split imagedatagenerator into x train and y train

1in python 2:
2
3X_train, y_train = train_generator.next()
4X_test, y_test = validation_generator.next()
5
6in python 3:
7
8X_train, y_train = next(train_generator)
9X_test, y_test = next(validation_generator)

1train_datagen = ImageDataGenerator(rescale=1./255,
2    shear_range=0.2,
3    zoom_range=0.2,
4    horizontal_flip=True,
5    validation_split=0.2) # set validation split
6
7train_generator = train_datagen.flow_from_directory(
8    train_data_dir,
9    target_size=(img_height, img_width),
10    batch_size=batch_size,
11    class_mode='binary',
12    subset='training') # set as training data
13
14validation_generator = train_datagen.flow_from_directory(
15    train_data_dir, # same directory as training data
16    target_size=(img_height, img_width),
17    batch_size=batch_size,
18    class_mode='binary',
19    subset='validation') # set as validation data