Build error: C++ compiler produced errors. See the Build Log for further details

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Hi! I ask a question here! I getting wrong on gpu coder says "Build error: C++ compiler produced errors. See the Build Log for further details" but i already installed mingw and i also replace attachment of bug report how can i fix this guys Thanksmex.png

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Walter Roberson
Walter Roberson 2020-1-17
You must install Visual Studio to use GPU Coder.
  4 个评论
Ali Al-Saegh
Ali Al-Saegh 2021-1-13
Hello,
I have the same proble as Allan stated. I installed VS 2019 Community but still have the same problem. Are there any configuration should me made to solve the problem.
I need help please.

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Allan III T. Condiman
Cannot find cl.exe in Pathcl.png
  3 个评论
Ultimate CR
Ultimate CR 2021-7-22
编辑:Ultimate CR 2021-7-22
Hi @Joss Knight, I am using MATLAB 2019b version and have installed VS 2019 community version. I already have built MKLDNN library successfully but still getting the same error as of now.
Error is, MEX build failed: Build error: C++ compiler produced errors. See the Build Log for further details. <a href="matlab:helpview('C:/Program Files/Polyspace/R2019b/help/coder/helptargets.map','msginfo_Coder_FE_TargetBuildError');"
Solutions I already have tried are:
  1. https://www.mathworks.com/matlabcentral/answers/761406-code-generation-error-build-error-c-compiler-produced-errors-see-the-build-log-for-further-deta which talks about placing mkldnn_config.h into mex file
  2. https://www.mathworks.com/matlabcentral/answers/447387-matlab-coder-how-do-i-build-the-intel-mkl-dnn-library-for-deep-learning-c-code-generation-and-dep which talks about build mkl-dnn from source where I got the sucess.
  3. mex -setup c++ link that matlab central provides.
I am working on a research project where I want to see the inference time by resnet50 model using resnet50.onnx model. My Question is,
Do we need the MEX build to perform inference from the generated c++ code? Because error is not coming in code generation.
If yes, then how to debug this error.
@Allan Condiman, @Walter Roberson and @Ali Al-Saegh are you able to solve this issue? If yes, please help.
Joss Knight
Joss Knight 2021-7-22
This is a new question, not really a comment on the answer to an existing question. Try posting a new question, which might draw the attention of the GPU Coder team. That said:
net = resnet50;
x = imresize(im2single(imread('peppers.png')),net.Layers(1).InputSize(1:2));
predict(net,x)
ans = 1×1000
1.0e+00 * 0.0001 0.0008 0.0002 0.0002 0.0003 0.0001 0.0001 0.0002 0.0001 0.0004 0.0002 0.0002 0.0001 0.0001 0.0000 0.0002 0.0001 0.0001 0.0001 0.0001 0.0003 0.0003 0.0004 0.0001 0.0003 0.0003 0.0001 0.0001 0.0007 0.0005

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