private Tensor ApplyRegularizer(TVar loss)
{
foreach (var l in Layers)
{
foreach (var p in l.Params)
{
if (p.Value.HaveRegularizer)
{
loss += p.Value.ApplyRegularizer();
}
}
}
return(loss.Evaluate());
}
public static TVar Softmax(this TVar x)
{
long[] shape = x.Evaluate().Shape;
List <float> data = new List <float>();
for (long i = 0; i < shape[0]; i++)
{
var s_x = x.Select(0, i);
var exp = s_x.Exp();
var sum = exp.SumAll();
var s_t = (exp / sum.ToScalar()).View(1, shape[1]).Evaluate();
data.AddRange(s_t.ToArray().Cast <float>());
}
return(TVar.FromArray(data.ToArray(), Global.Device).View(shape));
}
