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)

Operations on SIMD vectors of signed integers.

Required Associated Types

type Mask

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

Mask type used for manipulating this SIMD vector type.

type Scalar

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

Scalar type contained by this SIMD vector type.

Required Methods

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

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

Lanewise saturating add.

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 saturating subtract.

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 absolute value, implemented in Rust. Every lane becomes its absolute value.

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 saturating absolute value, implemented in Rust. As abs(), except the MIN value becomes MAX instead of itself.

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 saturating negation, implemented in Rust. As neg(), except the MIN value becomes MAX instead of itself.

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)

Returns true for each positive lane and false if it is zero or negative.

fn is_negative(self) -> Self::Mask

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

Returns true for each negative lane and false if it is zero or positive.

fn signum(self) -> Self

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

Returns numbers representing the sign of each lane.

• 0 if the number is zero
• 1 if the number is positive
• -1 if the number is negative

fn reduce_sum(self) -> Self::Scalar

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

Returns the sum of the lanes of the vector, with wrapping addition.

Examples

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

// SIMD integer addition is always wrapping
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)

Returns the product of the lanes of the vector, with wrapping multiplication.

Examples

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

// SIMD integer multiplication is always wrapping
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)

Returns the maximum lane in the vector.

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)

Returns the minimum lane in the vector.

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)

Returns the cumulative bitwise “and” across the lanes of the vector.

fn reduce_or(self) -> Self::Scalar

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

Returns the cumulative bitwise “or” across the lanes of the vector.

fn reduce_xor(self) -> Self::Scalar

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

Returns the cumulative bitwise “xor” across the lanes of the vector.

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