public void ExecuteTest()
{
float max_err = 0;
foreach (int batch in new int[] { 1, 2 })
{
foreach (int inchannels in new int[] { 3, 5 })
{
foreach (int scale in new int[] { 2, 3, 4 })
{
foreach (int outwidth in new int[] { 5, 7, 11 })
{
foreach (int outheight in new int[] { 5, 7, 11 })
{
foreach (int outdepth in new int[] { 5, 7, 11 })
{
int inwidth = outwidth * scale, inheight = outheight * scale, indepth = outdepth * scale, outchannels = inchannels * scale * scale * scale;
float[] xval = (new float[inwidth * inheight * indepth * inchannels * batch]).Select((_, idx) => idx * 1e-3f).ToArray();
Map3D x = new Map3D(inchannels, inwidth, inheight, indepth, batch, xval);
Map3D y = Reference(x, scale);
OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map3D(inchannels, inwidth, inheight, indepth, batch), xval);
OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map3D(outchannels, outwidth, outheight, outdepth, batch));
SpaceToChannel ope = new SpaceToChannel(inwidth, inheight, indepth, inchannels, scale, batch);
ope.Execute(x_tensor, y_tensor);
float[] y_expect = y.ToArray();
float[] y_actual = y_tensor.State;
CollectionAssert.AreEqual(xval, x_tensor.State);
AssertError.Tolerance(y_expect, y_actual, 1e-7f, 1e-5f, ref max_err, $"mismatch value {inchannels},{outchannels},{scale},{inwidth},{inheight},{indepth},{batch}");
Console.WriteLine($"pass: {inchannels},{scale},{inwidth},{inheight},{indepth},{batch}");
}
}
}
}
}
}
Console.WriteLine($"maxerr:{max_err}");
}
public void SpeedTest()
{
int inwidth = 64, inheight = 64, indepth = 64, inchannels = 32, scale = 2;
int outwidth = inwidth / scale, outheight = inheight / scale, outdepth = indepth / scale, outchannels = inchannels * (scale * scale * scale);
OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map3D(inchannels, inwidth, inheight, indepth));
OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map3D(outchannels, outwidth, outheight, outdepth));
SpaceToChannel ope = new SpaceToChannel(inwidth, inheight, indepth, inchannels, scale);
Stopwatch sw = new Stopwatch();
sw.Start();
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
sw.Stop();
Console.WriteLine($"{sw.ElapsedMilliseconds / 4} msec");
}
