code: def init_states(self, batch_size):
      return (
          tf.zeros([batch_size, self.lstm_size]),
          tf.zeros([batch_size, self.lstm_size]),
      )
  
file_path: headliner/headliner/model/attention_model.py
imports: from typing import Tuple
  import tensorflow
label_desc: Use image node_id 3 for calling the Decoder obj's underlying member method code with example usage: obj.init_states(batch_size) and returns: tf,  tf