code: def load(path):
      """Creates a SavedModelHandler from a SavedModel in `path`."""
      proto = _parse_saved_model(path)
      _merge_assets_key_collection(proto, path)
      handler = SavedModelHandler()
      handler._proto = proto  # pylint: disable=protected-access
      return handler
  
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 17 for calling a global function with example usage: load(path) and returns: handler