public void BatchDivisionTest2()
{
// Sequential
float[,]
x = Enumerable.Range(0, 20000 * 784).Select(_ => ThreadSafeRandom.NextUniform(100)).ToArray().AsSpan().AsMatrix(20000, 784),
y = Enumerable.Range(0, 20000 * 10).Select(_ => ThreadSafeRandom.NextUniform(100)).ToArray().AsSpan().AsMatrix(20000, 10);
BatchesCollection batches = BatchesCollection.From((x, y), 1547);
HashSet <int> set1 = new HashSet <int>();
for (int i = 0; i < 20000; i++)
{
set1.Add(GetUid(x, i) ^ GetUid(y, i));
}
HashSet <int> set2 = new HashSet <int>();
for (int i = 0; i < batches.BatchesCount; i++)
{
int h = batches.Batches[i].X.GetLength(0);
for (int j = 0; j < h; j++)
{
set2.Add(GetUid(batches.Batches[i].X, j) ^ GetUid(batches.Batches[i].Y, j));
}
}
Assert.IsTrue(set1.OrderBy(h => h).SequenceEqual(set2.OrderBy(h => h)));
batches.CrossShuffle();
HashSet <int> set3 = new HashSet <int>();
for (int i = 0; i < batches.BatchesCount; i++)
{
int h = batches.Batches[i].X.GetLength(0);
for (int j = 0; j < h; j++)
{
set3.Add(GetUid(batches.Batches[i].X, j) ^ GetUid(batches.Batches[i].Y, j));
}
}
Assert.IsTrue(set1.OrderBy(h => h).SequenceEqual(set3.OrderBy(h => h)));
}
public MainWindow()
{
InitializeComponent();
CPPNSettings.ThumbnailWidth = 360;
CPPNSettings.ThumbnailHeight = 240;
CPPNSettings.RenderWidth = 15360;
CPPNSettings.RenderHeight = 8640;
CPPNSettings.PaletteSize = 65535;
CPPNSettings.UseColor = false;
CPPNSettings.GenerateWeight = () => ThreadSafeRandom.NextUniform() * 4;
//CPPNSettings.GenerateWeight = () => 1;
CPPNSettings.Activations.Add(Activations.Tanh);
CPPNSettings.Activations.Add(Activations.Gaussian);
CPPNSettings.Activations.Add(Activations.Sin);
//CPPNSettings.Activations.Add(Activations.Cos);
//CPPNSettings.Activations.Add(Activations.ID);
//CPPNSettings.Activations.Add(Activations.Sqrt);
//CPPNSettings.Activations.Add(x => x.Magnitude);
//CPPNSettings.Activations.Add(x => -x);
//CPPNSettings.Activations.Add(x => SharpNoise.NoiseGenerator.GradientCoherentNoise3D(x, 1, 1));
//CPPNSettings.Activations.Add(x => x < -1 ? -1 : x > 1 ? 1 : x);
//CPPNSettings.Activations.Add(Activations.ArcTan);
//CPPNSettings.Activations.Add(Activations.Sigmoid);
//CPPNSettings.Activations.Add(Activations.AbsTanh);
//CPPNSettings.Activations.Add(Activations.Abs);
//CPPNSettings.Activations.Add(Activations.Sinc);
CPPNSettings.Activations.Add(Activations.Square);
CPPNSettings.Activations.Add(Activations.Cube);
////CPPNSettings.Activations.Add(Activations.Sqrt);
//CPPNSettings.Activations.Add(Activations.Log);
//CPPNSettings.Activations.Add(Activations.Recp);
//CPPNSettings.Activations.Add(x => x % 1.0);
CPPNSettings.Combinators.Add((x, y) => x + y);
//CPPNSettings.Combinators.Add((x, y) => x * y);
//CPPNSettings.Combinators.Add((x, y) => x % y);
//CPPNSettings.Combinators.Add((x, y) => Math.Min(x.Magnitude, y.Magnitude));
//CPPNSettings.Combinators.Add((x, y) => {
// var a = Math.Cos(x / (2 * Math.PI));
// var b = Math.Sin(x / (2 * Math.PI));
// var c = Math.Cos(y / (2 * Math.PI));
// var d = Math.Sin(y / (2 * Math.PI));
// var r = (a * c) - (b * d);
// var i = (a * d) + (c * b);
// return Math.Atan2(i, r);
//});
CPPNSettings.OutputTransform = Activations.ID;
InitializePopulation();
RenderPopulation();
}
public void BatchInitializationTest()
{
float[,]
x = Enumerable.Range(0, 250 * 600).Select(_ => ThreadSafeRandom.NextUniform(1000)).ToArray().AsSpan().AsMatrix(250, 600),
y = Enumerable.Range(0, 250 * 10).Select(_ => ThreadSafeRandom.NextUniform(500)).ToArray().AsSpan().AsMatrix(250, 10);
(float[], float[])[] samples = Enumerable.Range(0, 250).Select(i =>
