/// <summary>
/// Updates the specified iteration.
/// </summary>
/// <param name="iteration">The iteration.</param>
/// <param name="layer">The layer.</param>
internal override void Update(int iteration, BaseLayer layer)
{
if (DecayRate > 0)
{
LearningRate = LearningRate * (1 / (1 + DecayRate * iteration));
}
float t = iteration + 1;
float lr_t = Convert.ToSingle(LearningRate / (1f - Math.Pow(Beta1, t)));
foreach (var item in layer.Params)
{
var param = item.Value;
if (!ms.ContainsKey(param.Name))
{
ms[param.Name] = SuperArray.Constant(0f, param.Data.Shape);
us[param.Name] = SuperArray.Constant(0f, param.Data.Shape);
}
var m_t = (Beta1 * ms[param.Name]) + (1 - Beta1) * param.Grad;
var u_t = Ops.Maximum((Beta2 * us[param.Name]), Ops.Abs(param.Grad));
param.Data = param.Data - LearningRate * m_t / (u_t + Ops.EPSILON);
ms[param.Name] = m_t;
us[param.Name] = u_t;
param.ApplyConstraint();
}
}
public static void RunArraySimplified()
{
//Create an array with values
SuperArray a = SuperArray.Create(new float[, ] {
{ 1, 2 }, { 3, 4 }, { 5, 6 }
});
//Create a array with constant value 2
SuperArray b = SuperArray.Constant <float>(2, (3, 2));
var sum = a + b;
//Perform Math operation on the array: 2A + Log(B) + Exp(A)
var r = 2 * a - Ops.Log(b) + Ops.Exp(a);
//Print the Array
r.Print();
}
