opencv/modules/core/src/mean.simd.hpp

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html


#include "precomp.hpp"
#include "stat.hpp"

namespace cv {
typedef int (*SumSqrFunc)(const uchar*, const uchar* mask, uchar*, uchar*, int, int);

CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN

SumSqrFunc getSumSqrFunc(int depth);

#ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY

template <typename T, typename ST, typename SQT>
struct SumSqr_SIMD
{
    inline int operator () (const T *, const uchar *, ST *, SQT *, int, int) const
    {
        return 0;
    }
};

#if CV_SIMD

template <>
struct SumSqr_SIMD<uchar, int, int>
{
    int operator () (const uchar * src0, const uchar * mask, int * sum, int * sqsum, int len, int cn) const
    {
        if (mask || (cn != 1 && cn != 2 && cn != 4))
            return 0;
        len *= cn;

        int x = 0;
        v_int32 v_sum = vx_setzero_s32();
        v_int32 v_sqsum = vx_setzero_s32();

        const int len0 = len & -v_uint8::nlanes;
        while(x < len0)
        {
            const int len_tmp = min(x + 256*v_uint16::nlanes, len0);
            v_uint16 v_sum16 = vx_setzero_u16();
            for ( ; x < len_tmp; x += v_uint8::nlanes)
            {
                v_uint16 v_src0 = vx_load_expand(src0 + x);
                v_uint16 v_src1 = vx_load_expand(src0 + x + v_uint16::nlanes);
                v_sum16 += v_src0 + v_src1;
                v_int16 v_tmp0, v_tmp1;
                v_zip(v_reinterpret_as_s16(v_src0), v_reinterpret_as_s16(v_src1), v_tmp0, v_tmp1);
                v_sqsum += v_dotprod(v_tmp0, v_tmp0) + v_dotprod(v_tmp1, v_tmp1);
            }
            v_uint32 v_half0, v_half1;
            v_expand(v_sum16, v_half0, v_half1);
            v_sum += v_reinterpret_as_s32(v_half0 + v_half1);
        }
        if (x <= len - v_uint16::nlanes)
        {
            v_uint16 v_src = vx_load_expand(src0 + x);
            v_uint16 v_half = v_combine_high(v_src, v_src);

            v_uint32 v_tmp0, v_tmp1;
            v_expand(v_src + v_half, v_tmp0, v_tmp1);
            v_sum += v_reinterpret_as_s32(v_tmp0);

            v_int16 v_tmp2, v_tmp3;
            v_zip(v_reinterpret_as_s16(v_src), v_reinterpret_as_s16(v_half), v_tmp2, v_tmp3);
            v_sqsum += v_dotprod(v_tmp2, v_tmp2);
            x += v_uint16::nlanes;
        }

        if (cn == 1)
        {
            *sum += v_reduce_sum(v_sum);
            *sqsum += v_reduce_sum(v_sqsum);
        }
        else
        {
            int CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[2 * v_int32::nlanes];
            v_store(ar, v_sum);
            v_store(ar + v_int32::nlanes, v_sqsum);
            for (int i = 0; i < v_int32::nlanes; ++i)
            {
                sum[i % cn] += ar[i];
                sqsum[i % cn] += ar[v_int32::nlanes + i];
            }
        }
        v_cleanup();
        return x / cn;
    }
};

template <>
struct SumSqr_SIMD<schar, int, int>
{
    int operator () (const schar * src0, const uchar * mask, int * sum, int * sqsum, int len, int cn) const
    {
        if (mask || (cn != 1 && cn != 2 && cn != 4))
            return 0;
        len *= cn;

        int x = 0;
        v_int32 v_sum = vx_setzero_s32();
        v_int32 v_sqsum = vx_setzero_s32();

        const int len0 = len & -v_int8::nlanes;
        while (x < len0)
        {
            const int len_tmp = min(x + 256 * v_int16::nlanes, len0);
            v_int16 v_sum16 = vx_setzero_s16();
            for (; x < len_tmp; x += v_int8::nlanes)
            {
                v_int16 v_src0 = vx_load_expand(src0 + x);
                v_int16 v_src1 = vx_load_expand(src0 + x + v_int16::nlanes);
                v_sum16 += v_src0 + v_src1;
                v_int16 v_tmp0, v_tmp1;
                v_zip(v_src0, v_src1, v_tmp0, v_tmp1);
                v_sqsum += v_dotprod(v_tmp0, v_tmp0) + v_dotprod(v_tmp1, v_tmp1);
            }
            v_int32 v_half0, v_half1;
            v_expand(v_sum16, v_half0, v_half1);
            v_sum += v_half0 + v_half1;
        }
        if (x <= len - v_int16::nlanes)
        {
            v_int16 v_src = vx_load_expand(src0 + x);
            v_int16 v_half = v_combine_high(v_src, v_src);

            v_int32 v_tmp0, v_tmp1;
            v_expand(v_src + v_half, v_tmp0, v_tmp1);
            v_sum += v_tmp0;

            v_int16 v_tmp2, v_tmp3;
            v_zip(v_src, v_half, v_tmp2, v_tmp3);
            v_sqsum += v_dotprod(v_tmp2, v_tmp2);
            x += v_int16::nlanes;
        }

        if (cn == 1)
        {
            *sum += v_reduce_sum(v_sum);
            *sqsum += v_reduce_sum(v_sqsum);
        }
        else
        {
            int CV_DECL_ALIGNED(CV_SIMD_WIDTH) ar[2 * v_int32::nlanes];
            v_store(ar, v_sum);
            v_store(ar + v_int32::nlanes, v_sqsum);
            for (int i = 0; i < v_int32::nlanes; ++i)
            {
                sum[i % cn] += ar[i];
                sqsum[i % cn] += ar[v_int32::nlanes + i];
            }
        }
        v_cleanup();
        return x / cn;
    }
};

#endif

template<typename T, typename ST, typename SQT>
static int sumsqr_(const T* src0, const uchar* mask, ST* sum, SQT* sqsum, int len, int cn )
{
    const T* src = src0;

    if( !mask )
    {
        SumSqr_SIMD<T, ST, SQT> vop;
        int x = vop(src0, mask, sum, sqsum, len, cn), k = cn % 4;
        src = src0 + x * cn;

        if( k == 1 )
        {
            ST s0 = sum[0];
            SQT sq0 = sqsum[0];
            for(int i = x; i < len; i++, src += cn )
            {
                T v = src[0];
                s0 += v; sq0 += (SQT)v*v;
            }
            sum[0] = s0;
            sqsum[0] = sq0;
        }
        else if( k == 2 )
        {
            ST s0 = sum[0], s1 = sum[1];
            SQT sq0 = sqsum[0], sq1 = sqsum[1];
            for(int i = x; i < len; i++, src += cn )
            {
                T v0 = src[0], v1 = src[1];
                s0 += v0; sq0 += (SQT)v0*v0;
                s1 += v1; sq1 += (SQT)v1*v1;
            }
            sum[0] = s0; sum[1] = s1;
            sqsum[0] = sq0; sqsum[1] = sq1;
        }
        else if( k == 3 )
        {
            ST s0 = sum[0], s1 = sum[1], s2 = sum[2];
            SQT sq0 = sqsum[0], sq1 = sqsum[1], sq2 = sqsum[2];
            for(int i = x; i < len; i++, src += cn )
            {
                T v0 = src[0], v1 = src[1], v2 = src[2];
                s0 += v0; sq0 += (SQT)v0*v0;
                s1 += v1; sq1 += (SQT)v1*v1;
                s2 += v2; sq2 += (SQT)v2*v2;
            }
            sum[0] = s0; sum[1] = s1; sum[2] = s2;
            sqsum[0] = sq0; sqsum[1] = sq1; sqsum[2] = sq2;
        }

        for( ; k < cn; k += 4 )
        {
            src = src0 + x * cn + k;
            ST s0 = sum[k], s1 = sum[k+1], s2 = sum[k+2], s3 = sum[k+3];
            SQT sq0 = sqsum[k], sq1 = sqsum[k+1], sq2 = sqsum[k+2], sq3 = sqsum[k+3];
            for(int i = x; i < len; i++, src += cn )
            {
                T v0, v1;
                v0 = src[0], v1 = src[1];
                s0 += v0; sq0 += (SQT)v0*v0;
                s1 += v1; sq1 += (SQT)v1*v1;
                v0 = src[2], v1 = src[3];
                s2 += v0; sq2 += (SQT)v0*v0;
                s3 += v1; sq3 += (SQT)v1*v1;
            }
            sum[k] = s0; sum[k+1] = s1;
            sum[k+2] = s2; sum[k+3] = s3;
            sqsum[k] = sq0; sqsum[k+1] = sq1;
            sqsum[k+2] = sq2; sqsum[k+3] = sq3;
        }
        return len;
    }

    int i, nzm = 0;

    if( cn == 1 )
    {
        ST s0 = sum[0];
        SQT sq0 = sqsum[0];
        for( i = 0; i < len; i++ )
            if( mask[i] )
            {
                T v = src[i];
                s0 += v; sq0 += (SQT)v*v;
                nzm++;
            }
        sum[0] = s0;
        sqsum[0] = sq0;
    }
    else if( cn == 3 )
    {
        ST s0 = sum[0], s1 = sum[1], s2 = sum[2];
        SQT sq0 = sqsum[0], sq1 = sqsum[1], sq2 = sqsum[2];
        for( i = 0; i < len; i++, src += 3 )
            if( mask[i] )
            {
                T v0 = src[0], v1 = src[1], v2 = src[2];
                s0 += v0; sq0 += (SQT)v0*v0;
                s1 += v1; sq1 += (SQT)v1*v1;
                s2 += v2; sq2 += (SQT)v2*v2;
                nzm++;
            }
        sum[0] = s0; sum[1] = s1; sum[2] = s2;
        sqsum[0] = sq0; sqsum[1] = sq1; sqsum[2] = sq2;
    }
    else
    {
        for( i = 0; i < len; i++, src += cn )
            if( mask[i] )
            {
                for( int k = 0; k < cn; k++ )
                {
                    T v = src[k];
                    ST s = sum[k] + v;
                    SQT sq = sqsum[k] + (SQT)v*v;
                    sum[k] = s; sqsum[k] = sq;
                }
                nzm++;
            }
    }
    return nzm;
}


static int sqsum8u( const uchar* src, const uchar* mask, int* sum, int* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum8s( const schar* src, const uchar* mask, int* sum, int* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum16u( const ushort* src, const uchar* mask, int* sum, double* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum16s( const short* src, const uchar* mask, int* sum, double* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum32s( const int* src, const uchar* mask, double* sum, double* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum32f( const float* src, const uchar* mask, double* sum, double* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

static int sqsum64f( const double* src, const uchar* mask, double* sum, double* sqsum, int len, int cn )
{ CV_INSTRUMENT_REGION(); return sumsqr_(src, mask, sum, sqsum, len, cn); }

SumSqrFunc getSumSqrFunc(int depth)
{
    CV_INSTRUMENT_REGION();
    static SumSqrFunc sumSqrTab[] =
    {
        (SumSqrFunc)GET_OPTIMIZED(sqsum8u), (SumSqrFunc)sqsum8s, (SumSqrFunc)sqsum16u, (SumSqrFunc)sqsum16s,
        (SumSqrFunc)sqsum32s, (SumSqrFunc)GET_OPTIMIZED(sqsum32f), (SumSqrFunc)sqsum64f, 0
    };

    return sumSqrTab[depth];
}

#endif
CV_CPU_OPTIMIZATION_NAMESPACE_END
} // namespace