cotton_double/opencv410-vs22/include/opencv2/cudev/block/vec_distance.hpp

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#pragma once

#ifndef OPENCV_CUDEV_BLOCK_VEC_DISTANCE_HPP
#define OPENCV_CUDEV_BLOCK_VEC_DISTANCE_HPP

#include "../common.hpp"
#include "../functional/functional.hpp"
#include "../warp/reduce.hpp"
#include "reduce.hpp"

namespace cv { namespace cudev {

//! @addtogroup cudev
//! @{

// NormL1

template <typename T> struct NormL1
{
    typedef int value_type;
    typedef uint result_type;

    result_type mySum;

    __device__ __forceinline__ NormL1() : mySum(0) {}

    __device__ __forceinline__ void reduceThread(value_type val1, value_type val2)
    {
        mySum = __sad(val1, val2, mySum);
    }

    __device__ __forceinline__ void reduceWarp(result_type* smem, uint tid)
    {
        warpReduce(smem, mySum, tid, plus<result_type>());
    }

    template <int THREAD_DIM> __device__ __forceinline__ void reduceBlock(result_type* smem, uint tid)
    {
        blockReduce<THREAD_DIM>(smem, mySum, tid, plus<result_type>());
    }

    __device__ __forceinline__ operator result_type() const
    {
        return mySum;
    }
};
template <> struct NormL1<float>
{
    typedef float value_type;
    typedef float result_type;

    result_type mySum;

    __device__ __forceinline__ NormL1() : mySum(0.0f) {}

    __device__ __forceinline__ void reduceThread(value_type val1, value_type val2)
    {
        mySum += ::fabsf(val1 - val2);
    }

    __device__ __forceinline__ void reduceWarp(result_type* smem, uint tid)
    {
        warpReduce(smem, mySum, tid, plus<result_type>());
    }

    template <int THREAD_DIM> __device__ __forceinline__ void reduceBlock(result_type* smem, uint tid)
    {
        blockReduce<THREAD_DIM>(smem, mySum, tid, plus<result_type>());
    }

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

// NormL2

struct NormL2
{
    typedef float value_type;
    typedef float result_type;

    result_type mySum;

    __device__ __forceinline__ NormL2() : mySum(0.0f) {}

    __device__ __forceinline__ void reduceThread(value_type val1, value_type val2)
    {
        const float diff = val1 - val2;
        mySum += diff * diff;
    }

    __device__ __forceinline__ void reduceWarp(result_type* smem, uint tid)
    {
        warpReduce(smem, mySum, tid, plus<result_type>());
    }

    template <int THREAD_DIM> __device__ __forceinline__ void reduceBlock(result_type* smem, uint tid)
    {
        blockReduce<THREAD_DIM>(smem, mySum, tid, plus<result_type>());
    }

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

// NormHamming

struct NormHamming
{
    typedef int value_type;
    typedef int result_type;

    result_type mySum;

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

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

    __device__ __forceinline__ void reduceWarp(result_type* smem, uint tid)
    {
        warpReduce(smem, mySum, tid, plus<result_type>());
    }

    template <int THREAD_DIM> __device__ __forceinline__ void reduceBlock(result_type* smem, uint tid)
    {
        blockReduce<THREAD_DIM>(smem, mySum, tid, plus<result_type>());
    }

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

//! @}

}}

#endif