Struct CompensatedSquaredL2 

pub struct CompensatedSquaredL2 { /* private fields */ }

A DistanceFunction containing scaling parameters to enable distance the SquaredL2 distance function over CompensatedVectors belonging to the same quantization space.

Implementations

impl CompensatedSquaredL2

pub fn new(dim: usize) -> Self

Construct a new CompensatedSquaredL2 with the given scaling factor.

Trait Implementations

impl<A> AsFunctor<CompensatedSquaredL2> for SphericalQuantizer<A>

where A: Allocator,

fn as_functor(&self) -> CompensatedSquaredL2

impl Clone for CompensatedSquaredL2

fn clone(&self) -> CompensatedSquaredL2

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CompensatedSquaredL2

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

Formats the value using the given formatter.

impl<A, const NBITS: usize> Target2<A, Result<MathematicalValue<f32>, UnequalLengths>, Slice<&[f32], Ref<'_, FullQueryMeta>>, VectorBase<NBITS, Unsigned, SlicePtr<'_, u8>, Ref<'_, DataMeta>>> for CompensatedSquaredL2

where A: Architecture, Unsigned: Representation<NBITS>, InnerProduct: for<'a> Target2<A, MathematicalResult<f32>, &'a [f32], BitSlice<'a, NBITS, Unsigned>>,

Compute the inner product between a full-precision query and a spherically quantized data vector.

Returns an error if the arguments have different lengths.

fn run( self, arch: A, x: FullQueryRef<'_>, y: DataRef<'_, NBITS>, ) -> MathematicalResult<f32>

Run the operation with the provided Architecture.

impl<A, const NBITS: usize> Target2<A, Result<MathematicalValue<f32>, UnequalLengths>, VectorBase<NBITS, Unsigned, SlicePtr<'_, u8>, Ref<'_, DataMeta>>, VectorBase<NBITS, Unsigned, SlicePtr<'_, u8>, Ref<'_, DataMeta>>> for CompensatedSquaredL2

where A: Architecture, Unsigned: Representation<NBITS>, InnerProduct: for<'a> Target2<A, MathematicalResult<u32>, BitSlice<'a, NBITS, Unsigned>, BitSlice<'a, NBITS, Unsigned>>,

Compute the squared euclidean distance between the two compensated vectors.

The value returned by this function is scaled properly, meaning that distances returned by this method are compatible with full-precision distances.

Validity

The results of this function are only meaningful if both x, y, and Self belong to the same quantizer.

fn run( self, arch: A, x: DataRef<'_, NBITS>, y: DataRef<'_, NBITS>, ) -> MathematicalResult<f32>

Run the operation with the provided Architecture.

impl<A, const Q: usize, const D: usize, Perm> Target2<A, Result<MathematicalValue<f32>, UnequalLengths>, VectorBase<Q, Unsigned, SlicePtr<'_, u8>, Ref<'_, QueryMeta>, Perm>, VectorBase<D, Unsigned, SlicePtr<'_, u8>, Ref<'_, DataMeta>>> for CompensatedSquaredL2

where A: Architecture, Unsigned: Representation<Q> + Representation<D>, Perm: PermutationStrategy<Q>, for<'a> InnerProduct: Target2<A, MathematicalResult<u32>, BitSlice<'a, Q, Unsigned, Perm>, BitSlice<'a, D, Unsigned>>,

fn run( self, arch: A, x: QueryRef<'_, Q, Perm>, y: DataRef<'_, D>, ) -> MathematicalResult<f32>

Run the operation with the provided Architecture.

impl<A, T, U> Target2<A, Result<f32, UnequalLengths>, T, U> for CompensatedSquaredL2

where A: Architecture, Self: Target2<A, MathematicalResult<f32>, T, U>,

A blanket implementation for applying the identity transformation from MathematicalValue to f32 for Euclidean distance computations.

fn run(self, arch: A, x: T, y: U) -> Result<f32>

Run the operation with the provided Architecture.

impl Copy for CompensatedSquaredL2