code: def huber_loss(tensor, delta=1.0):
      """
      Reference: https://en.wikipedia.org/wiki/Huber_loss
  
      :param tensor: (TensorFlow Tensor) the input value
      :param delta: (float) Huber loss delta value
      :return: (TensorFlow Tensor) Huber loss output
      """
      return tf.where(
          tf.abs(tensor) < delta,
          tf.square(tensor) * 0.5,
          delta * (tf.abs(tensor) - 0.5 * delta),
      )
  
imports: import os
  import collections
  import functools
  import multiprocessing
  from typing import Set
  import numpy
  import tensorflow
label_desc: Use image node_id 5 for calling a global function with example usage: huber_loss(tensor, delta) and returns: tf