Trait core::simd::SimdUint

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pub trait SimdUint: Copy + Sealed {
    type Scalar;
    type Cast<T: SimdElement>;

    // Required methods
    fn cast<T: SimdCast>(self) -> Self::Cast<T>;
    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

Operations on SIMD vectors of unsigned integers.

Required Associated Types§

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type Scalar

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

Scalar type contained by this SIMD vector type.

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type Cast<T: SimdElement>

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

A SIMD vector with a different element type.

Required Methods§

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fn cast<T: SimdCast>(self) -> Self::Cast<T>

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

Performs elementwise conversion of this vector’s elements to another SIMD-valid type.

This follows the semantics of Rust’s as conversion for casting integers (wrapping to other integer types, and saturating to float types).

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

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

Lanewise saturating add.

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 saturating subtract.

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));
Run
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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.

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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.

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fn reduce_max(self) -> Self::Scalar

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

Returns the maximum lane in the vector.

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fn reduce_min(self) -> Self::Scalar

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

Returns the minimum lane in the vector.

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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.

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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.

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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§

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impl<const LANES: usize> SimdUint for Simd<u8, LANES>where LaneCount<LANES>: SupportedLaneCount,

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type Scalar = u8

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type Cast<T: SimdElement> = Simd<T, LANES>

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impl<const LANES: usize> SimdUint for Simd<u16, LANES>where LaneCount<LANES>: SupportedLaneCount,

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type Scalar = u16

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type Cast<T: SimdElement> = Simd<T, LANES>

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impl<const LANES: usize> SimdUint for Simd<u32, LANES>where LaneCount<LANES>: SupportedLaneCount,

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type Scalar = u32

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type Cast<T: SimdElement> = Simd<T, LANES>

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impl<const LANES: usize> SimdUint for Simd<u64, LANES>where LaneCount<LANES>: SupportedLaneCount,

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type Scalar = u64

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type Cast<T: SimdElement> = Simd<T, LANES>

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

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type Scalar = usize

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type Cast<T: SimdElement> = Simd<T, LANES>