Home / Class/ map2_reduce_all Class — pytorch Architecture

map2_reduce_all Class — pytorch Architecture

Architecture documentation for the map2_reduce_all class in functional_bfloat16.h from the pytorch codebase.

Entity Profile

Source Code

aten/src/ATen/cpu/vec/functional_bfloat16.h lines 288–353

template <
    typename scalar_t,
    typename MapOp,
    typename ReduceOp,
    typename std::enable_if_t<is_reduced_floating_point_v<scalar_t>, int> = 0>
inline float map2_reduce_all(
    const MapOp& map_fun,
    const ReduceOp& red_fun,
    const scalar_t* data,
    const scalar_t* data2,
    int64_t size) {
  using bVec = vec::Vectorized<scalar_t>;
  using fVec = vec::Vectorized<float>;
  if (size < bVec::size()) {
    bVec data_bvec = bVec::loadu(data, size);
    auto [data_fvec0, data_fvec1] = convert_to_float<scalar_t>(data_bvec);
    bVec data2_bvec = bVec::loadu(data2, size);
    auto [data2_fvec0, data2_fvec1] = convert_to_float<scalar_t>(data2_bvec);
    if (size > fVec::size()) {
      data_fvec0 = map_fun(data_fvec0, data2_fvec0);
      data_fvec1 = map_fun(data_fvec1, data2_fvec1);
      data_fvec0 = fVec::set(
          data_fvec0, red_fun(data_fvec0, data_fvec1), size - fVec::size());
      return vec_reduce_all<float>(red_fun, data_fvec0, fVec::size());
    } else {
      data_fvec0 = map_fun(data_fvec0, data2_fvec0);
      return vec_reduce_all<float>(red_fun, data_fvec0, size);
    }
  }
  int64_t d = bVec::size();
  bVec acc_bvec = bVec::loadu(data);
  auto [acc_fvec0, acc_fvec1] = convert_to_float<scalar_t>(acc_bvec);
  bVec acc2_bvec = bVec::loadu(data2);
  auto [acc2_fvec0, acc2_fvec1] = convert_to_float<scalar_t>(acc2_bvec);
  acc_fvec0 = map_fun(acc_fvec0, acc2_fvec0);
  acc_fvec1 = map_fun(acc_fvec1, acc2_fvec1);
  for (; d < size - (size % bVec::size()); d += bVec::size()) {
    bVec data_bvec = bVec::loadu(data + d);
    auto [data_fvec0, data_fvec1] = convert_to_float<scalar_t>(data_bvec);
    bVec data2_bvec = bVec::loadu(data2 + d);
    auto [data2_fvec0, data2_fvec1] = convert_to_float<scalar_t>(data2_bvec);
    data_fvec0 = map_fun(data_fvec0, data2_fvec0);
    data_fvec1 = map_fun(data_fvec1, data2_fvec1);
    acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
    acc_fvec1 = red_fun(acc_fvec1, data_fvec1);
  }
  if (size - d > 0) {
    bVec data_bvec = bVec::loadu(data + d, size - d);
    auto [data_fvec0, data_fvec1] = convert_to_float<scalar_t>(data_bvec);
    bVec data2_bvec = bVec::loadu(data2 + d, size - d);
    auto [data2_fvec0, data2_fvec1] = convert_to_float<scalar_t>(data2_bvec);
    if (size - d > fVec::size()) {
      data_fvec0 = map_fun(data_fvec0, data2_fvec0);
      data_fvec1 = map_fun(data_fvec1, data2_fvec1);
      acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
      acc_fvec1 = fVec::set(
          acc_fvec1, red_fun(acc_fvec1, data_fvec1), size - d - fVec::size());
    } else {
      data_fvec0 = map_fun(data_fvec0, data2_fvec0);
      acc_fvec0 =
          fVec::set(acc_fvec0, red_fun(acc_fvec0, data_fvec0), size - d);
    }
  }
  acc_fvec0 = red_fun(acc_fvec0, acc_fvec1);
  return vec_reduce_all<float>(red_fun, acc_fvec0);
}

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