Why am i getting 'Not enough input arguments?

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Ignacio Acevedo
Ignacio Acevedo on 24 Mar 2021
Answered: Gaurav Garg on 30 Mar 2021
function out = CodeNNet(in)
persistent NNet
if isempty(NNet)
NNet = coder.loadDeepLearningNetwork('NNet.mat');
out = predict(NNet,in);
cfg = coder.config('lib');
cfg.TargetLang = 'C++';
cfg.GenCodeOnly = true;
dlcfg = coder.DeepLearningConfig('arm-compute');
dlcfg.ArmArchitecture = 'armv8';
dlcfg.ArmComputeVersion = '20.02.1';
cfg.DeepLearningConfig = dlcfg;
codegen -args {ones(256,256,3,'single')} -config cfg CodeNNet
Walter Roberson
Walter Roberson on 28 Mar 2021
codegen -args {ones(256,256,3,'single')} -config cfg CodeNNet
should not be part of the source code, and the function name must go before the -args

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Answers (1)

Gaurav Garg
Gaurav Garg on 30 Mar 2021
From what seems to be the problem so far-
You should not include
codegen -args {ones(256,256,3,'single')} -config cfg CodeNNet
in your source code.

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