public void ForwardBackwardTest()
{
var fl = new FullLayer(3);
var weights = TensorOld.Ones(4, 3);
var bias = TensorOld.Values(0.5, 1, 3);
var input = new TensorOld(new double[] { 1, 2, 3, 4, 5, 6, 7, 8 }, 2, 4);
var error = new TensorOld(new double[] { -1, 0.8, 1.5, 1, -1, 1 }, 2, 3);
var forward = new TensorOld(new double[] { 10.5, 10.5, 10.5, 26.5, 26.5, 26.5 }, 2, 3);
var backward = new TensorOld(new double[] { 1.3, 1.3, 1.3, 1.3, 1, 1, 1, 1 }, 2, 4);
var biasGradient = new TensorOld(new double[] { 0, -0.2, 2.5 }, 1, 3);
var weightsGradient = new TensorOld(new double[, ]
{
{ 4, -4.2, 6.5 },
{ 4, -4.4, 9 },
{ 4, -4.6, 11.5 },
{ 4, -4.8, 14 },
});
fl.PrepareTrain(input);
fl.SetWeights(weights);
fl.SetBias(bias);
fl.Forward(input);
fl.Backward(error);
Assert.Equal(forward, fl.ForwardOutput);
Assert.Equal(backward, fl.BackwardOutput);
MyAssert.ApproximatelyEqual(biasGradient, fl.BiasGradient);
Assert.Equal(weightsGradient, fl.WeightsGradient);
}