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/usr/include/opencv2/gpu/device/detail/reduce_key_val.hpp is in libopencv-gpu-dev 2.4.9.1+dfsg-1.5ubuntu1.

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other materials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#ifndef __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__
#define __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__

#include <thrust/tuple.h>
#include "../warp.hpp"
#include "../warp_shuffle.hpp"

namespace cv { namespace gpu { namespace device
{
    namespace reduce_key_val_detail
    {
        template <typename T> struct GetType;
        template <typename T> struct GetType<T*>
        {
            typedef T type;
        };
        template <typename T> struct GetType<volatile T*>
        {
            typedef T type;
        };
        template <typename T> struct GetType<T&>
        {
            typedef T type;
        };

        template <unsigned int I, unsigned int N>
        struct For
        {
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void loadToSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
            {
                thrust::get<I>(smem)[tid] = thrust::get<I>(data);

                For<I + 1, N>::loadToSmem(smem, data, tid);
            }
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void loadFromSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
            {
                thrust::get<I>(data) = thrust::get<I>(smem)[tid];

                For<I + 1, N>::loadFromSmem(smem, data, tid);
            }

            template <class ReferenceTuple>
            static __device__ void copyShfl(const ReferenceTuple& val, unsigned int delta, int width)
            {
                thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);

                For<I + 1, N>::copyShfl(val, delta, width);
            }
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void copy(const PointerTuple& svals, const ReferenceTuple& val, unsigned int tid, unsigned int delta)
            {
                thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];

                For<I + 1, N>::copy(svals, val, tid, delta);
            }

            template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
            static __device__ void mergeShfl(const KeyReferenceTuple& key, const ValReferenceTuple& val, const CmpTuple& cmp, unsigned int delta, int width)
            {
                typename GetType<typename thrust::tuple_element<I, KeyReferenceTuple>::type>::type reg = shfl_down(thrust::get<I>(key), delta, width);

                if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
                {
                    thrust::get<I>(key) = reg;
                    thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
                }

                For<I + 1, N>::mergeShfl(key, val, cmp, delta, width);
            }
            template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
            static __device__ void merge(const KeyPointerTuple& skeys, const KeyReferenceTuple& key,
                                         const ValPointerTuple& svals, const ValReferenceTuple& val,
                                         const CmpTuple& cmp,
                                         unsigned int tid, unsigned int delta)
            {
                typename GetType<typename thrust::tuple_element<I, KeyPointerTuple>::type>::type reg = thrust::get<I>(skeys)[tid + delta];

                if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
                {
                    thrust::get<I>(skeys)[tid] = thrust::get<I>(key) = reg;
                    thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
                }

                For<I + 1, N>::merge(skeys, key, svals, val, cmp, tid, delta);
            }
        };
        template <unsigned int N>
        struct For<N, N>
        {
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void loadToSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
            {
            }
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void loadFromSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
            {
            }

            template <class ReferenceTuple>
            static __device__ void copyShfl(const ReferenceTuple&, unsigned int, int)
            {
            }
            template <class PointerTuple, class ReferenceTuple>
            static __device__ void copy(const PointerTuple&, const ReferenceTuple&, unsigned int, unsigned int)
            {
            }

            template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
            static __device__ void mergeShfl(const KeyReferenceTuple&, const ValReferenceTuple&, const CmpTuple&, unsigned int, int)
            {
            }
            template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
            static __device__ void merge(const KeyPointerTuple&, const KeyReferenceTuple&,
                                         const ValPointerTuple&, const ValReferenceTuple&,
                                         const CmpTuple&,
                                         unsigned int, unsigned int)
            {
            }
        };

        //////////////////////////////////////////////////////
        // loadToSmem

        template <typename T>
        __device__ __forceinline__ void loadToSmem(volatile T* smem, T& data, unsigned int tid)
        {
            smem[tid] = data;
        }
        template <typename T>
        __device__ __forceinline__ void loadFromSmem(volatile T* smem, T& data, unsigned int tid)
        {
            data = smem[tid];
        }
        template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
        __device__ __forceinline__ void loadToSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
                                                   const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
                                                   unsigned int tid)
        {
            For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadToSmem(smem, data, tid);
        }
        template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
        __device__ __forceinline__ void loadFromSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
                                                     const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
                                                     unsigned int tid)
        {
            For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadFromSmem(smem, data, tid);
        }

        //////////////////////////////////////////////////////
        // copyVals

        template <typename V>
        __device__ __forceinline__ void copyValsShfl(V& val, unsigned int delta, int width)
        {
            val = shfl_down(val, delta, width);
        }
        template <typename V>
        __device__ __forceinline__ void copyVals(volatile V* svals, V& val, unsigned int tid, unsigned int delta)
        {
            svals[tid] = val = svals[tid + delta];
        }
        template <typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
        __device__ __forceinline__ void copyValsShfl(const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                                     unsigned int delta,
                                                     int width)
        {
            For<0, thrust::tuple_size<thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9> >::value>::copyShfl(val, delta, width);
        }
        template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
        __device__ __forceinline__ void copyVals(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
                                                 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                                 unsigned int tid, unsigned int delta)
        {
            For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::copy(svals, val, tid, delta);
        }

        //////////////////////////////////////////////////////
        // merge

        template <typename K, typename V, class Cmp>
        __device__ __forceinline__ void mergeShfl(K& key, V& val, const Cmp& cmp, unsigned int delta, int width)
        {
            K reg = shfl_down(key, delta, width);

            if (cmp(reg, key))
            {
                key = reg;
                copyValsShfl(val, delta, width);
            }
        }
        template <typename K, typename V, class Cmp>
        __device__ __forceinline__ void merge(volatile K* skeys, K& key, volatile V* svals, V& val, const Cmp& cmp, unsigned int tid, unsigned int delta)
        {
            K reg = skeys[tid + delta];

            if (cmp(reg, key))
            {
                skeys[tid] = key = reg;
                copyVals(svals, val, tid, delta);
            }
        }
        template <typename K,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
                  class Cmp>
        __device__ __forceinline__ void mergeShfl(K& key,
                                                  const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                                  const Cmp& cmp,
                                                  unsigned int delta, int width)
        {
            K reg = shfl_down(key, delta, width);

            if (cmp(reg, key))
            {
                key = reg;
                copyValsShfl(val, delta, width);
            }
        }
        template <typename K,
                  typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
                  class Cmp>
        __device__ __forceinline__ void merge(volatile K* skeys, K& key,
                                              const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
                                              const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                              const Cmp& cmp, unsigned int tid, unsigned int delta)
        {
            K reg = skeys[tid + delta];

            if (cmp(reg, key))
            {
                skeys[tid] = key = reg;
                copyVals(svals, val, tid, delta);
            }
        }
        template <typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
                  class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
        __device__ __forceinline__ void mergeShfl(const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
                                                  const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                                  const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
                                                  unsigned int delta, int width)
        {
            For<0, thrust::tuple_size<thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9> >::value>::mergeShfl(key, val, cmp, delta, width);
        }
        template <typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
                  typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
                  typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
                  typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
                  class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
        __device__ __forceinline__ void merge(const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
                                              const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
                                              const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
                                              const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
                                              const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
                                              unsigned int tid, unsigned int delta)
        {
            For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::merge(skeys, key, svals, val, cmp, tid, delta);
        }

        //////////////////////////////////////////////////////
        // Generic

        template <unsigned int N> struct Generic
        {
            template <class KP, class KR, class VP, class VR, class Cmp>
            static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
            {
                loadToSmem(skeys, key, tid);
                loadValsToSmem(svals, val, tid);
                if (N >= 32)
                    __syncthreads();

                if (N >= 2048)
                {
                    if (tid < 1024)
                        merge(skeys, key, svals, val, cmp, tid, 1024);

                    __syncthreads();
                }
                if (N >= 1024)
                {
                    if (tid < 512)
                        merge(skeys, key, svals, val, cmp, tid, 512);

                    __syncthreads();
                }
                if (N >= 512)
                {
                    if (tid < 256)
                        merge(skeys, key, svals, val, cmp, tid, 256);

                    __syncthreads();
                }
                if (N >= 256)
                {
                    if (tid < 128)
                        merge(skeys, key, svals, val, cmp, tid, 128);

                    __syncthreads();
                }
                if (N >= 128)
                {
                    if (tid < 64)
                        merge(skeys, key, svals, val, cmp, tid, 64);

                    __syncthreads();
                }
                if (N >= 64)
                {
                    if (tid < 32)
                        merge(skeys, key, svals, val, cmp, tid, 32);
                }

                if (tid < 16)
                {
                    merge(skeys, key, svals, val, cmp, tid, 16);
                    merge(skeys, key, svals, val, cmp, tid, 8);
                    merge(skeys, key, svals, val, cmp, tid, 4);
                    merge(skeys, key, svals, val, cmp, tid, 2);
                    merge(skeys, key, svals, val, cmp, tid, 1);
                }
            }
        };

        template <unsigned int I, class KP, class KR, class VP, class VR, class Cmp>
        struct Unroll
        {
            static __device__ void loopShfl(KR key, VR val, Cmp cmp, unsigned int N)
            {
                mergeShfl(key, val, cmp, I, N);
                Unroll<I / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
            }
            static __device__ void loop(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
            {
                merge(skeys, key, svals, val, cmp, tid, I);
                Unroll<I / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
            }
        };
        template <class KP, class KR, class VP, class VR, class Cmp>
        struct Unroll<0, KP, KR, VP, VR, Cmp>
        {
            static __device__ void loopShfl(KR, VR, Cmp, unsigned int)
            {
            }
            static __device__ void loop(KP, KR, VP, VR, unsigned int, Cmp)
            {
            }
        };

        template <unsigned int N> struct WarpOptimized
        {
            template <class KP, class KR, class VP, class VR, class Cmp>
            static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
            {
            #if 0 // __CUDA_ARCH__ >= 300
                (void) skeys;
                (void) svals;
                (void) tid;

                Unroll<N / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
            #else
                loadToSmem(skeys, key, tid);
                loadToSmem(svals, val, tid);

                if (tid < N / 2)
                    Unroll<N / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
            #endif
            }
        };

        template <unsigned int N> struct GenericOptimized32
        {
            enum { M = N / 32 };

            template <class KP, class KR, class VP, class VR, class Cmp>
            static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
            {
                const unsigned int laneId = Warp::laneId();

            #if 0 // __CUDA_ARCH__ >= 300
                Unroll<16, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, warpSize);

                if (laneId == 0)
                {
                    loadToSmem(skeys, key, tid / 32);
                    loadToSmem(svals, val, tid / 32);
                }
            #else
                loadToSmem(skeys, key, tid);
                loadToSmem(svals, val, tid);

                if (laneId < 16)
                    Unroll<16, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);

                __syncthreads();

                if (laneId == 0)
                {
                    loadToSmem(skeys, key, tid / 32);
                    loadToSmem(svals, val, tid / 32);
                }
            #endif

                __syncthreads();

                loadFromSmem(skeys, key, tid);

                if (tid < 32)
                {
                #if 0 // __CUDA_ARCH__ >= 300
                    loadFromSmem(svals, val, tid);

                    Unroll<M / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, M);
                #else
                    Unroll<M / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
                #endif
                }
            }
        };

        template <bool val, class T1, class T2> struct StaticIf;
        template <class T1, class T2> struct StaticIf<true, T1, T2>
        {
            typedef T1 type;
        };
        template <class T1, class T2> struct StaticIf<false, T1, T2>
        {
            typedef T2 type;
        };

        template <unsigned int N> struct IsPowerOf2
        {
            enum { value = ((N != 0) && !(N & (N - 1))) };
        };

        template <unsigned int N> struct Dispatcher
        {
            typedef typename StaticIf<
                (N <= 32) && IsPowerOf2<N>::value,
                WarpOptimized<N>,
                typename StaticIf<
                    (N <= 1024) && IsPowerOf2<N>::value,
                    GenericOptimized32<N>,
                    Generic<N>
                >::type
            >::type reductor;
        };
    }
}}}

#endif // __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__