GPU coder :basic Code Generation failed

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zhou caiwei
zhou caiwei on 29 Sep 2022
Commented: Walter Roberson on 24 Oct 2022
Visual studio 2019
MATLAB 2022A
CUDA 11.6,When I test
coder.checkGpuInstall:
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : FAILED (Unable to find the 'NVIDIA_CUDNN' environment variable. Set 'NVIDIA_CUDNN' to point to the root directory of a NVIDIA cuDNN installation.)
Basic Code Generation : FAILED (GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
ans =
包含以下字段的 struct:
gpu: 1
cuda: 1
cudnn: 0
tensorrt: 0
basiccodegen: 0
basiccodeexec: 0
deepcodegen: 0
deepcodeexec: 0
tensorrtdatatype: 0
profiling: 0
If I type in following codes in the commander line
gpuEnvObj = coder.gpuEnvConfig;
gpuEnvObj.GpuId = 0;
gpuEnvObj.BasicCodegen = 1;
gpuEnvObj.BasicCodeexec = 1;
results = coder.checkGpuInstall(gpuEnvObj)
the results is
Compatible GPU : FAILED (Invalid CUDA device id: 1. Select a device id from the range 0:0.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : FAILED (GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
results =
包含以下字段的 struct:
gpu: 1
cuda: 1
cudnn: 0
tensorrt: 0
basiccodegen: 0
basiccodeexec: 0
deepcodegen: 0
deepcodeexec: 0
tensorrtdatatype: 0
profiling: 0
>>mex -setup
MEX 配置为使用 'Microsoft Visual C++ 2019 (C)' 以进行 C 语言编译。
要选择不同的 C 编译器,请从以下选项中选择一种命令:
Microsoft Visual C++ 2019 (C) mex -setup:C:\Users\sunla\AppData\Roaming\MathWorks\MATLAB\R2022a\mex_C_win64.xml C
Microsoft Visual C++ 2022 (C) mex -setup:D:\MATLAB2022a\bin\win64\mexopts\msvc2022.xml C
要选择不同的语言,请从以下选项中选择一种命令:
mex -setup C++
mex -setup FORTRAN
I looked throught the answers about 'emlc:compilationError' and "Invalid CUDA device", but no answer could figures out my problem.
what wrong with my gpu coder?
  2 Comments
Chao Luo
Chao Luo on 10 Oct 2022
Hi Caiwei,
Could you also show us the error message in the report by clicking "View report"?
Thanks,
Chao
Hariprasad Ravishankar
Hariprasad Ravishankar on 10 Oct 2022
Hi Caiwei,
From the error message (Invalid CUDA device id: 1. Select a device id from the range 0:0.) it seems that the GpuId might have been 1?
Can you try running
>> gpuDeviceCount
and
>> gpuDeviceTable
to see if MATLAB is able to identify your gpu?

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Answers (2)

Walter Roberson
Walter Roberson on 29 Sep 2022
I think Cuda Toolkit 11.6 is not supported in your release. I am having difficulty finding the toolkit version that is supported: 11.0 for the release before yours.
You might have to enable forward compatibility https://www.mathworks.com/help/parallel-computing/parallel.gpu.enablecudaforwardcompatibility.html#mw_f28510a0-2087-45eb-84d4-80a0b1248e37
  9 Comments
zhou caiwei
zhou caiwei on 30 Sep 2022
MATLAB2022a is proved to be qualified
Walter Roberson
Walter Roberson on 24 Oct 2022
See also https://www.mathworks.com/matlabcentral/answers/1825838-gpu-support-for-rtx-4090#comment_2430013 which indicates that R2021a is enough to generally use the RTX 3090, but that using GPU Coder could have problems, with a work-around suggestion there.

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zhou caiwei
zhou caiwei on 30 Sep 2022
However, I'm not sure if other error would happens

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