Package com.github.neuralnetworks.calculation

Examples of com.github.neuralnetworks.calculation.OutputError.reset()

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    if (n.getLayerCalculator() != null) {
        Set<Layer> calculatedLayers = new UniqueList<>();
        TrainingInputData input = null;
        OutputError outputError = t.getOutputError();
        outputError.reset();
        inputProvider.reset();

        while ((input = inputProvider.getNextInput()) != null) {
      calculatedLayers.clear();
      calculatedLayers.add(n.getInputLayer());
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      Set<Layer> calculatedLayers = new UniqueList<>();
      ValuesProvider results = TensorFactory.tensorProvider(n, getTestBatchSize(), Environment.getInstance().getUseDataSharedMemory());

      OutputError oe = getOutputError();
      if (oe != null) {
    oe.reset();
    results.add(oe, results.get(n.getOutputLayer()).getDimensions());
      }

      TrainingInputData input = new TrainingInputDataImpl(results.get(n.getInputLayer()), results.get(oe));
      for (int i = 0; i < ip.getInputSize(); i += getTestBatchSize()) {
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    OneStepTrainer<?> t = (OneStepTrainer<?>) event.getSource();
    NeuralNetwork n = t.getNeuralNetwork();

    if (n.getLayerCalculator() != null) {
        OutputError outputError = t.getOutputError();
        outputError.reset();
        inputProvider.reset();

        ValuesProvider vp = mbe.getResults();
        if (vp == null) {
      vp = TensorFactory.tensorProvider(n, 1, Environment.getInstance().getUseDataSharedMemory());
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