302 lines
13 KiB
C++
302 lines
13 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#pragma once
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#ifndef OPENCV_CUDEV_GRID_SPLIT_MERGE_DETAIL_HPP
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#define OPENCV_CUDEV_GRID_SPLIT_MERGE_DETAIL_HPP
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#include "../../common.hpp"
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#include "../../util/saturate_cast.hpp"
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#include "../../util/tuple.hpp"
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#include "../../util/vec_traits.hpp"
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#include "../../ptr2d/glob.hpp"
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#include "../../ptr2d/traits.hpp"
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namespace cv { namespace cudev {
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namespace grid_split_merge_detail
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{
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// merge
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template <class Src1Ptr, class Src2Ptr, typename DstType, class MaskPtr>
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__global__ void mergeC2(const Src1Ptr src1, const Src2Ptr src2, GlobPtr<DstType> dst, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename VecTraits<DstType>::elem_type dst_elem_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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dst(y, x) = VecTraits<DstType>::make(
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saturate_cast<dst_elem_type>(src1(y, x)),
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saturate_cast<dst_elem_type>(src2(y, x))
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);
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}
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template <class Policy, class Src1Ptr, class Src2Ptr, typename DstType, class MaskPtr>
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__host__ void mergeC2(const Src1Ptr& src1, const Src2Ptr& src2, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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mergeC2<<<grid, block, 0, stream>>>(src1, src2, dst, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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template <class Src1Ptr, class Src2Ptr, class Src3Ptr, typename DstType, class MaskPtr>
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__global__ void mergeC3(const Src1Ptr src1, const Src2Ptr src2, const Src3Ptr src3, GlobPtr<DstType> dst, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename VecTraits<DstType>::elem_type dst_elem_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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dst(y, x) = VecTraits<DstType>::make(
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saturate_cast<dst_elem_type>(src1(y, x)),
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saturate_cast<dst_elem_type>(src2(y, x)),
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saturate_cast<dst_elem_type>(src3(y, x))
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);
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}
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template <class Policy, class Src1Ptr, class Src2Ptr, class Src3Ptr, typename DstType, class MaskPtr>
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__host__ void mergeC3(const Src1Ptr& src1, const Src2Ptr& src2, const Src3Ptr& src3, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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mergeC3<<<grid, block, 0, stream>>>(src1, src2, src3, dst, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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template <class Src1Ptr, class Src2Ptr, class Src3Ptr, class Src4Ptr, typename DstType, class MaskPtr>
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__global__ void mergeC4(const Src1Ptr src1, const Src2Ptr src2, const Src3Ptr src3, const Src4Ptr src4, GlobPtr<DstType> dst, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename VecTraits<DstType>::elem_type dst_elem_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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dst(y, x) = VecTraits<DstType>::make(
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saturate_cast<dst_elem_type>(src1(y, x)),
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saturate_cast<dst_elem_type>(src2(y, x)),
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saturate_cast<dst_elem_type>(src3(y, x)),
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saturate_cast<dst_elem_type>(src4(y, x))
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);
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}
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template <class Policy, class Src1Ptr, class Src2Ptr, class Src3Ptr, class Src4Ptr, typename DstType, class MaskPtr>
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__host__ void mergeC4(const Src1Ptr& src1, const Src2Ptr& src2, const Src3Ptr& src3, const Src4Ptr& src4, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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mergeC4<<<grid, block, 0, stream>>>(src1, src2, src3, src4, dst, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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template <int cn, class Policy> struct MergeImpl;
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template <class Policy> struct MergeImpl<2, Policy>
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{
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template <class SrcPtrTuple, typename DstType, class MaskPtr>
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__host__ static void mergeTuple(const SrcPtrTuple& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC2<Policy>(get<0>(src), get<1>(src), dst, mask, rows, cols, stream);
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}
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template <class SrcPtrArray, typename DstType, class MaskPtr>
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__host__ static void mergeArray(const SrcPtrArray& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC2<Policy>(src[0], src[1], dst, mask, rows, cols, stream);
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}
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};
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template <class Policy> struct MergeImpl<3, Policy>
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{
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template <class SrcPtrTuple, typename DstType, class MaskPtr>
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__host__ static void mergeTuple(const SrcPtrTuple& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC3<Policy>(get<0>(src), get<1>(src), get<2>(src), dst, mask, rows, cols, stream);
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}
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template <class SrcPtrArray, typename DstType, class MaskPtr>
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__host__ static void mergeArray(const SrcPtrArray& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC3<Policy>(src[0], src[1], src[2], dst, mask, rows, cols, stream);
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}
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};
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template <class Policy> struct MergeImpl<4, Policy>
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{
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template <class SrcPtrTuple, typename DstType, class MaskPtr>
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__host__ static void mergeTuple(const SrcPtrTuple& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC4<Policy>(get<0>(src), get<1>(src), get<2>(src), get<3>(src), dst, mask, rows, cols, stream);
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}
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template <class SrcPtrArray, typename DstType, class MaskPtr>
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__host__ static void mergeArray(const SrcPtrArray& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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mergeC4<Policy>(src[0], src[1], src[2], src[3], dst, mask, rows, cols, stream);
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}
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};
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// split
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template <class SrcPtr, typename DstType, class MaskPtr>
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__global__ void split(const SrcPtr src, GlobPtr<DstType> dst1, GlobPtr<DstType> dst2, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename PtrTraits<SrcPtr>::value_type src_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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const src_type src_value = src(y, x);
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dst1(y, x) = src_value.x;
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dst2(y, x) = src_value.y;
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}
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template <class Policy, class SrcPtr, typename DstType, class MaskPtr>
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__host__ void split(const SrcPtr& src, const GlobPtr<DstType>& dst1, const GlobPtr<DstType>& dst2, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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split<<<grid, block, 0, stream>>>(src, dst1, dst2, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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template <class SrcPtr, typename DstType, class MaskPtr>
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__global__ void split(const SrcPtr src, GlobPtr<DstType> dst1, GlobPtr<DstType> dst2, GlobPtr<DstType> dst3, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename PtrTraits<SrcPtr>::value_type src_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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const src_type src_value = src(y, x);
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dst1(y, x) = src_value.x;
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dst2(y, x) = src_value.y;
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dst3(y, x) = src_value.z;
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}
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template <class Policy, class SrcPtr, typename DstType, class MaskPtr>
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__host__ void split(const SrcPtr& src, const GlobPtr<DstType>& dst1, const GlobPtr<DstType>& dst2, const GlobPtr<DstType>& dst3, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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split<<<grid, block, 0, stream>>>(src, dst1, dst2, dst3, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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template <class SrcPtr, typename DstType, class MaskPtr>
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__global__ void split(const SrcPtr src, GlobPtr<DstType> dst1, GlobPtr<DstType> dst2, GlobPtr<DstType> dst3, GlobPtr<DstType> dst4, const MaskPtr mask, const int rows, const int cols)
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{
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typedef typename PtrTraits<SrcPtr>::value_type src_type;
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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const src_type src_value = src(y, x);
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dst1(y, x) = src_value.x;
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dst2(y, x) = src_value.y;
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dst3(y, x) = src_value.z;
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dst4(y, x) = src_value.w;
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}
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template <class Policy, class SrcPtr, typename DstType, class MaskPtr>
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__host__ void split(const SrcPtr& src, const GlobPtr<DstType>& dst1, const GlobPtr<DstType>& dst2, const GlobPtr<DstType>& dst3, const GlobPtr<DstType>& dst4, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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split<<<grid, block, 0, stream>>>(src, dst1, dst2, dst3, dst4, mask, rows, cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL(cudaDeviceSynchronize());
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}
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}
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}}
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#endif
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