TF pre-2.0: defaultly static graph

TF2.0 alpha: defaultly dynamic graph

augmentation_layer=Sequential([
    RandomFlip(mode='horizontal',name='random_horizontal_flip'),
    RandomRotation( factor=0.1*2*math.pi,name='random_rotation' )
])
with tf.device('/cpu:0'): augim = augmentation_layer(image, training=True)