Trait core::simd::SimdUint

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pub trait SimdUint: Copy + Sealed {
    type Scalar;

    // Required methods
    fn saturating_add(self, second: Self) -> Self;
    fn saturating_sub(self, second: 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)

Expand description

对无符号整数的 SIMD vectors 的操作。

Required Associated Types§

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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§

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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::u32::MAX;
let x = Simd::from_array([2, 1, 0, MAX]);
let max = Simd::splat(MAX);
let unsat = x + max;
let sat = x.saturating_add(max);
assert_eq!(unsat, Simd::from_array([1, 0, MAX, MAX - 1]));
assert_eq!(sat, max);

Run

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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::u32::MAX;
let x = Simd::from_array([2, 1, 0, MAX]);
let max = Simd::splat(MAX);
let unsat = x - max;
let sat = x.saturating_sub(max);
assert_eq!(unsat, Simd::from_array([3, 2, 1, 0]));
assert_eq!(sat, Simd::splat(0));