code: def create_auto_shard_model(config):
      model = tf.keras.models.Sequential(
          [tf.keras.layers.Lambda(lambda x: tf.identity(x))]
      )
  
      return model
  
imports: import os
  from unittest import TestCase
  import numpy
  import pytest
  import tensorflow
  from bigdl.orca.learn.tf2 import Estimator
  from bigdl.orca.ray import OrcaRayContext
  from bigdl.orca import OrcaContext
label_desc: Use image node_id 8 for calling a global function with example usage: create_auto_shard_model(config) and returns: model