public void ConcatOpDerivative()
{
var cns = new ConvNetSharp <T>();
var leftShape = new Shape(2, 2);
var rightShape = new Shape(2);
var left = cns.Const(NewVolume(new[] { 1.0, 2.0, 3.0, 4.0 }, leftShape), "left");
var right = cns.Const(NewVolume(new[] { 4.0, 5.0 }, rightShape), "right");
var op = cns.Concat(left, right);
using (var session = new Session <T>())
{
session.Differentiate(op);
var total = (int)(leftShape.TotalLength + rightShape.TotalLength);
op.Derivate = cns.Const(NewVolume(new double[total].Populate(1.0), new Shape(total)), "Gradient");
var result = left.Derivate.Evaluate(session);
Assert.AreEqual(result.Shape, leftShape);
result = right.Derivate.Evaluate(session);
Assert.AreEqual(result.Shape, rightShape);
}
}
public void ConcatGradientCheck()
{
var leftShape = new Shape(2, 2, 1, 1);
var rightShape = new Shape(3, 1, 1, 1);
var cns = new ConvNetSharp <T>();
var location = NewVolume(RandomUtilities.RandomDoubleArray(leftShape.TotalLength), new Shape(2, 2, 1, 1));
var x = cns.PlaceHolder("x");
var z = cns.Const(NewVolume(new double[rightShape.TotalLength].Populate(1.0), rightShape), "z");
var fun = cns.Concat(x, z);
GradientCheck(cns, fun, location, 1e-5);
}