code: def _choose_meta_graph_def_internal(saved_model, tags):
      """Find a MetaGraphDef within the SavedModel with exactly matching tags.
  
      Args:
        saved_model: A `SavedModel` protocol buffer.
        tags: Set of string tags to identify the required MetaGraphDef. These should
            correspond to the tags used when saving the variables using the
            SavedModel `save()` API.
      Returns:
        The chosen `MetaGraphDef` protocol buffer.  This can be used to further
        extract signature-defs, collection-defs, etc. If tags cannot be found,
        returns None.
      """
      result = None
      for meta_graph_def in saved_model.meta_graphs:
          if set(meta_graph_def.meta_info_def.tags) == set(tags):
              result = meta_graph_def
              break
  
      return result
  
imports: from tensorflow_transform.saved import constants
  from tensorflow.python.saved_model import loader_impl
label_desc: Use image node_id 2 for calling a global function with example usage: _choose_meta_graph_def_internal(saved_model, tags) and returns: result