基于CMake正确链接Armadillo库的技术问询（Windows+MinGW）

在Windows系统使用MinGW编译器搭建基于Armadillo库的C++项目，基础程序可正常运行，但添加依赖Armadillo的自定义库后，运行时提示：

The code execution cannot proceed because the libopenblas.dll was not found. Reinstalling the program may fix this problem.

需解决两个问题：

1. 如何通过CMake正确链接Armadillo库？
2. 是否可以使用Armadillo提供的预编译libopenblas.lib，还是必须单独安装BLAS/LAPACK/OPENBLAS？

项目文件结构 #

ProjectDIR
 |
 +-- CMakeLists.txt
 +-- test.cxx
 +-- testConfig.h.in
 +-- thirdParty
     |
     +-- armadillo
         |
         +-- include
         +-- lib_win64

注：armadillo/include来自armadillo-14.0.3安装包，armadillo/lib_win64来自该版本的示例文件。

项目代码文件 #

test.cxx #

#include <iostream>
#include <armadillo>

#include "testConfig.h"

int main()
{
    arma::mat A = {{1.0, 2.0, 3.0},{4.0, 5.0, 6.0},{7.0, 8.0, 9.0}};
    std::cout << "A:\n" << A << std::endl;

    std::cout << "A.t():\n" << A.t() << std::endl;

    std::cout << "A*A.t():\n" << A*A.t() << std::endl;

    return 0;
}

testConfig.h.in #

#define MyLatestFrustration_VERSION_MAJOR @MyLatestFrustration_VERSION_MAJOR@
#define MyLatestFrustration_VERSION_MINOR @MyLatestFrustration_VERSION_MINOR@

顶层CMakeLists.txt #

cmake_minimum_required(VERSION 3.15)

project(MyLatestFrustration VERSION 0.1)

add_library(CompilerFlags INTERFACE)
target_compile_features(CompilerFlags INTERFACE cxx_std_11)

configure_file(testConfig.h.in testConfig.h)

add_executable(MyLatestFrustration test.cxx)

include_directories(${CMAKE_CURRENT_SOURCE_DIR}/thirdParty/armadillo/include)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/thirdParty/armadillo/lib_win64)

#add_subdirectory(custom)

target_link_libraries(MyLatestFrustration PUBLIC
                        CompilerFlags
                        ${CMAKE_CURRENT_SOURCE_DIR}/thirdParty/armadillo/lib_win64/libopenblas.lib
                    )

target_include_directories(MyLatestFrustration PUBLIC "${PROJECT_BINARY_DIR}")

自定义库custom相关文件 #

启用自定义库时，需取消顶层CMakeLists.txt中add_subdirectory(custom)的注释，将MatrixFunctions加入target_link_libraries，并修改test.cxx引入matrices.h并调用f1函数。此时编译正常，但运行时出现DLL缺失错误。

matrices.h #

#pragma once

#include <armadillo>

arma::mat f1(arma::mat A);

matrices.cxx #

#include "matrices.h"

arma::mat f1(arma::mat A)
{
   arma::mat B = A*A.t();
   return B;
}

自定义库CMakeLists.txt #

add_library(MatrixFunctions matrices.cxx)

target_include_directories(MatrixFunctions INTERFACE ${CMAKE_CURRENT_SOURCE_DIR})

target_link_libraries(MatrixFunctions PUBLIC CompilerFlags)

1. CMake正确链接Armadillo库的方法 #

改用现代CMake语法优化配置 #

避免全局include_directories，改用目标级别的依赖管理，确保自定义库能继承Armadillo的链接依赖：

修改顶层CMakeLists.txt

cmake_minimum_required(VERSION 3.15)

project(MyLatestFrustration VERSION 0.1)

add_library(CompilerFlags INTERFACE)
target_compile_features(CompilerFlags INTERFACE cxx_std_11)

configure_file(testConfig.h.in testConfig.h)

# 定义Armadillo路径
set(ARMADILLO_INCLUDE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/thirdParty/armadillo/include)
set(ARMADILLO_LIB_DIR ${CMAKE_CURRENT_SOURCE_DIR}/thirdParty/armadillo/lib_win64)

# 创建Armadillo接口库，统一管理依赖
add_library(Armadillo INTERFACE)
target_include_directories(Armadillo INTERFACE ${ARMADILLO_INCLUDE_DIR})
target_link_libraries(Armadillo INTERFACE ${ARMADILLO_LIB_DIR}/libopenblas.lib)

add_executable(MyLatestFrustration test.cxx)

add_subdirectory(custom) # 启用自定义库

target_link_libraries(MyLatestFrustration PUBLIC
                        CompilerFlags
                        Armadillo
                        MatrixFunctions
                    )

target_include_directories(MyLatestFrustration PUBLIC "${PROJECT_BINARY_DIR}")

# 自动复制DLL到可执行文件目录，解决运行时缺失问题
add_custom_command(TARGET MyLatestFrustration POST_BUILD
    COMMAND ${CMAKE_COMMAND} -E copy_if_different
        ${ARMADILLO_LIB_DIR}/libopenblas.dll
        $<TARGET_FILE_DIR:MyLatestFrustration>
)

修改自定义库CMakeLists.txt

让自定义库链接Armadillo，确保依赖传递：

add_library(MatrixFunctions matrices.cxx)

target_include_directories(MatrixFunctions INTERFACE ${CMAKE_CURRENT_SOURCE_DIR})

target_link_libraries(MatrixFunctions PUBLIC CompilerFlags Armadillo)

2. 预编译库的使用说明 #

可以直接使用Armadillo提供的预编译libopenblas.lib，无需单独安装BLAS/LAPACK/OpenBLAS，但需注意：

• 确保预编译库的架构与你的编译器匹配：你使用MinGW 64位，需对应lib_win64下的库；
• libopenblas.lib是动态链接库的导入库，运行时必须拥有对应的libopenblas.dll文件；
• 若后续需要更高性能或特定功能，也可自行编译OpenBLAS或使用其他实现（如MKL），但预编译库已能满足基础需求。

内容的提问来源于stack exchange，提问作者James