public void MultipleTest()
{
var a = new TensorOld(new double[] { 1, 2, 3 });
var b = new TensorOld(new double[] { 4, 5, 6 });
var c = new TensorOld(new double[, ] {
{ 1, 2, 3 }, { 4, 5, 6 }
});
var d = new TensorOld(new double[, ] {
{ 1, 2 }, { 3, 4 }, { 5, 6 }
});
var e = new TensorOld(new double[, ] {
{ 3, 2, 1 }, { 6, 5, 4 }
});
var ab = a * b;
Assert.Equal(32, ab.GetValue());
var ad = a * d;
var adExpected = new TensorOld(new double[] { 22, 28 }, 1, 2);
Assert.Equal(adExpected, ad);
var ca = c * a;
var caExpected = new TensorOld(new double[] { 14, 32 }, 2, 1);
Assert.Equal(caExpected, ca);
var abew = TensorOld.MultipleElementWise(a, b);
var abewExpected = new TensorOld(new double[] { 4, 10, 18 });
Assert.Equal(abewExpected, abew);
var ceew = TensorOld.MultipleElementWise(c, e);
var ceewExpected = new TensorOld(new double[, ] {
{ 3, 4, 3 }, { 24, 25, 24 }
});
Assert.Equal(ceewExpected, ceew);
}
/// <summary>
/// 反向传播或叫向前传播
/// </summary>
/// <param name="error">传回来的误差</param>
/// <returns>传到前面的误差</returns>
public override TensorOld Backward(TensorOld error)
{
TensorOld.Apply(ForwardOutput, Derivative, Derivatives.SigmoidFromOutput);
TensorOld.MultipleElementWise(Derivative, error, BackwardOutput);
return(BackwardOutput);
}