169 lines
8.9 KiB
C++
169 lines
8.9 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_BLOCK_REDUCE_HPP
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#define OPENCV_CUDEV_BLOCK_REDUCE_HPP
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#include "../common.hpp"
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#include "../util/tuple.hpp"
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#include "../warp/reduce.hpp"
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#include "detail/reduce.hpp"
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#include "detail/reduce_key_val.hpp"
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#include <cuda_runtime_api.h>
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namespace cv { namespace cudev {
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//! @addtogroup cudev
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//! @{
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// blockReduce
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template <int N, typename T, class Op>
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__device__ __forceinline__ void blockReduce(volatile T* smem, T& val, uint tid, const Op& op)
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{
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block_reduce_detail::Dispatcher<N>::reductor::template reduce<volatile T*, T&, const Op&>(smem, val, tid, op);
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}
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#if (CUDART_VERSION < 12040)
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template <int N,
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typename P0, typename P1, typename P2, typename P3, typename P4, typename P5, typename P6, typename P7, typename P8, typename P9,
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typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9,
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class Op0, class Op1, class Op2, class Op3, class Op4, class Op5, class Op6, class Op7, class Op8, class Op9>
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__device__ __forceinline__ void blockReduce(const tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>& smem,
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const tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
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uint tid,
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const tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>& op)
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{
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block_reduce_detail::Dispatcher<N>::reductor::template reduce<
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const tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>&,
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const tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>&,
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const tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>&>(smem, val, tid, op);
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}
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// blockReduceKeyVal
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template <int N, typename K, typename V, class Cmp>
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__device__ __forceinline__ void blockReduceKeyVal(volatile K* skeys, K& key, volatile V* svals, V& val, uint tid, const Cmp& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&, volatile V*, V&, const Cmp&>(skeys, key, svals, val, tid, cmp);
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}
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template <int N,
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typename K,
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typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp>
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__device__ __forceinline__ void blockReduceKeyVal(volatile K* skeys, K& key,
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const tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
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const tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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uint tid, const Cmp& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&,
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const tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>&,
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const tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>&,
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const Cmp&>(skeys, key, svals, val, tid, cmp);
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}
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template <int N,
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typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
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typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
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typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
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__device__ __forceinline__ void blockReduceKeyVal(const tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
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const tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
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const tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
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const tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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uint tid,
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const tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<
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const tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>&,
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const tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>&,
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const tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>&,
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const tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>&,
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const tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>&
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>(skeys, key, svals, val, tid, cmp);
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}
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#else
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template <int N, typename... P, typename... R, typename... Op>
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__device__ __forceinline__ void blockReduce(const tuple<P...>& smem,
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const tuple<R...>& val,
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uint tid,
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const tuple<Op...>& op)
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{
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block_reduce_detail::Dispatcher<N>::reductor::template reduce<const tuple<P...>&, const tuple<R...>&, const tuple<Op...>&>(smem, val, tid, op);
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}
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// blockReduceKeyVal
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template <int N, typename K, typename V, class Cmp>
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__device__ __forceinline__ void blockReduceKeyVal(volatile K* skeys, K& key, volatile V* svals, V& val, uint tid, const Cmp& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&, volatile V*, V&, const Cmp&>(skeys, key, svals, val, tid, cmp);
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}
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template <int N, typename K, typename... VP, typename... VR, class Cmp>
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__device__ __forceinline__ void blockReduceKeyVal(volatile K* skeys, K& key, const tuple<VP...>& svals, const tuple<VR...>& val, uint tid, const Cmp& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&, const tuple<VP...>&, const tuple<VR...>&, const Cmp&>(skeys, key, svals, val, tid, cmp);
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}
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template <int N, typename... KP, typename... KR, typename... VP, typename... VR, class... Cmp>
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__device__ __forceinline__ void blockReduceKeyVal(const tuple<KP...>& skeys, const tuple<KR...>& key, const tuple<VP...>& svals, const tuple<VR...>& val, uint tid, const tuple<Cmp...>& cmp)
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{
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block_reduce_key_val_detail::Dispatcher<N>::reductor::template reduce< const tuple<KP...>&, const tuple<KR...>&, const tuple<VP...>&, const tuple<VR...>&, const tuple<Cmp...>&>(skeys, key, svals, val, tid, cmp);
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}
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#endif
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//! @}
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}}
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#endif
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