N n = getNeuralNetwork();
if (ip != null && n != null && n.getLayerCalculator() != null) {
ip.reset();
triggerEvent(new TestingStartedEvent(this));
Set<Layer> calculatedLayers = new UniqueList<>();
ValuesProvider results = TensorFactory.tensorProvider(n, getTestBatchSize(), Environment.getInstance().getUseDataSharedMemory());
OutputError oe = getOutputError();