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()
