architecture RNNencdec(max_length=5, vocabulary_size=30000, hidden_size=1000){
   def input Q(0:1)^{vocabulary_size} source
   def output Q(0:1)^{vocabulary_size} target[3]

    source -> target[0];

   timed <t=2> BeamSearchStart(max_length=5) {
       target[t-1] ->
       FullyConnected(units=vocabulary_size) ->
       Softmax() ->
       target[t]
   };
 }