public override Value PassBackward(Value value)
{
var output = new double[_inputeFm.Channels, _inputeFm.Size, _inputeFm.Size];
for (int i = 0; i < _numberOfKernels; i++)
{
var kernel = value.Multi.GetSlice(i);
kernel = MatrixProcessor.Pad(kernel, _kernelSize - 1);
for (int j = 0; j < _inputeFm.Channels; j++)
{
var weight = _kernels[i].Weights.GetSlice(j);
weight = MatrixProcessor.Flip(weight);
var conv = MatrixProcessor.Convolute(kernel, weight);
conv.ForEach((q, ii, jj) => output[j, ii, jj] += q);
}
}
return(new MultiValue(output));
}
public void PadMatrixTest()
{
var initial = new double[2, 3, 3]
{
{
{ 11, 12, 13 },
{ 21, 22, 23 },
{ 31, 32, 33 }
},
{
{ 11, 12, 13 },
{ 21, 22, 23 },
{ 31, 32, 33 }
},
};
var expected = new double[2, 7, 7]
{
{
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 11, 12, 13, 0, 0 },
{ 0, 0, 21, 22, 23, 0, 0 },
{ 0, 0, 31, 32, 33, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
},
{
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 11, 12, 13, 0, 0 },
{ 0, 0, 21, 22, 23, 0, 0 },
{ 0, 0, 31, 32, 33, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
},
};
var actual = MatrixProcessor.Pad(initial, 2);
Helper.CompareArrays(expected, actual);
}