public override void Forward(Tensor x)
{
base.Forward(x);
Parameter weight = BuildParam("w", new long[] { x.Shape[1], Dim }, x.ElementType, KernalInitializer, KernalConstraint, KernalRegularizer);
Parameter bias = null;
Output = K.Dot(x, weight.Data);
if (UseBias)
{
bias = BuildParam("b", new long[] { 1, Dim }, x.ElementType, BiasInitializer, BiasConstraint, BiasRegularizer);
Output = Output + bias.Data;
}
if (Act != null)
{
Act.Forward(Output);
Output = Act.Output;
}
}
/// <summary>
/// Forwards the inputs and compute the output
/// </summary>
/// <param name="x">The input SuperArray for this layer.</param>
public override void Forward(SuperArray x)
{
base.Forward(x);
Parameter weight = BuildParam("w", new Shape(x.Shape[1], Dim), KernelInitializer, KernelConstraint, KernelRegularizer);
Parameter bias = null;
Output = Ops.Dot(x, weight.Data);
if (UseBias)
{
bias = BuildParam("b", new Shape(1, Dim), BiasInitializer, BiasConstraint, BiasRegularizer);
Output = Output + bias.Data;
}
if (Act != null)
{
Act.Forward(Output);
Output = Act.Output;
}
}