public void AveragePoolingLayer_Forward()
{
var bottom = new Tensor(1, 1, 3, 3);
var filler = new ConstantFiller(2.0d);
filler.Fill(bottom);
var layer = new AveragePoolingLayer(3, 1, 1);
layer.Setup(bottom, top);
Assert.Equal(1, top.Num);
Assert.Equal(1, top.Channels);
Assert.Equal(3, top.Height);
Assert.Equal(3, top.Width);
layer.Forward(bottom, top);
using (var topCpu = top.OnCpu())
{
var topData = topCpu.Data;
AssertInRange(8.0d / 9, topData[0]);
AssertInRange(4.0d / 3, topData[1]);
AssertInRange(8.0d / 9, topData[2]);
AssertInRange(4.0d / 3, topData[3]);
AssertInRange(2.0d, topData[4]);
AssertInRange(4.0d / 3, topData[5]);
AssertInRange(8.0d / 9, topData[6]);
AssertInRange(4.0d / 3, topData[7]);
AssertInRange(8.0d / 9, topData[8]);
}
}
public void AveragePoolingLayer_BackwardGradient( Size kernel, Size stride, Size padding )
{
var filler = new ConstantFiller(2.0d);
filler.Fill(bottom);
var checker = new GradientChecker(1e-2f, 1e-2f);
var layer = new AveragePoolingLayer(kernel, stride, padding);
checker.CheckExhaustive(layer, bottom, top);
}
public void AveragePoolingLayer_SetupPadded()
{
var layer = new AveragePoolingLayer(3, 2, 1);
layer.Setup(bottom, top);
Assert.Equal(bottom.Num, top.Num);
Assert.Equal(bottom.Channels, top.Channels);
Assert.Equal(4, top.Height);
Assert.Equal(3, top.Width);
}
