def _get_lstm_cell(self, config, is_training)

1   def _get_lstm_cell(self, config, is_training):
2       if config.rnn_mode == BASIC:
3           return tf.contrib.rnn.BasicLSTMCell(
4               config.hidden_size, forget_bias=0.0, state_is_tuple=True,
5               reuse=not is_training
6           )
7       if config.rnn_mode == BLOCK:
8           return tf.contrib.rnn.LSTMBlockCell(
9               config.hidden_size, forget_bias=0.0
10          )
11      raise ValueError("rnn_mode %s not supported" % config.rnn_mode)