protected NdArray ForwardCpu(NdArray x)
{
int[] inputShape = x.Shape;
int[] outputShape = this.Weight.Shape;
List <int> shapeList = new List <int>();
for (int i = 0; i < this.Axis; i++)
{
shapeList.Add(1);
}
shapeList.AddRange(outputShape);
for (int i = 0; i < inputShape.Length - this.Axis - outputShape.Length; i++)
{
shapeList.Add(1);
}
int[] preShape = shapeList.ToArray();
NdArray y1 = new Reshape(preShape).Forward(this.Weight)[0];
NdArray y2 = new Broadcast(inputShape).Forward(y1)[0];
if (BiasTerm)
{
NdArray b1 = new Reshape(preShape).Forward(this.Bias)[0];
NdArray b2 = new Broadcast(inputShape).Forward(b1)[0];
return(x * y2 + b2);
}
else
{
return(x * y2);
}
}
public NdArray <T> MultiplyScaleForward(NdArray <T> x)
{
int[] inputShape = x.Shape;
int[] outputShape = this.Weight.Shape;
List <int> shapeList = new List <int>();
for (int i = 0; i < this.Axis; i++)
{
shapeList.Add(1);
}
shapeList.AddRange(outputShape);
for (int i = 0; i < inputShape.Length - this.Axis - outputShape.Length; i++)
{
shapeList.Add(1);
}
int[] preShape = shapeList.ToArray();
NdArray <T> y1 = new Reshape <T>(preShape).Forward(this.Weight)[0];
NdArray <T> y2 = new Broadcast <T>(inputShape).Forward(y1)[0];
if (BiasTerm)
{
NdArray <T> b1 = new Reshape <T>(preShape).Forward(this.Bias)[0];
NdArray <T> b2 = new Broadcast <T>(inputShape).Forward(b1)[0];
return(x * y2 + b2);
}
else
{
return(x * y2);
}
}