import tensorflow as tf

		state_in = (c_in, h_in)
		rnn_in = tf.expand_dims(self.h3, [0])
		step_size = tf.shape(inputs)[:1]
		state_in = tf.nn.rnn_cell.LSTMStateTuple(c_in, h_in)
		lstm_outputs, lstm_state = tf.nn.dynamic_rnn(
		lstm_cell, rnn_in, initial_state=state_in, sequence_length=step_size,
		time_major=False)
		lstm_c, lstm_h = lstm_state
