Why am i getting 'Not enough input arguments?

4 次查看(过去 30 天)
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
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

请先登录,再进行评论。

回答(1 个)

Gaurav Garg
Gaurav Garg 2021-3-30
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.

类别

Help CenterFile Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by