I tried to generate C++ code for a deep learning neural network in MATLAB. I got the following error

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Naga Sai Pavan Swaroop Ainapurapu
评论： Naga Sai Pavan Swaroop Ainapurapu 2022-7-18
%%This is where the trained network is called. The trained network is given
%%title as net.mat. I am also uploading the trained network for reference. The trained network can be opened using deep leanring netowrk model designer app.
function label = classifyX (y) %#codegen
%CLASSIFYX Classify using SVM Model
% CLASSIFYX classifies the measurements in X
% using the SVM model in the file mySVM.mat, and then
% returns class labels in label.
persistent CompactMdl;
if isempty(CompactMdl)
CompactMdl = coder.loadDeepLearningNetwork('net.mat');
end
label = predict(CompactMdl,y);
end
Error Message:
Error generating code for network.
Code generation for FeatureInputLayer input is not supported for mkldnn target.
See documentation for a list of supported layers with each target.
My Approach to Error:
I tried going through the webpage for understanding the various functions supported by MKLDNN. And Feauture input Layer is included. But I dont understand why it is still showing likewise.
https://de.mathworks.com/help/coder/ug/networks-and-layers-supported-for-c-code-generation.html
About the model:
The trained networks looks like this. It was working fine with inputs given in MATLAB. But I am facing error duing code generation.
The use case and the inputs matches with the approach descirbed in:
https://de.mathworks.com/help/deeplearning/ug/train-network-on-data-set-of-numeric-features.html
The difference is that I have modelled the input in simulink and created a funciton block with the model.
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