protected V ApplyKernels <NumT, T, V, S>(S state, Func <S, V, int, int, int, int, T> applyKernel, V input) where NumT : struct, Num <T, V> where V : IList <T>
{
V output = default(NumT).CreateVector(OutputDimension);
int stride = Stride;
int jbound = Utils.UImageCoordinate.ComputeOutputCounts(KernelDimension, InputCoordinates.RowCount, Stride, Padding, true);
int kbound = Utils.UImageCoordinate.ComputeOutputCounts(KernelDimension, InputCoordinates.ColumnCount, Stride, Padding, true);
for (int i = 0; i < InputCoordinates.ChannelCount; i++)
{
for (int j = 0; j < jbound; j++)
{
for (int k = 0; k < kbound; k++)
{
int index = OutputCoordinates.GetIndex(i, j, k);
T value = applyKernel(state, input, index, i, j * stride, k * stride);
output[index] = value;
}
}
}
return(output);
}
public void Evaluate <NumT, T, V>(V input, V output)
where NumT : struct, Num <T, V>
where V : IList <T>
{
var jBound = Utils.UImageCoordinate.ComputeOutputCounts(KernelDimension, InputCoordinates.RowCount, 1, Padding, false);
var kBound = Utils.UImageCoordinate.ComputeOutputCounts(KernelDimension, InputCoordinates.ColumnCount, 1, Padding, false);
Parallel.For(0, KernelCount, new ParallelOptions {
MaxDegreeOfParallelism = Environment.ProcessorCount
}, i =>
{
for (int j = 0; j < jBound; j++)
{
for (int k = 0; k < kBound; k++)
{
int outIndex = OutputCoordinates.GetIndex(i, j, k);
var tmp = default(NumT).Const(0.0);
ApplyKernel <NumT, T, V>(ref tmp, input, Padding, i, j, k);
output[outIndex] = tmp;
}
}
});
}
