// Copyright 2023 Tencent
// SPDX-License-Identifier: BSD-3-Clause

static void convolution_transform_kernel_packed_bf16s(const Mat& kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
{
    const int maxk = kernel_w * kernel_h;

    // src = kw-kh-inch-outch
    // dst = pb-pa-kw-kh-inch/pa-outch/pb

    // clang-format off
    // *INDENT-OFF*
#if __ARM_NEON
#if __aarch64__
    if (outch >= 8)
    {
        if (inch >= 8)
            kernel_tm.create(8 * 8 * maxk, inch / 8 + (inch % 8) / 4 + (inch % 4) / 2 + inch % 2, outch / 8 + (outch % 8) / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else if (inch >= 4)
            kernel_tm.create(8 * 4 * maxk, inch / 4 + (inch % 4) / 2 + inch % 2, outch / 8 + (outch % 8) / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else if (inch >= 2)
            kernel_tm.create(8 * 2 * maxk, inch / 2 + inch % 2, outch / 8 + (outch % 8) / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else
            kernel_tm.create(8 * maxk, inch, outch / 8 + (outch % 8) / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
    }
    else
#endif // __aarch64__
    if (outch >= 4)
    {
#if __aarch64__
        if (inch >= 8)
            kernel_tm.create(4 * 8 * maxk, inch / 8 + (inch % 8) / 4 + (inch % 4) / 2 + inch % 2, outch / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else
#endif // __aarch64__
        if (inch >= 4)
            kernel_tm.create(4 * 4 * maxk, inch / 4 + (inch % 4) / 2 + inch % 2, outch / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else if (inch >= 2)
            kernel_tm.create(4 * 2 * maxk, inch / 2 + inch % 2, outch / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
        else
            kernel_tm.create(4 * maxk, inch, outch / 4 + (outch % 4) / 2 + outch % 2, (size_t)2u);
    }
    else
#endif // __ARM_NEON
    if (outch >= 2)
    {
#if __ARM_NEON
#if __aarch64__
        if (inch >= 8)
            kernel_tm.create(2 * 8 * maxk, inch / 8 + (inch % 8) / 4 + (inch % 4) / 2 + inch % 2, outch / 2 + outch % 2, (size_t)2u);
        else
#endif // __aarch64__
        if (inch >= 4)
            kernel_tm.create(2 * 4 * maxk, inch / 4 + (inch % 4) / 2 + inch % 2, outch / 2 + outch % 2, (size_t)2u);
        else
#endif // __ARM_NEON
        if (inch >= 2)
            kernel_tm.create(2 * 2 * maxk, inch / 2 + inch % 2, outch / 2 + outch % 2, (size_t)2u);
        else
            kernel_tm.create(2 * maxk, inch, outch / 2 + outch % 2, (size_t)2u);
    }
    else
    {
#if __ARM_NEON
#if __aarch64__
        if (inch >= 8)
            kernel_tm.create(8 * maxk, inch / 8 + (inch % 8) / 4 + (inch % 4) / 2 + inch % 2, outch, (size_t)2u);
        else
#endif // __aarch64__
        if (inch >= 4)
            kernel_tm.create(4 * maxk, inch / 4 + (inch % 4) / 2 + inch % 2, outch, (size_t)2u);
        else
#endif // __ARM_NEON
        if (inch >= 2)
            kernel_tm.create(2 * maxk, inch / 2 + inch % 2, outch, (size_t)2u);
        else
            kernel_tm.create(maxk, inch, outch, (size_t)2u);
    }
    // *INDENT-ON*
    // clang-format on

    int q = 0;
#if __ARM_NEON
#if __aarch64__
    for (; q + 7 < outch; q += 8)
    {
        const float* kptr0 = (const float*)kernel + q * inch * maxk;
        const float* kptr1 = (const float*)kernel + (q + 1) * inch * maxk;
        const float* kptr2 = (const float*)kernel + (q + 2) * inch * maxk;
        const float* kptr3 = (const float*)kernel + (q + 3) * inch * maxk;
        const float* kptr4 = (const float*)kernel + (q + 4) * inch * maxk;
        const float* kptr5 = (const float*)kernel + (q + 5) * inch * maxk;
        const float* kptr6 = (const float*)kernel + (q + 6) * inch * maxk;
        const float* kptr7 = (const float*)kernel + (q + 7) * inch * maxk;

        unsigned short* g00 = kernel_tm.channel(q / 8);

        int p = 0;
        for (; p + 7 < inch; p += 8)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;
                const float* k4 = kptr4 + p * maxk;
                const float* k5 = kptr5 + p * maxk;
                const float* k6 = kptr6 + p * maxk;
                const float* k7 = kptr7 + p * maxk;

                for (int i = 0; i < 8; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    g00[4] = float32_to_bfloat16(k4[k]);
                    g00[5] = float32_to_bfloat16(k5[k]);
                    g00[6] = float32_to_bfloat16(k6[k]);
                    g00[7] = float32_to_bfloat16(k7[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    k4 += maxk;
                    k5 += maxk;
                    k6 += maxk;
                    k7 += maxk;
                    g00 += 8;
                }
            }
        }
        for (; p + 3 < inch; p += 4)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;
                const float* k4 = kptr4 + p * maxk;
                const float* k5 = kptr5 + p * maxk;
                const float* k6 = kptr6 + p * maxk;
                const float* k7 = kptr7 + p * maxk;

                for (int i = 0; i < 4; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    g00[4] = float32_to_bfloat16(k4[k]);
                    g00[5] = float32_to_bfloat16(k5[k]);
                    g00[6] = float32_to_bfloat16(k6[k]);
                    g00[7] = float32_to_bfloat16(k7[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    k4 += maxk;
                    k5 += maxk;
                    k6 += maxk;
                    k7 += maxk;
                    g00 += 8;
                }
            }
        }
        for (; p + 1 < inch; p += 2)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;
                const float* k4 = kptr4 + p * maxk;
                const float* k5 = kptr5 + p * maxk;
                const float* k6 = kptr6 + p * maxk;
                const float* k7 = kptr7 + p * maxk;

                for (int i = 0; i < 2; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    g00[4] = float32_to_bfloat16(k4[k]);
                    g00[5] = float32_to_bfloat16(k5[k]);
                    g00[6] = float32_to_bfloat16(k6[k]);
                    g00[7] = float32_to_bfloat16(k7[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    k4 += maxk;
                    k5 += maxk;
                    k6 += maxk;
                    k7 += maxk;
                    g00 += 8;
                }
            }
        }
        for (; p < inch; p++)
        {
            const float* k0 = kptr0 + p * maxk;
            const float* k1 = kptr1 + p * maxk;
            const float* k2 = kptr2 + p * maxk;
            const float* k3 = kptr3 + p * maxk;
            const float* k4 = kptr4 + p * maxk;
            const float* k5 = kptr5 + p * maxk;
            const float* k6 = kptr6 + p * maxk;
            const float* k7 = kptr7 + p * maxk;

            for (int k = 0; k < maxk; k++)
            {
                g00[0] = float32_to_bfloat16(k0[k]);
                g00[1] = float32_to_bfloat16(k1[k]);
                g00[2] = float32_to_bfloat16(k2[k]);
                g00[3] = float32_to_bfloat16(k3[k]);
                g00[4] = float32_to_bfloat16(k4[k]);
                g00[5] = float32_to_bfloat16(k5[k]);
                g00[6] = float32_to_bfloat16(k6[k]);
                g00[7] = float32_to_bfloat16(k7[k]);
                g00 += 8;
            }
        }
    }
#endif // __aarch64__
    for (; q + 3 < outch; q += 4)
    {
        const float* kptr0 = (const float*)kernel + q * inch * maxk;
        const float* kptr1 = (const float*)kernel + (q + 1) * inch * maxk;
        const float* kptr2 = (const float*)kernel + (q + 2) * inch * maxk;
        const float* kptr3 = (const float*)kernel + (q + 3) * inch * maxk;

#if __aarch64__
        unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4);
#else
        unsigned short* g00 = kernel_tm.channel(q / 4);
#endif

        int p = 0;
#if __aarch64__
        for (; p + 7 < inch; p += 8)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;

                for (int i = 0; i < 8; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    g00 += 4;
                }
            }
        }
#endif // __aarch64__
        for (; p + 3 < inch; p += 4)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;

                for (int i = 0; i < 4; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    g00 += 4;
                }
            }
        }
        for (; p + 1 < inch; p += 2)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;
                const float* k2 = kptr2 + p * maxk;
                const float* k3 = kptr3 + p * maxk;

                for (int i = 0; i < 2; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    g00[2] = float32_to_bfloat16(k2[k]);
                    g00[3] = float32_to_bfloat16(k3[k]);
                    k0 += maxk;
                    k1 += maxk;
                    k2 += maxk;
                    k3 += maxk;
                    g00 += 4;
                }
            }
        }
        for (; p < inch; p++)
        {
            const float* k0 = kptr0 + p * maxk;
            const float* k1 = kptr1 + p * maxk;
            const float* k2 = kptr2 + p * maxk;
            const float* k3 = kptr3 + p * maxk;

            for (int k = 0; k < maxk; k++)
            {
                g00[0] = float32_to_bfloat16(k0[k]);
                g00[1] = float32_to_bfloat16(k1[k]);
                g00[2] = float32_to_bfloat16(k2[k]);
                g00[3] = float32_to_bfloat16(k3[k]);
                g00 += 4;
            }
        }
    }
#endif // __ARM_NEON
    for (; q + 1 < outch; q += 2)
    {
        const float* kptr0 = (const float*)kernel + q * inch * maxk;
        const float* kptr1 = (const float*)kernel + (q + 1) * inch * maxk;

#if __aarch64__
        unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4 + (q % 4) / 2);
#elif __ARM_NEON
        unsigned short* g00 = kernel_tm.channel(q / 4 + (q % 4) / 2);
#else
        unsigned short* g00 = kernel_tm.channel(q / 2);
#endif

        int p = 0;
#if __ARM_NEON
#if __aarch64__
        for (; p + 7 < inch; p += 8)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk + k;
                const float* k1 = kptr1 + p * maxk + k;

                g00[0] = float32_to_bfloat16(k0[0]);
                g00[1] = float32_to_bfloat16(k0[maxk]);
                g00[2] = float32_to_bfloat16(k0[maxk * 2]);
                g00[3] = float32_to_bfloat16(k0[maxk * 3]);
                g00[4] = float32_to_bfloat16(k0[maxk * 4]);
                g00[5] = float32_to_bfloat16(k0[maxk * 5]);
                g00[6] = float32_to_bfloat16(k0[maxk * 6]);
                g00[7] = float32_to_bfloat16(k0[maxk * 7]);
                g00[8] = float32_to_bfloat16(k1[0]);
                g00[9] = float32_to_bfloat16(k1[maxk]);
                g00[10] = float32_to_bfloat16(k1[maxk * 2]);
                g00[11] = float32_to_bfloat16(k1[maxk * 3]);
                g00[12] = float32_to_bfloat16(k1[maxk * 4]);
                g00[13] = float32_to_bfloat16(k1[maxk * 5]);
                g00[14] = float32_to_bfloat16(k1[maxk * 6]);
                g00[15] = float32_to_bfloat16(k1[maxk * 7]);
                g00 += 16;
            }
        }
#endif // __aarch64__
        for (; p + 3 < inch; p += 4)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk + k;
                const float* k1 = kptr1 + p * maxk + k;

                g00[0] = float32_to_bfloat16(k0[0]);
                g00[1] = float32_to_bfloat16(k0[maxk]);
                g00[2] = float32_to_bfloat16(k0[maxk * 2]);
                g00[3] = float32_to_bfloat16(k0[maxk * 3]);
                g00[4] = float32_to_bfloat16(k1[0]);
                g00[5] = float32_to_bfloat16(k1[maxk]);
                g00[6] = float32_to_bfloat16(k1[maxk * 2]);
                g00[7] = float32_to_bfloat16(k1[maxk * 3]);
                g00 += 8;
            }
        }
#endif // __ARM_NEON
        for (; p + 1 < inch; p += 2)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr0 + p * maxk;
                const float* k1 = kptr1 + p * maxk;

                for (int i = 0; i < 2; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    g00[1] = float32_to_bfloat16(k1[k]);
                    k0 += maxk;
                    k1 += maxk;
                    g00 += 2;
                }
            }
        }
        for (; p < inch; p++)
        {
            const float* k0 = kptr0 + p * maxk;
            const float* k1 = kptr1 + p * maxk;

            for (int k = 0; k < maxk; k++)
            {
                g00[0] = float32_to_bfloat16(k0[k]);
                g00[1] = float32_to_bfloat16(k1[k]);
                g00 += 2;
            }
        }
    }
    for (; q < outch; q++)
    {
        const float* kptr = (const float*)kernel + q * inch * maxk;

#if __aarch64__
        unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4 + (q % 4) / 2 + q % 2);
#elif __ARM_NEON
        unsigned short* g00 = kernel_tm.channel(q / 4 + (q % 4) / 2 + q % 2);
#else
        unsigned short* g00 = kernel_tm.channel(q / 2 + q % 2);
#endif

        int p = 0;
#if __ARM_NEON
#if __aarch64__
        for (; p + 7 < inch; p += 8)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr + p * maxk;

                for (int i = 0; i < 8; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    k0 += maxk;
                    g00 += 1;
                }
            }
        }
#endif // __aarch64__
        for (; p + 3 < inch; p += 4)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr + p * maxk;

                for (int i = 0; i < 4; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    k0 += maxk;
                    g00 += 1;
                }
            }
        }
#endif // __ARM_NEON
        for (; p + 1 < inch; p += 2)
        {
            for (int k = 0; k < maxk; k++)
            {
                const float* k0 = kptr + p * maxk;

                for (int i = 0; i < 2; i++)
                {
                    g00[0] = float32_to_bfloat16(k0[k]);
                    k0 += maxk;
                    g00 += 1;
                }
            }
        }
        for (; p < inch; p++)
        {
            const float* k0 = kptr + p * maxk;

            for (int k = 0; k < maxk; k++)
            {
                g00[0] = float32_to_bfloat16(k0[k]);
                g00++;
            }
        }
    }
}

static void convolution_packed_bf16s(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_tm, const Mat& bias_data, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
    const int w = bottom_blob.w;
    const int elempack = bottom_blob.elempack;
    const int inch = bottom_blob.c * elempack;

    const size_t N = bottom_blob.cstep * elempack;

    const int outw = top_blob.w;
    const int outh = top_blob.h;
    const int out_elempack = top_blob.elempack;
    const int outch = top_blob.c * out_elempack;

    const size_t M = top_blob.cstep * out_elempack;

    const int maxk = kernel_w * kernel_h;

    // kernel offsets
    std::vector<int> _space_ofs(maxk);
    int* space_ofs = &_space_ofs[0];
    {
        int p1 = 0;
        int p2 = 0;
        int gap = w * dilation_h - kernel_w * dilation_w;
        for (int i = 0; i < kernel_h; i++)
        {
            for (int j = 0; j < kernel_w; j++)
            {
                space_ofs[p1] = p2 * elempack;
                p1++;
                p2 += dilation_w;
            }
            p2 += gap;
        }
    }

    const float* bias_data_ptr = bias_data;

    int nn_outch = 0;
    int remain_outch_start = 0;
#if __ARM_NEON
#if __aarch64__
    nn_outch = (outch - remain_outch_start) / 8;
    #pragma omp parallel for num_threads(opt.num_threads)
    for (int pp = 0; pp < nn_outch; pp++)
    {
        const int p = remain_outch_start + pp * 8;

        // shadowed variable for less openmp task args
        const int elempack = bottom_blob.elempack;
        const int inch = bottom_blob.c * elempack;
        const int outw = top_blob.w;
        const int outh = top_blob.h;
        const int out_elempack = top_blob.elempack;

        unsigned short* outptr = top_blob.channel(p / out_elempack);

        for (int i = 0; i < outh; i++)
        {
            for (int j = 0; j < outw; j++)
            {
                float32x4_t _sum0 = vdupq_n_f32(0.f);
                float32x4_t _sum1 = vdupq_n_f32(0.f);
                float32x4_t _sum2 = vdupq_n_f32(0.f);
                float32x4_t _sum3 = vdupq_n_f32(0.f);
                float32x4_t _sum4 = vdupq_n_f32(0.f);
                float32x4_t _sum5 = vdupq_n_f32(0.f);
                float32x4_t _sum6 = vdupq_n_f32(0.f);
                float32x4_t _sum7 = vdupq_n_f32(0.f);

                if (bias_data_ptr)
                {
                    _sum0 = vld1q_f32(bias_data_ptr + p);
                    _sum1 = vld1q_f32(bias_data_ptr + p + 4);
                }

                const unsigned short* kptr = weight_data_tm.channel(p / 8);

                int q = 0;
                for (; q + 7 < inch; q += 8)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        float32x4_t _r1;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                            _r1 = bfloat2float(vld1_u16(r0 + sok + N));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x8_t _r_u16 = uint16x8_t();
                            _r_u16 = vsetq_lane_u16(r0[sok], _r_u16, 0);
                            _r_u16 = vsetq_lane_u16(r0[sok + N], _r_u16, 1);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 2], _r_u16, 2);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 3], _r_u16, 3);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 4], _r_u16, 4);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 5], _r_u16, 5);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 6], _r_u16, 6);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 7], _r_u16, 7);
                            _r0 = bfloat2float(vget_low_u16(_r_u16));
                            _r1 = bfloat2float(vget_high_u16(_r_u16));
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        uint16x8_t _w45 = vld1q_u16(kptr + 16);
                        uint16x8_t _w67 = vld1q_u16(kptr + 24);
                        uint16x8_t _w89 = vld1q_u16(kptr + 32);
                        uint16x8_t _wab = vld1q_u16(kptr + 40);
                        uint16x8_t _wcd = vld1q_u16(kptr + 48);
                        uint16x8_t _wef = vld1q_u16(kptr + 56);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
                        float32x4_t _w4 = bfloat2float(vget_low_u16(_w45));
                        float32x4_t _w5 = bfloat2float(vget_high_u16(_w45));
                        float32x4_t _w6 = bfloat2float(vget_low_u16(_w67));
                        float32x4_t _w7 = bfloat2float(vget_high_u16(_w67));
                        float32x4_t _w8 = bfloat2float(vget_low_u16(_w89));
                        float32x4_t _w9 = bfloat2float(vget_high_u16(_w89));
                        float32x4_t _wa = bfloat2float(vget_low_u16(_wab));
                        float32x4_t _wb = bfloat2float(vget_high_u16(_wab));
                        float32x4_t _wc = bfloat2float(vget_low_u16(_wcd));
                        float32x4_t _wd = bfloat2float(vget_high_u16(_wcd));
                        float32x4_t _we = bfloat2float(vget_low_u16(_wef));
                        float32x4_t _wf = bfloat2float(vget_high_u16(_wef));
                        _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 0);
                        _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 1);
                        _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 1);
                        _sum4 = vfmaq_laneq_f32(_sum4, _w4, _r0, 2);
                        _sum5 = vfmaq_laneq_f32(_sum5, _w5, _r0, 2);
                        _sum6 = vfmaq_laneq_f32(_sum6, _w6, _r0, 3);
                        _sum7 = vfmaq_laneq_f32(_sum7, _w7, _r0, 3);
                        _sum0 = vfmaq_laneq_f32(_sum0, _w8, _r1, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w9, _r1, 0);
                        _sum2 = vfmaq_laneq_f32(_sum2, _wa, _r1, 1);
                        _sum3 = vfmaq_laneq_f32(_sum3, _wb, _r1, 1);
                        _sum4 = vfmaq_laneq_f32(_sum4, _wc, _r1, 2);
                        _sum5 = vfmaq_laneq_f32(_sum5, _wd, _r1, 2);
                        _sum6 = vfmaq_laneq_f32(_sum6, _we, _r1, 3);
                        _sum7 = vfmaq_laneq_f32(_sum7, _wf, _r1, 3);

                        kptr += 64;
                    }
                }
                for (; q + 3 < inch; q += 4)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x4_t _r_u16 = uint16x4_t();
                            _r_u16 = vset_lane_u16(r0[sok], _r_u16, 0);
                            _r_u16 = vset_lane_u16(r0[sok + N], _r_u16, 1);
                            _r_u16 = vset_lane_u16(r0[sok + N * 2], _r_u16, 2);
                            _r_u16 = vset_lane_u16(r0[sok + N * 3], _r_u16, 3);
                            _r0 = bfloat2float(_r_u16);
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        uint16x8_t _w45 = vld1q_u16(kptr + 16);
                        uint16x8_t _w67 = vld1q_u16(kptr + 24);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
                        float32x4_t _w4 = bfloat2float(vget_low_u16(_w45));
                        float32x4_t _w5 = bfloat2float(vget_high_u16(_w45));
                        float32x4_t _w6 = bfloat2float(vget_low_u16(_w67));
                        float32x4_t _w7 = bfloat2float(vget_high_u16(_w67));
                        _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 0);
                        _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 1);
                        _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 1);
                        _sum4 = vfmaq_laneq_f32(_sum4, _w4, _r0, 2);
                        _sum5 = vfmaq_laneq_f32(_sum5, _w5, _r0, 2);
                        _sum6 = vfmaq_laneq_f32(_sum6, _w6, _r0, 3);
                        _sum7 = vfmaq_laneq_f32(_sum7, _w7, _r0, 3);

                        kptr += 32;
                    }
                }
                for (; q + 1 < inch; q += 2)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float val0;
                        float val1;
                        // if (elempack == 1)
                        {
                            val0 = bfloat16_to_float32(r0[sok]);
                            val1 = bfloat16_to_float32(r0[sok + N]);
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
                        _sum0 = vfmaq_n_f32(_sum0, _w0, val0);
                        _sum1 = vfmaq_n_f32(_sum1, _w1, val0);
                        _sum2 = vfmaq_n_f32(_sum2, _w2, val1);
                        _sum3 = vfmaq_n_f32(_sum3, _w3, val1);

                        kptr += 16;
                    }
                }
                for (; q < inch; q++)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        float32x4_t _val;
                        // if (elempack == 1)
                        {
                            _val = bfloat2float(vdup_n_u16(r0[space_ofs[k]]));
                        }

                        uint16x8_t _w = vld1q_u16(kptr);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w));
                        _sum0 = vfmaq_f32(_sum0, _w0, _val);
                        _sum1 = vfmaq_f32(_sum1, _w1, _val);

                        kptr += 8;
                    }
                }

                _sum0 = vaddq_f32(_sum0, _sum2);
                _sum1 = vaddq_f32(_sum1, _sum3);
                _sum4 = vaddq_f32(_sum4, _sum6);
                _sum5 = vaddq_f32(_sum5, _sum7);
                _sum0 = vaddq_f32(_sum0, _sum4);
                _sum1 = vaddq_f32(_sum1, _sum5);

                _sum0 = activation_ps(_sum0, activation_type, activation_params);
                _sum1 = activation_ps(_sum1, activation_type, activation_params);

                if (out_elempack == 4)
                {
                    vst1_u16(outptr, float2bfloat(_sum0));
                    vst1_u16(outptr + M, float2bfloat(_sum1));
                    outptr += 4;
                }
                else // if (out_elempack == 1)
                {
                    uint16x4_t _sum0_u16 = float2bfloat(_sum0);
                    uint16x4_t _sum1_u16 = float2bfloat(_sum1);
                    outptr[0] = vget_lane_u16(_sum0_u16, 0);
                    outptr[M] = vget_lane_u16(_sum0_u16, 1);
                    outptr[M * 2] = vget_lane_u16(_sum0_u16, 2);
                    outptr[M * 3] = vget_lane_u16(_sum0_u16, 3);
                    outptr[M * 4] = vget_lane_u16(_sum1_u16, 0);
                    outptr[M * 5] = vget_lane_u16(_sum1_u16, 1);
                    outptr[M * 6] = vget_lane_u16(_sum1_u16, 2);
                    outptr[M * 7] = vget_lane_u16(_sum1_u16, 3);
                    outptr += 1;
                }
            }
        }
    }
    remain_outch_start += nn_outch * 8;
    nn_outch = (outch - remain_outch_start) / 4;
#else // __aarch64__
    nn_outch = (outch - remain_outch_start) / 4;
    #pragma omp parallel for num_threads(opt.num_threads)
#endif // __aarch64__
    for (int pp = 0; pp < nn_outch; pp++)
    {
        const int p = remain_outch_start + pp * 4;

        // shadowed variable for less openmp task args
        const int elempack = bottom_blob.elempack;
        const int inch = bottom_blob.c * elempack;
        const int outw = top_blob.w;
        const int outh = top_blob.h;
        const int out_elempack = top_blob.elempack;

        unsigned short* outptr = top_blob.channel(p / out_elempack);

        for (int i = 0; i < outh; i++)
        {
            for (int j = 0; j < outw; j++)
            {
                float32x4_t _sum0 = vdupq_n_f32(0.f);
                float32x4_t _sum1 = vdupq_n_f32(0.f);
                float32x4_t _sum2 = vdupq_n_f32(0.f);
                float32x4_t _sum3 = vdupq_n_f32(0.f);

                if (bias_data_ptr)
                {
                    _sum0 = vld1q_f32(bias_data_ptr + p);
                }

#if __aarch64__
                const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4);
#else
                const unsigned short* kptr = weight_data_tm.channel(p / 4);
#endif

                int q = 0;
#if __aarch64__
                for (; q + 7 < inch; q += 8)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        float32x4_t _r1;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                            _r1 = bfloat2float(vld1_u16(r0 + sok + N));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x8_t _r_u16 = uint16x8_t();
                            _r_u16 = vsetq_lane_u16(r0[sok], _r_u16, 0);
                            _r_u16 = vsetq_lane_u16(r0[sok + N], _r_u16, 1);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 2], _r_u16, 2);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 3], _r_u16, 3);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 4], _r_u16, 4);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 5], _r_u16, 5);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 6], _r_u16, 6);
                            _r_u16 = vsetq_lane_u16(r0[sok + N * 7], _r_u16, 7);
                            _r0 = bfloat2float(vget_low_u16(_r_u16));
                            _r1 = bfloat2float(vget_high_u16(_r_u16));
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        uint16x8_t _w45 = vld1q_u16(kptr + 16);
                        uint16x8_t _w67 = vld1q_u16(kptr + 24);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
                        float32x4_t _w4 = bfloat2float(vget_low_u16(_w45));
                        float32x4_t _w5 = bfloat2float(vget_high_u16(_w45));
                        float32x4_t _w6 = bfloat2float(vget_low_u16(_w67));
                        float32x4_t _w7 = bfloat2float(vget_high_u16(_w67));
                        _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 1);
                        _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 2);
                        _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 3);
                        _sum0 = vfmaq_laneq_f32(_sum0, _w4, _r1, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w5, _r1, 1);
                        _sum2 = vfmaq_laneq_f32(_sum2, _w6, _r1, 2);
                        _sum3 = vfmaq_laneq_f32(_sum3, _w7, _r1, 3);

                        kptr += 32;
                    }
                }
#endif // __aarch64__
                for (; q + 3 < inch; q += 4)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x4_t _r_u16 = uint16x4_t();
                            _r_u16 = vset_lane_u16(r0[sok], _r_u16, 0);
                            _r_u16 = vset_lane_u16(r0[sok + N], _r_u16, 1);
                            _r_u16 = vset_lane_u16(r0[sok + N * 2], _r_u16, 2);
                            _r_u16 = vset_lane_u16(r0[sok + N * 3], _r_u16, 3);
                            _r0 = bfloat2float(_r_u16);
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
#if __aarch64__
                        _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0);
                        _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 1);
                        _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 2);
                        _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 3);
#else
                        _sum0 = vmlaq_lane_f32(_sum0, _w0, vget_low_f32(_r0), 0);
                        _sum1 = vmlaq_lane_f32(_sum1, _w1, vget_low_f32(_r0), 1);
                        _sum2 = vmlaq_lane_f32(_sum2, _w2, vget_high_f32(_r0), 0);
                        _sum3 = vmlaq_lane_f32(_sum3, _w3, vget_high_f32(_r0), 1);
#endif

                        kptr += 16;
                    }
                }
                for (; q + 1 < inch; q += 2)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float val0;
                        float val1;
                        // if (elempack == 1)
                        {
                            val0 = bfloat16_to_float32(r0[sok]);
                            val1 = bfloat16_to_float32(r0[sok + N]);
                        }

                        uint16x8_t _w = vld1q_u16(kptr);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w));
#if __aarch64__
                        _sum0 = vfmaq_n_f32(_sum0, _w0, val0);
                        _sum1 = vfmaq_n_f32(_sum1, _w1, val1);
#else
                        _sum0 = vmlaq_n_f32(_sum0, _w0, val0);
                        _sum1 = vmlaq_n_f32(_sum1, _w1, val1);
#endif

                        kptr += 8;
                    }
                }
                for (; q < inch; q++)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        float32x4_t _val;
                        // if (elempack == 1)
                        {
                            _val = bfloat2float(vdup_n_u16(r0[space_ofs[k]]));
                        }

                        float32x4_t _w = bfloat2float(vld1_u16(kptr));
#if __aarch64__
                        _sum0 = vfmaq_f32(_sum0, _val, _w);
#else
                        _sum0 = vmlaq_f32(_sum0, _val, _w);
#endif

                        kptr += 4;
                    }
                }

                _sum0 = vaddq_f32(_sum0, _sum1);
                _sum2 = vaddq_f32(_sum2, _sum3);
                _sum0 = vaddq_f32(_sum0, _sum2);

                _sum0 = activation_ps(_sum0, activation_type, activation_params);

                if (out_elempack == 4)
                {
                    vst1_u16(outptr, float2bfloat(_sum0));
                    outptr += 4;
                }
                else // if (out_elempack == 1)
                {
                    uint16x4_t _sum0_u16 = float2bfloat(_sum0);
                    outptr[0] = vget_lane_u16(_sum0_u16, 0);
                    outptr[M] = vget_lane_u16(_sum0_u16, 1);
                    outptr[M * 2] = vget_lane_u16(_sum0_u16, 2);
                    outptr[M * 3] = vget_lane_u16(_sum0_u16, 3);
                    outptr += 1;
                }
            }
        }
    }
    remain_outch_start += nn_outch * 4;
    nn_outch = (outch - remain_outch_start) / 2;
#else // __ARM_NEON
    nn_outch = (outch - remain_outch_start) / 2;
    #pragma omp parallel for num_threads(opt.num_threads)
#endif // __ARM_NEON
    for (int pp = 0; pp < nn_outch; pp++)
    {
        const int p = remain_outch_start + pp * 2;

        // shadowed variable for less openmp task args
        const int elempack = bottom_blob.elempack;
        const int inch = bottom_blob.c * elempack;
        const int outw = top_blob.w;
        const int outh = top_blob.h;

        unsigned short* outptr0 = top_blob.channel(p);
        unsigned short* outptr1 = top_blob.channel(p + 1);

        for (int i = 0; i < outh; i++)
        {
            for (int j = 0; j < outw; j++)
            {
                float sum0 = 0.f;
                float sum1 = 0.f;

                if (bias_data_ptr)
                {
                    sum0 = bias_data_ptr[p];
                    sum1 = bias_data_ptr[p + 1];
                }

#if __aarch64__
                const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4 + (p % 4) / 2);
#elif __ARM_NEON
                const unsigned short* kptr = weight_data_tm.channel(p / 4 + (p % 4) / 2);
#else
                const unsigned short* kptr = weight_data_tm.channel(p / 2);
#endif

                int q = 0;
#if __ARM_NEON
#if __aarch64__
                float32x4_t _sum0 = vdupq_n_f32(0.f);
                float32x4_t _sum1 = vdupq_n_f32(0.f);
                float32x4_t _sum2 = vdupq_n_f32(0.f);
                float32x4_t _sum3 = vdupq_n_f32(0.f);
                for (; q + 7 < inch; q += 8)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        float32x4_t _r1;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                            _r1 = bfloat2float(vld1_u16(r0 + sok + N));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x8_t _r01_u16 = uint16x8_t();
                            _r01_u16 = vsetq_lane_u16(r0[sok], _r01_u16, 0);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N], _r01_u16, 1);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 2], _r01_u16, 2);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 3], _r01_u16, 3);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 4], _r01_u16, 4);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 5], _r01_u16, 5);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 6], _r01_u16, 6);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 7], _r01_u16, 7);
                            _r0 = bfloat2float(vget_low_u16(_r01_u16));
                            _r1 = bfloat2float(vget_high_u16(_r01_u16));
                        }

                        uint16x8_t _w01 = vld1q_u16(kptr);
                        uint16x8_t _w23 = vld1q_u16(kptr + 8);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w01));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w01));
                        float32x4_t _w2 = bfloat2float(vget_low_u16(_w23));
                        float32x4_t _w3 = bfloat2float(vget_high_u16(_w23));
                        _sum0 = vfmaq_f32(_sum0, _r0, _w0);
                        _sum1 = vfmaq_f32(_sum1, _r1, _w1);
                        _sum2 = vfmaq_f32(_sum2, _r0, _w2);
                        _sum3 = vfmaq_f32(_sum3, _r1, _w3);

                        kptr += 16;
                    }
                }
                _sum0 = vaddq_f32(_sum0, _sum1);
                _sum2 = vaddq_f32(_sum2, _sum3);
                sum0 += vaddvq_f32(_sum0);
                sum1 += vaddvq_f32(_sum2);
                _sum0 = vdupq_n_f32(0.f);
                _sum1 = vdupq_n_f32(0.f);
#else  // __aarch64__
                float32x4_t _sum0 = vdupq_n_f32(0.f);
                float32x4_t _sum1 = vdupq_n_f32(0.f);
#endif // __aarch64__
                for (; q + 3 < inch; q += 4)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x4_t _r0_u16 = uint16x4_t();
                            _r0_u16 = vset_lane_u16(r0[sok], _r0_u16, 0);
                            _r0_u16 = vset_lane_u16(r0[sok + N], _r0_u16, 1);
                            _r0_u16 = vset_lane_u16(r0[sok + N * 2], _r0_u16, 2);
                            _r0_u16 = vset_lane_u16(r0[sok + N * 3], _r0_u16, 3);
                            _r0 = bfloat2float(_r0_u16);
                        }

                        uint16x8_t _w = vld1q_u16(kptr);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w));
#if __aarch64__
                        _sum0 = vfmaq_f32(_sum0, _r0, _w0);
                        _sum1 = vfmaq_f32(_sum1, _r0, _w1);
#else
                        _sum0 = vmlaq_f32(_sum0, _r0, _w0);
                        _sum1 = vmlaq_f32(_sum1, _r0, _w1);
#endif

                        kptr += 8;
                    }
                }
#if __aarch64__
                sum0 += vaddvq_f32(_sum0);
                sum1 += vaddvq_f32(_sum1);
#else
                float32x2_t _ss0 = vadd_f32(vget_low_f32(_sum0), vget_high_f32(_sum0));
                float32x2_t _ss1 = vadd_f32(vget_low_f32(_sum1), vget_high_f32(_sum1));
                float32x2_t _ss = vpadd_f32(_ss0, _ss1);
                sum0 += vget_lane_f32(_ss, 0);
                sum1 += vget_lane_f32(_ss, 1);
#endif
#endif // __ARM_NEON
                for (; q + 1 < inch; q += 2)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float val0;
                        float val1;
                        // if (elempack == 1)
                        {
                            val0 = bfloat16_to_float32(r0[sok]);
                            val1 = bfloat16_to_float32(r0[sok + N]);
                        }

                        sum0 += val0 * bfloat16_to_float32(kptr[0]);
                        sum1 += val0 * bfloat16_to_float32(kptr[1]);
                        sum0 += val1 * bfloat16_to_float32(kptr[2]);
                        sum1 += val1 * bfloat16_to_float32(kptr[3]);

                        kptr += 4;
                    }
                }
                for (; q < inch; q++)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        float val;
                        // if (elempack == 1)
                        {
                            val = bfloat16_to_float32(r0[space_ofs[k]]);
                        }

                        sum0 += val * bfloat16_to_float32(kptr[0]);
                        sum1 += val * bfloat16_to_float32(kptr[1]);

                        kptr += 2;
                    }
                }

                sum0 = activation_ss(sum0, activation_type, activation_params);
                sum1 = activation_ss(sum1, activation_type, activation_params);

                outptr0[0] = float32_to_bfloat16(sum0);
                outptr1[0] = float32_to_bfloat16(sum1);
                outptr0 += 1;
                outptr1 += 1;
            }
        }
    }
    remain_outch_start += nn_outch * 2;
    for (int p = remain_outch_start; p < outch; p++)
    {
        unsigned short* outptr = top_blob.channel(p);

        for (int i = 0; i < outh; i++)
        {
            for (int j = 0; j < outw; j++)
            {
                float sum = 0.f;

                if (bias_data_ptr)
                {
                    sum = bias_data_ptr[p];
                }

#if __aarch64__
                const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4 + (p % 4) / 2 + p % 2);
#elif __ARM_NEON
                const unsigned short* kptr = weight_data_tm.channel(p / 4 + (p % 4) / 2 + p % 2);
#else
                const unsigned short* kptr = weight_data_tm.channel(p / 2 + p % 2);
#endif

                int q = 0;
#if __ARM_NEON
#if __aarch64__
                float32x4_t _sum0 = vdupq_n_f32(0.f);
                float32x4_t _sum1 = vdupq_n_f32(0.f);
                for (; q + 7 < inch; q += 8)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        float32x4_t _r1;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                            _r1 = bfloat2float(vld1_u16(r0 + sok + N));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x8_t _r01_u16 = uint16x8_t();
                            _r01_u16 = vsetq_lane_u16(r0[sok], _r01_u16, 0);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N], _r01_u16, 1);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 2], _r01_u16, 2);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 3], _r01_u16, 3);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 4], _r01_u16, 4);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 5], _r01_u16, 5);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 6], _r01_u16, 6);
                            _r01_u16 = vsetq_lane_u16(r0[sok + N * 7], _r01_u16, 7);
                            _r0 = bfloat2float(vget_low_u16(_r01_u16));
                            _r1 = bfloat2float(vget_high_u16(_r01_u16));
                        }

                        uint16x8_t _w = vld1q_u16(kptr);
                        float32x4_t _w0 = bfloat2float(vget_low_u16(_w));
                        float32x4_t _w1 = bfloat2float(vget_high_u16(_w));
                        _sum0 = vfmaq_f32(_sum0, _r0, _w0);
                        _sum1 = vfmaq_f32(_sum1, _r1, _w1);

                        kptr += 8;
                    }
                }
                _sum0 = vaddq_f32(_sum0, _sum1);
                sum += vaddvq_f32(_sum0);
#endif // __aarch64__
                float32x4_t _sum = vdupq_n_f32(0.f);
                for (; q + 3 < inch; q += 4)
                {
                    const unsigned short* r0 = bottom_blob.channel(q / elempack).row<const unsigned short>(i * stride_h) + j * stride_w * elempack;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float32x4_t _r0;
                        if (elempack == 4)
                        {
                            _r0 = bfloat2float(vld1_u16(r0 + sok));
                        }
                        else // if (elempack == 1)
                        {
                            uint16x4_t _r0_u16 = uint16x4_t();
                            _r0_u16 = vset_lane_u16(r0[sok], _r0_u16, 0);
                            _r0_u16 = vset_lane_u16(r0[sok + N], _r0_u16, 1);
                            _r0_u16 = vset_lane_u16(r0[sok + N * 2], _r0_u16, 2);
                            _r0_u16 = vset_lane_u16(r0[sok + N * 3], _r0_u16, 3);
                            _r0 = bfloat2float(_r0_u16);
                        }

                        float32x4_t _w = bfloat2float(vld1_u16(kptr));
#if __aarch64__
                        _sum = vfmaq_f32(_sum, _r0, _w);
#else
                        _sum = vmlaq_f32(_sum, _r0, _w);
#endif

                        kptr += 4;
                    }
                }
#if __aarch64__
                sum += vaddvq_f32(_sum);
#else
                float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
                _ss = vpadd_f32(_ss, _ss);
                sum += vget_lane_f32(_ss, 0);
#endif
#endif // __ARM_NEON
                for (; q + 1 < inch; q += 2)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        const int sok = space_ofs[k];
                        float val0;
                        float val1;
                        // if (elempack == 1)
                        {
                            val0 = bfloat16_to_float32(r0[sok]);
                            val1 = bfloat16_to_float32(r0[sok + N]);
                        }

                        sum += val0 * bfloat16_to_float32(kptr[0]);
                        sum += val1 * bfloat16_to_float32(kptr[1]);

                        kptr += 2;
                    }
                }
                for (; q < inch; q++)
                {
                    const unsigned short* r0 = bottom_blob.channel(q).row<const unsigned short>(i * stride_h) + j * stride_w;

                    for (int k = 0; k < maxk; k++)
                    {
                        float val;
                        // if (elempack == 1)
                        {
                            val = bfloat16_to_float32(r0[space_ofs[k]]);
                        }

                        sum += val * bfloat16_to_float32(kptr[0]);

                        kptr += 1;
                    }
                }

                sum = activation_ss(sum, activation_type, activation_params);

                outptr[0] = float32_to_bfloat16(sum);
                outptr += 1;
            }
        }
    }
}
