// 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 "opencv2/core/hal/intrin.hpp"

namespace cv {
namespace dnn {
CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN

void fastConv( const int8_t* weights, size_t wstep, const int* bias,
               const int8_t* rowbuf, int* output, const int* outShape,
               int blockSize, int vecsize, int vecsize_aligned, int outZp,
               const float* multiplier, bool initOutput, bool finalOutput );
void fastDepthwiseConv( const int8_t* wptr,
                        int kernel_h, int kernel_w,
                        int stride_h, int stride_w,
                        int dilation_h, int dilation_w,
                        int pad_t, int pad_l,
                        const int* biasptr, const float* multptr,
                        const int8_t* inptr_,
                        int height, int width,
                        int* outptr_,
                        int out_d, int outH, int outW,
                        int inpZp, int outZp );
void fastGEMM1T( const int8_t* vec, const int8_t* weights,
                 size_t wstep, const int* bias, const float* multiplier,
                 int* dst, int nvecs, int vecsize, int outZp );

#if !defined(CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY) && CV_AVX2
#define OPENCV_FMADD_EPI8(_Tpvec, func) \
    inline _Tpvec _##func##_fmaddepi8_epi32(const _Tpvec& a, const _Tpvec& b, const _Tpvec& c) \
    { \
        _Tpvec even_a = _##func##_srai_epi16(_##func##_bslli_epi128(a, 1), 8); \
        _Tpvec odd_a  = _##func##_srai_epi16(a, 8);                            \
                                                                               \
        _Tpvec even_b = _##func##_srai_epi16(_##func##_bslli_epi128(b, 1), 8); \
        _Tpvec odd_b  = _##func##_srai_epi16(b, 8);                            \
                                                                               \
        _Tpvec prod0  = _##func##_madd_epi16(even_a, even_b);                  \
        _Tpvec prod1  = _##func##_madd_epi16(odd_a, odd_b);                    \
        return _##func##_add_epi32(_##func##_add_epi32(prod0, prod1), c);      \
    }
OPENCV_FMADD_EPI8(__m256i, mm256)
//OPENCV_FMADD_EPI8(__m512i, mm512)

enum { FASCONV_BASE_VECSZ = 4 };

void fastConv( const int8_t* weights, size_t wstep, const int* bias,
               const int8_t* rowbuf, int* output, const int* outShape,
               int blockSize, int vecsize, int vecsize_aligned, int outZp,
               const float* multiplier, bool initOutput, bool finalOutput )
{
    int outCn = outShape[1];
    size_t outPlaneSize = outShape[2]*outShape[3];
    int CV_DECL_ALIGNED(16) maskbuf[FASCONV_BASE_VECSZ] = {0};
    int rsz = blockSize % FASCONV_BASE_VECSZ;
    for( int i = 0; i < rsz; i++ )
        maskbuf[FASCONV_BASE_VECSZ - i - 1] = -1;
    __m128 mask = _mm_loadu_ps((const float*)maskbuf);

    // now compute dot product of the weights
    // and im2row-transformed part of the tensor
    for( int i = 0; i < outCn; i += 3 )
    {
        const int8_t* wptr0 = weights + i*wstep;
        const int8_t* wptr1 = wptr0 + wstep;
        const int8_t* wptr2 = wptr1 + wstep;
        int* outptr0 = output + i*outPlaneSize;
        int* outptr1 = outptr0 + outPlaneSize;
        int* outptr2 = outptr1 + outPlaneSize;
        int bias0 = bias[i], bias1 = bias[i+1], bias2 = bias[i+2];
        float mult0 = multiplier[i], mult1 = multiplier[i+1], mult2 = multiplier[i+2];

        if( i+2 >= outCn )
        {
            wptr2 = wptr1;
            outptr2 = outptr1;
            bias2 = bias1;
            mult2 = mult1;

            if( i+1 >= outCn )
            {
                wptr2 = wptr1 = wptr0;
                outptr2 = outptr1 = outptr0;
                bias2 = bias1 = bias0;
                mult2 = mult1 = mult0;
            }
        }
        int j = 0;
        for( ; j < blockSize; j += FASCONV_BASE_VECSZ )
        {
            bool tail = false;
            if (j + FASCONV_BASE_VECSZ > blockSize)
            {
                if (j == 0)
                    break;
                j = blockSize - FASCONV_BASE_VECSZ;
                tail = true;
            }
            int k = 0;
            const int8_t* rptr = rowbuf + j*vecsize_aligned;

            __m256i vs00 = _mm256_setzero_si256(), vs01 = _mm256_setzero_si256(),
                    vs02 = _mm256_setzero_si256(), vs03 = _mm256_setzero_si256(),
                    vs10 = _mm256_setzero_si256(), vs11 = _mm256_setzero_si256(),
                    vs12 = _mm256_setzero_si256(), vs13 = _mm256_setzero_si256(),
                    vs20 = _mm256_setzero_si256(), vs21 = _mm256_setzero_si256(),
                    vs22 = _mm256_setzero_si256(), vs23 = _mm256_setzero_si256();

            /* TODO : Fix AVX-512 path. Segmentation fault in Conv2D Tests.
#if CV_AVX512_SKX // AVX512VL is necessary to avoid register spilling
            if (vecsize >= 64)
            {
                __m512i vs00_5 = _mm512_setzero_si512(), vs01_5 = _mm512_setzero_si512(),
                        vs02_5 = _mm512_setzero_si512(), vs03_5 = _mm512_setzero_si512(),
                        vs10_5 = _mm512_setzero_si512(), vs11_5 = _mm512_setzero_si512(),
                        vs12_5 = _mm512_setzero_si512(), vs13_5 = _mm512_setzero_si512(),
                        vs20_5 = _mm512_setzero_si512(), vs21_5 = _mm512_setzero_si512(),
                        vs22_5 = _mm512_setzero_si512(), vs23_5 = _mm512_setzero_si512();

                for (; k <= vecsize - 64; k += 64, rptr += 64)
                {
                    __m512i w0 = _mm512_load_si512(wptr0 + k);
                    __m512i w1 = _mm512_load_si512(wptr1 + k);
                    __m512i w2 = _mm512_load_si512(wptr2 + k);
                    __m512i r0 = _mm512_load_si512(rptr);

                    vs00_5 = _mm512_fmaddepi8_epi32(w0, r0, vs00_5);
                    vs10_5 = _mm512_fmaddepi8_epi32(w1, r0, vs10_5);
                    vs20_5 = _mm512_fmaddepi8_epi32(w2, r0, vs20_5);

                    r0 = _mm512_load_si512(rptr + vecsize_aligned);
                    vs01_5 = _mm512_fmaddepi8_epi32(w0, r0, vs01_5);
                    vs11_5 = _mm512_fmaddepi8_epi32(w1, r0, vs11_5);
                    vs21_5 = _mm512_fmaddepi8_epi32(w2, r0, vs21_5);

                    r0 = _mm512_load_si512(rptr + vecsize_aligned*2);
                    vs02_5 = _mm512_fmaddepi8_epi32(w0, r0, vs02_5);
                    vs12_5 = _mm512_fmaddepi8_epi32(w1, r0, vs12_5);
                    vs22_5 = _mm512_fmaddepi8_epi32(w2, r0, vs22_5);

                    r0 = _mm512_load_si512(rptr + vecsize_aligned*3);
                    vs03_5 = _mm512_fmaddepi8_epi32(w0, r0, vs03_5);
                    vs13_5 = _mm512_fmaddepi8_epi32(w1, r0, vs13_5);
                    vs23_5 = _mm512_fmaddepi8_epi32(w2, r0, vs23_5);
                }

                // now fold the 512 bit accumulator vectors into 256 bit vectors so that the AVX2 code can finish
                // the tail of the vector

                vs00 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs00_5, 0), _mm512_extracti32x8_epi32(vs00_5, 1));
                vs10 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs10_5, 0), _mm512_extracti32x8_epi32(vs10_5, 1));
                vs20 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs20_5, 0), _mm512_extracti32x8_epi32(vs20_5, 1));

                vs01 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs01_5, 0), _mm512_extracti32x8_epi32(vs01_5, 1));
                vs11 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs11_5, 0), _mm512_extracti32x8_epi32(vs11_5, 1));
                vs21 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs21_5, 0), _mm512_extracti32x8_epi32(vs21_5, 1));

                vs02 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs02_5, 0), _mm512_extracti32x8_epi32(vs02_5, 1));
                vs12 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs12_5, 0), _mm512_extracti32x8_epi32(vs12_5, 1));
                vs22 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs22_5, 0), _mm512_extracti32x8_epi32(vs22_5, 1));

                vs03 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs03_5, 0), _mm512_extracti32x8_epi32(vs03_5, 1));
                vs13 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs13_5, 0), _mm512_extracti32x8_epi32(vs13_5, 1));
                vs23 = _mm256_add_epi32( _mm512_extracti32x8_epi32(vs23_5, 0), _mm512_extracti32x8_epi32(vs23_5, 1));
            }
#endif
            */
            for (; k < vecsize; k += 32, rptr += 32 )
            {
                __m256i w0 = _mm256_load_si256((const __m256i*)(wptr0 + k));
                __m256i w1 = _mm256_load_si256((const __m256i*)(wptr1 + k));
                __m256i w2 = _mm256_load_si256((const __m256i*)(wptr2 + k));
                __m256i r0 = _mm256_load_si256((const __m256i*)rptr);

                vs00 = _mm256_fmaddepi8_epi32(w0, r0, vs00);
                vs10 = _mm256_fmaddepi8_epi32(w1, r0, vs10);
                vs20 = _mm256_fmaddepi8_epi32(w2, r0, vs20);

                r0 = _mm256_load_si256((const __m256i*)(rptr + vecsize_aligned));
                vs01 = _mm256_fmaddepi8_epi32(w0, r0, vs01);
                vs11 = _mm256_fmaddepi8_epi32(w1, r0, vs11);
                vs21 = _mm256_fmaddepi8_epi32(w2, r0, vs21);

                r0 = _mm256_load_si256((const __m256i*)(rptr + vecsize_aligned*2));
                vs02 = _mm256_fmaddepi8_epi32(w0, r0, vs02);
                vs12 = _mm256_fmaddepi8_epi32(w1, r0, vs12);
                vs22 = _mm256_fmaddepi8_epi32(w2, r0, vs22);

                r0 = _mm256_load_si256((const __m256i*)(rptr + vecsize_aligned*3));
                vs03 = _mm256_fmaddepi8_epi32(w0, r0, vs03);
                vs13 = _mm256_fmaddepi8_epi32(w1, r0, vs13);
                vs23 = _mm256_fmaddepi8_epi32(w2, r0, vs23);
            }

            __m256i t0 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs00, vs01), _mm256_hadd_epi32(vs02, vs03));
            __m256i t1 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs10, vs11), _mm256_hadd_epi32(vs12, vs13));
            __m256i t2 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs20, vs21), _mm256_hadd_epi32(vs22, vs23));

            t0 = _mm256_add_epi32(t0, _mm256_permute2x128_si256(t0, t0, 1));
            t1 = _mm256_add_epi32(t1, _mm256_permute2x128_si256(t1, t1, 1));
            t2 = _mm256_add_epi32(t2, _mm256_permute2x128_si256(t2, t2, 1));

            __m128i s0, s1, s2;

            if( initOutput )
            {
                s0 = _mm_set1_epi32(bias0);
                s1 = _mm_set1_epi32(bias1);
                s2 = _mm_set1_epi32(bias2);
            }
            else
            {
                s0 = _mm_loadu_si128((__m128i*)(outptr0 + j));
                s1 = _mm_loadu_si128((__m128i*)(outptr1 + j));
                s2 = _mm_loadu_si128((__m128i*)(outptr2 + j));
            }

            s0 = _mm_add_epi32(s0, _mm256_castsi256_si128(t0));
            s1 = _mm_add_epi32(s1, _mm256_castsi256_si128(t1));
            s2 = _mm_add_epi32(s2, _mm256_castsi256_si128(t2));

            if( finalOutput )
            {
                __m128i voutzp = _mm_set1_epi32(outZp);
                __m128i outmin = _mm_set1_epi32(-128), outmax = _mm_set1_epi32(127);
                s0 = _mm_add_epi32(voutzp, _mm_cvtps_epi32(_mm_mul_ps(_mm_cvtepi32_ps(s0), _mm_set1_ps(mult0))));
                s1 = _mm_add_epi32(voutzp, _mm_cvtps_epi32(_mm_mul_ps(_mm_cvtepi32_ps(s1), _mm_set1_ps(mult1))));
                s2 = _mm_add_epi32(voutzp, _mm_cvtps_epi32(_mm_mul_ps(_mm_cvtepi32_ps(s2), _mm_set1_ps(mult2))));

                s0 = _mm_min_epi32(_mm_max_epi32(s0, outmin), outmax);
                s1 = _mm_min_epi32(_mm_max_epi32(s1, outmin), outmax);
                s2 = _mm_min_epi32(_mm_max_epi32(s2, outmin), outmax);
            }
            if( tail )
            {
                s0 =  _mm_castps_si128(_mm_blendv_ps(_mm_loadu_ps((const float*)outptr0 + j),  _mm_castsi128_ps(s0), mask));
                s1 =  _mm_castps_si128(_mm_blendv_ps(_mm_loadu_ps((const float*)outptr1 + j),  _mm_castsi128_ps(s1), mask));
                s2 =  _mm_castps_si128(_mm_blendv_ps(_mm_loadu_ps((const float*)outptr2 + j),  _mm_castsi128_ps(s2), mask));
            }
            _mm_storeu_si128((__m128i*)(outptr0 + j), s0);
            _mm_storeu_si128((__m128i*)(outptr1 + j), s1);
            _mm_storeu_si128((__m128i*)(outptr2 + j), s2);
        }

        for( ; j <= blockSize - 2; j += 2 )
        {
            const int8_t* rptr0 = rowbuf + j*vecsize_aligned;
            const int8_t* rptr1 = rowbuf + (j+1)*vecsize_aligned;
            int s00, s01, s10, s11, s20, s21;

            if( initOutput )
            {
                s00 = s01 = bias0;
                s10 = s11 = bias1;
                s20 = s21 = bias2;
            }
            else
            {
                s00 = outptr0[j]; s01 = outptr0[j+1];
                s10 = outptr1[j]; s11 = outptr1[j+1];
                s20 = outptr2[j]; s21 = outptr2[j+1];
            }

            for( int k = 0; k < vecsize; k++ )
            {
                int8_t w0 = wptr0[k], w1 = wptr1[k], w2 = wptr2[k];
                int8_t r = rptr0[k];
                s00 += (int)w0*r; s10 += (int)w1*r; s20 += (int)w2*r;
                r = rptr1[k];
                s01 += (int)w0*r; s11 += (int)w1*r; s21 += (int)w2*r;
            }

            if( finalOutput )
            {
                s00 = std::min(std::max(outZp + (int)std::round(s00*mult0), -128), 127);
                s01 = std::min(std::max(outZp + (int)std::round(s01*mult0), -128), 127);
                s10 = std::min(std::max(outZp + (int)std::round(s10*mult1), -128), 127);
                s11 = std::min(std::max(outZp + (int)std::round(s11*mult1), -128), 127);
                s20 = std::min(std::max(outZp + (int)std::round(s20*mult2), -128), 127);
                s21 = std::min(std::max(outZp + (int)std::round(s21*mult2), -128), 127);
            }
            outptr0[j] = s00;
            outptr0[j+1] = s01;
            outptr1[j] = s10;
            outptr1[j+1] = s11;
            outptr2[j] = s20;
            outptr2[j+1] = s21;
        }

        for( ; j < blockSize; j++ )
        {
            const int8_t* rptr0 = rowbuf + j*vecsize_aligned;
            int s00, s10, s20;

            if( initOutput )
            {
                s00 = bias0;
                s10 = bias1;
                s20 = bias2;
            }
            else
            {
                s00 = outptr0[j];
                s10 = outptr1[j];
                s20 = outptr2[j];
            }

            for( int k = 0; k < vecsize; k++ )
            {
                int8_t w0 = wptr0[k], w1 = wptr1[k], w2 = wptr2[k];
                int8_t r = rptr0[k];
                s00 += (int)w0*r; s10 += (int)w1*r; s20 += (int)w2*r;
            }

            if( finalOutput )
            {
                s00 = std::min(std::max(outZp + (int)std::round(s00*mult0), -128), 127);
                s10 = std::min(std::max(outZp + (int)std::round(s10*mult1), -128), 127);
                s20 = std::min(std::max(outZp + (int)std::round(s20*mult2), -128), 127);
            }
            outptr0[j] = s00;
            outptr1[j] = s10;
            outptr2[j] = s20;
        }
    }
    _mm256_zeroupper();
}

static inline void _mm256_expand_mul_add(const __m256i& a, const __m256i& b,
                                         __m256i& out0, __m256i& out1, __m256i& out2, __m256i& out3)
{
    __m256i a0 = _mm256_cvtepi8_epi16(_mm256_castsi256_si128(a));
    __m256i a1 = _mm256_cvtepi8_epi16(_mm256_extracti128_si256(a, 1));

    __m256i b0 = _mm256_cvtepi8_epi16(_mm256_castsi256_si128(b));
    __m256i b1 = _mm256_cvtepi8_epi16(_mm256_extracti128_si256(b, 1));

    __m256i a0b0 = _mm256_mullo_epi16(a0, b0);
    __m256i a1b1 = _mm256_mullo_epi16(a1, b1);

    out0 = _mm256_add_epi32(out0, _mm256_cvtepi16_epi32(_mm256_castsi256_si128(a0b0)));
    out1 = _mm256_add_epi32(out1, _mm256_cvtepi16_epi32(_mm256_extracti128_si256(a0b0, 1)));
    out2 = _mm256_add_epi32(out2, _mm256_cvtepi16_epi32(_mm256_castsi256_si128(a1b1)));
    out3 = _mm256_add_epi32(out3, _mm256_cvtepi16_epi32(_mm256_extracti128_si256(a1b1, 1)));
}

static inline void _mm256_load_deinterleave(const int8_t* ptr, __m256i& a, __m256i& b)
{
    __m256i t0 = _mm256_loadu_si256((const __m256i*)ptr);
    __m256i t1 = _mm256_loadu_si256((const __m256i*)(ptr + 32));

    const __m256i sh = _mm256_setr_epi8(0, 2, 4, 6, 8, 10, 12, 14, 1, 3, 5, 7, 9, 11, 13, 15,
                                        0, 2, 4, 6, 8, 10, 12, 14, 1, 3, 5, 7, 9, 11, 13, 15);
    __m256i p0 = _mm256_shuffle_epi8(t0, sh);
    __m256i p1 = _mm256_shuffle_epi8(t1, sh);
    __m256i lo = _mm256_permute2x128_si256(p0, p1, 0 + 2*16);
    __m256i hi = _mm256_permute2x128_si256(p0, p1, 1 + 3*16);
    a = _mm256_unpacklo_epi64(lo, hi);
    b = _mm256_unpackhi_epi64(lo, hi);
}

void fastDepthwiseConv( const int8_t* wptr,
                     int kernel_h, int kernel_w,
                     int stride_h, int stride_w,
                     int dilation_h, int dilation_w,
                     int pad_t, int pad_l,
                     const int* biasptr, const float* multptr,
                     const int8_t* inptr_,
                     int height, int width,
                     int* outptr_,
                     int out_d, int outH, int outW,
                     int inpZp, int outZp)
{
    const int8_t w00_ = wptr[0], w01_ = wptr[1], w02_ = wptr[2],
                 w10 = wptr[3], w11 = wptr[4], w12 = wptr[5],
                 w20_ = wptr[6], w21_ = wptr[7], w22_ = wptr[8];
    int outW1 = min(outW, (width - dilation_w*(kernel_w - 1) + pad_l)/stride_w);
    float mult = multptr[out_d];
    int bias = biasptr[out_d];
    int biasCopy;

    for (int out_i = 0; out_i < outH; out_i++)
    {
        int in_i = out_i * stride_h - pad_t, out_j = 0;
        const int8_t* imgptr0 = inptr_ + in_i*width;
        const int8_t* imgptr1 = imgptr0 + dilation_h*width;
        const int8_t* imgptr2 = imgptr0 + (dilation_h*2)*width;
        int8_t w00 = w00_, w01 = w01_, w02 = w02_;
        int8_t w20 = w20_, w21 = w21_, w22 = w22_;
        int out;
        biasCopy = bias;
        if (in_i < 0)
        {
            biasCopy += inpZp * (w00 + w01 + w02);
            w00 = w01 = w02 = 0;
            imgptr0 = imgptr1;
        }
        else if (in_i + dilation_h*(kernel_h-1) >= height)
        {
            biasCopy += inpZp * (w20 + w21 + w22);
            w20 = w21 = w22 = 0;
            imgptr2 = imgptr1;
        }
        int* outptr = outptr_ + out_i*outW;
        if (pad_l > 0)
        {
            out = (int)imgptr0[0]*w01 + (int)imgptr0[dilation_w]*w02 +
                  (int)imgptr1[0]*w11 + (int)imgptr1[dilation_w]*w12 +
                  (int)imgptr2[0]*w21 + (int)imgptr2[dilation_w]*w22 +
                  biasCopy + inpZp*(w00 + w10 + w20);
            outptr[0] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
            out_j = 1;
        }

        if (stride_w == 1 || (stride_w == 2 && dilation_w == 1))
        {
            const int VECSZ = 32;
            __m256i vw00 = _mm256_set1_epi8(w00), vw01 = _mm256_set1_epi8(w01), vw02 = _mm256_set1_epi8(w02),
                    vw10 = _mm256_set1_epi8(w10), vw11 = _mm256_set1_epi8(w11), vw12 = _mm256_set1_epi8(w12),
                    vw20 = _mm256_set1_epi8(w20), vw21 = _mm256_set1_epi8(w21), vw22 = _mm256_set1_epi8(w22);
            __m256i vbias = _mm256_set1_epi32(biasCopy), voutzp = _mm256_set1_epi32(outZp),
                    outmin = _mm256_set1_epi32(-128), outmax = _mm256_set1_epi32(127);
            __m256 vmult = _mm256_set1_ps(mult);
            __m256i vout0, vout1, vout2, vout3;

            if( stride_w == 1 )
            {
                for( ; out_j < outW1; out_j += VECSZ )
                {
                    if (out_j + VECSZ > outW1)
                    {
                        if (out_j <= pad_l)
                            break;
                        out_j = outW1 - VECSZ;
                    }
                    int in_j = out_j * stride_w - pad_l;
                    __m256i v00 = _mm256_loadu_si256((const __m256i*)(imgptr0 + in_j)),
                            v01 = _mm256_loadu_si256((const __m256i*)(imgptr0 + in_j + dilation_w)),
                            v02 = _mm256_loadu_si256((const __m256i*)(imgptr0 + in_j + dilation_w*2)),
                            v10 = _mm256_loadu_si256((const __m256i*)(imgptr1 + in_j)),
                            v11 = _mm256_loadu_si256((const __m256i*)(imgptr1 + in_j + dilation_w)),
                            v12 = _mm256_loadu_si256((const __m256i*)(imgptr1 + in_j + dilation_w*2)),
                            v20 = _mm256_loadu_si256((const __m256i*)(imgptr2 + in_j)),
                            v21 = _mm256_loadu_si256((const __m256i*)(imgptr2 + in_j + dilation_w)),
                            v22 = _mm256_loadu_si256((const __m256i*)(imgptr2 + in_j + dilation_w*2));

                    vout0 = vout1 = vout2 = vout3 = vbias;
                    _mm256_expand_mul_add(v00, vw00, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v01, vw01, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v02, vw02, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v10, vw10, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v11, vw11, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v12, vw12, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v20, vw20, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v21, vw21, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v22, vw22, vout0, vout1, vout2, vout3);

                    vout0 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout0), vmult)));
                    vout1 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout1), vmult)));
                    vout2 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout2), vmult)));
                    vout3 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout3), vmult)));

                    vout0 = _mm256_min_epi32(_mm256_max_epi32(vout0, outmin), outmax);
                    vout1 = _mm256_min_epi32(_mm256_max_epi32(vout1, outmin), outmax);
                    vout2 = _mm256_min_epi32(_mm256_max_epi32(vout2, outmin), outmax);
                    vout3 = _mm256_min_epi32(_mm256_max_epi32(vout3, outmin), outmax);

                    _mm256_storeu_si256((__m256i*)(outptr + out_j), vout0);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 8), vout1);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 16), vout2);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 24), vout3);
                }
            }
            else
            {
                for( ; out_j < outW1; out_j += VECSZ )
                {
                    if (out_j + VECSZ > outW1)
                    {
                        if (out_j <= pad_l)
                            break;
                        out_j = outW1 - VECSZ;
                    }
                    int in_j = out_j * stride_w - pad_l;
                    __m256i v00, v01, v02, v10, v11, v12, v20, v21, v22, unused;
                    _mm256_load_deinterleave(imgptr0 + in_j, v00, v01);
                    _mm256_load_deinterleave(imgptr0 + in_j + 2, v02, unused);
                    _mm256_load_deinterleave(imgptr1 + in_j, v10, v11);
                    _mm256_load_deinterleave(imgptr1 + in_j + 2, v12, unused);
                    _mm256_load_deinterleave(imgptr2 + in_j, v20, v21);
                    _mm256_load_deinterleave(imgptr2 + in_j + 2, v22, unused);

                    vout0 = vout1 = vout2 = vout3 = vbias;
                    _mm256_expand_mul_add(v00, vw00, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v01, vw01, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v02, vw02, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v10, vw10, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v11, vw11, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v12, vw12, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v20, vw20, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v21, vw21, vout0, vout1, vout2, vout3);
                    _mm256_expand_mul_add(v22, vw22, vout0, vout1, vout2, vout3);

                    vout0 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout0), vmult)));
                    vout1 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout1), vmult)));
                    vout2 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout2), vmult)));
                    vout3 = _mm256_add_epi32(voutzp, _mm256_cvtps_epi32(_mm256_mul_ps(_mm256_cvtepi32_ps(vout3), vmult)));

                    vout0 = _mm256_min_epi32(_mm256_max_epi32(vout0, outmin), outmax);
                    vout1 = _mm256_min_epi32(_mm256_max_epi32(vout1, outmin), outmax);
                    vout2 = _mm256_min_epi32(_mm256_max_epi32(vout2, outmin), outmax);
                    vout3 = _mm256_min_epi32(_mm256_max_epi32(vout3, outmin), outmax);

                    _mm256_storeu_si256((__m256i*)(outptr + out_j), vout0);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 8), vout1);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 16), vout2);
                    _mm256_storeu_si256((__m256i*)(outptr + out_j + 24), vout3);
                }
            }
        }

        for (; out_j < outW1; out_j++)
        {
            int in_j = out_j * stride_w - pad_l;
            out = (int)imgptr0[in_j]*w00 + (int)imgptr0[in_j + dilation_w]*w01 + (int)imgptr0[in_j + dilation_w*2]*w02 +
                  (int)imgptr1[in_j]*w10 + (int)imgptr1[in_j + dilation_w]*w11 + (int)imgptr1[in_j + dilation_w*2]*w12 +
                  (int)imgptr2[in_j]*w20 + (int)imgptr2[in_j + dilation_w]*w21 + (int)imgptr2[in_j + dilation_w*2]*w22 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }

        for (; out_j < outW; out_j++ )
        {
            int in_j0 = out_j * stride_w - pad_l, in_j1 = in_j0 + dilation_w, in_j2 = in_j0 + dilation_w*2;
            int s0 = 1, s1 = 1, s2 = 1;
            if (in_j0 >= width)
            {
                in_j0 = 0;
                s0 = 0;
                biasCopy += inpZp*(w00 + w10 + w20);
            }
            if (in_j1 >= width)
            {
                in_j1 = 0;
                s1 = 0;
                biasCopy += inpZp*(w01 + w11 + w21);
            }
            if (in_j2 >= width)
            {
                in_j2 = 0;
                s2 = 0;
                biasCopy += inpZp*(w02 + w12 + w22);
            }
            out = (int)imgptr0[in_j0]*w00*s0 + (int)imgptr0[in_j1]*w01*s1 + (int)imgptr0[in_j2]*w02*s2 +
                  (int)imgptr1[in_j0]*w10*s0 + (int)imgptr1[in_j1]*w11*s1 + (int)imgptr1[in_j2]*w12*s2 +
                  (int)imgptr2[in_j0]*w20*s0 + (int)imgptr2[in_j1]*w21*s1 + (int)imgptr2[in_j2]*w22*s2 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }
    }
    _mm256_zeroupper();
}

// dst = vec * weights^t + bias
void fastGEMM1T( const int8_t* vec, const int8_t* weights,
                 size_t wstep, const int* bias, const float* multiplier,
                 int* dst, int nvecs, int vecsize, int outZp )
{
    int i = 0;

    for( ; i <= nvecs - 8; i += 8 )
    {
        const int8_t* wptr = weights + i*wstep;
        __m256i vs0 = _mm256_setzero_si256(), vs1 = _mm256_setzero_si256(),
                vs2 = _mm256_setzero_si256(), vs3 = _mm256_setzero_si256(),
                vs4 = _mm256_setzero_si256(), vs5 = _mm256_setzero_si256(),
                vs6 = _mm256_setzero_si256(), vs7 = _mm256_setzero_si256();

        __m128i voutzp = _mm_set1_epi32(outZp);
        __m128i outmin = _mm_set1_epi32(-128), outmax = _mm_set1_epi32(127);

        for( int k = 0; k < vecsize; k += 32, wptr += 32 )
        {
            __m256i v = _mm256_load_si256((const __m256i*)(vec + k));

            vs0 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)wptr), v, vs0);
            vs1 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep)), v, vs1);
            vs2 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*2)), v, vs2);
            vs3 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*3)), v, vs3);
            vs4 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*4)), v, vs4);
            vs5 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*5)), v, vs5);
            vs6 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*6)), v, vs6);
            vs7 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)(wptr + wstep*7)), v, vs7);
        }

        __m256i s0 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs0, vs1), _mm256_hadd_epi32(vs2, vs3));
        __m256i s1 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs4, vs5), _mm256_hadd_epi32(vs6, vs7));

        s0 = _mm256_add_epi32(s0, _mm256_permute2x128_si256(s0, s0, 1));
        s1 = _mm256_add_epi32(s1, _mm256_permute2x128_si256(s1, s1, 1));

        __m128i t0 = _mm_add_epi32(_mm256_castsi256_si128(s0), _mm_loadu_si128((__m128i*)(bias + i)));
        __m128i t1 = _mm_add_epi32(_mm256_castsi256_si128(s1), _mm_loadu_si128((__m128i*)(bias + i + 4)));

        t0 = _mm_add_epi32(voutzp, _mm_cvtps_epi32(_mm_mul_ps(_mm_cvtepi32_ps(t0), _mm_loadu_ps(multiplier + i))));
        t1 = _mm_add_epi32(voutzp, _mm_cvtps_epi32(_mm_mul_ps(_mm_cvtepi32_ps(t1), _mm_loadu_ps(multiplier + i + 4))));

        t0 = _mm_min_epi32(_mm_max_epi32(t0, outmin), outmax);
        t1 = _mm_min_epi32(_mm_max_epi32(t1, outmin), outmax);

        _mm_storeu_si128((__m128i*)(dst + i), t0);
        _mm_storeu_si128((__m128i*)(dst + i + 4), t1);
    }

    for( ; i < nvecs; i++ )
    {
        const int8_t* wptr = weights + i*wstep;
        __m256i vs0 = _mm256_setzero_si256();

        for( int k = 0; k < vecsize; k += 32, wptr += 32 )
        {
            __m256i v = _mm256_load_si256((const __m256i*)(vec + k));
            vs0 = _mm256_fmaddepi8_epi32(_mm256_load_si256((const __m256i*)wptr), v, vs0);
        }

        __m256i s0 = _mm256_hadd_epi32(_mm256_hadd_epi32(vs0, vs0), vs0);
        s0 = _mm256_add_epi32(s0, _mm256_permute2x128_si256(s0, s0, 1));
        int temp = _mm_extract_epi32(_mm256_castsi256_si128(s0), 0);
        dst[i] = outZp + (int)std::round((temp + bias[i]) * multiplier[i]);
    }

    _mm256_zeroupper();
}
#endif // CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY


#if !defined(CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY) && CV_LASX

inline __m256i _v256_fmadds8_s32(const __m256i& a, const __m256i& b, const __m256i& c)
{
    __m256i vzero = __lasx_xvreplgr2vr_d(0);
    __m256i even_ab = __lasx_xvmaddwev_h_b(vzero, a, b);
    __m256i madd_ab = __lasx_xvmaddwod_h_b(even_ab, a, b);

    __m256i even_madd_ab = __lasx_xvsrai_w(__lasx_xvslli_w(madd_ab, 16), 16);
    __m256i  odd_madd_ab = __lasx_xvsrai_w(madd_ab, 16);

    return __lasx_xvadd_w(__lasx_xvadd_w(even_madd_ab, odd_madd_ab), c);
}

enum { FASCONV_BASE_VECSZ = 4 };

void fastConv( const int8_t* weights, size_t wstep, const int* bias,
               const int8_t* rowbuf, int* output, const int* outShape,
               int blockSize, int vecsize, int vecsize_aligned, int outZp,
               const float* multiplier, bool initOutput, bool finalOutput )
{
    int outCn = outShape[1];
    size_t outPlaneSize = outShape[2]*outShape[3];
    int CV_DECL_ALIGNED(16) maskbuf[FASCONV_BASE_VECSZ] = {0};
    int rsz = blockSize % FASCONV_BASE_VECSZ;
    for( int i = 0; i < rsz; i++ )
        maskbuf[FASCONV_BASE_VECSZ - i - 1] = -1;
    __m128i mask = __lsx_vld((const float*)maskbuf, 0);

    // now compute dot product of the weights
    // and im2row-transformed part of the tensor
    for( int i = 0; i < outCn; i += 3 )
    {
        const int8_t* wptr0 = weights + i*wstep;
        const int8_t* wptr1 = wptr0 + wstep;
        const int8_t* wptr2 = wptr1 + wstep;
        int* outptr0 = output + i*outPlaneSize;
        int* outptr1 = outptr0 + outPlaneSize;
        int* outptr2 = outptr1 + outPlaneSize;
        int bias0 = bias[i], bias1 = bias[i+1], bias2 = bias[i+2];
        float mult0 = multiplier[i], mult1 = multiplier[i+1], mult2 = multiplier[i+2];

        if( i+2 >= outCn )
        {
            wptr2 = wptr1;
            outptr2 = outptr1;
            bias2 = bias1;
            mult2 = mult1;

            if( i+1 >= outCn )
            {
                wptr2 = wptr1 = wptr0;
                outptr2 = outptr1 = outptr0;
                bias2 = bias1 = bias0;
                mult2 = mult1 = mult0;
            }
        }
        int j = 0;
        for( ; j < blockSize; j += FASCONV_BASE_VECSZ )
        {
            bool tail = false;
            if (j + FASCONV_BASE_VECSZ > blockSize)
            {
                if (j == 0)
                    break;
                j = blockSize - FASCONV_BASE_VECSZ;
                tail = true;
            }
            int k = 0;
            const int8_t* rptr = rowbuf + j*vecsize_aligned;

            __m256i vs00 = __lasx_xvreplgr2vr_d(0), vs01 = __lasx_xvreplgr2vr_d(0),
                    vs02 = __lasx_xvreplgr2vr_d(0), vs03 = __lasx_xvreplgr2vr_d(0),
                    vs10 = __lasx_xvreplgr2vr_d(0), vs11 = __lasx_xvreplgr2vr_d(0),
                    vs12 = __lasx_xvreplgr2vr_d(0), vs13 = __lasx_xvreplgr2vr_d(0),
                    vs20 = __lasx_xvreplgr2vr_d(0), vs21 = __lasx_xvreplgr2vr_d(0),
                    vs22 = __lasx_xvreplgr2vr_d(0), vs23 = __lasx_xvreplgr2vr_d(0);

            for (; k < vecsize; k += 32, rptr += 32 )
            {
                __m256i w0 = __lasx_xvld((const __m256i*)(wptr0 + k), 0);
                __m256i w1 = __lasx_xvld((const __m256i*)(wptr1 + k), 0);
                __m256i w2 = __lasx_xvld((const __m256i*)(wptr2 + k), 0);
                __m256i r0 = __lasx_xvld((const __m256i*)(rptr), 0);

                vs00 = _v256_fmadds8_s32(w0, r0, vs00);
                vs10 = _v256_fmadds8_s32(w1, r0, vs10);
                vs20 = _v256_fmadds8_s32(w2, r0, vs20);

                r0 = __lasx_xvld((const __m256i*)(rptr + vecsize_aligned), 0);
                vs01 = _v256_fmadds8_s32(w0, r0, vs01);
                vs11 = _v256_fmadds8_s32(w1, r0, vs11);
                vs21 = _v256_fmadds8_s32(w2, r0, vs21);

                r0 = __lasx_xvld((const __m256i*)(rptr + vecsize_aligned*2), 0);
                vs02 = _v256_fmadds8_s32(w0, r0, vs02);
                vs12 = _v256_fmadds8_s32(w1, r0, vs12);
                vs22 = _v256_fmadds8_s32(w2, r0, vs22);

                r0 = __lasx_xvld((const __m256i*)(rptr + vecsize_aligned*3), 0);
                vs03 = _v256_fmadds8_s32(w0, r0, vs03);
                vs13 = _v256_fmadds8_s32(w1, r0, vs13);
                vs23 = _v256_fmadds8_s32(w2, r0, vs23);
            }

            /*t0*/
            __m256i vs00_hadd_w = __lasx_xvhaddw_d_w(vs00, vs00);
            __m256i vs00_hadd_d = __lasx_xvhaddw_q_d(vs00_hadd_w, vs00_hadd_w);

            __m256i vs01_hadd_w = __lasx_xvhaddw_d_w(vs01, vs01);
            __m256i vs01_hadd_d = __lasx_xvhaddw_q_d(vs01_hadd_w, vs01_hadd_w);

            __m256i vs02_hadd_w = __lasx_xvhaddw_d_w(vs02, vs02);
            __m256i vs02_hadd_d = __lasx_xvhaddw_q_d(vs02_hadd_w, vs02_hadd_w);

            __m256i vs03_hadd_w = __lasx_xvhaddw_d_w(vs03, vs03);
            __m256i vs03_hadd_d = __lasx_xvhaddw_q_d(vs03_hadd_w, vs03_hadd_w);

            __m256i vs01_vs00 = __lasx_xvpackev_w(vs01_hadd_d, vs00_hadd_d);
            __m256i vs03_vs02 = __lasx_xvpackev_w(vs03_hadd_d, vs02_hadd_d);
            __m256i        t0 = __lasx_xvpackev_d(vs03_vs02, vs01_vs00);

            /*t1*/
            __m256i vs10_hadd_w = __lasx_xvhaddw_d_w(vs10, vs10);
            __m256i vs10_hadd_d = __lasx_xvhaddw_q_d(vs10_hadd_w, vs10_hadd_w);

            __m256i vs11_hadd_w = __lasx_xvhaddw_d_w(vs11, vs11);
            __m256i vs11_hadd_d = __lasx_xvhaddw_q_d(vs11_hadd_w, vs11_hadd_w);

            __m256i vs12_hadd_w = __lasx_xvhaddw_d_w(vs12, vs12);
            __m256i vs12_hadd_d = __lasx_xvhaddw_q_d(vs12_hadd_w, vs12_hadd_w);

            __m256i vs13_hadd_w = __lasx_xvhaddw_d_w(vs13, vs13);
            __m256i vs13_hadd_d = __lasx_xvhaddw_q_d(vs13_hadd_w, vs13_hadd_w);

            __m256i vs11_vs10 = __lasx_xvpackev_w(vs11_hadd_d, vs10_hadd_d);
            __m256i vs13_vs12 = __lasx_xvpackev_w(vs13_hadd_d, vs12_hadd_d);
            __m256i        t1 = __lasx_xvpackev_d(vs13_vs12, vs11_vs10);

            /*t2*/
            __m256i vs20_hadd_w = __lasx_xvhaddw_d_w(vs20, vs20);
            __m256i vs20_hadd_d = __lasx_xvhaddw_q_d(vs20_hadd_w, vs20_hadd_w);

            __m256i vs21_hadd_w = __lasx_xvhaddw_d_w(vs21, vs21);
            __m256i vs21_hadd_d = __lasx_xvhaddw_q_d(vs21_hadd_w, vs21_hadd_w);

            __m256i vs22_hadd_w = __lasx_xvhaddw_d_w(vs22, vs22);
            __m256i vs22_hadd_d = __lasx_xvhaddw_q_d(vs22_hadd_w, vs22_hadd_w);

            __m256i vs23_hadd_w = __lasx_xvhaddw_d_w(vs23, vs23);
            __m256i vs23_hadd_d = __lasx_xvhaddw_q_d(vs23_hadd_w, vs23_hadd_w);

            __m256i vs21_vs20 = __lasx_xvpackev_w(vs21_hadd_d, vs20_hadd_d);
            __m256i vs23_vs22 = __lasx_xvpackev_w(vs23_hadd_d, vs22_hadd_d);
            __m256i        t2 = __lasx_xvpackev_d(vs23_vs22, vs21_vs20);

            t0 = __lasx_xvadd_w(t0, __lasx_xvpermi_q(t0, t0, 1));
            t1 = __lasx_xvadd_w(t1, __lasx_xvpermi_q(t1, t1, 1));
            t2 = __lasx_xvadd_w(t2, __lasx_xvpermi_q(t2, t2, 1));

            __m128i s0, s1, s2;

            if( initOutput )
            {
                s0 = __lsx_vreplgr2vr_w(bias0);
                s1 = __lsx_vreplgr2vr_w(bias1);
                s2 = __lsx_vreplgr2vr_w(bias2);
            }
            else
            {
                s0 = __lsx_vld((__m128i*)(outptr0 + j), 0);
                s1 = __lsx_vld((__m128i*)(outptr1 + j), 0);
                s2 = __lsx_vld((__m128i*)(outptr2 + j), 0);
            }

            s0 = __lsx_vadd_w(s0, *(__m128i*)&t0);
            s1 = __lsx_vadd_w(s1, *(__m128i*)&t1);
            s2 = __lsx_vadd_w(s2, *(__m128i*)&t2);

            if( finalOutput )
            {
                __m128i voutzp = __lsx_vreplgr2vr_w(outZp);
                __m128i outmin = __lsx_vreplgr2vr_w(-128), outmax = __lsx_vreplgr2vr_w(127);
                __m256 v_mult0 = _v256_setall_ps(mult0);
                __m256 v_mult1 = _v256_setall_ps(mult1);
                __m256 v_mult2 = _v256_setall_ps(mult2);

                s0 = __lsx_vadd_w(voutzp, __lsx_vftint_w_s(__lsx_vfmul_s(__lsx_vffint_s_w(s0), *(__m128*)&v_mult0)));
                s1 = __lsx_vadd_w(voutzp, __lsx_vftint_w_s(__lsx_vfmul_s(__lsx_vffint_s_w(s1), *(__m128*)&v_mult1)));
                s2 = __lsx_vadd_w(voutzp, __lsx_vftint_w_s(__lsx_vfmul_s(__lsx_vffint_s_w(s2), *(__m128*)&v_mult2)));

                s0 = __lsx_vmin_w(__lsx_vmax_w(s0, outmin), outmax);
                s1 = __lsx_vmin_w(__lsx_vmax_w(s1, outmin), outmax);
                s2 = __lsx_vmin_w(__lsx_vmax_w(s2, outmin), outmax);
            }
            if( tail )
            {
                s0 =  __lsx_vbitsel_v(__lsx_vld((const float*)outptr0 + j, 0),  s0, mask);
                s1 =  __lsx_vbitsel_v(__lsx_vld((const float*)outptr1 + j, 0),  s1, mask);
                s2 =  __lsx_vbitsel_v(__lsx_vld((const float*)outptr2 + j, 0),  s2, mask);
            }
            __lsx_vst(s0, (__m128i*)(outptr0 + j), 0);
            __lsx_vst(s1, (__m128i*)(outptr1 + j), 0);
            __lsx_vst(s2, (__m128i*)(outptr2 + j), 0);
        }

        for( ; j <= blockSize - 2; j += 2 )
        {
            const int8_t* rptr0 = rowbuf + j*vecsize_aligned;
            const int8_t* rptr1 = rowbuf + (j+1)*vecsize_aligned;
            int s00, s01, s10, s11, s20, s21;

            if( initOutput )
            {
                s00 = s01 = bias0;
                s10 = s11 = bias1;
                s20 = s21 = bias2;
            }
            else
            {
                s00 = outptr0[j]; s01 = outptr0[j+1];
                s10 = outptr1[j]; s11 = outptr1[j+1];
                s20 = outptr2[j]; s21 = outptr2[j+1];
            }

            for( int k = 0; k < vecsize; k++ )
            {
                int8_t w0 = wptr0[k], w1 = wptr1[k], w2 = wptr2[k];
                int8_t r = rptr0[k];
                s00 += (int)w0*r; s10 += (int)w1*r; s20 += (int)w2*r;
                r = rptr1[k];
                s01 += (int)w0*r; s11 += (int)w1*r; s21 += (int)w2*r;
            }

            if( finalOutput )
            {
                s00 = std::min(std::max(outZp + (int)std::round(s00*mult0), -128), 127);
                s01 = std::min(std::max(outZp + (int)std::round(s01*mult0), -128), 127);
                s10 = std::min(std::max(outZp + (int)std::round(s10*mult1), -128), 127);
                s11 = std::min(std::max(outZp + (int)std::round(s11*mult1), -128), 127);
                s20 = std::min(std::max(outZp + (int)std::round(s20*mult2), -128), 127);
                s21 = std::min(std::max(outZp + (int)std::round(s21*mult2), -128), 127);
            }
            outptr0[j] = s00;
            outptr0[j+1] = s01;
            outptr1[j] = s10;
            outptr1[j+1] = s11;
            outptr2[j] = s20;
            outptr2[j+1] = s21;
        }

        for( ; j < blockSize; j++ )
        {
            const int8_t* rptr0 = rowbuf + j*vecsize_aligned;
            int s00, s10, s20;

            if( initOutput )
            {
                s00 = bias0;
                s10 = bias1;
                s20 = bias2;
            }
            else
            {
                s00 = outptr0[j];
                s10 = outptr1[j];
                s20 = outptr2[j];
            }

            for( int k = 0; k < vecsize; k++ )
            {
                int8_t w0 = wptr0[k], w1 = wptr1[k], w2 = wptr2[k];
                int8_t r = rptr0[k];
                s00 += (int)w0*r; s10 += (int)w1*r; s20 += (int)w2*r;
            }

            if( finalOutput )
            {
                s00 = std::min(std::max(outZp + (int)std::round(s00*mult0), -128), 127);
                s10 = std::min(std::max(outZp + (int)std::round(s10*mult1), -128), 127);
                s20 = std::min(std::max(outZp + (int)std::round(s20*mult2), -128), 127);
            }
            outptr0[j] = s00;
            outptr1[j] = s10;
            outptr2[j] = s20;
        }
    }
}

static inline void _v256_expand_mul_add(const __m256i& a, const __m256i& b,
                                         __m256i& out0, __m256i& out1, __m256i& out2, __m256i& out3)
{
    __m256i a0 = __lasx_xvsllwil_h_b(__lasx_xvpermi_d(a, 0x10), 0);
    __m256i a1 = __lasx_xvsllwil_h_b(__lasx_xvpermi_d(a, 0x32), 0);

    __m256i b0 = __lasx_xvsllwil_h_b(__lasx_xvpermi_d(b, 0x10), 0);
    __m256i b1 = __lasx_xvsllwil_h_b(__lasx_xvpermi_d(b, 0x32), 0);

    __m256i a0b0 = __lasx_xvmul_h(a0, b0);
    __m256i a1b1 = __lasx_xvmul_h(a1, b1);

    out0 = __lasx_xvadd_w(out0, __lasx_xvsllwil_w_h(__lasx_xvpermi_d(a0b0, 0x10), 0));
    out1 = __lasx_xvadd_w(out1, __lasx_xvsllwil_w_h(__lasx_xvpermi_d(a0b0, 0x32), 0));
    out2 = __lasx_xvadd_w(out2, __lasx_xvsllwil_w_h(__lasx_xvpermi_d(a1b1, 0x10), 0));
    out3 = __lasx_xvadd_w(out3, __lasx_xvsllwil_w_h(__lasx_xvpermi_d(a1b1, 0x32), 0));
}

static inline void _v256_load_deinterleave(const int8_t* ptr, __m256i& a, __m256i& b)
{
    __m256i t0 = __lasx_xvld((const __m256i*)ptr, 0);
    __m256i t1 = __lasx_xvld((const __m256i*)ptr, 32*1);

    const __m256i sh = _v256_setr_b(0, 2, 4, 6, 8, 10, 12, 14, 1, 3, 5, 7, 9, 11, 13, 15,
                                    0, 2, 4, 6, 8, 10, 12, 14, 1, 3, 5, 7, 9, 11, 13, 15);
    __m256i p0 = __lasx_xvshuf_b(t0, t0, sh);
    __m256i p1 = __lasx_xvshuf_b(t1, t1, sh);
    __m256i lo = __lasx_xvpermi_q(p0, p1, 0x02);
    __m256i hi = __lasx_xvpermi_q(p0, p1, 0x13);

    a = __lasx_xvilvl_d(hi, lo);
    b = __lasx_xvilvh_d(hi, lo);
}

void fastDepthwiseConv( const int8_t* wptr,
                     int kernel_h, int kernel_w,
                     int stride_h, int stride_w,
                     int dilation_h, int dilation_w,
                     int pad_t, int pad_l,
                     const int* biasptr, const float* multptr,
                     const int8_t* inptr_,
                     int height, int width,
                     int* outptr_,
                     int out_d, int outH, int outW,
                     int inpZp, int outZp)
{
    const int8_t w00_ = wptr[0], w01_ = wptr[1], w02_ = wptr[2],
                 w10 = wptr[3], w11 = wptr[4], w12 = wptr[5],
                 w20_ = wptr[6], w21_ = wptr[7], w22_ = wptr[8];
    int outW1 = min(outW, (width - dilation_w*(kernel_w - 1) + pad_l)/stride_w);
    float mult = multptr[out_d];
    int bias = biasptr[out_d];
    int biasCopy;

    for (int out_i = 0; out_i < outH; out_i++)
    {
        int in_i = out_i * stride_h - pad_t, out_j = 0;
        const int8_t* imgptr0 = inptr_ + in_i*width;
        const int8_t* imgptr1 = imgptr0 + dilation_h*width;
        const int8_t* imgptr2 = imgptr0 + (dilation_h*2)*width;
        int8_t w00 = w00_, w01 = w01_, w02 = w02_;
        int8_t w20 = w20_, w21 = w21_, w22 = w22_;
        int out;
        biasCopy = bias;
        if (in_i < 0)
        {
            biasCopy += inpZp * (w00 + w01 + w02);
            w00 = w01 = w02 = 0;
            imgptr0 = imgptr1;
        }
        else if (in_i + dilation_h*(kernel_h-1) >= height)
        {
            biasCopy += inpZp * (w20 + w21 + w22);
            w20 = w21 = w22 = 0;
            imgptr2 = imgptr1;
        }
        int* outptr = outptr_ + out_i*outW;
        if (pad_l > 0)
        {
            out = (int)imgptr0[0]*w01 + (int)imgptr0[dilation_w]*w02 +
                  (int)imgptr1[0]*w11 + (int)imgptr1[dilation_w]*w12 +
                  (int)imgptr2[0]*w21 + (int)imgptr2[dilation_w]*w22 +
                  biasCopy + inpZp*(w00 + w10 + w20);
            outptr[0] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
            out_j = 1;
        }

        if (stride_w == 1 || (stride_w == 2 && dilation_w == 1))
        {
            const int VECSZ = 32;
            __m256i vw00 = __lasx_xvreplgr2vr_b(w00), vw01 = __lasx_xvreplgr2vr_b(w01), vw02 = __lasx_xvreplgr2vr_b(w02),
                    vw10 = __lasx_xvreplgr2vr_b(w10), vw11 = __lasx_xvreplgr2vr_b(w11), vw12 = __lasx_xvreplgr2vr_b(w12),
                    vw20 = __lasx_xvreplgr2vr_b(w20), vw21 = __lasx_xvreplgr2vr_b(w21), vw22 = __lasx_xvreplgr2vr_b(w22);
            __m256i vbias = __lasx_xvreplgr2vr_w(biasCopy), voutzp = __lasx_xvreplgr2vr_w(outZp),
                    outmin = __lasx_xvreplgr2vr_w(-128), outmax = __lasx_xvreplgr2vr_w(127);
            __m256 vmult = _v256_setall_ps(mult);
            __m256i vout0, vout1, vout2, vout3;

            if( stride_w == 1 )
            {
                for( ; out_j < outW1; out_j += VECSZ )
                {
                    if (out_j + VECSZ > outW1)
                    {
                        if (out_j <= pad_l)
                            break;
                        out_j = outW1 - VECSZ;
                    }
                    int in_j = out_j * stride_w - pad_l;
                    __m256i v00 = __lasx_xvld((const __m256i*)(imgptr0 + in_j), 0),
                            v01 = __lasx_xvld((const __m256i*)(imgptr0 + in_j + dilation_w), 0),
                            v02 = __lasx_xvld((const __m256i*)(imgptr0 + in_j + dilation_w*2), 0),
                            v10 = __lasx_xvld((const __m256i*)(imgptr1 + in_j), 0),
                            v11 = __lasx_xvld((const __m256i*)(imgptr1 + in_j + dilation_w), 0),
                            v12 = __lasx_xvld((const __m256i*)(imgptr1 + in_j + dilation_w*2), 0),
                            v20 = __lasx_xvld((const __m256i*)(imgptr2 + in_j), 0),
                            v21 = __lasx_xvld((const __m256i*)(imgptr2 + in_j + dilation_w), 0),
                            v22 = __lasx_xvld((const __m256i*)(imgptr2 + in_j + dilation_w*2), 0);

                    vout0 = vout1 = vout2 = vout3 = vbias;
                    _v256_expand_mul_add(v00, vw00, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v01, vw01, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v02, vw02, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v10, vw10, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v11, vw11, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v12, vw12, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v20, vw20, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v21, vw21, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v22, vw22, vout0, vout1, vout2, vout3);

                    vout0 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout0), vmult)));
                    vout1 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout1), vmult)));
                    vout2 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout2), vmult)));
                    vout3 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout3), vmult)));

                    vout0 = __lasx_xvmin_w(__lasx_xvmax_w(vout0, outmin), outmax);
                    vout1 = __lasx_xvmin_w(__lasx_xvmax_w(vout1, outmin), outmax);
                    vout2 = __lasx_xvmin_w(__lasx_xvmax_w(vout2, outmin), outmax);
                    vout3 = __lasx_xvmin_w(__lasx_xvmax_w(vout3, outmin), outmax);

                    __lasx_xvst(vout0, (__m256i*)(outptr + out_j), 0);
                    __lasx_xvst(vout1, (__m256i*)(outptr + out_j), 8*4);
                    __lasx_xvst(vout2, (__m256i*)(outptr + out_j), 16*4);
                    __lasx_xvst(vout3, (__m256i*)(outptr + out_j), 24*4);
                }
            }
            else
            {
                for( ; out_j < outW1; out_j += VECSZ )
                {
                    if (out_j + VECSZ > outW1)
                    {
                        if (out_j <= pad_l)
                            break;
                        out_j = outW1 - VECSZ;
                    }
                    int in_j = out_j * stride_w - pad_l;
                    __m256i v00, v01, v02, v10, v11, v12, v20, v21, v22, unused;
                    _v256_load_deinterleave(imgptr0 + in_j, v00, v01);
                    _v256_load_deinterleave(imgptr0 + in_j + 2, v02, unused);
                    _v256_load_deinterleave(imgptr1 + in_j, v10, v11);
                    _v256_load_deinterleave(imgptr1 + in_j + 2, v12, unused);
                    _v256_load_deinterleave(imgptr2 + in_j, v20, v21);
                    _v256_load_deinterleave(imgptr2 + in_j + 2, v22, unused);

                    vout0 = vout1 = vout2 = vout3 = vbias;
                    _v256_expand_mul_add(v00, vw00, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v01, vw01, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v02, vw02, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v10, vw10, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v11, vw11, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v12, vw12, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v20, vw20, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v21, vw21, vout0, vout1, vout2, vout3);
                    _v256_expand_mul_add(v22, vw22, vout0, vout1, vout2, vout3);

                    vout0 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout0), vmult)));
                    vout1 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout1), vmult)));
                    vout2 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout2), vmult)));
                    vout3 = __lasx_xvadd_w(voutzp, __lasx_xvftint_w_s(__lasx_xvfmul_s(__lasx_xvffint_s_w(vout3), vmult)));

                    vout0 = __lasx_xvmin_w(__lasx_xvmax_w(vout0, outmin), outmax);
                    vout1 = __lasx_xvmin_w(__lasx_xvmax_w(vout1, outmin), outmax);
                    vout2 = __lasx_xvmin_w(__lasx_xvmax_w(vout2, outmin), outmax);
                    vout3 = __lasx_xvmin_w(__lasx_xvmax_w(vout3, outmin), outmax);

                    __lasx_xvst(vout0, (__m256i*)(outptr + out_j), 0);
                    __lasx_xvst(vout1, (__m256i*)(outptr + out_j), 8*4);
                    __lasx_xvst(vout2, (__m256i*)(outptr + out_j), 16*4);
                    __lasx_xvst(vout3, (__m256i*)(outptr + out_j), 24*4);
                }
            }
        }

        for (; out_j < outW1; out_j++)
        {
            int in_j = out_j * stride_w - pad_l;
            out = (int)imgptr0[in_j]*w00 + (int)imgptr0[in_j + dilation_w]*w01 + (int)imgptr0[in_j + dilation_w*2]*w02 +
                  (int)imgptr1[in_j]*w10 + (int)imgptr1[in_j + dilation_w]*w11 + (int)imgptr1[in_j + dilation_w*2]*w12 +
                  (int)imgptr2[in_j]*w20 + (int)imgptr2[in_j + dilation_w]*w21 + (int)imgptr2[in_j + dilation_w*2]*w22 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }

        for (; out_j < outW; out_j++ )
        {
            int in_j0 = out_j * stride_w - pad_l, in_j1 = in_j0 + dilation_w, in_j2 = in_j0 + dilation_w*2;
            int s0 = 1, s1 = 1, s2 = 1;
            if (in_j0 >= width)
            {
                in_j0 = 0;
                s0 = 0;
                biasCopy += inpZp*(w00 + w10 + w20);
            }
            if (in_j1 >= width)
            {
                in_j1 = 0;
                s1 = 0;
                biasCopy += inpZp*(w01 + w11 + w21);
            }
            if (in_j2 >= width)
            {
                in_j2 = 0;
                s2 = 0;
                biasCopy += inpZp*(w02 + w12 + w22);
            }
            out = (int)imgptr0[in_j0]*w00*s0 + (int)imgptr0[in_j1]*w01*s1 + (int)imgptr0[in_j2]*w02*s2 +
                  (int)imgptr1[in_j0]*w10*s0 + (int)imgptr1[in_j1]*w11*s1 + (int)imgptr1[in_j2]*w12*s2 +
                  (int)imgptr2[in_j0]*w20*s0 + (int)imgptr2[in_j1]*w21*s1 + (int)imgptr2[in_j2]*w22*s2 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }
    }
}

// dst = vec * weights^t + bias
void fastGEMM1T( const int8_t* vec, const int8_t* weights,
                 size_t wstep, const int* bias, const float* multiplier,
                 int* dst, int nvecs, int vecsize, int outZp )
{
    int i = 0;

    for( ; i <= nvecs - 8; i += 8 )
    {
        const int8_t* wptr = weights + i*wstep;
        __m256i vs0 = __lasx_xvreplgr2vr_d(0), vs1 = __lasx_xvreplgr2vr_d(0),
                vs2 = __lasx_xvreplgr2vr_d(0), vs3 = __lasx_xvreplgr2vr_d(0),
                vs4 = __lasx_xvreplgr2vr_d(0), vs5 = __lasx_xvreplgr2vr_d(0),
                vs6 = __lasx_xvreplgr2vr_d(0), vs7 = __lasx_xvreplgr2vr_d(0);

        __m128i voutzp = __lsx_vreplgr2vr_w(outZp);
        __m128i outmin = __lsx_vreplgr2vr_w(-128), outmax = __lsx_vreplgr2vr_w(127);

        for( int k = 0; k < vecsize; k += 32, wptr += 32 )
        {
            __m256i v = __lasx_xvld((const __m256i*)(vec + k), 0);

            vs0 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)wptr, 0), v, vs0);
            vs1 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep), 0), v, vs1);
            vs2 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*2), 0), v, vs2);
            vs3 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*3), 0), v, vs3);
            vs4 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*4), 0), v, vs4);
            vs5 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*5), 0), v, vs5);
            vs6 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*6), 0), v, vs6);
            vs7 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)(wptr + wstep*7), 0), v, vs7);
        }

        /*s0*/
        __m256i vs0_hadd_w = __lasx_xvhaddw_d_w(vs0, vs0);
        __m256i vs0_hadd_d = __lasx_xvhaddw_q_d(vs0_hadd_w, vs0_hadd_w);

        __m256i vs1_hadd_w = __lasx_xvhaddw_d_w(vs1, vs1);
        __m256i vs1_hadd_d = __lasx_xvhaddw_q_d(vs1_hadd_w, vs1_hadd_w);

        __m256i vs2_hadd_w = __lasx_xvhaddw_d_w(vs2, vs2);
        __m256i vs2_hadd_d = __lasx_xvhaddw_q_d(vs2_hadd_w, vs2_hadd_w);

        __m256i vs3_hadd_w = __lasx_xvhaddw_d_w(vs3, vs3);
        __m256i vs3_hadd_d = __lasx_xvhaddw_q_d(vs3_hadd_w, vs3_hadd_w);

        __m256i vs1_vs0 = __lasx_xvpackev_w(vs1_hadd_d, vs0_hadd_d);
        __m256i vs3_vs2 = __lasx_xvpackev_w(vs3_hadd_d, vs2_hadd_d);
        __m256i      s0 = __lasx_xvpackev_d(vs3_vs2, vs1_vs0);

        /*s1*/
        __m256i vs4_hadd_w = __lasx_xvhaddw_d_w(vs4, vs4);
        __m256i vs4_hadd_d = __lasx_xvhaddw_q_d(vs4_hadd_w, vs4_hadd_w);

        __m256i vs5_hadd_w = __lasx_xvhaddw_d_w(vs5, vs5);
        __m256i vs5_hadd_d = __lasx_xvhaddw_q_d(vs5_hadd_w, vs5_hadd_w);

        __m256i vs6_hadd_w = __lasx_xvhaddw_d_w(vs6, vs6);
        __m256i vs6_hadd_d = __lasx_xvhaddw_q_d(vs6_hadd_w, vs6_hadd_w);

        __m256i vs7_hadd_w = __lasx_xvhaddw_d_w(vs7, vs7);
        __m256i vs7_hadd_d = __lasx_xvhaddw_q_d(vs7_hadd_w, vs7_hadd_w);

        __m256i vs5_vs4 = __lasx_xvpackev_w(vs5_hadd_d, vs4_hadd_d);
        __m256i vs7_vs6 = __lasx_xvpackev_w(vs7_hadd_d, vs6_hadd_d);
        __m256i      s1 = __lasx_xvpackev_d(vs7_vs6, vs5_vs4);

        s0 = __lasx_xvadd_w(s0, __lasx_xvpermi_q(s0, s0, 1));
        s1 = __lasx_xvadd_w(s1, __lasx_xvpermi_q(s1, s1, 1));

        __m128i t0 = __lsx_vadd_w(*(__m128i*)(&s0), __lsx_vld((__m128i*)(bias + i), 0));
        __m128i t1 = __lsx_vadd_w(*(__m128i*)(&s1), __lsx_vld((__m128i*)(bias + i), 4*4));

        t0 = __lsx_vadd_w(voutzp, __lsx_vftint_w_s(__lsx_vfmul_s(__lsx_vffint_s_w(t0), (__m128)__lsx_vld(multiplier + i, 0))));
        t1 = __lsx_vadd_w(voutzp, __lsx_vftint_w_s(__lsx_vfmul_s(__lsx_vffint_s_w(t1), (__m128)__lsx_vld(multiplier + i, 4*4))));

        t0 = __lsx_vmin_w(__lsx_vmax_w(t0, outmin), outmax);
        t1 = __lsx_vmin_w(__lsx_vmax_w(t1, outmin), outmax);

        __lsx_vst(t0, (__m128i*)(dst + i), 0);
        __lsx_vst(t1, (__m128i*)(dst + i), 4*4);
    }

    for( ; i < nvecs; i++ )
    {
        const int8_t* wptr = weights + i*wstep;
        __m256i vs0 = __lasx_xvreplgr2vr_d(0);

        for( int k = 0; k < vecsize; k += 32, wptr += 32 )
        {
            __m256i v = __lasx_xvld((const __m256i*)(vec + k), 0);
                  vs0 = _v256_fmadds8_s32(__lasx_xvld((const __m256i*)wptr, 0), v, vs0);
        }

        __m256i s0_hadd_w = __lasx_xvhaddw_d_w(vs0, vs0);
        int temp = ((v4i64)s0_hadd_w)[0] + ((v4i64)s0_hadd_w)[1] + ((v4i64)s0_hadd_w)[2] + ((v4i64)s0_hadd_w)[3];
        dst[i] = outZp + (int)std::round((temp + bias[i]) * multiplier[i]);
    }

}
#endif // CV_LASX

#if !defined(CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY) && CV_RVV

static const size_t __cv_rvv_e8m1_max = __riscv_vsetvlmax_e8m1();
static const size_t __cv_rvv_e16m1_max = __riscv_vsetvlmax_e16m1();
static const size_t __cv_rvv_e32m2_max = __riscv_vsetvlmax_e32m2();

inline vint32m2_t __riscv_vwmacc_vv_i32m2(vint32m2_t& dst, const vint8m1_t& a, const vint8m1_t& b, size_t vl) {
    vint16m2_t tmp = __riscv_vwmul(a, b, vl);
    dst = __riscv_vwadd_wv_i32m2_tu(dst, dst, __riscv_vget_i16m1(tmp, 0), vl);
    dst = __riscv_vwadd_wv_i32m2_tu(dst, dst, __riscv_vget_i16m1(tmp, 1), vl > __cv_rvv_e16m1_max ? vl - __cv_rvv_e16m1_max : 0);
    return dst;
}

enum { FASCONV_BASE_VECSZ = 4 };
void fastConv( const int8_t* weights, size_t wstep, const int* bias,
               const int8_t* rowbuf, int* output, const int* outShape,
               int blockSize, int vecsize, int vecsize_aligned, int outZp,
               const float* multiplier, bool initOutput, bool finalOutput )
{
    const size_t e8m1 = __cv_rvv_e8m1_max;
    int outCn = outShape[1];
    size_t outPlaneSize = outShape[2]*outShape[3];
    // now compute dot product of the weights
    // and im2row-transformed part of the tensor
    for( int i = 0; i < outCn; i += 3 )
    {
        int unroll_tail = FASCONV_BASE_VECSZ;
        const int8_t* wptr0 = weights + i*wstep;
        const int8_t* wptr1 = wptr0 + wstep;
        const int8_t* wptr2 = wptr1 + wstep;
        int* outptr0 = output + i*outPlaneSize;
        int* outptr1 = outptr0 + outPlaneSize;
        int* outptr2 = outptr1 + outPlaneSize;
        int bias0 = bias[i], bias1 = bias[i+1], bias2 = bias[i+2];
        float mult0 = multiplier[i], mult1 = multiplier[i+1], mult2 = multiplier[i+2];

        if( i+2 >= outCn )
        {
            wptr2 = wptr1;
            outptr2 = outptr1;
            bias2 = bias1;
            mult2 = mult1;
            if( i+1 >= outCn )
            {
                wptr2 = wptr1 = wptr0;
                outptr2 = outptr1 = outptr0;
                bias2 = bias1 = bias0;
                mult2 = mult1 = mult0;
            }
        }

        int j = 0;
        for( ; j < blockSize; j += FASCONV_BASE_VECSZ )
        {
            const int8_t* rptr = rowbuf + j*vecsize_aligned;
            const int8_t *rptr1 = rptr + vecsize_aligned*1,
                        *rptr2 = rptr + vecsize_aligned*2,
                        *rptr3 = rptr + vecsize_aligned*3;

            if (j + FASCONV_BASE_VECSZ > blockSize)
            {
                unroll_tail = blockSize - j;
                rptr1 = rptr + vecsize_aligned*std::min(1, unroll_tail-1);
                rptr2 = rptr + vecsize_aligned*std::min(2, unroll_tail-1);
                rptr3 = rptr + vecsize_aligned*std::min(3, unroll_tail-1);
            }

            int vl, avl = vecsize;

            vint32m2_t
                vs00 = __riscv_vmv_v_x_i32m2(0, e8m1), vs10 = __riscv_vmv_v_x_i32m2(0, e8m1), vs20 = __riscv_vmv_v_x_i32m2(0, e8m1),
                vs01 = __riscv_vmv_v_x_i32m2(0, e8m1), vs11 = __riscv_vmv_v_x_i32m2(0, e8m1), vs21 = __riscv_vmv_v_x_i32m2(0, e8m1),
                vs02 = __riscv_vmv_v_x_i32m2(0, e8m1), vs12 = __riscv_vmv_v_x_i32m2(0, e8m1), vs22 = __riscv_vmv_v_x_i32m2(0, e8m1),
                vs03 = __riscv_vmv_v_x_i32m2(0, e8m1), vs13 = __riscv_vmv_v_x_i32m2(0, e8m1), vs23 = __riscv_vmv_v_x_i32m2(0, e8m1);
            for (int k = 0; k < vecsize; k += vl, avl -= vl)
            {
                vl = __riscv_vsetvl_e8m1(avl);

                vint8m1_t w0 = (__riscv_vle8_v_i8m1(wptr0 + k, vl));
                vint8m1_t w1 = (__riscv_vle8_v_i8m1(wptr1 + k, vl));
                vint8m1_t w2 = (__riscv_vle8_v_i8m1(wptr2 + k, vl));
                vint8m1_t r0 = (__riscv_vle8_v_i8m1(rptr, vl));


                vs00 = __riscv_vwmacc_vv_i32m2(vs00, w0, r0, vl);
                vs10 = __riscv_vwmacc_vv_i32m2(vs10, w1, r0, vl);
                vs20 = __riscv_vwmacc_vv_i32m2(vs20, w2, r0, vl);

                r0 = (__riscv_vle8_v_i8m1(rptr1, vl));
                vs01 = __riscv_vwmacc_vv_i32m2(vs01, w0, r0, vl);
                vs11 = __riscv_vwmacc_vv_i32m2(vs11, w1, r0, vl);
                vs21 = __riscv_vwmacc_vv_i32m2(vs21, w2, r0, vl);

                r0 = (__riscv_vle8_v_i8m1(rptr2, vl));
                vs02 = __riscv_vwmacc_vv_i32m2(vs02, w0, r0, vl);
                vs12 = __riscv_vwmacc_vv_i32m2(vs12, w1, r0, vl);
                vs22 = __riscv_vwmacc_vv_i32m2(vs22, w2, r0, vl);

                r0 = (__riscv_vle8_v_i8m1(rptr3, vl));
                vs03 = __riscv_vwmacc_vv_i32m2(vs03, w0, r0, vl);
                vs13 = __riscv_vwmacc_vv_i32m2(vs13, w1, r0, vl);
                vs23 = __riscv_vwmacc_vv_i32m2(vs23, w2, r0, vl);

                rptr += vl;  rptr1 += vl; rptr2 += vl; rptr3 += vl;
            }

            // compute sum of each vs
            vint32m1_t zero = __riscv_vmv_v_x_i32m1(0, e8m1);
            int sum0[FASCONV_BASE_VECSZ], sum1[FASCONV_BASE_VECSZ], sum2[FASCONV_BASE_VECSZ];

            sum0[0] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs00, zero, e8m1));
            sum0[1] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs01, zero, e8m1));
            sum0[2] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs02, zero, e8m1));
            sum0[3] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs03, zero, e8m1));

            sum1[0] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs10, zero, e8m1));
            sum1[1] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs11, zero, e8m1));
            sum1[2] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs12, zero, e8m1));
            sum1[3] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs13, zero, e8m1));

            sum2[0] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs20, zero, e8m1));
            sum2[1] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs21, zero, e8m1));
            sum2[2] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs22, zero, e8m1));
            sum2[3] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs23, zero, e8m1));

            vint32m1_t s0, s1, s2;
            if( initOutput )
            {
                s0 = __riscv_vmv_v_x_i32m1(bias0, unroll_tail);
                s1 = __riscv_vmv_v_x_i32m1(bias1, unroll_tail);
                s2 = __riscv_vmv_v_x_i32m1(bias2, unroll_tail);
            }
            else
            {
                s0 = __riscv_vle32_v_i32m1(outptr0 + j, unroll_tail);
                s1 = __riscv_vle32_v_i32m1(outptr1 + j, unroll_tail);
                s2 = __riscv_vle32_v_i32m1(outptr2 + j, unroll_tail);
            }
            s0 = __riscv_vadd(__riscv_vle32_v_i32m1(sum0, unroll_tail), s0, unroll_tail);
            s1 = __riscv_vadd(__riscv_vle32_v_i32m1(sum1, unroll_tail), s1, unroll_tail);
            s2 = __riscv_vadd(__riscv_vle32_v_i32m1(sum2, unroll_tail), s2, unroll_tail);

            if( finalOutput )
            {
                s0 = __riscv_vadd(__riscv_vfcvt_x_f_v_i32m1(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m1(s0, unroll_tail), mult0, unroll_tail), unroll_tail), outZp, unroll_tail);
                s1 = __riscv_vadd(__riscv_vfcvt_x_f_v_i32m1(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m1(s1, unroll_tail), mult1, unroll_tail), unroll_tail), outZp, unroll_tail);
                s2 = __riscv_vadd(__riscv_vfcvt_x_f_v_i32m1(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m1(s2, unroll_tail), mult2, unroll_tail), unroll_tail), outZp, unroll_tail);

                s0 = __riscv_vmin(__riscv_vmax(s0, -128, unroll_tail), 127, unroll_tail);
                s1 = __riscv_vmin(__riscv_vmax(s1, -128, unroll_tail), 127, unroll_tail);
                s2 = __riscv_vmin(__riscv_vmax(s2, -128, unroll_tail), 127, unroll_tail);
            }

            __riscv_vse32(outptr0 + j, s0, unroll_tail);
            __riscv_vse32(outptr1 + j, s1, unroll_tail);
            __riscv_vse32(outptr2 + j, s2, unroll_tail);
        }
    }
}

void fastDepthwiseConv( const int8_t* wptr,
                     int kernel_h, int kernel_w,
                     int stride_h, int stride_w,
                     int dilation_h, int dilation_w,
                     int pad_t, int pad_l,
                     const int* biasptr, const float* multptr,
                     const int8_t* inptr_,
                     int height, int width,
                     int* outptr_,
                     int out_d, int outH, int outW,
                     int inpZp, int outZp)
{
    int vl;
    const int8_t w00_ = wptr[0], w01_ = wptr[1], w02_ = wptr[2],
                w10 = wptr[3], w11 = wptr[4], w12 = wptr[5],
                w20_ = wptr[6], w21_ = wptr[7], w22_ = wptr[8];
    int outW1 = std::min(outW, (width - dilation_w*(kernel_w - 1) + pad_l)/stride_w);
    float mult = multptr[out_d];
    int bias = biasptr[out_d];
    int biasCopy;

    for (int out_i = 0; out_i < outH; out_i++)
    {
        int in_i = out_i * stride_h - pad_t, out_j = 0;
        const int8_t* imgptr0 = inptr_ + in_i*width;
        const int8_t* imgptr1 = imgptr0 + dilation_h*width;
        const int8_t* imgptr2 = imgptr0 + (dilation_h*2)*width;
        int8_t  w00 = w00_, w01 = w01_, w02 = w02_;
        int8_t w20 = w20_, w21 = w21_, w22 = w22_;
        int out, out1;
        biasCopy = bias;
        if (in_i < 0)
        {
            biasCopy += inpZp * (w00 + w01 + w02);
            w00 = w01 = w02 = 0;
            imgptr0 = imgptr1;
        }
        else if (in_i + dilation_h*(kernel_h-1) >= height)
        {
            biasCopy += inpZp * (w20 + w21 + w22);
            w20 = w21 = w22 = 0;
            imgptr2 = imgptr1;
        }
        int* outptr = outptr_ + out_i*outW;
        if (pad_l > 0)
        {
            out = (int)imgptr0[0]*w01 + (int)imgptr0[dilation_w]*w02 +
                  (int)imgptr1[0]*w11 + (int)imgptr1[dilation_w]*w12 +
                  (int)imgptr2[0]*w21 + (int)imgptr2[dilation_w]*w22 +
                  biasCopy + inpZp*(w00 + w10 + w20);
            out1 = outZp + (int)std::round(out*mult);
            outptr[0] = std::min(std::max(out1, -128), 127);
            out_j = 1;
        }
        if (stride_w == 1 || (stride_w == 2 && dilation_w == 1))
        {
            int avl = outW1 - out_j;
            if( stride_w == 1 )
                for( ; out_j < outW1; out_j += vl, avl -= vl)
                {
                    vl = __riscv_vsetvl_e8m2(avl);
                    int in_j = out_j * stride_w - pad_l;

                    vint32m8_t vout = __riscv_vmv_v_x_i32m8(biasCopy, vl);
                    vout = __riscv_vwmacc(vout, w00, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr0 + in_j               , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w01, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr0 + in_j + dilation_w  , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w02, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr0 + in_j + dilation_w*2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w10, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr1 + in_j               , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w11, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr1 + in_j + dilation_w  , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w12, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr1 + in_j + dilation_w*2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w20, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr2 + in_j               , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w21, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr2 + in_j + dilation_w  , vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w22, __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(imgptr2 + in_j + dilation_w*2, vl), vl), vl);

                    vout = __riscv_vfcvt_x(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m8(vout, vl), mult, vl), vl);
                    vout = __riscv_vadd(vout, outZp, vl);
                    vout = __riscv_vmin(__riscv_vmax(vout, -128, vl), 127, vl);

                    __riscv_vse32_v_i32m8(outptr + out_j, vout, vl);

                }
            else //stride_w == 2 && dilation_w == 1;
            {
                for( ; out_j < outW1; out_j += vl, avl -= vl)
                {
                    vl = __riscv_vsetvl_e8m2(avl);
                    int in_j = out_j * stride_w - pad_l;

                    vint32m8_t vout = __riscv_vmv_v_x_i32m8(biasCopy, vl);

                    vout = __riscv_vwmacc(vout, w00, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr0+in_j  , 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w01, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr0+in_j+1, 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w02, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr0+in_j+2, 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w10, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr1+in_j  , 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w11, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr1+in_j+1, 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w12, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr1+in_j+2, 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w20, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr2+in_j  , 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w21, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr2+in_j+1, 2, vl), vl), vl);
                    vout = __riscv_vwmacc(vout, w22, __riscv_vwcvt_x_x_v_i16m4(__riscv_vlse8_v_i8m2(imgptr2+in_j+2, 2, vl), vl), vl);

                    vout = __riscv_vfcvt_x(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m8(vout, vl), mult, vl), vl);
                    vout = __riscv_vadd(vout, outZp, vl);
                    vout = __riscv_vmin(__riscv_vmax(vout, -128, vl), 127, vl);

                    __riscv_vse32_v_i32m8(outptr + out_j, vout, vl);
                }
            }
        }

        for (; out_j < outW1; out_j++)
        {
            int in_j = out_j * stride_w - pad_l;
            out = (int)imgptr0[in_j]*w00 + (int)imgptr0[in_j + dilation_w]*w01 + (int)imgptr0[in_j + dilation_w*2]*w02 +
                  (int)imgptr1[in_j]*w10 + (int)imgptr1[in_j + dilation_w]*w11 + (int)imgptr1[in_j + dilation_w*2]*w12 +
                  (int)imgptr2[in_j]*w20 + (int)imgptr2[in_j + dilation_w]*w21 + (int)imgptr2[in_j + dilation_w*2]*w22 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }

        for (; out_j < outW; out_j++ )
        {
            int in_j0 = out_j * stride_w - pad_l, in_j1 = in_j0 + dilation_w, in_j2 = in_j0 + dilation_w*2;
            int s0 = 1, s1 = 1, s2 = 1;
            if (in_j0 >= width)
            {
                in_j0 = 0;
                s0 = 0;
                biasCopy += inpZp*(w00 + w10 + w20);
            }
            if (in_j1 >= width)
            {
                in_j1 = 0;
                s1 = 0;
                biasCopy += inpZp*(w01 + w11 + w21);
            }
            if (in_j2 >= width)
            {
                in_j2 = 0;
                s2 = 0;
                biasCopy += inpZp*(w02 + w12 + w22);
            }
            out = (int)imgptr0[in_j0]*w00*s0 + (int)imgptr0[in_j1]*w01*s1 + (int)imgptr0[in_j2]*w02*s2 +
                  (int)imgptr1[in_j0]*w10*s0 + (int)imgptr1[in_j1]*w11*s1 + (int)imgptr1[in_j2]*w12*s2 +
                  (int)imgptr2[in_j0]*w20*s0 + (int)imgptr2[in_j1]*w21*s1 + (int)imgptr2[in_j2]*w22*s2 + biasCopy;
            outptr[out_j] = std::min(std::max(outZp + (int)std::round(out*mult), -128), 127);
        }
    }
}

void fastGEMM1T( const int8_t* vec, const int8_t* weights,
                 size_t wstep, const int* bias, const float* multiplier,
                 int* dst, int nvecs, int vecsize, int outZp )
{
    int i = 0;
    for( ; i <= nvecs - 15; i += 15 )
    {
        const int8_t* wptr = weights + i*wstep;
        vint32m2_t
               vs0 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs1 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs2 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs3 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs4 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs5 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs6 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs7 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs8 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs9 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs10 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs11 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs12 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs13 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs14 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max);
        int avl = vecsize, vl;
        for(int k = 0 ; k < vecsize; k += vl, wptr += vl, avl -= vl)
        {
            vl = __riscv_vsetvl_e8m1(avl);
            vint8m1_t v = __riscv_vle8_v_i8m1(vec + k, vl);

            vs0 = __riscv_vwmacc_vv_i32m2(vs0, __riscv_vle8_v_i8m1(wptr, vl), v, vl);
            vs1 = __riscv_vwmacc_vv_i32m2(vs1, __riscv_vle8_v_i8m1(wptr + wstep, vl), v, vl);
            vs2 = __riscv_vwmacc_vv_i32m2(vs2, __riscv_vle8_v_i8m1(wptr + wstep*2, vl), v, vl);
            vs3 = __riscv_vwmacc_vv_i32m2(vs3, __riscv_vle8_v_i8m1(wptr + wstep*3, vl), v, vl);
            vs4 = __riscv_vwmacc_vv_i32m2(vs4, __riscv_vle8_v_i8m1(wptr + wstep*4, vl), v, vl);
            vs5 = __riscv_vwmacc_vv_i32m2(vs5, __riscv_vle8_v_i8m1(wptr + wstep*5, vl), v, vl);
            vs6 = __riscv_vwmacc_vv_i32m2(vs6, __riscv_vle8_v_i8m1(wptr + wstep*6, vl), v, vl);
            vs7 = __riscv_vwmacc_vv_i32m2(vs7, __riscv_vle8_v_i8m1(wptr + wstep*7, vl), v, vl);
            vs8 = __riscv_vwmacc_vv_i32m2(vs8, __riscv_vle8_v_i8m1(wptr + wstep*8, vl), v, vl);
            vs9 = __riscv_vwmacc_vv_i32m2(vs9, __riscv_vle8_v_i8m1(wptr + wstep*9, vl), v, vl);
            vs10 = __riscv_vwmacc_vv_i32m2(vs10, __riscv_vle8_v_i8m1(wptr + wstep*10, vl), v, vl);
            vs11 = __riscv_vwmacc_vv_i32m2(vs11, __riscv_vle8_v_i8m1(wptr + wstep*11, vl), v, vl);
            vs12 = __riscv_vwmacc_vv_i32m2(vs12, __riscv_vle8_v_i8m1(wptr + wstep*12, vl), v, vl);
            vs13 = __riscv_vwmacc_vv_i32m2(vs13, __riscv_vle8_v_i8m1(wptr + wstep*13, vl), v, vl);
            vs14 = __riscv_vwmacc_vv_i32m2(vs14, __riscv_vle8_v_i8m1(wptr + wstep*14, vl), v, vl);
        }

        int sum[15];
        vint32m1_t zero = __riscv_vmv_v_x_i32m1(0, __cv_rvv_e32m2_max);
        sum[0] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs0, zero, __cv_rvv_e32m2_max));
        sum[1] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs1, zero, __cv_rvv_e32m2_max));
        sum[2] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs2, zero, __cv_rvv_e32m2_max));
        sum[3] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs3, zero, __cv_rvv_e32m2_max));
        sum[4] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs4, zero, __cv_rvv_e32m2_max));
        sum[5] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs5, zero, __cv_rvv_e32m2_max));
        sum[6] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs6, zero, __cv_rvv_e32m2_max));
        sum[7] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs7, zero, __cv_rvv_e32m2_max));
        sum[8] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs8, zero, __cv_rvv_e32m2_max));
        sum[9] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs9, zero, __cv_rvv_e32m2_max));
        sum[10] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs10, zero, __cv_rvv_e32m2_max));
        sum[11] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs11, zero, __cv_rvv_e32m2_max));
        sum[12] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs12, zero, __cv_rvv_e32m2_max));
        sum[13] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs13, zero, __cv_rvv_e32m2_max));
        sum[14] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs14, zero, __cv_rvv_e32m2_max));

        vint32m4_t s0 = __riscv_vadd(__riscv_vle32_v_i32m4(sum, 15), __riscv_vle32_v_i32m4(bias + i, 15), 15);

        s0 = __riscv_vfcvt_x(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m4(s0, 15), __riscv_vle32_v_f32m4(multiplier + i, 15), 15), 15);
        s0 = __riscv_vadd(s0, outZp, 15);
        s0 = __riscv_vmin(__riscv_vmax(s0, -128, 15), 127, 15);
        __riscv_vse32_v_i32m4(dst + i, s0, 15);
    }
    int unroll_tail = nvecs - i;
    if (unroll_tail > 0)
    {
        const int8_t* wptr = weights + i*wstep;
        vint32m2_t
               vs0 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs1 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs2 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs3 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs4 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs5 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs6 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs7 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs8 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs9 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs10 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs11 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max),
               vs12 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max), vs13 = __riscv_vmv_v_x_i32m2(0, __cv_rvv_e32m2_max);
        int avl = vecsize, vl;
        for(int k = 0 ; k < vecsize; k += vl, wptr += vl, avl -= vl)
        {
            vl = __riscv_vsetvl_e8m1(avl);
            vint8m1_t v = __riscv_vle8_v_i8m1(vec + k, vl);

            vs0 = __riscv_vwmacc_vv_i32m2(vs0, __riscv_vle8_v_i8m1(wptr, vl), v, vl);
            vs1 = __riscv_vwmacc_vv_i32m2(vs1, __riscv_vle8_v_i8m1(wptr + wstep*std::min(1, unroll_tail-1), vl), v, vl);
            vs2 = __riscv_vwmacc_vv_i32m2(vs2, __riscv_vle8_v_i8m1(wptr + wstep*std::min(2, unroll_tail-1), vl), v, vl);
            vs3 = __riscv_vwmacc_vv_i32m2(vs3, __riscv_vle8_v_i8m1(wptr + wstep*std::min(3, unroll_tail-1), vl), v, vl);
            vs4 = __riscv_vwmacc_vv_i32m2(vs4, __riscv_vle8_v_i8m1(wptr + wstep*std::min(4, unroll_tail-1), vl), v, vl);
            vs5 = __riscv_vwmacc_vv_i32m2(vs5, __riscv_vle8_v_i8m1(wptr + wstep*std::min(5, unroll_tail-1), vl), v, vl);
            vs6 = __riscv_vwmacc_vv_i32m2(vs6, __riscv_vle8_v_i8m1(wptr + wstep*std::min(6, unroll_tail-1), vl), v, vl);
            vs7 = __riscv_vwmacc_vv_i32m2(vs7, __riscv_vle8_v_i8m1(wptr + wstep*std::min(7, unroll_tail-1), vl), v, vl);
            vs8 = __riscv_vwmacc_vv_i32m2(vs8, __riscv_vle8_v_i8m1(wptr + wstep*std::min(8, unroll_tail-1), vl), v, vl);
            vs9 = __riscv_vwmacc_vv_i32m2(vs9, __riscv_vle8_v_i8m1(wptr + wstep*std::min(9, unroll_tail-1), vl), v, vl);
            vs10 = __riscv_vwmacc_vv_i32m2(vs10, __riscv_vle8_v_i8m1(wptr + wstep*std::min(10, unroll_tail-1), vl), v, vl);
            vs11 = __riscv_vwmacc_vv_i32m2(vs11, __riscv_vle8_v_i8m1(wptr + wstep*std::min(11, unroll_tail-1), vl), v, vl);
            vs13 = __riscv_vwmacc_vv_i32m2(vs13, __riscv_vle8_v_i8m1(wptr + wstep*std::min(12, unroll_tail-1), vl), v, vl);
            vs12 = __riscv_vwmacc_vv_i32m2(vs12, __riscv_vle8_v_i8m1(wptr + wstep*std::min(13, unroll_tail-1), vl), v, vl);
        }

        int sum[14];
        vint32m1_t zero = __riscv_vmv_v_x_i32m1(0, __cv_rvv_e32m2_max);
        sum[0] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs0, zero, __cv_rvv_e32m2_max));
        sum[1] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs1, zero, __cv_rvv_e32m2_max));
        sum[2] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs2, zero, __cv_rvv_e32m2_max));
        sum[3] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs3, zero, __cv_rvv_e32m2_max));
        sum[4] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs4, zero, __cv_rvv_e32m2_max));
        sum[5] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs5, zero, __cv_rvv_e32m2_max));
        sum[6] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs6, zero, __cv_rvv_e32m2_max));
        sum[7] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs7, zero, __cv_rvv_e32m2_max));
        sum[8] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs8, zero, __cv_rvv_e32m2_max));
        sum[9] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs9, zero, __cv_rvv_e32m2_max));
        sum[10] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs10, zero, __cv_rvv_e32m2_max));
        sum[11] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs11, zero, __cv_rvv_e32m2_max));
        sum[12] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs12, zero, __cv_rvv_e32m2_max));
        sum[13] = __riscv_vmv_x(__riscv_vredsum_vs_i32m2_i32m1(vs13, zero, __cv_rvv_e32m2_max));

        vint32m4_t s0 = __riscv_vadd(__riscv_vle32_v_i32m4(sum, unroll_tail), __riscv_vle32_v_i32m4(bias + i, unroll_tail), unroll_tail);

        s0 = __riscv_vfcvt_x(__riscv_vfmul(__riscv_vfcvt_f_x_v_f32m4(s0, unroll_tail), __riscv_vle32_v_f32m4(multiplier + i, unroll_tail), unroll_tail), unroll_tail);
        s0 = __riscv_vadd(s0, outZp, unroll_tail);
        s0 = __riscv_vmin(__riscv_vmax(s0, -128, unroll_tail), 127, unroll_tail);
        __riscv_vse32_v_i32m4(dst + i, s0, unroll_tail);
    }
}

#endif // CV_RVV

CV_CPU_OPTIMIZATION_NAMESPACE_END
}} // namespace
