def testMeta(): data = Data() meta = MetaNet(input_vector_size= 28*28, subnet_output_vector_size=10) grapher = Grapher() #TODO: Actually use this for something subNetList = [] print("Phase 1: Train Subnet on Numbers") accuracy = [] for datum in data.sub_tr: (img, label) = datum if (meta.trainSubNet(img, label) == label): accuracy.append(1) else: accuracy.append(0) grapher.addGraph(accuracy, "SubNet Train Accuracy") print("Phase 2: Train AlterNet on Letters") accuracy = [] for datum in data.alter_tr: (img, label) = datum if (meta.trainAlterNet(img, label) == label): accuracy.append(1) else: accuracy.append(0) grapher.addGraph(accuracy, "AlterNet Train Accuracy") print("Phase 3: Train SuperNet") accuracy = [] for datum in data.super_tr: (img, label, super_label) = datum if (meta.trainSuperNet(img, label, super_label) == super_label): accuracy.append(1) else: accuracy.append(0) grapher.addGraph(accuracy, "SuperNet Train Accuracy") print("Phase 4: Generate Child Network") (child, accuracy) = meta.generateChild(data.child_tr) grapher.addGraph(accuracy, "Child Generation Accuracy") print("Phase 5: Test Child Network") accuracy = [] for datum in data.child_te: (img, label) = datum if (child.run(img) == label): accuracy.append(1) else: accuracy.append(0) grapher.addGraph(accuracy, "Child Accuracy") grapher.graphAll()