henryace
commented
6 years ago You can compile with Visual Studio 2013/2015, CUDA 8.0 and cudnn 5.1.
Open cuixing158 opened 6 years ago
henryace
commented
6 years ago You can compile with Visual Studio 2013/2015, CUDA 8.0 and cudnn 5.1.
cuixing158
commented
6 years ago Thank you!
whu-lyh
commented
6 years ago hello，there。i meet the same problems just like yours, can u tell me how to fix this trouble? thanks
henryace
commented
6 years ago This version supports Visual Studio 2013, CUDA 8.0 and cudnn 5.1 only. If you want to install with cuda9.0, please use official version https://github.com/BVLC/caffe . You need to do every things from beginning.
happynear
commented
6 years ago I am using CUDA 9.0 now. What you need to do is to change the setting in the CommonSettings.props file from
<CudaVersion>8.0</CudaVersion>to
<CudaVersion>9.0</CudaVersion>or other versions you installed. Then close visual studio and re-open it.
happynear
commented
6 years ago The old boost library is not compatible with CUDA >9.0. Please download the new thirdparty.rar file.
whu-lyh
commented
6 years ago ok，thanks。i know the problems，i‘m using Visual Studio 2015...so，obviously i meet this trouble。Emmm...what should i do if using vs2015？and by the way ,i'v complie caffe in ubuntu16.04+cuda9.0+cudnn
cuixing158
commented
6 years ago I see that you have updated the “thirdparty.rar” file to support cuda9.0, but in turn CUDA 8.0 is compatible? @happynear
wuqingshan2010
commented
5 years ago firstly, thank you for @happynear. @cuixing158 @whu-lyh @pluskid @cuixing158, i have built sucessfully caffe-window with cuda10.0 and cudnn7.3.0.
to-be-snail
commented
5 years ago Hello，can I ask a few questions about built caffe-window with VS2017 and cuda10.0 @wuqingshan2010
Ancho5515
commented
5 years ago @wuqingshan2010 I meet some problem with cuda10, can you share your solution with it?
我配置文件写好路径后，出现如下错误，是cuda9.0不适合呢？ C:\caffe\caffe-windows-ms\windows\thirdparty\Boost\boost/config/compiler/nvcc.hpp(22): fatal error C1017: 无效的整数常量表达式 1> base_data_layer.cu 1>C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V140\BuildCustomizations\CUDA 9.0.targets(707,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" -gencode=arch=compute_60,code=\"sm_60,compute_60\" --use-local-env --cl-version 2015 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\x86_amd64" -x cu -I"C:\caffe\caffe-windows-ms\windows\libcaffe\....\src\" -I"C:\caffe\caffe-windows-ms\windows\libcaffe\....\3rdparty\" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include" --keep-dir C:\caffe\caffe-windows-ms\windows..\Build\Int\libcaffe\x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -Xcompiler "/wd 4819" -Xcudafe "--diag_suppress=exception_spec_override_incompat --diag_suppress=useless_using_declaration --diag_suppress=field_without_dll_interface" -D_SCL_SECURE_NO_WARNINGS -DGFLAGS_DLL_DECL= -DNDEBUG -D_SCL_SECURE_NO_WARNINGS -DUSE_OPENCV -DUSE_LEVELDB -DUSE_LMDB -DMATLAB_MEX_FILE -DWITH_PYTHON_LAYER -DBOOST_PYTHON_STATIC_LIB -DUSE_NCCL -DUSE_CUDNN -D_UNICODE -DUNICODE -Xcompiler "/EHsc /W1 /nologo /Ox /FS /Zi /MD " -o C:\caffe\caffe-windows-ms\windows..\Build\Int\libcaffe\x64\Release\conv_layer.cu.obj "C:\caffe\caffe-windows-ms\src\caffe\layers\conv_layer.cu"”已退出，返回代码为 2。