code: def __init__(
      self,
      global_graph_representation_module: AbstractVarSizedElementReduce,
      input_state_size: int,
      summarized_state_size: int,
      dropout_rate: float = 0.0,
  ):
      super().__init__(global_graph_representation_module, dropout_rate)
      self.__input_dim = input_state_size
      self.__summarized_state_size = summarized_state_size
      self.__gru_cell = nn.GRUCell(
          input_size=summarized_state_size, hidden_size=input_state_size
      )
  
file_path: ptgnn/ptgnn/neuralmodels/gnn/messagepassing/globalgraphexchange.py
imports: import torch
  from abc import abstractmethod
  from torch import nn
  from typing import Dict, List, Tuple
  from ptgnn.neuralmodels.gnn.messagepassing.abstractmessagepassing import AbstractMessagePassingLayer
  from ptgnn.neuralmodels.reduceops.varsizedsummary import AbstractVarSizedElementReduce, ElementsToSummaryRepresentationInput
label_desc: Use image node_id 1 to create a new GruGlobalStateUpdate object from inherited base classes: AbstractGlobalGraphExchange with example: obj = GruGlobalStateUpdate(global_graph_representation_module, input_state_size, summarized_state_size, dropout_rate)