Having error: 'emlc:compilationError' when using command('coder.checkGpuInstall('gpu','codegen','cudnn','quiet');')
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Hi there, I was trapped in this error within the whole day. I'm using yolo to dectect objects, while I'm just using it but not trying to compile it. So when I used single or multiple CPUs to run the vehicle_Dataset, I found the training process was unable to be accomplished as matlab was out of memory.
So I turned to try to deploy the taining using my GPU, which is Geforce GTX 1060. I installed the new divers for this Graphic card(ver 430.64), CUDA toolkit 10.1, cuDNN v7.5.1 (April 22, 2019) for CUDA 10.1. Then I created
Variable name: CUDA_PATH
Variable value: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
in the system variables. Also, I added
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\lib\x64
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\CUPTI\lib64
in the Path.
All the add-on on this page was also installed:
including "GPU Coder Interface for Deep Learning Libraries support package", Microsoft Visual Studio 2017, "MATLAB Support for MinGW-w64 C/C++ Compiler".
Then, I ran the following code in matlab, which worked very good.
mex -setup:'C:\Program Files\MATLAB\R2018b\bin\win64\mexopts\msvc2017.xml' C -v
mex -setup:'C:\Program Files\MATLAB\R2019a\bin\win64\mexopts\msvc2017.xml' C -v
Then I ran
coder.checkGpuInstall('gpu','codegen','cudnn','quiet');
Matlab inform me as
Error using coder.checkGpuInstall (line 32)
One or more of the system checks did not pass, with the following errors ...
Basic Code Generation: (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
So I click the View report, and it says:
Build error: C++ compiler produced errors. See the Build Log for further details.
While the build logs has 1659 lines... I have attached the ecported reports in tha attachment. So I detected the current setup with coder.checkGpuInstall();
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : PASSED
Basic Code Generation : FAILED (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
So could anyone help me out of this problem? Thanks a lot in advance!
3 Kommentare
Ali Al-Saegh
am 13 Jan. 2021
I have exactly the same problem. Anyone has solved it can help me, please.
Antworten (2)
Majid Farzaneh
am 16 Apr. 2021
I just solved the problem.
You need to first install visual studio 2015 or later (including C++).
Then type this in the command window:
mex -setup C++
you may have something like this:
MEX configured to use 'Microsoft Visual C++ 2015' for C++ language compilation.
To choose a different C++ compiler, select one from the following:
MinGW64 Compiler (C++) mex -setup:'C:\Program Files\Polyspace\R2021a\bin\win64\mexopts\mingw64_g++.xml' C++
Microsoft Visual C++ 2015 mex -setup:C:\Users\Majid\AppData\Roaming\MathWorks\MATLAB\R2021a\mex_C++_win64.xml C++
Just click on "Microsoft Visual C++ 2015" link.
then check the coder again:
coder.checkGpuInstall
2 Kommentare
Ahmad Wahba
am 17 Feb. 2022
Doga Deniz Ates
am 28 Okt. 2022
I had the same issue and I use 'Microsoft Visual C++ 2017' for C++ language compilation, but when I ran the
coder.checkGpuInstall
still I have this error
Basic Code Generation : FAILED (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
could you give me any advice for this problem?
xuan zhang
am 6 Mai 2020
Same problem here- not been able to find out what the problem is.
4 Kommentare
Ali Al-Saegh
am 13 Jan. 2021
Hi Jiaqi Wang,
I have the same problem. Could you please explain to me how did you add the path of cl.exe?
Muhammad Rashid
am 14 Mär. 2021
you can have cl.exe by installing ms visual studio 15 or above, then run vl_compilenn
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