code: def mse(pred, target):
      """
      Returns the Mean squared error between prediction and target
  
      :param pred: (TensorFlow Tensor) The predicted value
      :param target: (TensorFlow Tensor) The target value
      :return: (TensorFlow Tensor) The Mean squared error between prediction and target
      """
      return tf.reduce_mean(tf.square(pred - target))
  
imports: import os
  import collections
  import functools
  import multiprocessing
  from typing import Set
  import numpy
  import tensorflow
label_desc: Use image node_id 8 for calling a global function with example usage: mse(pred, target) and returns: tf