code: def get_config(self):
      return {
          "input_feature_num": self.input_feature_num,
          "lstm_hidden_dim": self.lstm_hidden_dim,
          "lstm_layer_num": self.lstm_layer_num,
          "dropout": self.dropout,
          "encoder_lstm": self.encoder_lstm,
      }
  
imports: import numpy
  import tensorflow
  from tensorflow.keras import backend
  from bigdl.nano.tf.keras import Model
  from tensorflow.keras.layers import LSTM, Dense, Lambda, Reshape, Layer, Input
label_desc: Use image node_id 3 for calling the Encoder obj's underlying member method code with example usage: obj.get_config() and returns: dict