private void CreatePValues()
{
pValuesPool = mlp.Adapter.DeviceArrayManagement.CreatePool();
int uLayersCount = mlp.Layers.Count - 1;
for (int lidx = 1; lidx < mlp.Layers.Count; lidx++)
{
var layer = mlp.Layers[lidx];
var biases = mlp.Biases[lidx];
var pWeightValues = new LinkedList<Marshaled<IDeviceArray[]>[]>();
// Biases:
var pWeightValuesOfInput = new Marshaled<IDeviceArray[]>[biases.Size];
for (int biasIndex = 0; biasIndex < biases.Size; biasIndex++)
{
pWeightValuesOfInput[biasIndex] = mlp.AsMarshaled(new IDeviceArray[uLayersCount]);
for (int lidx2 = 0; lidx2 < uLayersCount; lidx2++)
{
pWeightValuesOfInput[biasIndex].Instance()[lidx2] = pValuesPool.CreateArray(GetULayerSize(lidx2));
}
}
pWeightValues.AddLast(pWeightValuesOfInput);
// Weighted conns:
foreach (var inputConnectedLayer in layer.Layer.GetInputLayers())
{
int inputIndex = mlp.GetLayerIndex(inputConnectedLayer);
var key = Tuple.Create(inputIndex, lidx);
var weigths = mlp.Weights[key];
pWeightValuesOfInput = new Marshaled<IDeviceArray[]>[weigths.Size];
for (int weightIndex = 0; weightIndex < weigths.Size; weightIndex++)
{
pWeightValuesOfInput[weightIndex] = mlp.AsMarshaled(new IDeviceArray[uLayersCount]);
for (int lidx2 = 0; lidx2 < uLayersCount; lidx2++)
{
pWeightValuesOfInput[weightIndex].Instance()[lidx2] = pValuesPool.CreateArray(GetULayerSize(lidx2));
}
}
pWeightValues.AddLast(pWeightValuesOfInput);
}
this.pWeightValues.Add(pWeightValues.ToArray());
}
}
private void CreatePValues()
{
var pvs = new LinkedList<IDeviceArray2[]>();
pValuesPool = mlp.Adapter.DeviceArrayManagement.CreatePool();
uLayersCount = mlp.Layers.Count - 1;
maxULayerSize = mlp.Layers.Where(l => l.Index != 0).Max(l => l.Layer.Size);
for (int lidx = 1; lidx < mlp.Layers.Count; lidx++)
{
var lpvs = new LinkedList<IDeviceArray2>();
var layer = mlp.Layers[lidx];
var biases = mlp.Biases[lidx];
lpvs.AddLast(CreatePValuesForWeights(biases));
foreach (var inputConnectedLayer in layer.Layer.GetInputLayers())
{
int inputIndex = mlp.GetLayerIndex(inputConnectedLayer);
var wkey = Tuple.Create(inputIndex, lidx);
var weigths = mlp.Weights[wkey];
lpvs.AddLast(CreatePValuesForWeights(weigths));
}
pvs.AddLast(lpvs.ToArray());
}
pValues = pvs.ToArray();
}
private void Free()
{
if (pValuesPool != null)
{
ResourceManager.Free(pValuesPool);
foreach (var p in pWeightValues) Free(p);
pValuesPool = null;
}
}
