blob: 9a87bc2e34460628597d227af8350f136bc39632 [file] [log] [blame]
use crate::simd::{intrinsics, LaneCount, Mask, Simd, SimdPartialEq, SupportedLaneCount};
/// Parallel `PartialOrd`.
pub trait SimdPartialOrd: SimdPartialEq {
/// Test if each lane is less than the corresponding lane in `other`.
#[must_use = "method returns a new mask and does not mutate the original value"]
fn simd_lt(self, other: Self) -> Self::Mask;
/// Test if each lane is less than or equal to the corresponding lane in `other`.
#[must_use = "method returns a new mask and does not mutate the original value"]
fn simd_le(self, other: Self) -> Self::Mask;
/// Test if each lane is greater than the corresponding lane in `other`.
#[must_use = "method returns a new mask and does not mutate the original value"]
fn simd_gt(self, other: Self) -> Self::Mask;
/// Test if each lane is greater than or equal to the corresponding lane in `other`.
#[must_use = "method returns a new mask and does not mutate the original value"]
fn simd_ge(self, other: Self) -> Self::Mask;
}
/// Parallel `Ord`.
pub trait SimdOrd: SimdPartialOrd {
/// Returns the lane-wise maximum with `other`.
#[must_use = "method returns a new vector and does not mutate the original value"]
fn simd_max(self, other: Self) -> Self;
/// Returns the lane-wise minimum with `other`.
#[must_use = "method returns a new vector and does not mutate the original value"]
fn simd_min(self, other: Self) -> Self;
/// Restrict each lane to a certain interval.
///
/// For each lane, returns `max` if `self` is greater than `max`, and `min` if `self` is
/// less than `min`. Otherwise returns `self`.
///
/// # Panics
///
/// Panics if `min > max` on any lane.
#[must_use = "method returns a new vector and does not mutate the original value"]
fn simd_clamp(self, min: Self, max: Self) -> Self;
}
macro_rules! impl_integer {
{ $($integer:ty),* } => {
$(
impl<const LANES: usize> SimdPartialOrd for Simd<$integer, LANES>
where
LaneCount<LANES>: SupportedLaneCount,
{
#[inline]
fn simd_lt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_lt(self, other)) }
}
#[inline]
fn simd_le(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_le(self, other)) }
}
#[inline]
fn simd_gt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_gt(self, other)) }
}
#[inline]
fn simd_ge(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_ge(self, other)) }
}
}
impl<const LANES: usize> SimdOrd for Simd<$integer, LANES>
where
LaneCount<LANES>: SupportedLaneCount,
{
#[inline]
fn simd_max(self, other: Self) -> Self {
self.simd_lt(other).select(other, self)
}
#[inline]
fn simd_min(self, other: Self) -> Self {
self.simd_gt(other).select(other, self)
}
#[inline]
fn simd_clamp(self, min: Self, max: Self) -> Self {
assert!(
min.simd_le(max).all(),
"each lane in `min` must be less than or equal to the corresponding lane in `max`",
);
self.simd_max(min).simd_min(max)
}
}
)*
}
}
impl_integer! { u8, u16, u32, u64, usize, i8, i16, i32, i64, isize }
macro_rules! impl_float {
{ $($float:ty),* } => {
$(
impl<const LANES: usize> SimdPartialOrd for Simd<$float, LANES>
where
LaneCount<LANES>: SupportedLaneCount,
{
#[inline]
fn simd_lt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_lt(self, other)) }
}
#[inline]
fn simd_le(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_le(self, other)) }
}
#[inline]
fn simd_gt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_gt(self, other)) }
}
#[inline]
fn simd_ge(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Mask::from_int_unchecked(intrinsics::simd_ge(self, other)) }
}
}
)*
}
}
impl_float! { f32, f64 }
macro_rules! impl_mask {
{ $($integer:ty),* } => {
$(
impl<const LANES: usize> SimdPartialOrd for Mask<$integer, LANES>
where
LaneCount<LANES>: SupportedLaneCount,
{
#[inline]
fn simd_lt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Self::from_int_unchecked(intrinsics::simd_lt(self.to_int(), other.to_int())) }
}
#[inline]
fn simd_le(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Self::from_int_unchecked(intrinsics::simd_le(self.to_int(), other.to_int())) }
}
#[inline]
fn simd_gt(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Self::from_int_unchecked(intrinsics::simd_gt(self.to_int(), other.to_int())) }
}
#[inline]
fn simd_ge(self, other: Self) -> Self::Mask {
// Safety: `self` is a vector, and the result of the comparison
// is always a valid mask.
unsafe { Self::from_int_unchecked(intrinsics::simd_ge(self.to_int(), other.to_int())) }
}
}
impl<const LANES: usize> SimdOrd for Mask<$integer, LANES>
where
LaneCount<LANES>: SupportedLaneCount,
{
#[inline]
fn simd_max(self, other: Self) -> Self {
self.simd_gt(other).select_mask(other, self)
}
#[inline]
fn simd_min(self, other: Self) -> Self {
self.simd_lt(other).select_mask(other, self)
}
#[inline]
fn simd_clamp(self, min: Self, max: Self) -> Self {
assert!(
min.simd_le(max).all(),
"each lane in `min` must be less than or equal to the corresponding lane in `max`",
);
self.simd_max(min).simd_min(max)
}
}
)*
}
}
impl_mask! { i8, i16, i32, i64, isize }