root/modules/core/include/opencv2/core/cuda/vec_distance.hpp

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INCLUDED FROM


DEFINITIONS

This source file includes following definitions.
  1. reduceIter
  2. reduceAll
  3. reduceIter
  4. reduceAll
  5. reduceIter
  6. reduceAll
  7. reduceIter
  8. reduceAll
  9. calcVecDiffGlobal
  10. calcVecDiffCached
  11. calc
  12. calc

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#ifndef __OPENCV_CUDA_VEC_DISTANCE_HPP__
#define __OPENCV_CUDA_VEC_DISTANCE_HPP__

#include "reduce.hpp"
#include "functional.hpp"
#include "detail/vec_distance_detail.hpp"

/** @file
 * @deprecated Use @ref cudev instead.
 */

//! @cond IGNORED

namespace cv { namespace cuda { namespace device
{
    template <typename T> struct L1Dist
    {
        typedef int value_type;
        typedef int result_type;

        __device__ __forceinline__ L1Dist() : mySum(0) {}

        __device__ __forceinline__ void reduceIter(int val1, int val2)
        {
            mySum = __sad(val1, val2, mySum);
        }

        template <int THREAD_DIM> __device__ __forceinline__ void reduceAll(int* smem, int tid)
        {
            reduce<THREAD_DIM>(smem, mySum, tid, plus<int>());
        }

        __device__ __forceinline__ operator int() const
        {
            return mySum;
        }

        int mySum;
    };
    template <> struct L1Dist<float>
    {
        typedef float value_type;
        typedef float result_type;

        __device__ __forceinline__ L1Dist() : mySum(0.0f) {}

        __device__ __forceinline__ void reduceIter(float val1, float val2)
        {
            mySum += ::fabs(val1 - val2);
        }

        template <int THREAD_DIM> __device__ __forceinline__ void reduceAll(float* smem, int tid)
        {
            reduce<THREAD_DIM>(smem, mySum, tid, plus<float>());
        }

        __device__ __forceinline__ operator float() const
        {
            return mySum;
        }

        float mySum;
    };

    struct L2Dist
    {
        typedef float value_type;
        typedef float result_type;

        __device__ __forceinline__ L2Dist() : mySum(0.0f) {}

        __device__ __forceinline__ void reduceIter(float val1, float val2)
        {
            float reg = val1 - val2;
            mySum += reg * reg;
        }

        template <int THREAD_DIM> __device__ __forceinline__ void reduceAll(float* smem, int tid)
        {
            reduce<THREAD_DIM>(smem, mySum, tid, plus<float>());
        }

        __device__ __forceinline__ operator float() const
        {
            return sqrtf(mySum);
        }

        float mySum;
    };

    struct HammingDist
    {
        typedef int value_type;
        typedef int result_type;

        __device__ __forceinline__ HammingDist() : mySum(0) {}

        __device__ __forceinline__ void reduceIter(int val1, int val2)
        {
            mySum += __popc(val1 ^ val2);
        }

        template <int THREAD_DIM> __device__ __forceinline__ void reduceAll(int* smem, int tid)
        {
            reduce<THREAD_DIM>(smem, mySum, tid, plus<int>());
        }

        __device__ __forceinline__ operator int() const
        {
            return mySum;
        }

        int mySum;
    };

    // calc distance between two vectors in global memory
    template <int THREAD_DIM, typename Dist, typename T1, typename T2>
    __device__ void calcVecDiffGlobal(const T1* vec1, const T2* vec2, int len, Dist& dist, typename Dist::result_type* smem, int tid)
    {
        for (int i = tid; i < len; i += THREAD_DIM)
        {
            T1 val1;
            ForceGlob<T1>::Load(vec1, i, val1);

            T2 val2;
            ForceGlob<T2>::Load(vec2, i, val2);

            dist.reduceIter(val1, val2);
        }

        dist.reduceAll<THREAD_DIM>(smem, tid);
    }

    // calc distance between two vectors, first vector is cached in register or shared memory, second vector is in global memory
    template <int THREAD_DIM, int MAX_LEN, bool LEN_EQ_MAX_LEN, typename Dist, typename T1, typename T2>
    __device__ __forceinline__ void calcVecDiffCached(const T1* vecCached, const T2* vecGlob, int len, Dist& dist, typename Dist::result_type* smem, int tid)
    {
        vec_distance_detail::VecDiffCachedCalculator<THREAD_DIM, MAX_LEN, LEN_EQ_MAX_LEN>::calc(vecCached, vecGlob, len, dist, tid);

        dist.reduceAll<THREAD_DIM>(smem, tid);
    }

    // calc distance between two vectors in global memory
    template <int THREAD_DIM, typename T1> struct VecDiffGlobal
    {
        explicit __device__ __forceinline__ VecDiffGlobal(const T1* vec1_, int = 0, void* = 0, int = 0, int = 0)
        {
            vec1 = vec1_;
        }

        template <typename T2, typename Dist>
        __device__ __forceinline__ void calc(const T2* vec2, int len, Dist& dist, typename Dist::result_type* smem, int tid) const
        {
            calcVecDiffGlobal<THREAD_DIM>(vec1, vec2, len, dist, smem, tid);
        }

        const T1* vec1;
    };

    // calc distance between two vectors, first vector is cached in register memory, second vector is in global memory
    template <int THREAD_DIM, int MAX_LEN, bool LEN_EQ_MAX_LEN, typename U> struct VecDiffCachedRegister
    {
        template <typename T1> __device__ __forceinline__ VecDiffCachedRegister(const T1* vec1, int len, U* smem, int glob_tid, int tid)
        {
            if (glob_tid < len)
                smem[glob_tid] = vec1[glob_tid];
            __syncthreads();

            U* vec1ValsPtr = vec1Vals;

            #pragma unroll
            for (int i = tid; i < MAX_LEN; i += THREAD_DIM)
                *vec1ValsPtr++ = smem[i];

            __syncthreads();
        }

        template <typename T2, typename Dist>
        __device__ __forceinline__ void calc(const T2* vec2, int len, Dist& dist, typename Dist::result_type* smem, int tid) const
        {
            calcVecDiffCached<THREAD_DIM, MAX_LEN, LEN_EQ_MAX_LEN>(vec1Vals, vec2, len, dist, smem, tid);
        }

        U vec1Vals[MAX_LEN / THREAD_DIM];
    };
}}} // namespace cv { namespace cuda { namespace cudev

//! @endcond

#endif // __OPENCV_CUDA_VEC_DISTANCE_HPP__

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