public void ExecuteTest()
{
float max_err = 0;
foreach (int batch in new int[] { 1, 2 })
{
foreach (int inchannels in new int[] { 1, 2, 3, 4, 5, 10, 15, 20 })
{
foreach (int outchannels in new int[] { 7, 13 })
{
float[] xval = (new float[inchannels * batch]).Select((_, idx) => idx * 1e-3f).ToArray();
float[] yval = (new float[outchannels * batch]).Select((_, idx) => idx * 1e-3f).Reverse().ToArray();
Map0D x = new Map0D(inchannels, batch, xval);
Map0D y = new Map0D(outchannels, batch, yval);
Filter0D gw = Reference(x, y);
OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map0D(inchannels, batch), xval);
OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map0D(outchannels, batch), yval);
OverflowCheckedTensor gw_tensor = new OverflowCheckedTensor(Shape.Kernel0D(inchannels, outchannels));
KernelProduct ope = new KernelProduct(inchannels, outchannels, batch);
ope.Execute(x_tensor, y_tensor, gw_tensor);
float[] gw_expect = gw.ToArray();
float[] gw_actual = gw_tensor.State;
CollectionAssert.AreEqual(xval, x_tensor.State);
CollectionAssert.AreEqual(yval, y_tensor.State);
AssertError.Tolerance(gw_expect, gw_actual, 1e-7f, 1e-5f, ref max_err, $"mismatch value {inchannels},{outchannels},{batch}");
Console.WriteLine($"pass: {inchannels},{outchannels},{batch}");
}
}
}
Console.WriteLine($"maxerr:{max_err}");
}
public void ReferenceTest()
{
int inchannels = 7, outchannels = 11, batch = 2;
float[] xval = (new float[batch * inchannels]).Select((_, idx) => idx * 1e-3f).ToArray();
float[] yval = (new float[batch * outchannels]).Select((_, idx) => idx * 1e-3f).Reverse().ToArray();
Map0D x = new Map0D(inchannels, batch, xval);
Map0D y = new Map0D(outchannels, batch, yval);
Filter0D gw = Reference(x, y);
float[] gw_expect =
{
7.0000e-05f, 1.0100e-04f, 1.3200e-04f, 1.6300e-04f, 1.9400e-04f,
2.2500e-04f, 2.5600e-04f, 6.3000e-05f, 9.2000e-05f, 1.2100e-04f,
1.5000e-04f, 1.7900e-04f, 2.0800e-04f, 2.3700e-04f, 5.6000e-05f,
8.3000e-05f, 1.1000e-04f, 1.3700e-04f, 1.6400e-04f, 1.9100e-04f,
2.1800e-04f, 4.9000e-05f, 7.4000e-05f, 9.9000e-05f, 1.2400e-04f,
1.4900e-04f, 1.7400e-04f, 1.9900e-04f, 4.2000e-05f, 6.5000e-05f,
8.8000e-05f, 1.1100e-04f, 1.3400e-04f, 1.5700e-04f, 1.8000e-04f,
3.5000e-05f, 5.6000e-05f, 7.7000e-05f, 9.8000e-05f, 1.1900e-04f,
1.4000e-04f, 1.6100e-04f, 2.8000e-05f, 4.7000e-05f, 6.6000e-05f,
8.5000e-05f, 1.0400e-04f, 1.2300e-04f, 1.4200e-04f, 2.1000e-05f,
3.8000e-05f, 5.5000e-05f, 7.2000e-05f, 8.9000e-05f, 1.0600e-04f,
1.2300e-04f, 1.4000e-05f, 2.9000e-05f, 4.4000e-05f, 5.9000e-05f,
7.4000e-05f, 8.9000e-05f, 1.0400e-04f, 7.0000e-06f, 2.0000e-05f,
3.3000e-05f, 4.6000e-05f, 5.9000e-05f, 7.2000e-05f, 8.5000e-05f,
0.0000e+00f, 1.1000e-05f, 2.2000e-05f, 3.3000e-05f, 4.4000e-05f,
5.5000e-05f, 6.6000e-05f
};
float[] gw_actual = gw.ToArray();
AssertError.Tolerance(gw_expect, gw_actual, 1e-7f, 1e-5f, $"mismatch value {inchannels},{outchannels},{batch}");
}
