GPU coder :basic Code Generation failed

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zhou caiwei 2022년 9월 29일

1
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https://kr.mathworks.com/matlabcentral/answers/1814255-gpu-coder-basic-code-generation-failed

편집: Walter Roberson 2024년 12월 4일

MATLAB Online에서 열기

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?

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Chao Luo 2022년 10월 10일

Hi Caiwei,

Could you also show us the error message in the report by clicking "View report"?

Thanks,

Chao

Hariprasad Ravishankar 2022년 10월 10일

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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답변 (2개)

Walter Roberson 2022년 9월 29일

0
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이 답변에 대한 바로 가기 링크

https://kr.mathworks.com/matlabcentral/answers/1814255-gpu-coder-basic-code-generation-failed#answer_1062985

편집: Walter Roberson 2024년 12월 4일

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

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zhou caiwei 2022년 9월 30일

MATLAB2022a is proved to be qualified

Walter Roberson 2022년 10월 24일

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 2022년 9월 30일