vl_compilenn error in MatConvNet using GPU

Hi, whenever I try to run vl_compilenn using gpu using MatConvNet toolbox the below error comes.

Config : cuda-10.1, cudnn-7.6.5, matlab2020a, visual studio 2015

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nvcc warning : The -std=c++11 flag is not supported with the configured host compiler. Flag will be ignored.

data.cu

vl_compilenn: NVCC CC: "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc" -c -o "E:\TargetAwareDT\TADT-master\matconvnet_latest\matlab\mex\.build\bits\datamex.obj" "E:\TargetAwareDT\TADT-master\matconvnet_latest\matlab\src\bits\datamex.cu" -DENABLE_GPU -DENABLE_DOUBLE -DENABLE_CUDNN -I"E:\CUDA_CUDNN\cuda10.1\cudnn7.6.5\include" -O0 -DNDEBUG -D_FORCE_INLINES --std=c++11 -I"E:\matlab_install\extern\include" -I"E:\matlab_install\toolbox\distcomp\gpu\extern\include" -gencode=arch=compute_50,code=\"sm_50,compute_50\" --compiler-options=/MD --compiler-bindir="E:\MicrosoftVisualStudio15.0_install\VC\bin"

e:\targetawaredt\tadt-master\matconvnet_latest\matlab\src\bits\datamex.hpp(19): fatal error C1083: Cannot open include file: 'gpu/mxGPUArray.h': No such file or directory

nvcc warning : The -std=c++11 flag is not supported with the configured host compiler. Flag will be ignored.

datamex.cu

Error using vl_compilenn>nvcc_compile (line 620)

Command "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc" -c -o

"E:\TargetAwareDT\TADT-master\matconvnet_latest\matlab\mex\.build\bits\datamex.obj"

"E:\TargetAwareDT\TADT-master\matconvnet_latest\matlab\src\bits\datamex.cu" -DENABLE_GPU

-DENABLE_DOUBLE -DENABLE_CUDNN -I"E:\CUDA_CUDNN\cuda10.1\cudnn7.6.5\include" -O0

-DNDEBUG -D_FORCE_INLINES --std=c++11 -I"E:\matlab_install\extern\include"

-I"E:\matlab_install\toolbox\distcomp\gpu\extern\include"

-gencode=arch=compute_50,code=\"sm_50,compute_50\" --compiler-options=/MD

--compiler-bindir="E:\MicrosoftVisualStudio15.0_install\VC\bin" failed.

Error in vl_compilenn (line 492)

nvcc_compile(opts, srcs{i}, objfile, flags) ;

Answer 1

[Tarunbir Gambhir]

It looks like 'vl_compilenn' is from a third-party repo called 'MatConvNet' which has its own forums. You can try looking for a solution there.