mirror of
https://github.com/NVIDIA/cuda-samples.git
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225 lines
6.9 KiB
Plaintext
225 lines
6.9 KiB
Plaintext
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* Various kernels and functors used throughout the algorithm. For details
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* on usage see "SegmentationTreeBuilder::invokeStep()".
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*/
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#ifndef _KERNELS_H_
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#define _KERNELS_H_
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#include <stdio.h>
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#include <thrust/functional.h>
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#include "common.cuh"
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// Functors used with thrust library.
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template <typename Input>
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struct IsGreaterEqualThan : public thrust::unary_function<Input, bool>
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{
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__host__ __device__ IsGreaterEqualThan(uint upperBound) :
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upperBound_(upperBound) {}
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__host__ __device__ bool operator()(const Input &value) const
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{
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return value >= upperBound_;
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}
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uint upperBound_;
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};
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// CUDA kernels.
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__global__ void addScalar(uint *array, int scalar, uint size)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < size)
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{
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array[tid] += scalar;
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}
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}
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__global__ void markSegments(const uint *verticesOffsets,
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uint *flags,
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uint verticesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < verticesCount)
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{
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flags[verticesOffsets[tid]] = 1;
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}
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}
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__global__ void getVerticesMapping(const uint *clusteredVerticesIDs,
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const uint *newVerticesIDs,
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uint *verticesMapping,
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uint verticesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < verticesCount)
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{
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uint vertexID = clusteredVerticesIDs[tid];
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verticesMapping[vertexID] = newVerticesIDs[tid];
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}
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}
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__global__ void getSuccessors(const uint *verticesOffsets,
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const uint *minScannedEdges,
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uint *successors,
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uint verticesCount,
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uint edgesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < verticesCount)
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{
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uint successorPos = (tid < verticesCount - 1) ?
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(verticesOffsets[tid + 1] - 1) :
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(edgesCount - 1);
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successors[tid] = minScannedEdges[successorPos];
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}
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}
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__global__ void removeCycles(uint *successors,
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uint verticesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < verticesCount)
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{
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uint successor = successors[tid];
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uint nextSuccessor = successors[successor];
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if (tid == nextSuccessor)
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{
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if (tid < successor)
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{
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successors[tid] = tid;
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}
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else
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{
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successors[successor] = successor;
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}
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}
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}
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}
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__global__ void getRepresentatives(const uint *successors,
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uint *representatives,
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uint verticesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < verticesCount)
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{
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uint successor = successors[tid];
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uint nextSuccessor = successors[successor];
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while (successor != nextSuccessor)
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{
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successor = nextSuccessor;
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nextSuccessor = successors[nextSuccessor];
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}
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representatives[tid] = successor;
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}
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}
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__global__ void invalidateLoops(const uint *startpoints,
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const uint *verticesMapping,
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uint *edges,
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uint edgesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < edgesCount)
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{
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uint startpoint = startpoints[tid];
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uint &endpoint = edges[tid];
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uint newStartpoint = verticesMapping[startpoint];
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uint newEndpoint = verticesMapping[endpoint];
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if (newStartpoint == newEndpoint)
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{
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endpoint = UINT_MAX;
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}
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}
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}
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__global__ void calculateEdgesInfo(const uint *startpoints,
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const uint *verticesMapping,
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const uint *edges,
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const float *weights,
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uint *newStartpoints,
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uint *survivedEdgesIDs,
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uint edgesCount,
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uint newVerticesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < edgesCount)
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{
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uint startpoint = startpoints[tid];
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uint endpoint = edges[tid];
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newStartpoints[tid] = endpoint < UINT_MAX ?
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verticesMapping[startpoint] :
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newVerticesCount + verticesMapping[startpoint];
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survivedEdgesIDs[tid] = endpoint < UINT_MAX ?
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tid :
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UINT_MAX;
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}
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}
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__global__ void makeNewEdges(const uint *survivedEdgesIDs,
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const uint *verticesMapping,
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const uint *edges,
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const float *weights,
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uint *newEdges,
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float *newWeights,
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uint edgesCount)
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{
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uint tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid < edgesCount)
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{
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uint edgeID = survivedEdgesIDs[tid];
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uint oldEdge = edges[edgeID];
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newEdges[tid] = verticesMapping[oldEdge];
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newWeights[tid] = weights[edgeID];
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}
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}
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#endif // #ifndef _KERNELS_H_
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