protected void InitMaskedFunc(StreamingContext sc)
{
if (IsParallel)
{
switch (this)
{
case MaskedLinear <float> linearF:
linearF.SingleInputForward = x => LinearF.SingleInputForward(x, linearF.Mask, linearF.Weight, linearF.Bias, linearF.ForwardKernel, linearF);
linearF.SingleOutputBackward = (y, x) => LinearF.SingleOutputBackward(y, x, linearF.Mask, linearF.Weight, linearF.Bias, linearF.BackwardgWKernel, linearF.BackwardgXKernel, linearF.Activation);
break;
case MaskedLinear <double> linearD:
linearD.SingleInputForward = x => LinearD.SingleInputForward(x, linearD.Mask, linearD.Weight, linearD.Bias, linearD.ForwardKernel, linearD);
linearD.SingleOutputBackward = (y, x) => LinearD.SingleOutputBackward(y, x, linearD.Mask, linearD.Weight, linearD.Bias, linearD.BackwardgWKernel, linearD.BackwardgXKernel, linearD.Activation);
break;
}
}
else
{
switch (this)
{
case MaskedLinear <float> linearF:
linearF.SingleInputForward = x => CPU.LinearF.SingleInputForward(x, linearF.Mask, linearF.Weight, linearF.Bias, linearF.Activation, linearF);
linearF.SingleOutputBackward = (y, x) => CPU.LinearF.SingleOutputBackward(y, x, linearF.Mask, linearF.Weight, linearF.Bias, linearF.Activation);
break;
case MaskedLinear <double> linearD:
linearD.SingleInputForward = x => CPU.LinearD.SingleInputForward(x, linearD.Mask, linearD.Weight, linearD.Bias, linearD.Activation, linearD);
linearD.SingleOutputBackward = (y, x) => CPU.LinearD.SingleOutputBackward(y, x, linearD.Mask, linearD.Weight, linearD.Bias, linearD.Activation);
break;
}
}
}
protected virtual void InitFunc(StreamingContext sc)
{
switch (this)
{
case Linear <float> linearF:
linearF.SingleInputForward = x => LinearF.SingleInputForward(x, linearF.Weight, linearF.Bias, linearF.Activation, linearF);
linearF.SingleOutputBackward = (y, x) => LinearF.SingleOutputBackward(y, x, linearF.Weight, linearF.Bias, linearF.Activation);
break;
case Linear <double> linearD:
linearD.SingleInputForward = x => LinearD.SingleInputForward(x, linearD.Weight, linearD.Bias, linearD.Activation, linearD);
linearD.SingleOutputBackward = (y, x) => LinearD.SingleOutputBackward(y, x, linearD.Weight, linearD.Bias, linearD.Activation);
break;
}
}
