You must define TF_LIB_GTL_ALIGNED_CHAR_ARRAY for your compiler
You must define TF_LIB_GTL_ALIGNED_CHAR_ARRAY for your compiler
// matmul.h
#pragma once
#define COMPILER_MSVC
#define NOMINMAX
https://www.jianshu.com/p/052c0a669337
从上一篇的Tensorflow win10 c++ 运行 python训练出的模型，按照Tensorflow官网给出的cmake构建和编译方案，我们实际编译了tensorflow的c++库，能够运行官方的example。那么新建一个单独的工程需要进行一定的配置。
源代码使用官方的源码main.cc
这份代码包含了读取模型，读取图片数据，进行模型预测等，足够满足简单的tensorflow功能需求。
注意的是，需要在代码头部加上
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#define COMPILER_MSVC
-
#define NOMINMAX
-
原因如这篇博客所述
If you omit the COMPILER_MSVC definition, you will run into an error saying “You must define TF_LIB_GTL_ALIGNED_CHAR_ARRAY for your compiler.” If you omit the NOMINMAX definition, you will run into a number of errors saying “’(‘: illegal token on right side of ‘::’”. (The reason for this is that <Windows.h> gets included somewhere, and Windows has macros that redefine min and max. These macros are disabled with NOMINMAX.)
工程属性设置
接下来配置文件，首先本文同步的tensorflow源代码位置为D:\Projects\tensorflow。
附加包含路径
设置对应如下的包含路径，可以通过直接编辑官方例子tf_label_image_example.vcxproj到自己的工程文件
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D:\Projects\tensorflow
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\zlib_archive
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\gif_archive\giflib-5.1.4
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\png_archive
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\jpeg_archive
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\eigen_archive
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D:\Projects\tensorflow\third_party\eigen3
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\gemmlowp\src\gemmlowp
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\jsoncpp\src\jsoncpp
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\farmhash_archive
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\farmhash_archive\util
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\external\highwayhash
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\protobuf\src\protobuf\src
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\grpc\src\grpc\include
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链接设置
按照tf_label_image_example.vcxproj添加依赖项目，按照博客添加额外依赖路径
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kernel32.lib
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user32.lib
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gdi32.lib
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winspool.lib
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shell32.lib
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ole32.lib
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oleaut32.lib
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uuid.lib
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comdlg32.lib
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advapi32.lib
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Release\tf_protos_cc.lib
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zlib\install\lib\zlibstatic.lib
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gif\install\lib\giflib.lib
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png\install\lib\libpng12_static.lib
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jpeg\install\lib\libjpeg.lib
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jsoncpp\src\jsoncpp\src\lib_json\$(Configuration)\jsoncpp.lib
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farmhash\install\lib\farmhash.lib
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fft2d\\src\lib\fft2d.lib
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highwayhash\install\lib\highwayhash.lib
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protobuf\src\protobuf\$(Configuration)\libprotobuf.lib
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grpc\src\grpc\$(Configuration)\grpc++_unsecure.lib
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grpc\src\grpc\$(Configuration)\grpc_unsecure.lib
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grpc\src\grpc\$(Configuration)\gpr.lib
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wsock32.lib
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ws2_32.lib
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shlwapi.lib
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\protobuf\src\protobuf\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_cc.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_cc_ops.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_cc_framework.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_cpu.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_direct_session.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_framework.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_kernels.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_lib.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_ops.dir\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build\Release
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D:\Projects\tensorflow\tensorflow\contrib\cmake\build
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添加预编译好的obj文件，在tf_label_image_example.vcxproj文件中找到<Object Include="D:\Projects\tensorflow\tensorflow\contrib\cmake\build\tf_core_lib.dir\$(Configuration)\arena.obj" />
开头的一长串语句，复制到我们工程目录中vcxproj的相应位置。
至此，程序就可以编译调试了。
作者：菜鸟游侠k2
链接：https://www.jianshu.com/p/052c0a669337
來源：简书
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文章来源: blog.csdn.net，作者：网奇，版权归原作者所有，如需转载，请联系作者。
原文链接：blog.csdn.net/jacke121/article/details/80397199
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