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}"); }