Exemple #1
0
        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 })
                    {
                        foreach (int inwidth in new int[] { 8, 9, 13, 17 })
                        {
                            foreach (int inheight in new int[] { 8, 9, 19, 23 })
                            {
                                float[] xval  = (new float[inwidth * inheight * inchannels * batch]).Select((_, idx) => idx * 1e-3f).ToArray();
                                float[] gyval = (new float[inwidth * inheight * outchannels * batch]).Select((_, idx) => idx * 1e-3f).Reverse().ToArray();

                                Map2D x  = new Map2D(inchannels, inwidth, inheight, batch, xval);
                                Map2D gy = new Map2D(outchannels, inwidth, inheight, batch, gyval);

                                Filter2D gw = Reference(x, gy);

                                OverflowCheckedTensor x_tensor  = new OverflowCheckedTensor(Shape.Map2D(inchannels, inwidth, inheight, batch), xval);
                                OverflowCheckedTensor gy_tensor = new OverflowCheckedTensor(Shape.Map2D(outchannels, inwidth, inheight, batch), gyval);

                                OverflowCheckedTensor gw_tensor = new OverflowCheckedTensor(Shape.Kernel0D(inchannels, outchannels));

                                PointwiseKernelProduct ope = new PointwiseKernelProduct(inwidth, inheight, inchannels, outchannels, batch);

                                ope.Execute(x_tensor, gy_tensor, gw_tensor);

                                float[] gw_expect = gw.ToArray();
                                float[] gw_actual = gw_tensor.State;

                                CollectionAssert.AreEqual(xval, x_tensor.State);
                                CollectionAssert.AreEqual(gyval, gy_tensor.State);

                                AssertError.Tolerance(gw_expect, gw_actual, 1e-7f, 1e-5f, ref max_err, $"mismatch value {inchannels},{outchannels},{inwidth},{inheight},{batch}");

                                Console.WriteLine($"pass: {inchannels},{outchannels},{inwidth},{inheight},{batch}");
                            }
                        }
                    }
                }
            }

            Console.WriteLine($"maxerr:{max_err}");
        }
        public void SpeedTest()
        {
            int inwidth = 512, inchannels = 32, outchannels = 63;

            OverflowCheckedTensor x_tensor  = new OverflowCheckedTensor(Shape.Map1D(inchannels, inwidth));
            OverflowCheckedTensor gy_tensor = new OverflowCheckedTensor(Shape.Map1D(outchannels, inwidth));

            OverflowCheckedTensor gw_tensor = new OverflowCheckedTensor(Shape.Kernel0D(inchannels, outchannels));

            PointwiseKernelProduct ope      = new PointwiseKernelProduct(inwidth, inchannels, outchannels);

            Stopwatch sw = new Stopwatch();

            sw.Start();

            ope.Execute(x_tensor, gy_tensor, gw_tensor);
            ope.Execute(x_tensor, gy_tensor, gw_tensor);
            ope.Execute(x_tensor, gy_tensor, gw_tensor);
            ope.Execute(x_tensor, gy_tensor, gw_tensor);

            sw.Stop();

            Console.WriteLine($"{sw.ElapsedMilliseconds / 4} msec");
        }