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__may_alias__ Class — pytorch Architecture

Architecture documentation for the __may_alias__ class in vec256_int32_vsx.h from the pytorch codebase.

Entity Profile

Source Code

aten/src/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h lines 14–61

template <>
class Vectorized<int32_t> {
 private:
  union {
    struct {
      vint32 _vec0;
      vint32 _vec1;
    };
    struct {
      vbool32 _vecb0;
      vbool32 _vecb1;
    };

  } __attribute__((__may_alias__));

 public:
  using value_type = int32_t;
  using vec_internal_type = vint32;
  using vec_internal_mask_type = vbool32;
  using size_type = int;
  static constexpr size_type size() {
    return 8;
  }
  Vectorized() {}
  C10_ALWAYS_INLINE Vectorized(vint32 v) : _vec0{v}, _vec1{v} {}
  C10_ALWAYS_INLINE Vectorized(vbool32 vmask) : _vecb0{vmask}, _vecb1{vmask} {}
  C10_ALWAYS_INLINE Vectorized(vint32 v1, vint32 v2) : _vec0{v1}, _vec1{v2} {}
  C10_ALWAYS_INLINE Vectorized(vbool32 v1, vbool32 v2)
      : _vecb0{v1}, _vecb1{v2} {}
  C10_ALWAYS_INLINE Vectorized(int32_t scalar)
      : _vec0{vec_splats(scalar)}, _vec1{vec_splats(scalar)} {}
  C10_ALWAYS_INLINE Vectorized(
      int32_t scalar1,
      int32_t scalar2,
      int32_t scalar3,
      int32_t scalar4,
      int32_t scalar5,
      int32_t scalar6,
      int32_t scalar7,
      int32_t scalar8)
      : _vec0{vint32{scalar1, scalar2, scalar3, scalar4}},
        _vec1{vint32{scalar5, scalar6, scalar7, scalar8}} {}
  C10_ALWAYS_INLINE const vec_internal_type& vec0() const {
    return _vec0;
  }
  C10_ALWAYS_INLINE const vec_internal_type& vec1() const {
    return _vec1;
  }

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