x_text = tf.placeholder(tf.float32, [None, 68, 83])

cell = tf.contrib.rnn.MultiRNNCell([
    tf.contrib.rnn.ResidualWrapper(tf.contrib.rnn.LSTMCell(num_units=units))
    for units in [100, 100]])

text_outputs, text_state = tf.nn.dynamic_rnn(
    cell=cell,
    inputs=x_text,
    dtype=tf.float32,
)