text: // Tencent is pleased to support the open source community by making ncnn available.
  //
  // Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
  //
  // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  // in compliance with the License. You may obtain a copy of the License at
  //
  // https://opensource.org/licenses/BSD-3-Clause
  //
  // Unless required by applicable law or agreed to in writing, software distributed
  // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  // CONDITIONS OF ANY KIND, either express or implied. See the License for the
  // specific language governing permissions and limitations under the License.
  
  #include "binaryop_x86.h"
  
  #if __SSE2__
  #include "sse_mathfun.h"
  #if __AVX__
  #include "avx_mathfun.h"
  #endif // __AVX__
  #endif // __SSE2__
  
  #include <math.h>
  
  namespace ncnn {
  
  BinaryOp_x86::BinaryOp_x86()
  {
  #if __SSE2__
      support_packing = true;
  #endif // __SSE2__
  }
  
  #if __SSE2__
  #if __AVX__
  // broadcasting rule
  // https://github.com/Tencent/ncnn/wiki/binaryop-broadcasting
  
  template<typename Op>
  static int binary_op_pack8(const Mat& a, const Mat& b, Mat& c, const Option& opt)
  {
      Op op;
  
      int w = a.w;
      int h = a.h;
      int channels = a.c;
      int size = w * h;
      size_t elemsize = a.elemsize;
      int elempack = a.elempack;
  
      int w1 = b.w;
      int h1 = b.h;
      int channels1 = b.c;
      int size1 = w1 * h1;
      size_t elemsize1 = b.elemsize;
      int elempack1 = b.elempack;
  
      if (a.dims == 3)
      {
          if (b.dims == 3)
          {
              if (w1 == 1 && h1 == 1 && channels1 == channels)
              {
                  // special type 1
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* b0 = b.channel(q);
                      float* outptr = c.channel(q);
                      __m256 _b0 = _mm256_loadu_ps(b0);
                      for (int i = 0; i < size; i++)
                      {
                          __m256 _p = _mm256_loadu_ps(ptr);
                          __m256 _outp = op(_p, _b0);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr += 8;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 == h && channels1 == 1 && elempack1 == 1)
              {
                  // special type 2
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b;
                      float* outptr = c.channel(q);
                      for (int i = 0; i < size; i++)
                      {
                          __m256 _p = _mm256_loadu_ps(ptr);
                          __m256 _p1 = _mm256_broadcast_ss(ptr1);
                          __m256 _outp = op(_p, _p1);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr += 8;
                          ptr1 += 1;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              if (w == 1 && h == 1 && channels1 == channels)
              {
                  // special type 3
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* a0 = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
                      __m256 _a0 = _mm256_loadu_ps(a0);
                      for (int i = 0; i < size1; i++)
                      {
                          __m256 _p1 = _mm256_loadu_ps(ptr1);
                          __m256 _outp = op(_a0, _p1);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr1 += 8;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 == h && channels == 1 && elempack == 1)
              {
                  // special type 4
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a;
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
                      for (int i = 0; i < size1; i++)
                      {
                          __m256 _p = _mm256_broadcast_ss(ptr);
                          __m256 _p1 = _mm256_loadu_ps(ptr1);
                          __m256 _outp = op(_p, _p1);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr += 1;
                          ptr1 += 8;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              if (w != 1 && w1 == 1 && h1 == h && channels1 == channels)
              {
                  // special type 5
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h; y++)
                      {
                          __m256 _p1 = _mm256_loadu_ps(ptr1 + y * 8);
                          for (int x = 0; x < w; x++)
                          {
                              __m256 _p = _mm256_loadu_ps(ptr);
                              __m256 _outp = op(_p, _p1);
                              _mm256_storeu_ps(outptr, _outp);
  
                              ptr += 8;
                              outptr += 8;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h != 1 && h1 == 1 && channels1 == channels)
              {
                  // special type 6
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h; y++)
                      {
                          for (int x = 0; x < w; x++)
                          {
                              __m256 _p = _mm256_loadu_ps(ptr);
                              __m256 _p1 = _mm256_loadu_ps(ptr1 + x * 8);
                              __m256 _outp = op(_p, _p1);
                              _mm256_storeu_ps(outptr, _outp);
  
                              ptr += 8;
                              outptr += 8;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 != 1 && w == 1 && h1 == h && channels1 == channels)
              {
                  // special type 7
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h1; y++)
                      {
                          __m256 _p = _mm256_loadu_ps(ptr + y * 8);
                          for (int x = 0; x < w1; x++)
                          {
                              __m256 _p1 = _mm256_loadu_ps(ptr1);
                              __m256 _outp = op(_p, _p1);
                              _mm256_storeu_ps(outptr, _outp);
  
                              ptr1 += 8;
                              outptr += 8;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 != 1 && h == 1 && channels1 == channels)
              {
                  // special type 8
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h1; y++)
                      {
                          for (int x = 0; x < w1; x++)
                          {
                              __m256 _p = _mm256_loadu_ps(ptr + x * 8);
                              __m256 _p1 = _mm256_loadu_ps(ptr1);
                              __m256 _outp = op(_p, _p1);
                              _mm256_storeu_ps(outptr, _outp);
  
                              ptr1 += 8;
                              outptr += 8;
                          }
                      }
                  }
  
                  return 0;
              }
  
              // type 19
              c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size; i++)
                  {
                      __m256 _p = _mm256_loadu_ps(ptr);
                      __m256 _p1 = _mm256_loadu_ps(ptr1);
                      __m256 _outp = op(_p, _p1);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr += 8;
                      ptr1 += 8;
                      outptr += 8;
                  }
              }
  
              return 0;
          }
  
          c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
          if (c.empty())
              return -100;
  
          if (b.dims == 2)
          {
              // type 18
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  const float* ptr1 = b.row(q);
                  float* outptr = c.channel(q);
  
                  for (int y = 0; y < h; y++)
                  {
                      __m256 _b0 = _mm256_loadu_ps(ptr1);
                      for (int x = 0; x < w; x++)
                      {
                          __m256 _p = _mm256_loadu_ps(ptr);
                          __m256 _outp = op(_p, _b0);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr += 8;
                          outptr += 8;
                      }
  
                      ptr1 += 8;
                  }
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 16
                  __m256 _b0 = _mm256_set1_ps(b[0]);
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int i = 0; i < size; i++)
                      {
                          __m256 _p = _mm256_loadu_ps(ptr);
                          __m256 _outp = op(_p, _b0);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr += 8;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              // type 17
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  __m256 _b0 = _mm256_loadu_ps((const float*)b + q * 8);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size; i++)
                  {
                      __m256 _p = _mm256_loadu_ps(ptr);
                      __m256 _outp = op(_p, _b0);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr += 8;
                      outptr += 8;
                  }
              }
  
              return 0;
          }
      }
      else if (a.dims == 2)
      {
          if (b.dims == 3)
          {
              // type 14
              c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels1; q++)
              {
                  const float* ptr = a.row(q);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int y = 0; y < h1; y++)
                  {
                      __m256 _a0 = _mm256_loadu_ps(ptr);
                      for (int x = 0; x < w1; x++)
                      {
                          __m256 _p1 = _mm256_loadu_ps(ptr1);
                          __m256 _outp = op(_a0, _p1);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr1 += 8;
                          outptr += 8;
                      }
  
                      ptr += 8;
                  }
              }
  
              return 0;
          }
  
          c.create(w, h, elemsize, elempack, opt.blob_allocator);
          if (c.empty())
              return -100;
  
          if (b.dims == 2)
          {
              // type 13
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
              for (int i = 0; i < size; i++)
              {
                  __m256 _p = _mm256_loadu_ps(ptr);
                  __m256 _p1 = _mm256_loadu_ps(ptr1);
                  __m256 _outp = op(_p, _p1);
                  _mm256_storeu_ps(outptr, _outp);
                  ptr += 8;
                  ptr1 += 8;
                  outptr += 8;
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              c.create(w, h, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 11
                  __m256 _b0 = _mm256_set1_ps(b[0]);
                  const float* ptr = a;
                  float* outptr = c;
                  for (int i = 0; i < size; i++)
                  {
                      __m256 _p = _mm256_loadu_ps(ptr);
                      __m256 _outp = op(_p, _b0);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr += 8;
                      outptr += 8;
                  }
  
                  return 0;
              }
  
              // type 12
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
  
              for (int y = 0; y < h; y++)
              {
                  __m256 _b0 = _mm256_loadu_ps(ptr1);
                  for (int x = 0; x < w; x++)
                  {
                      __m256 _p = _mm256_loadu_ps(ptr);
                      __m256 _outp = op(_p, _b0);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr += 8;
                      outptr += 8;
                  }
  
                  ptr1 += 8;
              }
  
              return 0;
          }
      }
      else if (a.dims == 1)
      {
          if (a.w == 1 && elempack == 1)
          {
              if (b.dims == 3)
              {
                  // type 4
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m256 _a0 = _mm256_set1_ps(a[0]);
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int i = 0; i < size1; i++)
                      {
                          __m256 _p1 = _mm256_loadu_ps(ptr1);
                          __m256 _outp = op(_a0, _p1);
                          _mm256_storeu_ps(outptr, _outp);
                          ptr1 += 8;
                          outptr += 8;
                      }
                  }
  
                  return 0;
              }
  
              if (b.dims == 2)
              {
                  // type 3
                  c.create(w1, h1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m256 _a0 = _mm256_set1_ps(a[0]);
                  const float* ptr1 = b;
                  float* outptr = c;
                  for (int i = 0; i < size1; i++)
                  {
                      __m256 _p1 = _mm256_loadu_ps(ptr1);
                      __m256 _outp = op(_a0, _p1);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr1 += 8;
                      outptr += 8;
                  }
  
                  return 0;
              }
  
              if (b.dims == 1)
              {
                  // type 2
                  c.create(w1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m256 _a0 = _mm256_set1_ps(a[0]);
                  const float* ptr1 = b;
                  float* outptr = c;
                  for (int i = 0; i < w1; i++)
                  {
                      __m256 _p1 = _mm256_loadu_ps(ptr1);
                      __m256 _outp = op(_a0, _p1);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr1 += 8;
                      outptr += 8;
                  }
  
                  return 0;
              }
          }
  
          if (b.dims == 3)
          {
              // type 9
              c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels1; q++)
              {
                  __m256 _a0 = _mm256_loadu_ps((const float*)a + q * 8);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size1; i++)
                  {
                      __m256 _p1 = _mm256_loadu_ps(ptr1);
                      __m256 _outp = op(_a0, _p1);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr1 += 8;
                      outptr += 8;
                  }
              }
  
              return 0;
          }
  
          if (b.dims == 2)
          {
              // type 8
              c.create(w1, h1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
  
              for (int y = 0; y < h1; y++)
              {
                  __m256 _a0 = _mm256_loadu_ps(ptr);
                  for (int x = 0; x < w1; x++)
                  {
                      __m256 _p1 = _mm256_loadu_ps(ptr1);
                      __m256 _outp = op(_a0, _p1);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr1 += 8;
                      outptr += 8;
                  }
  
                  ptr += 8;
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              c.create(w, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 6
                  __m256 _b0 = _mm256_set1_ps(b[0]);
                  const float* ptr = a;
                  float* outptr = c;
                  for (int i = 0; i < w; i++)
                  {
                      __m256 _p = _mm256_loadu_ps(ptr);
                      __m256 _outp = op(_p, _b0);
                      _mm256_storeu_ps(outptr, _outp);
                      ptr += 8;
                      outptr += 8;
                  }
  
                  return 0;
              }
  
              // type 7
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
              for (int i = 0; i < w; i++)
              {
                  __m256 _p = _mm256_loadu_ps(ptr);
                  __m256 _p1 = _mm256_loadu_ps(ptr1);
                  __m256 _outp = op(_p, _p1);
                  _mm256_storeu_ps(outptr, _outp);
                  ptr += 8;
                  ptr1 += 8;
                  outptr += 8;
              }
          }
      }
  
      return 0;
  }
  
  template<typename Op>
  static int binary_op_scalar_inplace_pack8(Mat& a, float b, const Option& opt)
  {
      Op op;
  
      int w = a.w;
      int h = a.h;
      int channels = a.c;
      int size = w * h;
  
      __m256 _b = _mm256_set1_ps(b);
  
      #pragma omp parallel for num_threads(opt.num_threads)
      for (int q = 0; q < channels; q++)
      {
          float* ptr = a.channel(q);
  
          for (int i = 0; i < size; i++)
          {
              __m256 _p = _mm256_loadu_ps(ptr);
              _p = op(_p, _b);
              _mm256_storeu_ps(ptr, _p);
              ptr += 8;
          }
      }
  
      return 0;
  }
  
  struct binary_op_add_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_add_ps(x, y);
      }
  };
  
  struct binary_op_sub_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_sub_ps(x, y);
      }
  };
  
  struct binary_op_mul_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_mul_ps(x, y);
      }
  };
  
  struct binary_op_div_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_div_ps(x, y);
      }
  };
  
  struct binary_op_max_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_max_ps(x, y);
      }
  };
  
  struct binary_op_min_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_min_ps(x, y);
      }
  };
  
  struct binary_op_pow_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return exp256_ps(_mm256_mul_ps(y, log256_ps(x)));
      }
  };
  
  struct binary_op_rsub_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_sub_ps(y, x);
      }
  };
  
  struct binary_op_rdiv_pack8
  {
      __m256 operator()(const __m256& x, const __m256& y) const
      {
          return _mm256_div_ps(y, x);
      }
  };
  #endif // __AVX__
  
  template<typename Op>
  static int binary_op_pack4(const Mat& a, const Mat& b, Mat& c, const Option& opt)
  {
      Op op;
  
      int w = a.w;
      int h = a.h;
      int channels = a.c;
      int size = w * h;
      size_t elemsize = a.elemsize;
      int elempack = a.elempack;
  
      int w1 = b.w;
      int h1 = b.h;
      int channels1 = b.c;
      int size1 = w1 * h1;
      size_t elemsize1 = b.elemsize;
      int elempack1 = b.elempack;
  
      if (a.dims == 3)
      {
          if (b.dims == 3)
          {
              if (w1 == 1 && h1 == 1 && channels1 == channels)
              {
                  // special type 1
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      float* outptr = c.channel(q);
                      const float* b0 = b.channel(q);
                      __m128 _b0 = _mm_loadu_ps(b0);
                      for (int i = 0; i < size; i++)
                      {
                          __m128 _p = _mm_loadu_ps(ptr);
                          __m128 _outp = op(_p, _b0);
                          _mm_storeu_ps(outptr, _outp);
                          ptr += 4;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 == h && channels1 == 1 && elempack1 == 1)
              {
                  // special type 2
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b;
                      float* outptr = c.channel(q);
                      for (int i = 0; i < size; i++)
                      {
                          __m128 _p = _mm_loadu_ps(ptr);
                          __m128 _p1 = _mm_set1_ps(*ptr1);
                          __m128 _outp = op(_p, _p1);
                          _mm_storeu_ps(outptr, _outp);
                          ptr += 4;
                          ptr1 += 1;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              if (w == 1 && h == 1 && channels1 == channels)
              {
                  // special type 3
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* a0 = a.channel(q);
                      float* outptr = c.channel(q);
                      const float* ptr1 = b.channel(q);
                      __m128 _a0 = _mm_loadu_ps(a0);
                      for (int i = 0; i < size1; i++)
                      {
                          __m128 _p1 = _mm_loadu_ps(ptr1);
                          __m128 _outp = op(_a0, _p1);
                          _mm_storeu_ps(outptr, _outp);
                          ptr1 += 4;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 == h && channels == 1 && elempack == 1)
              {
                  // special type 4
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a;
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
                      for (int i = 0; i < size1; i++)
                      {
                          __m128 _p = _mm_set1_ps(*ptr);
                          __m128 _p1 = _mm_loadu_ps(ptr1);
                          __m128 _outp = op(_p, _p1);
                          _mm_storeu_ps(outptr, _outp);
                          ptr += 1;
                          ptr1 += 4;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              if (w != 1 && w1 == 1 && h1 == h && channels1 == channels)
              {
                  // special type 5
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h; y++)
                      {
                          __m128 _p1 = _mm_loadu_ps(ptr1 + y * 4);
                          for (int x = 0; x < w; x++)
                          {
                              __m128 _p = _mm_loadu_ps(ptr);
                              __m128 _outp = op(_p, _p1);
                              _mm_storeu_ps(outptr, _outp);
  
                              ptr += 4;
                              outptr += 4;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h != 1 && h1 == 1 && channels1 == channels)
              {
                  // special type 6
                  c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h; y++)
                      {
                          for (int x = 0; x < w; x++)
                          {
                              __m128 _p = _mm_loadu_ps(ptr);
                              __m128 _p1 = _mm_loadu_ps(ptr1 + x * 4);
                              __m128 _outp = op(_p, _p1);
                              _mm_storeu_ps(outptr, _outp);
  
                              ptr += 4;
                              outptr += 4;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 != 1 && w == 1 && h1 == h && channels1 == channels)
              {
                  // special type 7
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h1; y++)
                      {
                          __m128 _p = _mm_loadu_ps(ptr + y * 4);
                          for (int x = 0; x < w1; x++)
                          {
                              __m128 _p1 = _mm_loadu_ps(ptr1);
                              __m128 _outp = op(_p, _p1);
                              _mm_storeu_ps(outptr, _outp);
  
                              ptr1 += 4;
                              outptr += 4;
                          }
                      }
                  }
  
                  return 0;
              }
  
              if (w1 == w && h1 != 1 && h == 1 && channels1 == channels)
              {
                  // special type 8
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr = a.channel(q);
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int y = 0; y < h1; y++)
                      {
                          for (int x = 0; x < w1; x++)
                          {
                              __m128 _p = _mm_loadu_ps(ptr + x * 4);
                              __m128 _p1 = _mm_loadu_ps(ptr1);
                              __m128 _outp = op(_p, _p1);
                              _mm_storeu_ps(outptr, _outp);
  
                              ptr1 += 4;
                              outptr += 4;
                          }
                      }
                  }
  
                  return 0;
              }
  
              // type 19
              c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size; i++)
                  {
                      __m128 _p = _mm_loadu_ps(ptr);
                      __m128 _p1 = _mm_loadu_ps(ptr1);
                      __m128 _outp = op(_p, _p1);
                      _mm_storeu_ps(outptr, _outp);
                      ptr += 4;
                      ptr1 += 4;
                      outptr += 4;
                  }
              }
  
              return 0;
          }
  
          c.create(w, h, channels, elemsize, elempack, opt.blob_allocator);
          if (c.empty())
              return -100;
  
          if (b.dims == 2)
          {
              // type 18
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  const float* ptr1 = b.row<const float>(q);
                  float* outptr = c.channel(q);
  
                  for (int y = 0; y < h; y++)
                  {
                      __m128 _b0 = _mm_loadu_ps(ptr1);
                      for (int x = 0; x < w; x++)
                      {
                          __m128 _p = _mm_loadu_ps(ptr);
                          __m128 _outp = op(_p, _b0);
                          _mm_storeu_ps(outptr, _outp);
                          ptr += 4;
                          outptr += 4;
                      }
  
                      ptr1 += 4;
                  }
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 16
                  __m128 _b0 = _mm_set1_ps(((const float*)b)[0]);
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels; q++)
                  {
                      const float* ptr = a.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int i = 0; i < size; i++)
                      {
                          __m128 _p = _mm_loadu_ps(ptr);
                          __m128 _outp = op(_p, _b0);
                          _mm_storeu_ps(outptr, _outp);
                          ptr += 4;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              // type 17
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels; q++)
              {
                  const float* ptr = a.channel(q);
                  __m128 _b0 = _mm_loadu_ps((const float*)b + q * 4);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size; i++)
                  {
                      __m128 _p = _mm_loadu_ps(ptr);
                      __m128 _outp = op(_p, _b0);
                      _mm_storeu_ps(outptr, _outp);
                      ptr += 4;
                      outptr += 4;
                  }
              }
  
              return 0;
          }
      }
      else if (a.dims == 2)
      {
          if (b.dims == 3)
          {
              // type 14
              c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels1; q++)
              {
                  const float* ptr = a.row<const float>(q);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int y = 0; y < h1; y++)
                  {
                      __m128 _a0 = _mm_loadu_ps(ptr);
                      for (int x = 0; x < w1; x++)
                      {
                          __m128 _p1 = _mm_loadu_ps(ptr1);
                          __m128 _outp = op(_a0, _p1);
                          _mm_storeu_ps(outptr, _outp);
                          ptr1 += 4;
                          outptr += 4;
                      }
  
                      ptr += 4;
                  }
              }
  
              return 0;
          }
  
          c.create(w, h, elemsize, elempack, opt.blob_allocator);
          if (c.empty())
              return -100;
  
          if (b.dims == 2)
          {
              // type 13
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
              for (int i = 0; i < size; i++)
              {
                  __m128 _p = _mm_loadu_ps(ptr);
                  __m128 _p1 = _mm_loadu_ps(ptr1);
                  __m128 _outp = op(_p, _p1);
                  _mm_storeu_ps(outptr, _outp);
                  ptr += 4;
                  ptr1 += 4;
                  outptr += 4;
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              c.create(w, h, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 11
                  __m128 _b0 = _mm_set1_ps(((const float*)b)[0]);
                  const float* ptr = a;
                  float* outptr = c;
                  for (int i = 0; i < size; i++)
                  {
                      __m128 _p = _mm_loadu_ps(ptr);
                      __m128 _outp = op(_p, _b0);
                      _mm_storeu_ps(outptr, _outp);
                      ptr += 4;
                      outptr += 4;
                  }
  
                  return 0;
              }
  
              // type 12
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
  
              for (int y = 0; y < h; y++)
              {
                  __m128 _b0 = _mm_loadu_ps(ptr1);
                  for (int x = 0; x < w; x++)
                  {
                      __m128 _p = _mm_loadu_ps(ptr);
                      __m128 _outp = op(_p, _b0);
                      _mm_storeu_ps(outptr, _outp);
                      ptr += 4;
                      outptr += 4;
                  }
  
                  ptr1 += 4;
              }
  
              return 0;
          }
      }
      else if (a.dims == 1)
      {
          if (a.w == 1 && elempack == 1)
          {
              if (b.dims == 3)
              {
                  // type 4
                  c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m128 _a0 = _mm_set1_ps(((const float*)a)[0]);
                  #pragma omp parallel for num_threads(opt.num_threads)
                  for (int q = 0; q < channels1; q++)
                  {
                      const float* ptr1 = b.channel(q);
                      float* outptr = c.channel(q);
  
                      for (int i = 0; i < size1; i++)
                      {
                          __m128 _p1 = _mm_loadu_ps(ptr1);
                          __m128 _outp = op(_a0, _p1);
                          _mm_storeu_ps(outptr, _outp);
                          ptr1 += 4;
                          outptr += 4;
                      }
                  }
  
                  return 0;
              }
  
              if (b.dims == 2)
              {
                  // type 3
                  c.create(w1, h1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m128 _a0 = _mm_set1_ps(((const float*)a)[0]);
                  const float* ptr1 = b;
                  float* outptr = c;
                  for (int i = 0; i < size1; i++)
                  {
                      __m128 _p1 = _mm_loadu_ps(ptr1);
                      __m128 _outp = op(_a0, _p1);
                      _mm_storeu_ps(outptr, _outp);
                      ptr1 += 4;
                      outptr += 4;
                  }
  
                  return 0;
              }
  
              if (b.dims == 1)
              {
                  // type 2
                  c.create(w1, elemsize1, elempack1, opt.blob_allocator);
                  if (c.empty())
                      return -100;
  
                  __m128 _a0 = _mm_set1_ps(((const float*)a)[0]);
                  const float* ptr1 = b;
                  float* outptr = c;
                  for (int i = 0; i < w1; i++)
                  {
                      __m128 _p1 = _mm_loadu_ps(ptr1);
                      __m128 _outp = op(_a0, _p1);
                      _mm_storeu_ps(outptr, _outp);
                      ptr1 += 4;
                      outptr += 4;
                  }
  
                  return 0;
              }
          }
  
          if (b.dims == 3)
          {
              // type 9
              c.create(w1, h1, channels1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              #pragma omp parallel for num_threads(opt.num_threads)
              for (int q = 0; q < channels1; q++)
              {
                  __m128 _a0 = _mm_loadu_ps((const float*)a + q * 4);
                  const float* ptr1 = b.channel(q);
                  float* outptr = c.channel(q);
  
                  for (int i = 0; i < size1; i++)
                  {
                      __m128 _p1 = _mm_loadu_ps(ptr1);
                      __m128 _outp = op(_a0, _p1);
                      _mm_storeu_ps(outptr, _outp);
                      ptr1 += 4;
                      outptr += 4;
                  }
              }
  
              return 0;
          }
  
          if (b.dims == 2)
          {
              // type 8
              c.create(w1, h1, elemsize1, elempack1, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
  
              for (int y = 0; y < h1; y++)
              {
                  __m128 _a0 = _mm_loadu_ps(ptr);
                  for (int x = 0; x < w1; x++)
                  {
                      __m128 _p1 = _mm_loadu_ps(ptr1);
                      __m128 _outp = op(_a0, _p1);
                      _mm_storeu_ps(outptr, _outp);
                      ptr1 += 4;
                      outptr += 4;
                  }
  
                  ptr += 4;
              }
  
              return 0;
          }
  
          if (b.dims == 1)
          {
              c.create(w, elemsize, elempack, opt.blob_allocator);
              if (c.empty())
                  return -100;
  
              if (b.w == 1 && elempack1 == 1)
              {
                  // type 6
                  __m128 _b0 = _mm_set1_ps(((const float*)b)[0]);
                  const float* ptr = a;
                  float* outptr = c;
                  for (int i = 0; i < w; i++)
                  {
                      __m128 _p = _mm_loadu_ps(ptr);
                      __m128 _outp = op(_p, _b0);
                      _mm_storeu_ps(outptr, _outp);
                      ptr += 4;
                      outptr += 4;
                  }
  
                  return 0;
              }
  
              // type 7
              const float* ptr = a;
              const float* ptr1 = b;
              float* outptr = c;
              for (int i = 0; i < w; i++)
              {
                  __m128 _p = _mm_loadu_ps(ptr);
                  __m128 _p1 = _mm_loadu_ps(ptr1);
                  __m128 _outp = op(_p, _p1);
                  _mm_storeu_ps(outptr, _outp);
                  ptr += 4;
                  ptr1 += 4;
                  outptr += 4;
              }
          }
      }
  
      return 0;
  }
  
  template<typename Op>
  static int binary_op_scalar_inplace_pack4(Mat& a, float b, const Option& opt)
  {
      Op op;
  
      int w = a.w;
      int h = a.h;
      int channels = a.c;
      int size = w * h;
  
      __m128 _b = _mm_set1_ps((float)b);
  
      #pragma omp parallel for num_threads(opt.num_threads)
      for (int q = 0; q < channels; q++)
      {
          float* ptr = a.channel(q);
  
          for (int i = 0; i < size; i++)
          {
              __m128 _p = _mm_loadu_ps(ptr);
              _p = op(_p, _b);
              _mm_storeu_ps(ptr, _p);
              ptr += 4;
          }
      }
  
      return 0;
  }
  
  struct binary_op_add_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_add_ps(x, y);
      }
  };
  
  struct binary_op_sub_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_sub_ps(x, y);
      }
  };
  
  struct binary_op_mul_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_mul_ps(x, y);
      }
  };
  
  struct binary_op_div_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_div_ps(x, y);
      }
  };
  
  struct binary_op_max_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_max_ps(x, y);
      }
  };
  
  struct binary_op_min_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_min_ps(x, y);
      }
  };
  
  struct binary_op_pow_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return exp_ps(_mm_mul_ps(y, log_ps(x)));
      }
  };
  
  struct binary_op_rsub_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_sub_ps(y, x);
      }
  };
  
  struct binary_op_rdiv_pack4
  {
      __m128 operator()(const __m128& x, const __m128& y) const
      {
          return _mm_div_ps(y, x);
      }
  };
  #endif // __SSE2__
  
  int BinaryOp_x86::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& opt) const
  {
  #if __SSE2__
      const Mat& bottom_blob = bottom_blobs[0];
      const Mat& bottom_blob1 = bottom_blobs[1];
      Mat& top_blob = top_blobs[0];
  
      int elempack = bottom_blob.elempack;
      int elempack1 = bottom_blob1.elempack;
  
  #if __AVX__
      if (elempack == 8 || elempack1 == 8)
      {
          if (op_type == Operation_ADD)
              return binary_op_pack8<binary_op_add_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_SUB)
              return binary_op_pack8<binary_op_sub_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MUL)
              return binary_op_pack8<binary_op_mul_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_DIV)
              return binary_op_pack8<binary_op_div_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MAX)
              return binary_op_pack8<binary_op_max_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MIN)
              return binary_op_pack8<binary_op_min_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_POW)
              return binary_op_pack8<binary_op_pow_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_RSUB)
              return binary_op_pack8<binary_op_rsub_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_RDIV)
              return binary_op_pack8<binary_op_rdiv_pack8>(bottom_blob, bottom_blob1, top_blob, opt);
      }
  #endif // __AVX__
  
      if (elempack == 4 || elempack1 == 4)
      {
          if (op_type == Operation_ADD)
              return binary_op_pack4<binary_op_add_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_SUB)
              return binary_op_pack4<binary_op_sub_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MUL)
              return binary_op_pack4<binary_op_mul_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_DIV)
              return binary_op_pack4<binary_op_div_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MAX)
              return binary_op_pack4<binary_op_max_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_MIN)
              return binary_op_pack4<binary_op_min_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_POW)
              return binary_op_pack4<binary_op_pow_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_RSUB)
              return binary_op_pack4<binary_op_rsub_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
  
          if (op_type == Operation_RDIV)
              return binary_op_pack4<binary_op_rdiv_pack4>(bottom_blob, bottom_blob1, top_blob, opt);
      }
  #endif // __SSE2__
  
      return BinaryOp::forward(bottom_blobs, top_blobs, opt);
  }
  
  int BinaryOp_x86::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
  {
  #if __SSE2__
      int elempack = bottom_top_blob.elempack;
  
  #if __AVX__
      if (elempack == 8)
      {
          if (op_type == Operation_ADD)
              return binary_op_scalar_inplace_pack8<binary_op_add_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_SUB)
              return binary_op_scalar_inplace_pack8<binary_op_sub_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MUL)
              return binary_op_scalar_inplace_pack8<binary_op_mul_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_DIV)
              return binary_op_scalar_inplace_pack8<binary_op_div_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MAX)
              return binary_op_scalar_inplace_pack8<binary_op_max_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MIN)
              return binary_op_scalar_inplace_pack8<binary_op_min_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_POW)
              return binary_op_scalar_inplace_pack8<binary_op_pow_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_RSUB)
              return binary_op_scalar_inplace_pack8<binary_op_rsub_pack8>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_RDIV)
              return binary_op_scalar_inplace_pack8<binary_op_rdiv_pack8>(bottom_top_blob, b, opt);
      }
  #endif // __AVX__
  
      if (elempack == 4)
      {
          if (op_type == Operation_ADD)
              return binary_op_scalar_inplace_pack4<binary_op_add_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_SUB)
              return binary_op_scalar_inplace_pack4<binary_op_sub_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MUL)
              return binary_op_scalar_inplace_pack4<binary_op_mul_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_DIV)
              return binary_op_scalar_inplace_pack4<binary_op_div_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MAX)
              return binary_op_scalar_inplace_pack4<binary_op_max_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_MIN)
              return binary_op_scalar_inplace_pack4<binary_op_min_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_POW)
              return binary_op_scalar_inplace_pack4<binary_op_pow_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_RSUB)
              return binary_op_scalar_inplace_pack4<binary_op_rsub_pack4>(bottom_top_blob, b, opt);
  
          if (op_type == Operation_RDIV)
              return binary_op_scalar_inplace_pack4<binary_op_rdiv_pack4>(bottom_top_blob, b, opt);
      }
  #endif // __SSE2__
  
      return BinaryOp::forward_inplace(bottom_top_blob, opt);
  }
  
  } // namespace ncnn
  