Class PTBModel (object)

class PTBModel(object):
  """The PTB model."""
  def __init__(self, is_training, config, input_):
      """content emitted"""

  def _build_rnn_graph(self, inputs, config, is_training):
      """content emitted"""

  def _build_rnn_graph_cudnn(self, inputs, config, is_training):
      """content emitted"""

  def _get_lstm_cell(self, config, is_training):
      """content emitted"""

  def _build_rnn_graph_lstm(self, inputs, config, is_training):
      """content emitted"""

  def assign_lr(self, session, lr_value):
      session.run(self._lr_update, feed_dict={self._new_lr: lr_value})

  def export_ops(self, name):
      """content emitted"""

  def import_ops(self):
      """content emitted"""

  @property
  def input(self):
    return self._input

  @property
  def initial_state(self):
    return self._initial_state

  @property
  def cost(self):
    return self._cost

  @property
  def final_state(self):
    return self._final_state

  @property
  def lr(self):
    return self._lr

  @property
  def train_op(self):
    return self._train_op

  @property
  def initial_state_name(self):
    return self._initial_state_name

  @property
  def final_state_name(self):
    return self._final_state_name