public static void _V_X_M_line_M(Index2 size, ArrayView2D <float> output, ArrayView2D <float> m, ArrayView <float> v)
{
int x = size.X;
int y = size.Y;
output[x, y] = v[x] * m[x, y];
}
public static void Frame(Index2 index, ArrayView2D <Vector4> dataView, Index2 canvasSize)
{
float g = index.X / (float)canvasSize.X;
float r = index.Y / (float)canvasSize.Y;
dataView[index] = new Vector4(r, g, 0f, 255f);
}
public static void MyKernel2(Index1 index, ArrayView2D <byte> dataView)
{
for (int i = 0; i < dataView.Height; i++)
{
dataView[new Index2(index.X, i)] = (byte)i;
}
}
public static void kernel_M_ApplyMask(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> arr, ArrayView2D <byte> mask)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = arr[x, y] * mask[x, y];
}
public static void kernel_V_mult_VT(Index2 pos, ArrayView2D <float> output, ArrayView <float> v, ArrayView <float> vt)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = v[x] * vt[y];
}
public static void kernel_M_div_C(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m, float c)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m[x, y] / c;
}
public static void kernel_m_Sqrt(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> arr)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = GPUMath.Sqrt(arr[x, y]);
}
public static void M_sub_M(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m0, ArrayView2D <float> m1)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m0[x, y] - m1[x, y];
}
public static void M_mult_VT(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m, ArrayView <float> vt)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m[x, y] * vt[y];
}
private static void strategyPerLine(Index1 index, ArrayView2D <int> same)
{
for (int i = 1; i < same.Extent.Y; i++)
{
same[index, 0] = same[index, 0] & same[index, i];
}
}
private static void strategy(Index2 index, ArrayView2D <int> bp, Index2 offT1, Index2 offT2, Index2 tileExtent, ArrayView2D <int> same)
{
int x = index.X;
int fx = tileExtent.X - 1 - x;
int y = index.Y;
int fy = tileExtent.Y - 1 - y;
same[x, y] = 0;
int c = bp[x + offT1.X, y + offT1.Y];
if (c == bp[x + offT2.X, y + offT2.Y])
{
same[x, y]++;
}
if (c == bp[fx + offT2.X, y + offT2.Y])
{
same[x, y] += 2;
}
if (c == bp[x + offT2.X, fy + offT2.Y])
{
same[x, y] += 4;
}
if (c == bp[fx + offT2.X, fy + offT2.Y])
{
same[x, y] += 8;
}
}
private static void strategyResume(Index1 index, ArrayView2D <int> same)
{
for (int i = 1; i < same.Extent.Y; i++)
{
same[0, 0] = same[0, 0] & same[i, 0];
}
}
private static void PaintKernel(
Index i,
Template template,
ArrayView <float> series,
ArrayView2D <float> clusters,
ArrayView <int> outPutHeatMap,
float error)
{
//TODO: refactor this peace of vector creation
for (int i5 = template.Distance1 + template.Distance2 + template.Distance3 + template.Distance4,
i4 = i5 - template.Distance4,
i3 = i5 - template.Distance4 - template.Distance3,
i2 = i5 - template.Distance4 - template.Distance3 - template.Distance2,
i1 = i5 - template.Distance4 - template.Distance3 - template.Distance2 - template.Distance1;
i5 < series.Length - 1; i5++, i4++, i3++, i2++, i1++)
{
if (Math.Abs(series[i5] - clusters[i, 4]) < 0.1)
{
var vector = new float[] { series[i1], series[i2], series[i3], series[i4], series[i5] };
var cluster = new float[] { clusters[i, 0], clusters[i, 1], clusters[i, 2], clusters[i, 3], clusters[i, 4] };
double distance = DistanceCalculator.Distance(vector, cluster);
if (distance <= error)
{
outPutHeatMap[i1]++;
outPutHeatMap[i2]++;
outPutHeatMap[i3]++;
outPutHeatMap[i4]++;
}
}
}
}
public static void CalculateSliceBand(Index2 index, ArrayView2D <uint> result, ArrayView3D <short> input, int band)
{
var ind = new Index2(index.X, index.Y + input.Depth);
uint val = (uint)(input[index.X, index.Y, band] / 9000f * 255);
result[ind] = (uint)((val) + (val << 8) + (val << 16) + (255 << 24));
}
public static void kernel_M_add_M(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m0, ArrayView2D <float> m1)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m0[x, y] + m1[x, y];
}
public static void M_add_C(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m, float c)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m[x, y] + c;
}
public static void kernel_V_mult_M(Index2 pos, ArrayView2D <float> output, ArrayView <float> v, ArrayView2D <float> m)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m[x, y] * v[x];
}
public static void M_mult_MT(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m, ArrayView2D <float> mt)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = m[x, y] * mt[y, x];
}
public static void kernel_IC_div_M(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> m, int c)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = c / m[x, y];
}
public static void M_SumLine(Index2 pos, ArrayView2D <float> m, int r, int boxSize)
{
var x = pos.X;
var y = pos.Y;
m[x, y] = m[x, y] + m[x, y + r + boxSize];
}
public static void kernel_MT_mult_M(Index2 pos, ArrayView2D <float> output, ArrayView2D <float> mt, ArrayView2D <float> m)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = mt[y, x] * m[x, y];
}
public static void VT_mult_V(Index2 pos, ArrayView2D <float> output, ArrayView <float> vt, ArrayView <float> v)
{
int x = pos.X;
int y = pos.Y;
output[x, y] = vt[y] * v[x];
}
public static void kernel_M_SumColumn(Index2 pos, ArrayView2D <float> m, int r, int boxSize)
{
var x = pos.X;
var y = pos.Y;
m[x, y] = m[x, y] + m[x + r + boxSize, y];
}
private static void Product(Index index, ArrayView2D <double> layer, ArrayView2D <double> layerNext)
{
//for (int n = 0; n < layerNext.Height; ++n)
int n = index;
{
double sum = 0;
if (layerNext[1, n] == 1 && layerNext[1, n] == 2) // connected bias
{
for (int p = 0; p < layer.Height; ++p)
{
sum += layer[1, p] == 1 ? layer[0, p] * layer[3 + n, p] : 0;
}
}
if (layerNext[1, n] == 0) // not bias
{
for (int p = 0; p < layer.Height; ++p)
{
sum += layer[0, p] * layer[3 + n, p];
}
}
layerNext[0, n] = sum;
}
}
static void ProcessResultsKernelFunction(Index1 individualIndex, ArrayView2D <double> results2D, ArrayView <double> results1D)
{
for (int rowIndex = 0; rowIndex < results2D.Height; rowIndex++)
{
results1D[individualIndex] += results2D[individualIndex, rowIndex];
}
}
public DeviceData(ArrayView2D <Vec3> canvas, ParticleSystemStructOfArrays particles, int width, int height)
{
this.canvas = canvas;
this.width = width;
this.height = height;
this.particles = particles;
}
public static void CosineSimilarityKernel(
Index index,
ArrayView2D <int> dataset,
ArrayView2D <double> distances)
{
int rows = dataset.Rows;
int i = index / rows;
int j = index % rows;
if (i < j)
{
return;
}
double dotProduct = 0;
double magnitudeOne = 0;
double magnitudeTwo = 0;
for (int k = 0; k < dataset.Columns; k++)
{
dotProduct += (dataset[i, k] * dataset[j, k]);
magnitudeOne += (dataset[i, k] * dataset[i, k]);
magnitudeTwo += (dataset[j, k] * dataset[j, k]);
}
double distance = double.NaN;
double divisor = GPUMath.Sqrt(magnitudeOne * magnitudeTwo);
if (divisor != 0)
{
distance = GPUMath.Max(0, 1 - (dotProduct / divisor));
}
distances[i, j] = distance;
distances[j, i] = distance;
}
public static void Kernel(Index2 index, ArrayView2D <Vector3> dataView, Scene scene, ArrayView <Geometry> sceneGeometry, ArrayView <Light> sceneLights, int seed)
{
Vector3 outputColor = Vector3.Zero;
scene.SceneGeometry = sceneGeometry;
scene.SceneLights = sceneLights;
//Models.Random random = new Models.Random((uint) (index.X * index.Y + seed));
XorShift64Star random = new XorShift64Star((ulong)index.X + (ulong)scene.Camera.ScreenWidth * (ulong)index.Y + (ulong)seed);
float xOffset = random.NextFloat();
random.NextFloat();
float yOffset = random.NextFloat();
Ray ray = scene.Camera.GetRaySimple(index.X + (xOffset * 2f - 1f) * 0.5f, index.Y + (yOffset * 2f - 1f) * 0.5f);
Intersection intersection = scene.TraceScene(ray);
if (intersection.Hit)
{
outputColor = intersection.HitObject.Material.GetShaded(random, scene, intersection.HitPosition, ray.Direction, intersection.HitNormal);
}
else if (intersection.HitLight)
{
outputColor = intersection.HitLightObject.GetColor(ray.Direction);
}
dataView[index] += outputColor;
}
public CanvasData(ArrayView2D <Vec3> canvas, ArrayView <byte> bitmapData, int width, int height)
{
this.canvas = canvas;
this.bitmapData = bitmapData;
this.width = width;
this.height = height;
}
public static void _M_sum_lines(Index2 size, int r, ArrayView2D <float> m, int boxSize)
{
int x = size.X;
int y = size.Y;
m[x, y] = m[x, y] + m[x, y + r + boxSize];
}