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LNK2038,MSVS2017 MAGMA的原因列表

[英]List of causes for LNK2038, MSVS2017 MAGMA

My goal is by compiling (pun not intended) a list of causes for LNK2038 "mismatch detected for '_ITERATOR_DEBUG_LEVEL': value '0' doesn't match value '2'" that others may follow methodically to debug their own situations, my situation will be resolved 我的目标是通过编译(无济于事)LNK2038“检测到'_ITERATOR_DEBUG_LEVEL'的不匹配:值'0'与值'2'不匹配”的原因列表,其他人可能会循序渐进地调试他们自己的情况,我的情况将解决

My situation: 我的情况:

Requirements: 要求:

  • Windows 10 Windows 10
  • CMake CMake的
  • MSVS 2017 MSVS 2017
  • Intel Paralax Studio XE 英特尔Paralax Studio XE
  • CUDA 卡达

To reproduce: 复制:

  1. Download MAGMA 下载MAGMA
  2. Run CMake GUI 运行CMake GUI

    • Manually set GPU_TARGET=Pascal (My Card: GeForce GTX 1070 Compute Capability: 6.1) 手动设置GPU_TARGET=Pascal (我的卡:GeForce GTX 1070计算能力:6.1)
    • Manually set MKLROOT=D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl (as instructed in the README-Windows) 手动设置MKLROOT=D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl (如README-Windows中所述)
    • LAPACK_LIBRARIES: use https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor to determine LAPACK_LIBRARIES:使用https://software.intel.com/zh-CN/articles/intel-mkl-link-line-advisor确定

      • My choice 我的选择
      • D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_intel_lp64.lib;D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_intel_thread.lib;D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_core.lib;D:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2019.0.117/windows/compiler/lib/intel64_win/libiomp5md.lib
  3. From the generated VS solution, compile in Debug mode magma and magma_sparse projects (no need to compile the 600+ test projects) 从生成的VS解决方案中,以Debug模式编译magmamagma_sparse项目(无需编译600多个测试项目)

  4. In a separate folder put the example code and the CMakeLists.txt 在单独的文件夹中放入示例代码CMakeLists.txt

     add_executable(magma-test example_sparse.cpp) find_package( CUDA ) # just to set CUDA_INCLUDE_DIRS target_include_directories(magma-test PUBLIC D:/Work/Magma/magma-2.4.0/include D:/Work/Magma/magma-2.4.0/sparse/include ${CUDA_INCLUDE_DIRS}) target_link_libraries(magma-test debug D:/Work/Magma/magma-2.4.0/build/lib/Debug/magma.lib debug D:/Work/Magma/magma-2.4.0/build/lib/Debug/magma_sparse.lib) set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /MT") set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /MTd") 
  5. Run CMake (Configure, Generate) 运行CMake(配置,生成)

  6. Open VS solution, and compile in Debug mode 打开VS解决方案,并在Debug模式下进行编译

Problematic outcome: 有问题的结果:

1>magma_sparse.lib(magma_sparse_generated_djacobisetup.cu.obj) : error LNK2038: mismatch detected for '_ITERATOR_DEBUG_LEVEL': value '0' doesn't match value '2' in magma.lib(interface.obj)

1>magma_sparse.lib(magma_sparse_generated_djacobisetup.cu.obj) : error LNK2038: mismatch detected for 'RuntimeLibrary': value 'MT_StaticRelease' doesn't match value 'MTd_StaticDebug' in magma.lib(interface.obj)

---------- ----------

Things to check upon LNK2038: LNK2038检查事项:

  1. All dependencies (*.lib files) were compiled with the same "Debug/Release" flags 所有依赖项(* .lib文件)都使用相同的“ Debug / Release”标志进行编译
    • Double check the dependencies actually being used by Right-click on your Project -> Properties -> Linker -> Input -> Additional Dependencies 右键单击项目->属性->链接器->输入->其他依赖项,仔细检查实际使用的依赖项
    • Go to each dependency project and to your project, and check the build flags by Right-click on Project -> Properties -> C/C++ -> Code Generation -> Runtime Library 转到每个依赖项项目以及您的项目,然后通过右键单击Project-> Properties-> C / C ++-> Code Generation-> Runtime Library来检查构建标志。

A CMakeLists.txt that "resolves" the above error, compiles and runs is: 一个“解决”以上错误,编译并运行的CMakeLists.txt是:

add_executable(magma-test example_sparse.cpp)

find_package( CUDA ) 
set( MKLROOT "D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl" )
set( LAPACK_LIBRARIES 
   "D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_intel_lp64.lib"
   "D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_intel_thread.lib"
   "D:/Program Files (x86)/IntelSWTools/parallel_studio_xe_2019.0.045/compilers_and_libraries_2019/windows/mkl/lib/intel64_win/mkl_core.lib"
   "D:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2019.0.117/windows/compiler/lib/intel64_win/libiomp5md.lib")

target_include_directories(magma-test PUBLIC 
   "D:/Work/Magma/magma-2.4.0/include" 
   "D:/Work/Magma/magma-2.4.0/sparse/include" 
   ${CUDA_INCLUDE_DIRS}
   ${MKLROOT}/include)
target_link_libraries(magma-test 
   ${CUDA_CUDART_LIBRARY}
   ${CUDA_CUBLAS_LIBRARIES}
   ${CUDA_cusparse_LIBRARY}
   ${LAPACK_LIBRARIES}
   debug D:/Work/Magma/magma-2.4.0/build/lib/Debug/magma.lib 
   debug D:/Work/Magma/magma-2.4.0/build/lib/Debug/magma_sparse.lib
   optimized D:/Work/Magma/magma-2.4.0/build/lib/Release/magma.lib 
   optimized D:/Work/Magma/magma-2.4.0/build/lib/Release/magma_sparse.lib)

set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /MT")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /MTd")

The CUDA and MKL libraries that MAGMA uses upon compilation seemingly also have to be provided for code that uses MAGMA libraries 似乎还必须为使用MAGMA库的代码提供MAGMA在编译时使用的CUDA和MKL库

EDIT: Wait, no. 编辑:等等,不。 It's compiling and running in Release, but not in Debug.. 它是在Release中编译和运行的,但不是在Debug中运行的。

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