public void CanComputeGruForward()
{
var dataSet = new TestDataSet <float>(3, 4, 5, 10);
var gruLayer = new GruLayer <float>(dataSet.InputSize, dataSet.TargetSize);
TestGpuLayer(gruLayer, dataSet);
}
public void CanGradientCheckGruLayer()
{
var layer = new GruLayer <double>(5, 3)
{
ErrorFunction = new MeanSquareError <double>()
};
TestLayer(layer);
}
public void TestGpuLayers()
{
var dataSet = new TestDataSet <float>(3, 4, 5, 10);
Console.WriteLine("Testing softmax forward");
var softmaxLayer = new SoftMaxLayer <float>(dataSet.InputSize);
TestLayerForward(softmaxLayer, dataSet, dataSet.InputSize);
Console.WriteLine("Testing linear forward");
var linLayer = new LinearLayer <float>(dataSet.InputSize, dataSet.TargetSize, new RandomMatrixInitializer <float>());
TestLayerForward(linLayer, dataSet);
Console.WriteLine("Testing GRU forward");
var gruLayer = new GruLayer <float>(dataSet.InputSize, dataSet.TargetSize, new ProportionalRandomMatrixInitializer <float>(), new ProportionalRandomMatrixInitializer <float>(), new RandomMatrixInitializer <float>());
TestLayerForward(gruLayer, dataSet);
}
