A problem in MatConvNet to Compiling the GPU
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Matlab2017a in Windows10 64 bites. The information of my Gpu:
Name: 'GeForce GTX 1080 Ti'
Index: 1
ComputeCapability: '6.1'
SupportsDouble: 1
DriverVersion: 9.1000
ToolkitVersion: 8
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 1.1811e+10
AvailableMemory: 9.6392e+09
MultiprocessorCount: 28
ClockRateKHz: 1582000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
And I do this:
vl_compilenn('enableGpu', true, ...
'cudaRoot', 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0', ...
'cudaMethod', 'nvcc')
then the error:

the CPU is success.But the GPU has this error. Please help me!I don't what the problem is.Please!
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futao zhang
2018-5-2
1 个评论
Peter Fabri
2019-6-4
编辑:Peter Fabri
2019-6-4
Be sure to compile with the right compiler version here:
I had a similar message when I was trying to compile matconvnet beta25 in 2019a with GCC 6.5 instead of GCC 6.3 as specified to the MATLAB version in the above link... although this translated to a different error message.
After doing so, the solution by Nicholas-Schaub here might help remedy a subsequent error:
https://github.com/vlfeat/matconvnet/issues/1200
Shahzad Ali
2019-11-20
Following combination worked for me:
- MTALAB R2017a Update 4 64-bit (v9.2.0.1226206) --- very important
- Microsoft Visual Studio Professional 2015 Update 3 (v14.0.25431.01)
- CUDA Toolkit v10.0
Once you you have installed above, this command will do the rest of magic:
>> vl_compilenn('enableGpu', true, ...
'cudaRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0', ...
'cudaMethod', 'nvcc')
It was found that the latest MATLAB release (i.e. R2019b) was the main culprit for the failure. By the way, I'm using Nvidia GTX Titan XP with Windows 10 and the good news is I can use the compiled Matconvnet in MATLAB R2019b later.
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