public override void Forward(SuperArray x)
{
base.Forward(x);
var(n, c, h, w) = x.GetConv2DShape();
int pad = 0;
if (Padding == PaddingType.Same)
{
pad = 1;
}
else if (Padding == PaddingType.Full)
{
pad = 2;
}
var h_out = (h - PoolSize.Item1 + 2 * pad) / Strides + 1;
var w_out = (w - PoolSize.Item2 + 2 * pad) / Strides + 1;
var x_reshaped = x.Reshape(n * c, 1, h, w);
xCols = ImUtil.Im2Col(x_reshaped, PoolSize, pad, Strides);
Output = Ops.Max(xCols, 0);
Output = Output.Reshape(h_out, w_out, n, c).Transpose(2, 3, 0, 1);
}
public static SuperArray Im2Col(SuperArray x, Tuple <int, int> kernalSize, int padding = 1, int stride = 1, Tuple <int, int> dialation = null)
{
if (dialation == null)
{
dialation = Tuple.Create <int, int>(1, 1);
}
var(n, c, h, w) = x.GetConv2DShape();
var out_height = (h + 2 * padding - kernalSize.Item1) / stride + 1;
var out_width = (w + 2 * padding - kernalSize.Item2) / stride + 1;
SuperArray cols = new SuperArray((c * kernalSize.Item1 * kernalSize.Item2), (n * out_height * out_width));
return(cols);
}
public override void Forward(SuperArray x)
{
base.Forward(x);
var(n, c, h, w) = x.GetConv2DShape();
Parameter weight = BuildParam("w", new Shape(Filters, c, KernalSize.Item1, KernalSize.Item2), KernalInitializer, KernalConstraint, KernalRegularizer);
Parameter bias = null;
if (UseBias)
{
bias = BuildParam("b", new Shape(Filters, 1), BiasInitializer, BiasConstraint, BiasRegularizer);
}
int pad = 0;
if (Padding == PaddingType.Same)
{
pad = 1;
}
else if (Padding == PaddingType.Full)
{
pad = 2;
}
var dialatedKernel = Tuple.Create(((KernalSize.Item1 - 1) * DialationRate.Item1 + 1), ((KernalSize.Item2 - 1) * DialationRate.Item2 + 1));
var h_out = (h - dialatedKernel.Item1 + 2 * pad) / Strides + 1;
var w_out = (w - dialatedKernel.Item2 + 2 * pad) / Strides + 1;
var wRows = weight.Data.Reshape(Filters, -1);
xCols = ImUtil.Im2Col(x, dialatedKernel, pad, Strides);
Output = Ops.Dot(wRows, xCols);
if (UseBias)
{
Output = Output + bias.Data;
}
Output = Output.Reshape(Filters, h_out, w_out, n);
Output = Output.Transpose(3, 0, 1, 2);
}
