Repository for studying Caffe deep learning framework.
- Visual studio 2017
- Cuda version 9.2
- cuDNN version 7.6.1
- python 3.5.x
- CMake 3.4 or higher
- Boost 1.65.1 msvc 14.0 x64
- MSBuild 2015
- First, you have to download or clone this archive and unzip these
- I will call root folder of this repository as
$CAFFE$
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Install Visual studio 2017 (Or higher)
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And then, install Cuda version 9.2 and cuDNN 7.6.1 (Which compatiable with cuda version)
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You have to modify ./cmake/Cuda.cmake to proper SM version of your GPU device. (line 7 and 44)
7 set(Caffe_known_gpu_archs "30 35 50 60 61") 44 set(__nvcc_out "6.1") -
Install python with version 3.5.x (Must!) and numpy
pip install numpy -
Must add or check Path Variables of Cuda and python
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Install Boost 1.65.1 for msvc 14.0
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Install MSBuild 2015
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At CMD (Command line) change folder to
$CAFFE$ and type like this to build Caffe for window./scripts/build_win.cmd -
Then, in
$CAFFE$ there are new folder "build" -
Open Caffe.sln in "build" folder
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Build all projects of solutions by "Release" mode