LSTM Sec2Sec forecasting

DL4J
1

Hi,
I try to make forecasting for one TS input.
I need to have one sequence (fixed length) as input and one sequence as output (different fixed length as input). Can I do that with this configuration, or I should be use encoder/decoder system?

public MultiLayerConfiguration getLstmNetworkConfiguration() {
    NeuralNetConfiguration.Builder builder = new NeuralNetConfiguration.Builder();
    builder.seed(123);
    builder.biasInit(0);
    builder.miniBatch(true);
    builder.updater(updater);
    builder.weightInit(WeightInit.XAVIER);
    builder.optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT);
    builder.l2(0.0001);

    NeuralNetConfiguration.ListBuilder listBuilder = builder.list();

    for (int i = 0; i < HIDDEN_LAYER_CONT; i++) {
        LSTM.Builder hiddenLayerBuilder = new LSTM.Builder();
        hiddenLayerBuilder.nIn(i == 0 ? experimentDto.getNumInputs() : HIDDEN_LAYER_WIDTH);
        hiddenLayerBuilder.nOut(HIDDEN_LAYER_WIDTH);
        hiddenLayerBuilder.activation(Activation.TANH);
        hiddenLayerBuilder.weightInit(WeightInit.XAVIER);
        listBuilder.layer(i, hiddenLayerBuilder.build());
    }

    listBuilder.layer(HIDDEN_LAYER_CONT, new DenseLayer.Builder()
            .nIn(HIDDEN_LAYER_WIDTH)
            .nOut(DENSE_LAYER_WIDTH)
            .activation(Activation.RELU)
            .build());
    listBuilder.layer(HIDDEN_LAYER_CONT+1, new RnnOutputLayer.Builder()
            .nIn(DENSE_LAYER_WIDTH)
            .nOut(experimentDto.getNumOutputs())
            .activation(Activation.IDENTITY)
            .lossFunction(LossFunctions.LossFunction.MSE)
            .build());

    return listBuilder.build();
}

Please, where can I find example for encoder/decoder system?

Thanks,
Vladimir