dl4j ComputationGraph 错误:“无法进行前向传递:未设置输入”

问题描述 投票:0回答:0

我正在尝试将多个输入传递给 ComputationGraph,但不断收到错误“无法进行正向传递:未设置输入”。我的错误是什么?

        ArrayList<String> inAndOutNames = new ArrayList<>();
        String[] inputNames = new String[inputAmount];
        InputType[] inputTypes = new InputType[inputAmount + 1];
        for(int i = 0; i < inputAmount; i++)
        {
            inAndOutNames.add("bit" + i);
            inputNames[i] = "bit" + i;
            inputTypes[i] = InputType.recurrent(1);
        }
        inAndOutNames.add("p");
        inputTypes[inputAmount] = InputType.recurrent(1);

        ComputationGraphConfiguration configuration = new NeuralNetConfiguration.Builder()
                .weightInit(WeightInit.XAVIER)
                .updater(new Adam(0.001))
                .seed(seed)
                .graphBuilder()
                .addInputs(inAndOutNames)
                .setInputTypes(inputTypes)
                .addLayer("l1", new LSTM.Builder().nIn(inputAmount).nOut(128).activation(Activation.TANH).build(), inputNames)
                .addLayer("l2", new LSTM.Builder().nIn(128).nOut(256).build(), "l1", "p")
                .addLayer("lOut", new DenseLayer.Builder().nIn(256).nOut(10).build(), "l2")
                .setOutputs("lOut")
                .build();

        model = new ComputationGraph(configuration);

        model.init();
        model.setListeners(new ScoreIterationListener(iterationsBetweenScores));

我已经尝试了几种不同的图层和顶点组合,但还没有找到任何有效的方法。

deeplearning4j dl4j computation-graph
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