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y_pred) # Calculate the contractive penalty with tf.GradientTape() as tape: tape.watch(y_true) encoded = encoder(y_true) gradients = tape.gradient(encoded, y_true) gradients_norm = tf.norm(gradients, axis=-1) contractive_penalty = tf.reduce_mean(gradients_norm ** 2) # Return the total loss return