public void ReferenceTest() { int inchannels = 9, outchannels = 12, batch = 3; float[] xval = (new float[batch * inchannels]).Select((_, idx) => idx * 1e-2f).ToArray(); float[] wval = (new float[outchannels * inchannels / 9 * 4]).Select((_, idx) => idx * 1e-2f).Reverse().ToArray(); Trivector[] xcval = (new Trivector[xval.Length / 3]) .Select((_, idx) => new Trivector(xval[idx * 3], xval[idx * 3 + 1], xval[idx * 3 + 2])).ToArray(); Quaternion.Quaternion[] wcval = (new Quaternion.Quaternion[wval.Length / 4]) .Select((_, idx) => new Quaternion.Quaternion(wval[idx * 4], wval[idx * 4 + 1], wval[idx * 4 + 2], wval[idx * 4 + 3])).ToArray(); TrivectorMap0D x = new TrivectorMap0D(inchannels / 3, batch, xcval); Quaternion.QuaternionFilter0D w = new Quaternion.QuaternionFilter0D(inchannels / 3, outchannels / 3, wcval); TrivectorMap0D y = Reference(x, w); float[] y_expect = { 9.880600000e-02f, 5.148000000e-02f, 7.391000000e-02f, 4.912600000e-02f, 2.397600000e-02f, 3.575000000e-02f, 1.672600000e-02f, 6.840000000e-03f, 1.141400000e-02f, 1.606000000e-03f, 7.200000000e-05f, 9.020000000e-04f, 2.949520000e-01f, 2.340180000e-01f, 2.567720000e-01f, 1.506640000e-01f, 1.157940000e-01f, 1.278920000e-01f, 5.476000000e-02f, 3.904200000e-02f, 4.394000000e-02f, 7.240000000e-03f, 3.762000000e-03f, 4.916000000e-03f, 4.910980000e-01f, 4.165560000e-01f, 4.396340000e-01f, 2.522020000e-01f, 2.076120000e-01f, 2.200340000e-01f, 9.279400000e-02f, 7.124400000e-02f, 7.646600000e-02f, 1.287400000e-02f, 7.452000000e-03f, 8.930000000e-03f, }; float[] y_actual = y.ToArray(); AssertError.Tolerance(y_expect, y_actual, 1e-7f, 1e-5f, $"mismatch value {inchannels},{outchannels},{batch}"); }
public void ReferenceTest() { int inchannels = 9, outchannels = 12, batch = 3; float[] yval = (new float[outchannels * batch]).Select((_, idx) => idx * 1e-2f).ToArray(); float[] wval = (new float[outchannels * inchannels / 9 * 4]).Select((_, idx) => idx * 1e-2f).Reverse().ToArray(); Trivector[] ycval = (new Trivector[yval.Length / 3]) .Select((_, idx) => new Trivector(yval[idx * 3], yval[idx * 3 + 1], yval[idx * 3 + 2])).ToArray(); Quaternion.Quaternion[] wcval = (new Quaternion.Quaternion[wval.Length / 4]) .Select((_, idx) => new Quaternion.Quaternion(wval[idx * 4], wval[idx * 4 + 1], wval[idx * 4 + 2], wval[idx * 4 + 3])).ToArray(); TrivectorMap0D y = new TrivectorMap0D(outchannels / 3, batch, ycval); Quaternion.QuaternionFilter0D w = new Quaternion.QuaternionFilter0D(inchannels / 3, outchannels / 3, wcval); TrivectorMap0D x = Reference(y, w); float[] x_expect = { 6.030000000e-02f, 2.514000000e-02f, 4.170000000e-02f, 4.426800000e-02f, 1.669200000e-02f, 2.979600000e-02f, 3.156400000e-02f, 1.054800000e-02f, 2.070800000e-02f, 2.506680000e-01f, 1.993800000e-01f, 2.165160000e-01f, 1.939320000e-01f, 1.525320000e-01f, 1.662120000e-01f, 1.466680000e-01f, 1.141320000e-01f, 1.248680000e-01f, 4.410360000e-01f, 3.736200000e-01f, 3.913320000e-01f, 3.435960000e-01f, 2.883720000e-01f, 3.026280000e-01f, 2.617720000e-01f, 2.177160000e-01f, 2.290280000e-01f }; float[] x_actual = x.ToArray(); AssertError.Tolerance(x_expect, x_actual, 1e-7f, 1e-5f, $"mismatch value {inchannels},{outchannels},{batch}"); }
public void ExecuteTest() { float max_err = 0; foreach (int batch in new int[] { 1, 2, 3 }) { foreach (int inchannels in new int[] { 3, 6, 9, 12 }) { foreach (int outchannels in new int[] { 3, 6, 9, 12 }) { 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(); float[] wval = (new float[inchannels * outchannels / 9 * 4]).Select((_, idx) => idx * 1e-3f).Reverse().ToArray(); Trivector[] xcval = (new Trivector[xval.Length / 3]) .Select((_, idx) => new Trivector(xval[idx * 3], xval[idx * 3 + 1], xval[idx * 3 + 2])).ToArray(); Trivector[] ycval = (new Trivector[yval.Length / 3]) .Select((_, idx) => new Trivector(yval[idx * 3], yval[idx * 3 + 1], yval[idx * 3 + 2])).ToArray(); Quaternion.Quaternion[] wcval = (new Quaternion.Quaternion[wval.Length / 4]) .Select((_, idx) => new Quaternion.Quaternion(wval[idx * 4], wval[idx * 4 + 1], wval[idx * 4 + 2], wval[idx * 4 + 3])).ToArray(); TrivectorMap0D x = new TrivectorMap0D(inchannels / 3, batch, xcval); TrivectorMap0D y = new TrivectorMap0D(outchannels / 3, batch, ycval); Quaternion.QuaternionFilter0D w = new Quaternion.QuaternionFilter0D(inchannels / 3, outchannels / 3, wcval); Quaternion.QuaternionFilter0D gw = Reference(x, y, w); OverflowCheckedTensor x_tensor = new OverflowCheckedTensor(Shape.Map0D(inchannels, batch), xval); OverflowCheckedTensor y_tensor = new OverflowCheckedTensor(Shape.Map0D(outchannels, batch), yval); OverflowCheckedTensor w_tensor = new OverflowCheckedTensor(Shape.Kernel0D(inchannels / 3 * 4, outchannels / 3), wval); OverflowCheckedTensor gw_tensor = new OverflowCheckedTensor(Shape.Kernel0D(inchannels / 3 * 4, outchannels / 3)); TrivectorKernelProductDense ope = new TrivectorKernelProductDense(inchannels, outchannels, transpose: false, batch); ope.Execute(x_tensor, y_tensor, w_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); CollectionAssert.AreEqual(wval, w_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 static TrivectorMap0D Reference(TrivectorMap0D y, Quaternion.QuaternionFilter0D w) { int inchannels = w.InChannels, outchannels = w.OutChannels, batch = y.Batch; TrivectorMap0D x = new TrivectorMap0D(inchannels, batch); for (int th = 0; th < batch; th++) { for (int outch = 0; outch < outchannels; outch++) { Trivector v = y[outch, th]; for (int inch = 0; inch < inchannels; inch++) { x[inch, th] += v * w[inch, outch]; } } } return(x); }
public static TrivectorMap0D Reference(TrivectorMap0D x, Quaternion.QuaternionFilter0D w) { int inchannels = x.Channels, outchannels = w.OutChannels, batch = x.Batch; TrivectorMap0D y = new TrivectorMap0D(outchannels, batch); for (int th = 0; th < batch; th++) { for (int outch = 0; outch < outchannels; outch++) { Trivector sum = y[outch, th]; for (int inch = 0; inch < inchannels; inch++) { sum += x[inch, th] * w[inch, outch]; } y[outch, th] = sum; } } return(y); }
public static Quaternion.QuaternionFilter0D Reference(TrivectorMap0D x, TrivectorMap0D gy, Quaternion.QuaternionFilter0D w) { int inchannels = x.Channels, outchannels = gy.Channels, batch = x.Batch; Quaternion.QuaternionFilter0D gw = new Quaternion.QuaternionFilter0D(inchannels, outchannels); for (int inch, outch = 0; outch < outchannels; outch++) { for (inch = 0; inch < inchannels; inch++) { Quaternion.Quaternion sum = 0; Quaternion.Quaternion q = w[inch, outch]; for (int th = 0; th < batch; th++) { sum += Trivector.MulQGrad(x[inch, th], gy[outch, th], q); } gw[inch, outch] += sum; } } return(gw); }