protected override Function BuildNetwork(Variable input, DeviceDescriptor device, string name)
{
Variable toAdd = input;
//create the size by adding 0s if the input size is smaller than the hidden size
if (input.Shape[0] < HiddenSize)
{
toAdd = Layers.AddDummy(input, HiddenSize - input.Shape[0], device);
}
else if (input.Shape[0] > HiddenSize)
{
Debug.LogError("Can not have a hidden size that is smaller than the input size in resnetnode");
}
//first layer
var c1 = UnityCNTK.Layers.Dense(input, HiddenSize, device, true, name + ".Res1", InitialWeightScale);
if (normalizationMethod == NormalizationMethod.BatchNormalizatoin)
{
c1 = Layers.BatchNormalization(c1, InitialNormalizationBias, InitialNormalizationScale, BNTimeConst, BNSpatial, device, name + ".BN");
}
else if (normalizationMethod == NormalizationMethod.LayerNormalization)
{
c1 = Layers.LayerNormalization(c1, device, InitialNormalizationBias, InitialNormalizationScale, name + ".LN");
}
c1 = CNTKLib.ReLU(c1);
if (DropoutRate > 0)
{
c1 = CNTKLib.Dropout(c1, DropoutRate);
}
//second layer
var c2 = UnityCNTK.Layers.Dense(c1, hiddenSize, device, true, name + ".Res2", InitialWeightScale);
if (normalizationMethod == NormalizationMethod.BatchNormalizatoin)
{
c2 = Layers.BatchNormalization(c2, InitialNormalizationBias, InitialNormalizationScale, BNTimeConst, BNSpatial, device, name + ".BN");
}
else if (normalizationMethod == NormalizationMethod.LayerNormalization)
{
c2 = Layers.LayerNormalization(c2, device, InitialNormalizationBias, InitialNormalizationScale, name + ".LN");
}
//add together
var p = CNTKLib.Plus(c2, toAdd);
p = CNTKLib.ReLU(p);
if (DropoutRate > 0)
{
p = CNTKLib.Dropout(p, DropoutRate);
}
//add parameters to list
ParameterNames.Add(ParamTypeToName(ResNodeParamType.Bias_LayerOne));
ParameterNames.Add(ParamTypeToName(ResNodeParamType.Bias_LayerTwo));
ParameterNames.Add(ParamTypeToName(ResNodeParamType.Weight_LayerOne));
ParameterNames.Add(ParamTypeToName(ResNodeParamType.Weight_LayerTwo));
return(p);
}