removing unused code from AlexNet Keras script

llvm/projects/keras/src/alexnet.py

@@ -27,9 +27,6 @@ from frontend.weight_utils import dumpHPVMToKerasModel
 
 class AlexNet(Benchmark):
 
-
-  #def __init__(self):
-  #    self.name = "AlexNet"
       
       
   def lr_schedule(self, epoch):
@@ -82,35 +79,6 @@ class AlexNet(Benchmark):
 
 
 
-  def buildModel_old():
-
-      model = Sequential()
-      model.add(Conv2D(128, kernel_size=(3, 3), activation='tanh', input_shape=(3, 32, 32), padding = 'same'))
-      model.add(Conv2D(256, kernel_size=(3, 3), activation='tanh', padding = 'same'))
-      model.add(MaxPooling2D(pool_size=(2, 2)))
-      #model.add(Dropout(0.25))
-
-      model.add(Conv2D(256, kernel_size=(3, 3), activation='tanh', padding = 'same'))
-      model.add(MaxPooling2D(pool_size=(2, 2)))
-
-      model.add(Conv2D(256, kernel_size=(3, 3), activation='tanh', padding = 'same'))
-      model.add(MaxPooling2D(pool_size=(2, 2)))
-      model.add(Conv2D(256, kernel_size=(3, 3), activation='tanh', padding = 'same'))
-      model.add(MaxPooling2D(pool_size=(2, 2)))
-      #model.add(Dropout(0.25))
-
-      model.add(Flatten())
-      #model.add(Flatten())
-      model.add(Dense(4096, activation='tanh'))
-      #model.add(Dropout(0.5))
-      model.add(Dense(2048, activation='tanh'))
-      model.add(Dense(10, activation='tanh'))
-      model.add(Activation('softmax'))
-
-      return model
-
-
-
 
   def trainModel(self, model):
 
@@ -168,16 +136,6 @@ class AlexNet(Benchmark):
 
 
 
-  def reloadKerasModel(model_path):
-
-    model = load_model(model_path)
-
-    score = model.evaluate(X_test, to_categorical(Y_test, 10), verbose=0)
-    print('Test loss2:', score[0])
-    print('Test accuracy2:', score[1])
-
-
-
   def data_preprocess(self):
 
     (X_train, Y_train), (X_test, Y_test) = cifar10.load_data()