(self, outputs, final_state, sequence_lengths)
Called after decoding iterations complete.

    Args:
      outputs: RNNCell outputs (possibly nested tuple of) tensor[s] for all time
        steps.
      final_state: RNNCell final state (possibly nested tuple of) tensor[s] for
        last time step.
      sequence_lengths: 1-D `int32` tensor containing lengths of each sequence.

    Returns:
      `(final_outputs, final_state)`: `final_outputs` is an object containing
      the final decoder output, `final_state` is a (structure of) state tensors
      and TensorArrays.
Called after decoding iterations complete.
Called after decoding iterations complete .
def finalize(self, outputs, final_state, sequence_lengths):
    """Called after decoding iterations complete.

    Args:
      outputs: RNNCell outputs (possibly nested tuple of) tensor[s] for all time
        steps.
      final_state: RNNCell final state (possibly nested tuple of) tensor[s] for
        last time step.
      sequence_lengths: 1-D `int32` tensor containing lengths of each sequence.

    Returns:
      `(final_outputs, final_state)`: `final_outputs` is an object containing
      the final decoder output, `final_state` is a (structure of) state tensors
      and TensorArrays.
    """
    raise NotImplementedError
def finalize ( self , outputs , final_state , sequence_lengths ) : raise NotImplementedError