Struct CosineNormalized 

pub struct CosineNormalized {}

Compute the cosine similarity between two normalized vectors.

Trait Implementations

impl Clone for CosineNormalized

fn clone(&self) -> CosineNormalized

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CosineNormalized

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for CosineNormalized

fn default() -> CosineNormalized

Returns the “default value” for a type.

impl<A, T, L, R> FTarget2<A, T, L, R> for CosineNormalized

where A: Architecture, L: ToSlice, R: ToSlice, Self: Target2<A, T, L, R>,

fn run(arch: A, left: L, right: R) -> T

impl PureDistanceFunction<&[f16], &[f16]> for CosineNormalized

fn evaluate(x: &[Half], y: &[Half]) -> f32

impl PureDistanceFunction<&[f16], &[f16], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[Half], y: &[Half]) -> MathematicalValue<f32>

impl PureDistanceFunction<&[f16], &[f16], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[Half], y: &[Half]) -> SimilarityScore<f32>

impl<const N: usize> PureDistanceFunction<&[f16; N], &[f16; N]> for CosineNormalized

fn evaluate(x: &[Half; N], y: &[Half; N]) -> f32

impl<const N: usize> PureDistanceFunction<&[f16; N], &[f16; N], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[Half; N], y: &[Half; N]) -> MathematicalValue<f32>

impl<const N: usize> PureDistanceFunction<&[f16; N], &[f16; N], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[Half; N], y: &[Half; N]) -> SimilarityScore<f32>

impl PureDistanceFunction<&[f32], &[f16]> for CosineNormalized

fn evaluate(x: &[f32], y: &[Half]) -> f32

impl PureDistanceFunction<&[f32], &[f16], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[f32], y: &[Half]) -> MathematicalValue<f32>

impl PureDistanceFunction<&[f32], &[f16], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[f32], y: &[Half]) -> SimilarityScore<f32>

impl PureDistanceFunction<&[f32], &[f32]> for CosineNormalized

fn evaluate(x: &[f32], y: &[f32]) -> f32

impl PureDistanceFunction<&[f32], &[f32], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[f32], y: &[f32]) -> MathematicalValue<f32>

impl PureDistanceFunction<&[f32], &[f32], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[f32], y: &[f32]) -> SimilarityScore<f32>

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f16; N]> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[Half; N]) -> f32

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f16; N], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[Half; N]) -> MathematicalValue<f32>

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f16; N], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[Half; N]) -> SimilarityScore<f32>

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f32; N]> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[f32; N]) -> f32

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f32; N], MathematicalValue<f32>> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[f32; N]) -> MathematicalValue<f32>

impl<const N: usize> PureDistanceFunction<&[f32; N], &[f32; N], SimilarityScore<f32>> for CosineNormalized

fn evaluate(x: &[f32; N], y: &[f32; N]) -> SimilarityScore<f32>

impl<A, T, L, R> Target2<A, T, L, R> for CosineNormalized

where A: Architecture, L: ToSlice, R: ToSlice, IP: SIMDSchema<L::Target, R::Target, A>, Self: PostOp<<IP as SIMDSchema<L::Target, R::Target, A>>::Return, T>,

fn run(self, arch: A, left: L, right: R) -> T

Run the operation with the provided Architecture.

impl Copy for CosineNormalized