GPU coder :basic Code Generation failed

Question

zhou caiwei 2022-9-29

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1814255-gpu-coder-basic-code-generation-failed

评论： Walter Roberson 2022-10-24

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 个评论
显示无隐藏无

Chao Luo 2022-10-10

Hi Caiwei,

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

Thanks,

Chao

Hariprasad Ravishankar 2022-10-10

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?

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Walter Roberson 2022-9-29

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1814255-gpu-coder-basic-code-generation-failed#answer_1062985

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 个评论
显示 7更早的评论隐藏 7更早的评论

zhou caiwei 2022-9-30

MATLAB2022a is proved to be qualified

Walter Roberson 2022-10-24

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.

请先登录，再进行评论。