protected override void ConfirmField(object shared)
{
double sd = Math.Sqrt(1.0 / (InArea));
if (shared != null)
{
var obj = shared as Utility.Shared.ModelParameter;
var w = new Utility.Shared.ModelParameter.WeightData(1);
w.Data[0] = new Components.RNdMatrix(InArea + 1, OutArea, 1, 1);
Utility.Randomizer.Noize(ref w.Data[0].Data, Utility.Randomizer.Sign.Both, 0, sd);
obj.Weignt.Add(w);
Weight = new Components.RNdMatrix(w.Data[0].Shape);
Weight.Data = (w.Data[0].Data.Clone()) as Components.Real[];
WeightDifference = w.Difference.Clone() as Components.Real[];
}
else
{
if (!ObjectDecoded)
{
Weight = (new Components.RNdMatrix(InArea + 1, OutArea, 1, 1)) as Components.RNdMatrix;
Utility.Randomizer.Noize(ref Weight.Data, Utility.Randomizer.Sign.Both, 0, sd);
}
WeightDifference = new Components.Real[1];
}
}
protected override void ConfirmField(object shared)
{
OutputChannels = InputChannels;
OutWidth = InWidth;
OutHeight = InHeight;
if (shared != null)
{
var obj = shared as Utility.Shared.ModelParameter;
var w = new Utility.Shared.ModelParameter.WeightData(0);
obj.Weignt.Add(w);
}
}
protected override void ConfirmField(object shared)
{
CompressSize = CompressSize <= 0 ? 1 : CompressSize;
ExpandSize = ExpandSize <= 0 ? 1 : ExpandSize;
OutputChannels = InputChannels;
OutWidth = (int)(((double)ExpandSize / (double)CompressSize) * InWidth);
OutHeight = (int)(((double)ExpandSize / (double)CompressSize) * InHeight);
Map = new Components.RNdMatrix(BatchCount, OutputChannels, InWidth, InHeight);
if (shared != null)
{
var obj = shared as Utility.Shared.ModelParameter;
var w = new Utility.Shared.ModelParameter.WeightData(0);
obj.Weignt.Add(w);
}
}
protected override void ConfirmField(object shared)
{
OutWidth = (int)(OutScale * InWidth);
OutHeight = (int)(OutScale * InHeight);
double sd_b = Math.Sqrt(1.0 / (InputChannels * KernelLength));
double sd_k = Math.Sqrt(1.0 / (InputChannels * KernelLength));
if (shared != null)
{
var obj = shared as Utility.Shared.ModelParameter;
var w = new Utility.Shared.ModelParameter.WeightData(2);
w.Data[0] = new Components.RNdMatrix(OutputChannels, 1, 1, 1);
w.Data[1] = new Components.RNdMatrix(InputChannels, OutputChannels, 2 * KernelSize + 1, 2 * KernelSize + 1);
Utility.Randomizer.Noize(ref w.Data[0].Data, Utility.Randomizer.Sign.Both, 0, sd_b);
Utility.Randomizer.Noize(ref w.Data[1].Data, Utility.Randomizer.Sign.Both, 0, sd_k);
obj.Weignt.Add(w);
WeightBias = new Components.RNdMatrix(w.Data[0].Shape);
WeightBias.Data = (w.Data[0].Data.Clone()) as Components.Real[];
WeightKernel = new Components.RNdMatrix(w.Data[1].Shape);
WeightKernel.Data = (w.Data[1].Data.Clone()) as Components.Real[];
WeightDifference = w.Difference.Clone() as Components.Real[];
}
else
{
if (!ObjectDecoded)
{
WeightBias = (new Components.RNdMatrix(OutputChannels, 1, 1, 1)) as Components.RNdMatrix;
WeightKernel = (new Components.RNdMatrix(InputChannels, OutputChannels, 2 * KernelSize + 1, 2 * KernelSize + 1)) as Components.RNdMatrix;
Utility.Randomizer.Noize(ref WeightBias.Data, Utility.Randomizer.Sign.Both, 0, sd_b);
Utility.Randomizer.Noize(ref WeightKernel.Data, Utility.Randomizer.Sign.Both, 0, sd_k);
}
WeightDifference = new Components.Real[2];
}
}
