__may_alias__ Class — pytorch Architecture

Source Code

aten/src/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h lines 14–86

template <>
class Vectorized<int16_t> {
 private:
  union {
    struct {
      vint16 _vec0;
      vint16 _vec1;
    };
    struct {
      vbool16 _vecb0;
      vbool16 _vecb1;
    };

  } __attribute__((__may_alias__));

 public:
  using value_type = int16_t;
  using vec_internal_type = vint16;
  using vec_internal_mask_type = vbool16;
  using size_type = int;
  static constexpr size_type size() {
    return 16;
  }
  Vectorized() {}
  C10_ALWAYS_INLINE Vectorized(vint16 v) : _vec0{v}, _vec1{v} {}
  C10_ALWAYS_INLINE Vectorized(vbool16 vmask) : _vecb0{vmask}, _vecb1{vmask} {}
  C10_ALWAYS_INLINE Vectorized(vint16 v1, vint16 v2) : _vec0{v1}, _vec1{v2} {}
  C10_ALWAYS_INLINE Vectorized(vbool16 v1, vbool16 v2)
      : _vecb0{v1}, _vecb1{v2} {}
  C10_ALWAYS_INLINE Vectorized(int16_t scalar)
      : _vec0{vec_splats(scalar)}, _vec1{vec_splats(scalar)} {}

  C10_ALWAYS_INLINE Vectorized(
      int16_t scalar1,
      int16_t scalar2,
      int16_t scalar3,
      int16_t scalar4,
      int16_t scalar5,
      int16_t scalar6,
      int16_t scalar7,
      int16_t scalar8,
      int16_t scalar9,
      int16_t scalar10,
      int16_t scalar11,
      int16_t scalar12,
      int16_t scalar13,
      int16_t scalar14,
      int16_t scalar15,
      int16_t scalar16)
      : _vec0{vint16{
            scalar1,
            scalar2,
            scalar3,
            scalar4,
            scalar5,
            scalar6,
            scalar7,
            scalar8}},
        _vec1{vint16{
            scalar9,
            scalar10,
            scalar11,
            scalar12,
            scalar13,
            scalar14,
            scalar15,
            scalar16}} {}
  C10_ALWAYS_INLINE const vec_internal_type& vec0() const {
    return _vec0;
  }
  C10_ALWAYS_INLINE const vec_internal_type& vec1() const {
    return _vec1;
  }