/// <summary>
/// Automatic differentiation using reverse accumulation
/// </summary>
/// <param name="cost"></param>
public void Differentiate(Op <T> cost)
{
if (!this._derivativeComputed)
{
this.Cost = cost;
cost.Derivate = this._cns.Const(ConvNetSharp <T> .One, "1");
//this._func.Derivate = cost;
var differentiateVisitor = new DifferentiateVisitor <T>();
cost.Accept(differentiateVisitor);
this._derivativeComputed = true;
}
}
/// <summary>
/// Automatic differentiation using reverse accumulation
/// </summary>
/// <param name="cost"></param>
/// <param name="gradient">1 will be used as gradient if not specify</param>
public void Differentiate(Op <T> cost, Op <T> gradient = null)
{
if (!this._derivativeComputed)
{
var visitor = new OpVisitor <T>(op => { op.Derivate = null; });
cost.Accept(visitor);
this.Cost = cost;
cost.Derivate = gradient ?? ConvNetSharp <T> .One;
var differentiateVisitor = new DifferentiateVisitor <T>();
cost.Accept(differentiateVisitor);
this._derivativeComputed = true;
}
}