Why am i getting 'Not enough input arguments?

2021 3 24
1 个回答
更新时间：2021 3 30
15 次查看（30 天）

0 个投票

function out = CodeNNet(in)
persistent NNet
if isempty(NNet)
NNet = coder.loadDeepLearningNetwork('NNet.mat');
end
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

11 个评论
显示 9更早的评论 隐藏 9更早的评论

Ignacio Acevedo
Ignacio Acevedo 2021-3-24
Im trying to generate the C++ code for a trained neural network, but i get an error in line 8 about not enough input arguments
Jan
Jan 2021-3-24
Please post a copy of the complete error message. Which function does not get enough input arguments? predict, or is in a function also, or do you call the function CodeNNet without input arguments, e.g. by starting it using the green triangle in the editor?
Gaurav Garg
Gaurav Garg 2021-3-27
Hi Igancio,
Can you post a picture of the error you are facing?
Jan
Jan 2021-3-27
I assume, this thread is abandoned.
John D'Errico
John D'Errico 2021-3-27
Poor sad thread, unloved and abandoned.
Jan
Jan 2021-3-27
I do love this thread. I do care and Gaurav does also and you, John, show your emotions as well.
Thread, we are here, if you need us.
Ignacio Acevedo
Ignacio Acevedo 2021-3-27
i understand that i have no input for the function but is it possible to generate C++ code just for the Neural Network itself?
Walter Roberson
Walter Roberson 2021-3-27
You need a prototype call to generate code, as code generation specializes the datatypes according to the prototype.
Ignacio Acevedo
Ignacio Acevedo 2021-3-27
Like a script where the function is called and tested with a test input?
Walter Roberson
Walter Roberson 2021-3-28
The
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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回答（1 个）

Gaurav Garg
Gaurav Garg 2021-3-30

0 个投票

Hi,
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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