How could i train my network on GPU?
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Hind Haboubi on 24 Apr 2021
Commented: Hind Haboubi on 28 Apr 2021
Hello guys, this is my code and i don't know how to train it on single GPU? Can you help me please. i have download GPU Coder ut i don't know what to do with it?
imageSize = [224 224 3];
numClasses = 1;
anchorBoxes = [
base = resnet50;
inputlayer = base.Layers(1);
middle = base.Layers(2:174);
finallayer = base.Layers(174:end);
baseNetwork = [inputlayer
featureLayer = 'activation_40_relu';
lgraph = yolov2Layers(imageSize,numClasses,anchorBoxes,base,featureLayer);
options = trainingOptions('sgdm','MiniBatchSize',128,'InitialLearnRate',1e-3,'MaxEpochs',1,'CheckpointPath',tempdir,...
damageDataset = ddd;
[detector,info] = trainYOLOv2ObjectDetector(damageDataset,lgraph,options);
Tarunbir Gambhir on 27 Apr 2021
Edited: Tarunbir Gambhir on 27 Apr 2021
For training the network on a single particular GPU, you can select that GPU before you start the training and set the 'ExecutionEnvironment' as 'gpu' in trainingOptions(). You can refer this documentation for further information.
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