Consider the following code snippet. How will you include Total Loss Variation in it? Use TensorFlow as tf.

(Answer in the format, x + y(z), considering python’s spacing convention)

def calculate_gradients(image, content_targets, style_targets, style_weight, content_weight,with_regularization=True):

total_variation_weight = 30

with tf.GradientTape() as tape:

if with_regularization:

loss += # YOUR CODE HERE

gradients = tape.gradient(loss, image) return gradients