code: def get_model_preprocess_fn(
      config: ml_collections.ConfigDict,
  ) -> Callable[[tf.train.Example], tf.train.Example]:
      """Returns the preprocess function for the model type."""
  
      if config.model_type == "inception_v3":
          return dv_utils.preprocess_images
      else:
          raise ValueError("Unsupported model type.")
  
imports: import os
  import tempfile
  from typing import Callable, Optional, Tuple, Type, Union
  from absl import logging
  import ml_collections
  import numpy
  import tensorflow
  import tensorflow_addons
  from deepvariant import dv_constants
  from deepvariant import dv_utils
label_desc: Use image node_id 11 for calling a global function with example usage: get_model_preprocess_fn(config) and returns: dv_utils