Get2DArray(int cols, int rows)
{
double[][] array2D =
SupportFunctions.Get2DArray(cols,
rows, _maxParallelThreads);
return(array2D);
}
public SingleFilterUnit(LayerBase upStreamLayer,
int windowSize, //FilterSize is always square
int strideSize,
int maxParallelThreads,
double weightBaseValue) : base(upStreamLayer, strideSize, maxParallelThreads)
{
//The weight matrix should equal FilterSize
_weights = SupportFunctions.Get2DArray(windowSize,
windowSize);
_weightBaseValue = weightBaseValue;
SetValueMap(windowSize);
}
protected void SetValueMap(int noOfInputColumns,
int noOfInputRows,
int windowSize)
{
//Computed value will depend on stride size
int noOfOutputCols = noOfInputColumns;
int noOfOutputRows = noOfInputRows;
//For Input Layer ComputedValue/FilterMap values remain the same
if (windowSize != 0) //If not an input layer
{
//Standard formula to determine FilterMap size
double _temp = ((noOfInputColumns - windowSize)
/ _stride) + 1;
if (Math.Round(_temp) != _temp)
{
throw new InvalidStrideValueException();
}
else
{
noOfOutputCols = Convert.ToInt32(_temp);
}
_temp = ((noOfInputRows - windowSize)
/ _stride) + 1;
if (Math.Round(_temp) != _temp)
{
throw new InvalidStrideValueException();
}
else
{
noOfOutputRows = Convert.ToInt32(_temp);
}
}
//Set FilterMap Size
ValueMap = SupportFunctions.Get2DArray(noOfOutputCols,
noOfOutputRows);
}