private void Forward(TensorOld input, int sampleIndex, int filterIndex)
{
Parallel.For(0, outRows, row =>
{
var startRow = row * RowStride;
Parallel.For(0, outColumns, col =>
{
var startCol = col * ColumnStride;
var sum = 0d;
for (int i = 0; i < FilterRows; i++)
{
var inputRow = startRow + i;
for (int j = 0; j < FilterColumns; j++)
{
var inputCol = startCol + j;
for (int k = 0; k < channels; k++)
{
sum += PaddingInput[sampleIndex, k, inputRow, inputCol] * Filters[filterIndex, k, i, j];
}
}
}
ForwardOutput[sampleIndex, filterIndex, row, col] = sum + Bias.GetRawValues()[filterIndex];
});
});
}
public void SetBias(TensorOld bias)
{
if (Bias == null)
{
foreach (var item in mirrorList)
{
item.Bias = bias;
}
}
TensorOld.CheckShape(Bias, bias);
Array.Copy(bias.GetRawValues(), 0, Bias.GetRawValues(), 0, Bias.ElementCount);
}