public void ExecuteTest()
{
float max_err = 0;
foreach (int batch in new int[] { 1, 2 })
{
foreach (int channels in new int[] { 3, 5 })
{
foreach (int lefttrim in new int[] { 0, 1, 2 })
{
foreach (int righttrim in new int[] { 0, 1, 2 })
{
foreach (int toptrim in new int[] { 0, 1, 2 })
{
foreach (int bottomtrim in new int[] { 0, 1, 2 })
{
foreach (int inwidth in new int[] { 5, 7, 11 })
{
foreach (int inheight in new int[] { 5, 7, 11 })
{
int outwidth = inwidth - lefttrim - righttrim, outheight = inheight - toptrim - bottomtrim;
float[] xval = (new float[inwidth * inheight * channels * batch]).Select((_, idx) => idx * 1e-3f).ToArray();
Map2D x = new Map2D(channels, inwidth, inheight, batch, xval);
Map2D y = Reference(x, lefttrim, righttrim, toptrim, bottomtrim);
OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map2D(channels, inwidth, inheight, batch), xval);
OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map2D(channels, outwidth, outheight, batch));
Trimming ope = new Trimming(inwidth, inheight, channels, lefttrim, righttrim, toptrim, bottomtrim, 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, $"mismatch value {channels},{lefttrim},{righttrim},{toptrim},{bottomtrim},{inwidth},{inheight},{batch}");
Console.WriteLine($"pass: {channels},{lefttrim},{righttrim},{toptrim},{bottomtrim},{inwidth},{inheight},{batch}");
}
}
}
}
}
}
}
}
Console.WriteLine($"maxerr:{max_err}");
}
public void SpeedTest()
{
int inwidth = 512, channels = 32, lefttrim = 1, righttrim = 1;
int outwidth = inwidth - lefttrim - righttrim;
OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map1D(channels, inwidth));
OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map1D(channels, outwidth));
Trimming ope = new Trimming(inwidth, channels, lefttrim, righttrim);
Stopwatch sw = new Stopwatch();
sw.Start();
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
ope.Execute(x_tensor, y_tensor);
sw.Stop();
Console.WriteLine($"{sw.ElapsedMilliseconds / 4} msec");
}
