AIonMCU

Inference simple AI model on MCU (Cortex M)

Training model

Reference from here

Generate predict model to C++

1. Write an entry-point function in MATLAB that:

function out = my_predict(in)

persistent mynet;
if isempty(mynet)
    mynet = coder.loadDeepLearningNetwork('Net.mat');
end

out = predict(mynet,in,'MiniBatchSize',2); 

2. Create a dlconfig that is configured for generating generic C/C++ code by using the coder.DeepLearningConfig function.

dlconfig = coder.DeepLearningConfig(TargetLibrary='none');

Create a code generation configuration object for MEX, executable, or static or dynamically linked library:

cfg = coder.config('lib');
cfg.TargetLang = 'C++';
cfg.DeepLearningConfig = dlconfig;

3. Run the codegen command

codegen -config cfg my_predict -args {testNormal} -report

Porting for RA8M1

1. copy all file *.cpp and *.h in generate folder to folder src of e2studio project:

   

   copy tmwtypes.h to src folder

2. Config project:

   Stack size is 32kB:

   

   Enable Data Cache:

   

Result

TestCase	Time [ms]
w/ Data Cache	6.374
wo/ Data Cache	19.363

Reference

https://www.mathworks.com/help/predmaint/ug/anomaly-detection-using-3-axis-vibration-data.html https://www.mathworks.com/help/coder/ug/generate-generic-cc-code-for-deep-learning-networks.html