code: def identity_model_creator(config):
      model = tf.keras.models.Sequential(
          [
              tf.keras.layers.InputLayer(input_shape=(1)),
              tf.keras.layers.Lambda(lambda x: tf.identity(x)),
          ]
      )
      model.compile()
      return model
  
imports: import shutil
  from unittest import TestCase
  import numpy
  import pytest
  import tensorflow
  from zoo import init_nncontext
  from zoo.orca.data import XShards
  import zoo.orca.data.pandas
  from zoo.orca.learn.tf2 import Estimator
  from zoo.ray import RayContext
  import ray
  import os
label_desc: Use image node_id 7 for calling a global function with example usage: identity_model_creator(config) and returns: model