Having problem In MatConvNet to Compiling the cuDNN support.
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I am using MATLAB R2015b in Windows 7 64 bits. My GPU information is -
Name: 'GeForce GTX 650'
Index: 1
ComputeCapability: '3.0'
SupportsDouble: 1
DriverVersion: 7
ToolkitVersion: 7
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 1.0737e+09
AvailableMemory: 723587072
MultiprocessorCount: 2
ClockRateKHz: 1058500
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
I am using following command -
vl_compilenn('enableGpu', true, ...
'cudaMethod', 'nvcc', ...
'cudaRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0', ...
'enableCudnn', true, ...
'cudnnRoot', 'local/cudnn') ;
Having following error -
Warning: Setting the 'MW_NVCC_PATH' environment variable to 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0\bin\nvcc'
> In vl_compilenn>activate_nvcc (line 635)
In vl_compilenn (line 260)
Warning: NVCC not found in the command line path or the one found does not matches 'C:\Program Files\NVIDIA GPU Computing
Toolkit\CUDA\v7.0\bin\nvcc'.
> In vl_compilenn>activate_nvcc (line 644)
In vl_compilenn (line 260)
Location of NVCC (C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0\bin) added to your command search PATH.
vl_compilenn: CUDA: MEX config file: 'C:\Program Files\MATLAB\R2015b\toolbox\distcomp\gpu\extern\src\mex\win64\mex_CUDA_win64.xml'
nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified
Error using vl_compilenn>nvcc_compile (line 483)
Command "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0\bin\nvcc" -c "C:\Users\Mannan\Documents\MATLAB\Deep
Learning\MatConvNet\matlab\src\bits\data.cu" -DNDEBUG -DENABLE_GPU -DENABLE_CUDNN -IC:\Users\Mannan\Documents\MATLAB\Deep
Learning\MatConvNet\Cudnn\cuda\include -D__SSSE3__ -I"C:\Program Files\MATLAB\R2015b\extern\include" -I"C:\Program
Files\MATLAB\R2015b\toolbox\distcomp\gpu\extern\include" -Xcompiler /MD -gencode=arch=compute_30,code=\"sm_30,compute_30\" -o
"C:\Users\Mannan\Documents\MATLAB\Deep Learning\MatConvNet\matlab\mex\.build\bits\data.obj" failed.
I have tried a lot to solve the problem. Please Help me!!!
Accepted Answer
More Answers (1)
Walter Roberson
on 24 Jan 2016
0 votes
I do not know what the solution is, but I see from http://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/#supported-phases that the -c compile flag that was used is for C or C++ source, whereas only a .cu source is present. It appears that -cuda would be needed to compile a .cu source into C or C++ that could then be compiled with -c
2 Comments
Mr. Sumon
on 24 Jan 2016
Walter Roberson
on 24 Jan 2016
This is not something I can test. The source in the File Exchange is documented as working for OS-X and Linux. Use with MS Windows might require adaptation, but I actively avoid booting MS Windows so I cannot (will not) test that.
The people who seem to be having some success appear to be using MingW; see for example http://uk.mathworks.com/matlabcentral/answers/261684-run-matlab-vl_compilenn-show-error
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