code: def rank4_grayscale_input_model():
      x = tf.keras.Input(
          batch_input_shape=(1, 10, 20, 1),
          name="input",
          dtype=tf.float32,
      )
      out = tf.add(x, tf.constant(5, dtype=tf.float32), name="output")
      return tf.keras.Model(inputs=x, outputs=out)
  
imports: import itertools
  import os
  import platform
  from os import chdir, getcwd
  from shutil import rmtree
  from tempfile import mkdtemp
  import numpy
  import pytest
  import coremltools
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestInputOutputConversionAPI
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestiOS16DefaultIODtype
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.testing_reqs import backends
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import layers
label_desc: Use image node_id 17 for calling a global function with example usage: rank4_grayscale_input_model() and returns: tf