Sorry that I need to come back to this problem again. When I did vlcompilenn all compiles are ok, but if I do vlcompilenn('enableGpu', true) After several successful comples, I will have a fatal error saying Building with 'Microsoft Visual C 2012'. MEX completed successfully. Building with 'Microsoft Visual C 2012'. MEX completed successfully. Building with 'Microsoft Visual C 2012'. MEX completed successfully.
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Building with 'Microsoft Visual C 2012'. MEX completed successfully. Nvcc: fatal error: nvcc cannot find a supported version of Microsoft Visual Studio. Only the versions 2008, 2010, and 2012 are supported Error using vlcompilennnvcccompile (line 371) Command 'C: Program Files NVIDIA GPU Computing Toolkit CUDA v5.5 bin nvcc' -c 'C: Users Administrator Documents MATLAB matconvnet-v1b8 matlab src bits im2colgpu.cu' -gencode=arch=compute35,code= 'sm35,compute35 ' -DENABLEGPU -I'C: Program Files MATLAB R2014a extern include' -I'C: Program Files MATLAB R2014a toolbox distcomp gpu extern include' -O3 -DNDEBUG -Xcompiler /MD -o 'C: Users Administrator Documents MATLAB matconvnet-v1b8 matlab mex.build im2colgpu.obj' failed. Error in vlcompilenn (line 285) cuobjfiles = nvcccompile(opts, cusrc, blddir, nvccopts); But obviously I have vs installed.
Could you suggest some solutions? I have win server 2012 + matlab 2014a. Sorry that I need to come back to this problem again.
When I did vlcompilenn all compiles are ok, but if I do vlcompilenn('enableGpu', true) After several successful comples, I will have a fatal error saying Building with 'Microsoft Visual C 2012'. MEX completed successfully. Building with 'Microsoft Visual C 2012'. MEX completed successfully. Building with 'Microsoft Visual C 2012'. MEX completed successfully. Building with 'Microsoft Visual C 2012'.
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MEX completed successfully. Nvcc: fatal error: nvcc cannot find a supported version of Microsoft Visual Studio. Only the versions 2008, 2010, and 2012 are supported Error using vlcompilennnvcccompile (line 371) Command 'C: Program Files NVIDIA GPU Computing Toolkit CUDA v5.5 bin nvcc' -c 'C: Users Administrator Documents MATLAB matconvnet-v1b8 matlab src bits im2colgpu.cu' -gencode=arch=compute35,code= 'sm35,compute35 ' -DENABLEGPU -I'C: Program Files MATLAB R2014a extern include' -I'C: Program Files MATLAB R2014a toolbox distcomp gpu extern include' -O3 -DNDEBUG -Xcompiler /MD -o 'C: Users Administrator Documents MATLAB matconvnet-v1b8 matlab mex.build im2colgpu.obj' failed. Error in vlcompilenn (line 285) cuobjfiles = nvcccompile(opts, cusrc, blddir, nvccopts); But obviously I have vs installed. Could you suggest some solutions? I have win server 2012 + matlab 2014a.
First make sure that your Visual Studio directory is in the path, e.g. By running: setenv('PATH', getenv('PATH') ';C: Program Files (x86) Microsoft Visual Studio 10.0 VC bin'); If it didn't help, passing a few extra flags to NVCC did the trick for me, indicating which version of Visual Studio to use, and where it is located (you may have to change the directories). Around line 263 in vlcompilenn.n: nvccopts = nvccgetopts(opts); nvccopts = '-cl-version 2010 -ccbin 'C: Program Files (x86) Microsoft Visual Studio 10.0 VC bin amd64' ' nvccopts ; opts.verbose && fprintf('%s: tCUDA: NVCC compiler options:%s n'.
Mfilename, nvccopts). First make sure that your Visual Studio directory is in the path, e.g. By running: setenv('PATH', getenv('PATH') ';C: Program Files (x86) Microsoft Visual Studio 10.0 VC bin'); If it didn't help, passing a few extra flags to NVCC did the trick for me, indicating which version of Visual Studio to use, and where it is located (you may have to change the directories). Around line 263 in vlcompilenn.n: nvccopts = nvccgetopts(opts); nvccopts = '-cl-version 2010 -ccbin 'C: Program Files (x86) Microsoft Visual Studio 10.0 VC bin amd64' ' nvccopts ; opts.verbose && fprintf('%s: tCUDA: NVCC compiler options:%s n'. Mfilename, nvccopts).
MathWorks today announced (R2013b) of its and product families. R2013b delivers new analysis, design, code generation and implementation and other features in MATLAB and Simulink, two, as well as updates to 79 other products.