code: def _restore_model(self):
      self.encoder_inputs = self.model.input[0]  # input_1
      encoder_outputs, state_h_enc, state_c_enc = self.model.layers[
          2
      ].output  # lstm_1
      self.encoder_states = [state_h_enc, state_c_enc]
  
      self.decoder_inputs = self.model.input[1]  # input_2
      self.decoder_lstm = self.model.layers[3]
  
      self.decoder_dense = self.model.layers[4]
  
imports: import pickle
  import numpy
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import Input, LSTM, Dense
  import tensorflow.keras
  from zoo.orca.automl.model.abstract import BaseModel
  from zoo.orca.automl.metrics import Evaluator
label_desc: Use image node_id 3 for calling the LSTMSeq2Seq obj's underlying member method code with example usage: obj._restore_model() without return types