Trait std::simd::SimdInt

pub trait SimdInt: Copy + Sealed {
    type Mask;
    type Scalar;

    // Required methods
    fn saturating_add(self, second: Self) -> Self;
    fn saturating_sub(self, second: Self) -> Self;
    fn abs(self) -> Self;
    fn saturating_abs(self) -> Self;
    fn saturating_neg(self) -> Self;
    fn is_positive(self) -> Self::Mask;
    fn is_negative(self) -> Self::Mask;
    fn signum(self) -> Self;
    fn reduce_sum(self) -> Self::Scalar;
    fn reduce_product(self) -> Self::Scalar;
    fn reduce_max(self) -> Self::Scalar;
    fn reduce_min(self) -> Self::Scalar;
    fn reduce_and(self) -> Self::Scalar;
    fn reduce_or(self) -> Self::Scalar;
    fn reduce_xor(self) -> Self::Scalar;
}

🔬This is a nightly-only experimental API. (portable_simd #86656)

对有符号整数的 SIMD vectors 的操作。

Required Associated Types

type Mask

🔬This is a nightly-only experimental API. (portable_simd #86656)

用于操作此 SIMD vector 类型的掩码类型。

type Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

此 SIMD vector 类型包含的标量类型。

Required Methods

fn saturating_add(self, second: Self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

Lanewise 饱和加法。

Examples

use core::i32::{MIN, MAX};
let x = Simd::from_array([MIN, 0, 1, MAX]);
let max = Simd::splat(MAX);
let unsat = x + max;
let sat = x.saturating_add(max);
assert_eq!(unsat, Simd::from_array([-1, MAX, MIN, -2]));
assert_eq!(sat, Simd::from_array([-1, MAX, MAX, MAX]));

fn saturating_sub(self, second: Self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

Lanewise 饱和减法。

Examples

use core::i32::{MIN, MAX};
let x = Simd::from_array([MIN, -2, -1, MAX]);
let max = Simd::splat(MAX);
let unsat = x - max;
let sat = x.saturating_sub(max);
assert_eq!(unsat, Simd::from_array([1, MAX, MIN, 0]));
assert_eq!(sat, Simd::from_array([MIN, MIN, MIN, 0]));

fn abs(self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

Lanewise 绝对值，在 Rust 中实现。 每个 lane 都成为它的绝对值。

Examples

use core::i32::{MIN, MAX};
let xs = Simd::from_array([MIN, MIN +1, -5, 0]);
assert_eq!(xs.abs(), Simd::from_array([MIN, MAX, 5, 0]));

fn saturating_abs(self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

Lanewise 饱和绝对值，在 Rust 中实现。 作为 abs()，除了 MIN 值变为 MAX 而不是它本身。

Examples

use core::i32::{MIN, MAX};
let xs = Simd::from_array([MIN, -2, 0, 3]);
let unsat = xs.abs();
let sat = xs.saturating_abs();
assert_eq!(unsat, Simd::from_array([MIN, 2, 0, 3]));
assert_eq!(sat, Simd::from_array([MAX, 2, 0, 3]));

fn saturating_neg(self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

Lanewise 饱和否定，在 Rust 中实现。 作为 neg()，除了 MIN 值变为 MAX 而不是它本身。

Examples

use core::i32::{MIN, MAX};
let x = Simd::from_array([MIN, -2, 3, MAX]);
let unsat = -x;
let sat = x.saturating_neg();
assert_eq!(unsat, Simd::from_array([MIN, 2, -3, MIN + 1]));
assert_eq!(sat, Simd::from_array([MAX, 2, -3, MIN + 1]));

fn is_positive(self) -> Self::Mask

🔬This is a nightly-only experimental API. (portable_simd #86656)

对于每个正 lane 返回真，如果为零或负则返回假。

fn is_negative(self) -> Self::Mask

🔬This is a nightly-only experimental API. (portable_simd #86656)

对于每个负 lane 返回 true，如果为零或正则返回 false。

fn signum(self) -> Self

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回代表每个 lane 符号的数字。

• 0 如果数字为零
• 1 如果数字是正数
• -1 如果数字是负数

fn reduce_sum(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回 vector 的 lane 总和，带包装加法。

Examples

let v = i32x4::from_array([1, 2, 3, 4]);
assert_eq!(v.reduce_sum(), 10);

// SIMD 整数加法总是换行
let v = i32x4::from_array([i32::MAX, 1, 0, 0]);
assert_eq!(v.reduce_sum(), i32::MIN);

fn reduce_product(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回 vector 的 lane 的乘积，带包装乘法。

Examples

let v = i32x4::from_array([1, 2, 3, 4]);
assert_eq!(v.reduce_product(), 24);

// SIMD 整数乘法总是换行
let v = i32x4::from_array([i32::MAX, 2, 1, 1]);
assert!(v.reduce_product() < i32::MAX);

fn reduce_max(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回 vector 中的最大 lane。

Examples

let v = i32x4::from_array([1, 2, 3, 4]);
assert_eq!(v.reduce_max(), 4);

fn reduce_min(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回 vector 中的最小 lane。

Examples

let v = i32x4::from_array([1, 2, 3, 4]);
assert_eq!(v.reduce_min(), 1);

fn reduce_and(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回跨 vector lane 的累积按位与。

fn reduce_or(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回跨 vector lane 的累积按位或。

fn reduce_xor(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (portable_simd #86656)

返回跨 vector lane 的累积按位异或。

Implementors

impl<const LANES: usize> SimdInt for Simd<i8, LANES>where LaneCount<LANES>: SupportedLaneCount,

type Mask = Mask<<i8 as SimdElement>::Mask, LANES>

type Scalar = i8

impl<const LANES: usize> SimdInt for Simd<i16, LANES>where LaneCount<LANES>: SupportedLaneCount,

type Mask = Mask<<i16 as SimdElement>::Mask, LANES>

type Scalar = i16

impl<const LANES: usize> SimdInt for Simd<i32, LANES>where LaneCount<LANES>: SupportedLaneCount,

type Mask = Mask<<i32 as SimdElement>::Mask, LANES>

type Scalar = i32

impl<const LANES: usize> SimdInt for Simd<i64, LANES>where LaneCount<LANES>: SupportedLaneCount,

type Mask = Mask<<i64 as SimdElement>::Mask, LANES>

type Scalar = i64

impl<const LANES: usize> SimdInt for Simd<isize, LANES>where LaneCount<LANES>: SupportedLaneCount,

type Mask = Mask<<isize as SimdElement>::Mask, LANES>

type Scalar = isize