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Use C++17 Convention Methods in PyTorch (#137958)

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Detailed Descriptions:
- `std::is_same<X, Y>::value` -> `std::is_same_v<X, Y>`
- `std::enable_if<C, T>::type` -> `std::enable_if_t<C, T>`
- and so on

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137958
Approved by: https://github.com/janeyx99
This commit is contained in:
FFFrog
2024-10-16 18:18:23 +08:00
committed by PyTorch MergeBot
parent b7cf8fb800
commit ad28565ed7
20 changed files with 110 additions and 112 deletions
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8
aten/src/ATen/native/cpu/ReduceUtils.h
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@ -106,7 +106,7 @@ inline void _init(scalar_t* self_ptr, at::opmath_type<scalar_t>* buffer_ptr, int
}
template <typename scalar_t>
inline typename std::enable_if<!std::is_same<scalar_t, Vec2>::value, scalar_t>::type
inline std::enable_if_t<!std::is_same_v<scalar_t, Vec2>, scalar_t>
_max(const scalar_t& x, const scalar_t& y) {
return at::_isnan(y) ? y : std::max(x, y);
}
@ -118,14 +118,14 @@ inline Vectorized<scalar_t> _max(const Vectorized<scalar_t>& x, const Vectorized
}
template <typename vec_t>
inline typename std::enable_if<std::is_same<vec_t, Vec2>::value, Vec2>::type
inline std::enable_if_t<std::is_same_v<vec_t, Vec2>, Vec2>
_max(const vec_t& x, const vec_t& y) {
// vec::maximum propagates NaN
return maximum(x, y);
}
template <typename scalar_t>
inline typename std::enable_if<!std::is_same<scalar_t, Vec2>::value, scalar_t>::type
inline std::enable_if_t<!std::is_same_v<scalar_t, Vec2>, scalar_t>
_min(const scalar_t& x, const scalar_t& y) {
return at::_isnan(y) ? y : std::min(x, y);
}
@ -137,7 +137,7 @@ inline Vectorized<scalar_t> _min(const Vectorized<scalar_t>& x, const Vectorized
}
template <typename vec_t>
inline typename std::enable_if<std::is_same<vec_t, Vec2>::value, Vec2>::type
inline std::enable_if_t<std::is_same_v<vec_t, Vec2>, Vec2>
_min(const vec_t& x, const vec_t& y) {
// vec::minimum propagates NaN
return minimum(x, y);