code: def huber_loss(x):
      """Loss function for value"""
      return tf.where(
          tf.abs(x) < 1, tf.square(x) * 0.5, tf.abs(x) - 0.5
      )
  
imports: import argparse
  import operator
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 1 for calling a global function with example usage: huber_loss(x) and returns: tf