code: def get_node_in_graph(
      meta_graph_def: meta_graph_pb2.MetaGraphDef,
      path: str,
      graph: tf.Graph,
  ) -> types.TensorType:
      """Like get_node_wrapped_tensor_info, but looks up the node in the graph.
  
      Args:
         meta_graph_def: MetaGraphDef containing the CollectionDefs to extract the
           node name from.
         path: Name of the collection containing the node name.
         graph: TensorFlow graph to lookup the nodes in.
  
      Returns:
        The node in the graph with the name returned by
        get_node_wrapped_tensor_info.
      """
      return encoding.decode_tensor_node(
          graph, get_node_wrapped_tensor_info(meta_graph_def, path)
      )
  
imports: import collections
  from typing import Dict, List, Optional, Tuple, Union
  import tensorflow
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import constants
  from tensorflow_model_analysis.eval_saved_model import encoding
  from tensorflow_model_analysis.eval_saved_model import util
  from google.protobuf import any_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
label_desc: Use image node_id 13 for calling a global function with example usage: get_node_in_graph(meta_graph_def, path, graph) and returns: encoding