public override void Forward(Variable x)
{
Input = x;
var p = 1 - Rate;
noise = TVar.RandomBernoulli(new SeedSource(), p, Global.Device, x.Data.ElementType, x.Data.Shape)
.Div(p)
.Evaluate();
Output = Output.TVar().CMul(noise).Evaluate();
}
public override Tensor Forward(Tensor input, ModelMode mode)
{
Ops.Copy(activation, input);
if (mode == ModelMode.Train)
{
var p = 1 - pRemove;
TVar.RandomBernoulli(seedSource, p, allocator, elementType, noise.Sizes)
.Div(p)
.Evaluate(noise);
activation.TVar()
.CMul(noise)
.Evaluate(activation);
}
return(activation);
}
