code: def huber_loss(x, delta=1.0):
      """Reference: https://en.wikipedia.org/wiki/Huber_loss"""
      return tf.where(
          tf.abs(x) < delta,
          tf.square(x) * 0.5,
          delta * (tf.abs(x) - 0.5 * delta),
      )
  
imports: import numpy
  import tensorflow
  import copy
  import os
  import functools
  import collections
  import multiprocessing
label_desc: Use image node_id 3 for calling a global function with example usage: huber_loss(x, delta) and returns: tf