float NearestCC_dist; //. similarity to closest
public override void Init(int nGPU)
{
m_kernel_AddNewCCenter = MyKernelFactory.Instance.Kernel(nGPU, @"Vision\KMeansWM", "AddDataAsCC");
m_kernel_AddNewCCenter.SetupExecution(Owner.DescCount);
m_kernel_UpadteCC_desc = MyKernelFactory.Instance.Kernel(nGPU, @"Vision\KMeansWM", "UpadateCC_Desc");
m_kernel_UpadteCC_desc.SetupExecution(Owner.DescCount);
m_kernel_UpdateCC_XY = MyKernelFactory.Instance.Kernel(nGPU, @"Vision\KMeansWM", "UpdateCC_XY");
m_kernel_UpdateCC_XY.SetupExecution(Owner.ObjectXY.Count);
m_dotKernel = MyKernelFactory.Instance.KernelProduct <float>(Owner, nGPU, ProductMode.f_DotProduct_f);
m_mulKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Transforms\TransformKernels", "PolynomialFunctionKernel");
m_mulKernel.SetupExecution(Owner.DescCount);
m_matMultpl = MyKernelFactory.Instance.Kernel(Owner.GPU, @"Common\CombineVectorsKernel", "MatMultipl_naive");
m_matMultpl.GridDimensions = new ManagedCuda.VectorTypes.dim3(1, Owner.DescCount);
m_matMultpl.BlockDimensions = new ManagedCuda.VectorTypes.dim3(1, 1);
m_minIdxKernel = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_MinIdx_ff);
m_kernel_UpdateXY_basedOnTheBrainsMovement = MyKernelFactory.Instance.Kernel(nGPU, @"Vision\KMeansWM", "ApplyBrainsMovement");
m_kernel_UpdateCC_XY.SetupExecution(Owner.MaxClusters);
}
public override void Init(int nGPU)
{
windowIdx = 0;
elementselementsCountN = 0;
columnsN = Owner.Input.ColumnHint;
rowsN = Owner.Input.Count / Owner.Input.ColumnHint;
columnsN = Owner.Input.ColumnHint;
elementsN = Owner.Input.Count;
m_actualConslMeans = new float[Owner.Output.Count];
m_sumKernel = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_Sum_f);
}
public override void Init(int nGPU)
{
m_initCentroidsKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "InitCentroidsKernel");
m_computeEuklidianDistancesKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "ComputeEuklidianDistancesKernel");
m_findNearestCentroidKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "FindNearestCentroidKernel");
m_sumNewCentroidCoordinatesKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "SumNewCentroidCoordinatesKernel");
m_avgCentroidCoordinatesKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "AvgCentroidCoordinatesKernel");
m_copyInputToVisFieldKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "CopyInputToVisFieldKernel");
m_markCentroidsKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Clustering\KMeansKernel", "MarkCentroidsKernel");
m_reduction = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_Sum_f);
m_d_changeFlag = new CudaDeviceVariable <int>(1);
m_h_changeFlag = new int[1];
}
public override void Init(int nGPU)
{
random = new Random();
if (Owner.Method == ControlMethod.SimpleMean)
{
m_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "PrepareMeanStdDev");
m_reduction_kernel = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_Sum_f);
m_finalize_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "FinalizeMeanStdDev");
m_eye_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Retina\FindBrightSpotKernel", "ApplyEyeMovement");
m_imageWidth = Owner.AttentionMap.ColumnHint;
m_imageHeight = Owner.AttentionMap.Count / m_imageWidth;
m_finalize_kernel.SetupExecution(1);
}
else
{
m_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "PrepareK_Means");
m_reduction_kernel = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_Sum_f);
m_sumKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "SumCentroids");
m_finalize_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "FinalizeK_Means");
m_dbiKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "EvaluateDBI");
m_1meansKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "Prepare_1_MeansForJoin");
m_2meansKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\Statistics", "Prepare_2_MeansForDivision");
m_eye_kernel = MyKernelFactory.Instance.Kernel(nGPU, @"Retina\FindBrightSpotKernel", "ApplyEyeMovement");
m_setKernel = MyKernelFactory.Instance.Kernel(nGPU, @"Common\SetKernel");
m_imageWidth = Owner.AttentionMap.ColumnHint;
m_imageHeight = Owner.AttentionMap.Count / m_imageWidth;
}
m_kernel.SetupExecution(Owner.AttentionMap.Count);
m_1meansKernel.SetupExecution(Owner.AttentionMap.Count);
m_2meansKernel.SetupExecution(Owner.AttentionMap.Count);
m_eye_kernel.SetupExecution(1);
Owner.m_centroidsCount = 5;
}
public override void Init(int nGPU)
{
lastIdx = -1;
if (Owner.UseBSCVariety)
{
m_sum = MyKernelFactory.Instance.KernelReduction <float>(Owner, nGPU, ReductionMode.f_Sum_f);
}
else
{
m_dot = MyKernelFactory.Instance.KernelProduct <float>(Owner, nGPU, ProductMode.f_DotProduct_f);
}
MyMemoryManager.Instance.ClearGlobalVariable(Owner.GlobalVariableName, nGPU);
if (Owner.UseBSCVariety)
{
m_similarityKernel = MyKernelFactory.Instance.Kernel(Owner.GPU, @"Common\CombineVectorsKernel", "CombineTwoVectorsKernel");
m_similarityKernel.SetupExecution(Owner.SymbolSize);
}
}
public MyDistanceOps(MyWorkingNode caller, DistanceOperation operations, MyMemoryBlock <float> tempBlock = null)
{
m_caller = caller;
m_operations = operations;
m_temp = tempBlock;
if (operations.HasFlag(DistanceOperation.DotProd))
{
m_dotKernel = MyKernelFactory.Instance.KernelProduct <float>(caller, caller.GPU, ProductMode.f_DotProduct_f);
}
if (operations.HasFlag(DistanceOperation.CosDist))
{
m_cosKernel = MyKernelFactory.Instance.KernelProduct <float>(caller, caller.GPU, ProductMode.f_Cosine_f);
}
if (operations.HasFlag(DistanceOperation.EuclidDist) || operations.HasFlag(DistanceOperation.EuclidDistSquared))
{
// EuclidDist computes EuclidDistSquared first, so keep them together:
m_operations |= DistanceOperation.EuclidDist | DistanceOperation.EuclidDistSquared;
m_dotKernel = MyKernelFactory.Instance.KernelProduct <float>(caller, caller.GPU, ProductMode.f_DotProduct_f);
}
if (operations.HasFlag(DistanceOperation.HammingDist))
{
m_reduceSumKernel = MyKernelFactory.Instance.KernelReduction <float>(caller, caller.GPU, ReductionMode.f_Sum_f);
}
if (operations.HasFlag(DistanceOperation.HammingSim))
{
m_reduceSumKernel = MyKernelFactory.Instance.KernelReduction <float>(caller, caller.GPU, ReductionMode.f_Sum_f);
}
if (operations.HasFlag(DistanceOperation.EuclidDist) || operations.HasFlag(DistanceOperation.EuclidDistSquared) ||
operations.HasFlag(DistanceOperation.HammingDist) || operations.HasFlag(DistanceOperation.HammingSim))
{
m_combineVecsKernel = MyKernelFactory.Instance.Kernel(m_caller.GPU, @"Common\CombineVectorsKernel", "CombineTwoVectorsKernel");
}
}
public MyDistanceOps(MyWorkingNode caller, DistanceOperation operations, MyMemoryBlock<float> tempBlock = null)
{
m_caller = caller;
m_operations = operations;
m_temp = tempBlock;
if (operations.HasFlag(DistanceOperation.DotProd))
{
m_dotKernel = MyKernelFactory.Instance.KernelProduct<float>(caller, caller.GPU, ProductMode.f_DotProduct_f);
}
if (operations.HasFlag(DistanceOperation.CosDist))
{
m_cosKernel = MyKernelFactory.Instance.KernelProduct<float>(caller, caller.GPU, ProductMode.f_Cosine_f);
}
if (operations.HasFlag(DistanceOperation.EuclidDist) || operations.HasFlag(DistanceOperation.EuclidDistSquared))
{
// EuclidDist computes EuclidDistSquared first, so keep them together:
m_operations |= DistanceOperation.EuclidDist | DistanceOperation.EuclidDistSquared;
m_dotKernel = MyKernelFactory.Instance.KernelProduct<float>(caller, caller.GPU, ProductMode.f_DotProduct_f);
}
if (operations.HasFlag(DistanceOperation.HammingDist))
{
m_reduceSumKernel = MyKernelFactory.Instance.KernelReduction<float>(caller, caller.GPU, ReductionMode.f_Sum_f);
}
if (operations.HasFlag(DistanceOperation.HammingSim))
{
m_reduceSumKernel = MyKernelFactory.Instance.KernelReduction<float>(caller, caller.GPU, ReductionMode.f_Sum_f);
}
if (operations.HasFlag(DistanceOperation.EuclidDist) || operations.HasFlag(DistanceOperation.EuclidDistSquared) ||
operations.HasFlag(DistanceOperation.HammingDist) || operations.HasFlag(DistanceOperation.HammingSim))
{
m_combineVecsKernel = MyKernelFactory.Instance.Kernel(m_caller.GPU, @"Common\CombineVectorsKernel", "CombineTwoVectorsKernel");
}
}
