # build_for_py: use pybind11_add_module or add_library

    if(${build_for_py})
        pybind11_add_module(${project_name} ${source_list})
    elseif(${build_for_shared})
        add_library(${project_name} SHARED ${source_list})
    else()
        add_library(${project_name} STATIC ${source_list})
        target_compile_features(${project_name} PUBLIC cuda_std_11)
    endif()

    target_include_directories(${project_name}
            INTERFACE
            $
            $
    )

    set_target_properties(${project_name}
            PROPERTIES
            PUBLIC_HEADER ${public_header_list}
            CUDA_SEPARABLE_COMPILATION ON  # cu will build by nvcc
            POSITION_INDEPENDENT_CODE ON  # for split __device__ into multi *.a
            LINKER_LANGUAGE CXX
    )

    install(
            TARGETS ${project_name}
            EXPORT ${project_name}Targets
            PUBLIC_HEADER DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}
            RUNTIME DESTINATION bin
            LIBRARY DESTINATION lib
            ARCHIVE DESTINATION lib
    )

    install(
            EXPORT ${project_name}Targets
            FILE ${project_name}Targets.cmake
            DESTINATION ${CMAKE_INSTALL_DATADIR}/${project_name}/cmake
            NAMESPACE ${project_name}::
    )

    configure_package_config_file(
            ${CMAKE_SOURCE_DIR}/cmake/templates/NeedOpenCV.cmake.in
            ${CMAKE_CURRENT_BINARY_DIR}/${project_name}Config.cmake
            INSTALL_DESTINATION ${CMAKE_INSTALL_DATADIR}/${project_name}/cmake
    )

    install(
            FILES ${CMAKE_CURRENT_BINARY_DIR}/${project_name}Config.cmake
            DESTINATION ${CMAKE_INSTALL_DATADIR}/${project_name}/cmake
    )


endfunction()

1. 配置好工具链
2. 把外部cmake的add_subdirectory(sub1)打开，注释后面内容，并安装这个lib,以及head
3. 我的两个cmake设定

set(CMAKE_INSTALL_PREFIX ${CMAKE_CURRENT_BINARY_DIR}/install)  # set file install path
set(CMAKE_PREFIX_PATH ${CMAKE_CURRENT_BINARY_DIR}/install)  # set to find self package

4. 和第二步相反，就能通过编译并且运行了，不是xxx符号找不到错误了

静态链接的lib库:

1. 在编译的时候要使用POSITION_INDEPENDENT_CODE ON告诉cmake保留__device__这些符号
2. 在另外一个__host__调用这个lib里的__device__时，需要告诉nvcc使用重定向CUDA_RESOLVE_DEVICE_SYMBOLS ON