Trait SimdOps 

pub trait SimdOps {
    // Required methods
    fn add(a: &[Self], b: &[Self]) -> Vec<Self>
       where Self: Sized;
    fn sub(a: &[Self], b: &[Self]) -> Vec<Self>
       where Self: Sized;
    fn mul(a: &[Self], b: &[Self]) -> Vec<Self>
       where Self: Sized;
    fn dot(a: &[Self], b: &[Self]) -> Self
       where Self: Sized;
    fn cosine_distance(a: &[Self], b: &[Self]) -> Self
       where Self: Sized;
    fn euclidean_distance(a: &[Self], b: &[Self]) -> Self
       where Self: Sized;
    fn manhattan_distance(a: &[Self], b: &[Self]) -> Self
       where Self: Sized;
    fn norm(a: &[Self]) -> Self
       where Self: Sized;
    fn sum(a: &[Self]) -> Self
       where Self: Sized;
    fn mean(a: &[Self]) -> Self
       where Self: Sized;
}

Unified SIMD operations trait

Required Methods

fn add(a: &[Self], b: &[Self]) -> Vec<Self>

where Self: Sized,

Add two slices element-wise

fn sub(a: &[Self], b: &[Self]) -> Vec<Self>

where Self: Sized,

Subtract two slices element-wise

fn mul(a: &[Self], b: &[Self]) -> Vec<Self>

where Self: Sized,

Multiply two slices element-wise

fn dot(a: &[Self], b: &[Self]) -> Self

where Self: Sized,

Compute dot product

fn cosine_distance(a: &[Self], b: &[Self]) -> Self

where Self: Sized,

Compute cosine distance (1 - cosine_similarity)

fn euclidean_distance(a: &[Self], b: &[Self]) -> Self

where Self: Sized,

Compute Euclidean distance

fn manhattan_distance(a: &[Self], b: &[Self]) -> Self

where Self: Sized,

Compute Manhattan distance

fn norm(a: &[Self]) -> Self

where Self: Sized,

Compute L2 norm

fn sum(a: &[Self]) -> Self

where Self: Sized,

Sum all elements

fn mean(a: &[Self]) -> Self

where Self: Sized,

Compute mean

Implementations on Foreign Types

impl SimdOps for f32

SIMD implementation for f32

fn add(a: &[Self], b: &[Self]) -> Vec<Self>

fn sub(a: &[Self], b: &[Self]) -> Vec<Self>

fn mul(a: &[Self], b: &[Self]) -> Vec<Self>

fn dot(a: &[Self], b: &[Self]) -> Self

fn cosine_distance(a: &[Self], b: &[Self]) -> Self

fn euclidean_distance(a: &[Self], b: &[Self]) -> Self

fn manhattan_distance(a: &[Self], b: &[Self]) -> Self

fn norm(a: &[Self]) -> Self

fn sum(a: &[Self]) -> Self

fn mean(a: &[Self]) -> Self

impl SimdOps for f64

SIMD implementation for f64

fn add(a: &[Self], b: &[Self]) -> Vec<Self>

fn sub(a: &[Self], b: &[Self]) -> Vec<Self>

fn mul(a: &[Self], b: &[Self]) -> Vec<Self>

fn dot(a: &[Self], b: &[Self]) -> Self

fn cosine_distance(a: &[Self], b: &[Self]) -> Self

fn euclidean_distance(a: &[Self], b: &[Self]) -> Self

fn manhattan_distance(a: &[Self], b: &[Self]) -> Self

fn norm(a: &[Self]) -> Self

fn sum(a: &[Self]) -> Self

fn mean(a: &[Self]) -> Self

Implementors