code: def model(self):
      x1 = L.Input(shape=(None,))
      x2 = L.Input(shape=(self.hidden_size,))
      x3 = L.Input(shape=(self.hidden_size,))
      return tf.keras.Model(
          inputs=[x1, x2, x3],
          outputs=self.call(x1, x2, x3),
          name="AttGRUDecoder",
      )
  
file_path: Kashgari/kashgari/tasks/seq2seq/decoder/att_gru_decoder.py
imports: import tensorflow
  from kashgari.embeddings.abc_embedding import ABCEmbedding
  from kashgari.layers import L
label_desc: Use image node_id 3 for calling the AttGRUDecoder obj's underlying member method code with example usage: obj.model() and returns: tf