how to implement CBAM with a pretarined network in matlab. i have seen tutorials doing this on other platforms but not on matlab.

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%this is the code i found on GitHub but couldn't implement it
lgraph = layerGraph();
tempLayers = imageInputLayer([227 227 3],"Name","imageinput");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = averagePooling2dLayer([5 5],"Name","avgpool2d_1","Padding","same");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
multiplicationLayer(2,"Name","multiplication_1")
fullyConnectedLayer(10,"Name","fc_1")
fullyConnectedLayer(10,"Name","fc_2")
fullyConnectedLayer(10,"Name","fc_3")
leakyReluLayer(0.01,"Name","leakyrelu_1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = averagePooling2dLayer([5 5],"Name","avgpool2d_2","Padding","same");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = maxPooling2dLayer([5 5],"Name","maxpool_2","Padding","same");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
multiplicationLayer(2,"Name","multiplication_2")
leakyReluLayer(0.01,"Name","leakyrelu_2")
sigmoidLayer("Name","sigmoid")
yolov2OutputLayer([16 16;32 32],"Name","yolov2-out")];
lgraph = addLayers(lgraph,tempLayers);
% 清理辅助变量
clear tempLayers;
%链接所有层
lgraph = connectLayers(lgraph,"imageinput","maxpool_1");
lgraph = connectLayers(lgraph,"imageinput","avgpool2d_1");
lgraph = connectLayers(lgraph,"maxpool_1","multiplication_1/in2");
lgraph = connectLayers(lgraph,"avgpool2d_1","multiplication_1/in1");
lgraph = connectLayers(lgraph,"leakyrelu_1","avgpool2d_2");
lgraph = connectLayers(lgraph,"leakyrelu_1","maxpool_2");
lgraph = connectLayers(lgraph,"avgpool2d_2","multiplication_2/in1");
lgraph = connectLayers(lgraph,"maxpool_2","multiplication_2/in2");
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