vs2013 win10 Caffe的编译安装(微软版本)

1）下载源码

git clone https://github.com/microsoft/caffe.git

2) 执行官方操作

Requirements: Visual Studio 2013

Pre-Build Steps

Copy .\windows\CommonSettings.props.example to .\windows\CommonSettings.props

By defaults Windows build requires CUDA and cuDNN libraries. Both can be disabled by adjusting build variables in .\windows\CommonSettings.props. Python support is disabled by default, but can be enabled via .\windows\CommonSettings.props as well. 3rd party dependencies required by Caffe are automatically resolved via NuGet.

CUDA

Download CUDA Toolkit 7.5 from nVidia website. If you don't have CUDA installed, you can experiment with CPU_ONLY build. In .\windows\CommonSettings.props set CpuOnlyBuild to true and set UseCuDNN to false.

cuDNN

Download cuDNN v4 or cuDNN v5 from nVidia website. Unpack downloaded zip to %CUDA_PATH% (environment variable set by CUDA installer). Alternatively, you can unpack zip to any location and set CuDnnPath to point to this location in .\windows\CommonSettings.props. CuDnnPath defined in .\windows\CommonSettings.props. Also, you can disable cuDNN by setting UseCuDNN to false in the property file.

3）用vs2013打开.\windows\Caffe.sln,确保所有的项目正常加载，并

把C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\extras\visual_studio_integration\MSBuildExtensions目录下内容复制到

C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V120\BuildCustomizations

4)解决缺包问题

Install-Package glog.overlay-x64_v120_Debug_dynamic -Version 0.3.3.0
Install-Package OpenCV.overlay-x64_v120_Debug -Version 2.4.10
Install-Package OpenCV.overlay-x64_v120 -Version 2.4.10

Install-Package glog.overlay-x64_v120_dynamic -Version 0.3.3.0

如果Install-Package 安装失败可以直接把我已经下载好的包解压的你的NugetPackages目录下

zip压缩包https://download.csdn.net/download/u010087338/14555239（release版）

5) 尝试编译报了一个cannot find #include "caffe/proto/caffe.pb.h"

SOLVED BY MUUPAN!!You need to generate caffe.pb.h manually using protoc as follows.In the directory you installed Caffe toprotoc src/caffe/proto/caffe.proto --cpp_out=.
mkdir include/caffe/proto
mv src/caffe/proto/caffe.pb.h include/caffe/proto

6)再次编译报错error C2220: warning treated as error

To fix, use one of the following techniques
Fix the problems that cause warnings in your project.Compile at a lower warning level—for example, use /W3 instead of /W4.Use a warning pragma to disable or suppress a specific warning.Don't use /WX to compile.

8)还报error : too few arguments in function call D:\code\caffe\include\caffe\util\cudnn.hpp

caffe/include/caffe/util/cudnn.hpp(112): error: too few arguments in function call

解决方案：

#if CUDNN_VERSION_MIN(6, 0, 0)CUDNN_CHECK(cudnnSetConvolution2dDescriptor(*conv,pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION,dataType<Dtype>::type));
#elseCUDNN_CHECK(cudnnSetConvolution2dDescriptor(*conv,pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
#endif

9）编译成功