code: def _parse_saved_model(path):
      """Reads the savedmodel.pb file containing `SavedModel`."""
      # Based on tensorflow/python/saved_model/loader.py implementation.
      path_to_pb = _get_saved_model_proto_path(path)
      file_content = tf.compat.v1.gfile.Open(path_to_pb, "rb").read()
      saved_model = saved_model_pb2.SavedModel()
      try:
          saved_model.ParseFromString(file_content)
      except message.DecodeError as e:
          raise IOError(
              "Cannot parse file %s: %s." % (path_to_pb, str(e))
          )
      return saved_model
  
imports: import collections
  import os
  import re
  from absl import logging
  import tensorflow
  from tensorflow_hub import module_attachment_pb2
  from tensorflow_hub import tf_utils
  from google.protobuf import message
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import saved_model_pb2
label_desc: Use image node_id 16 for calling a global function with example usage: _parse_saved_model(path) and returns: saved_model