code: def show_and_save_image(img, save_path):
      """Shows an image using matplotlib and saves it."""
      try:
          import matplotlib.pyplot as plt  # pylint: disable=g-import-not-at-top
      except ImportError as e:
          tf.logging.warning(
              "Showing and saving an image requires matplotlib to be "
              "installed: %s",
              e,
          )
          raise NotImplementedError(
              "Image display and save not implemented."
          )
      plt.imshow(img)
      with tf.gfile.Open(save_path, "wb") as sp:
          plt.savefig(sp)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import operator
  import os
  import re
  import string
  import time
  import numpy
  import six
  from six.moves import input
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import mlperf_log
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 13 for calling a global function with example usage: show_and_save_image(img, save_path) without return types