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//! Safe but somewhat low-level variants of the distance operations in CFAVML.
//!
//! In general, I would recommend using the higher level generic functions api which provides
//! some syntax sugar over these traits.
use crate::danger::export_distance_ops;
/// Various spacial distance operations between vectors.
pub trait DistanceOps: Sized {
/// Calculates the cosine similarity distance of vectors `a` and `b` of size `dims`.
///
/// ### Pseudocode
///
/// ```ignore
/// result = 0
/// norm_a = 0
/// norm_b = 0
///
/// for i in range(dims):
/// result += a[i] * b[i]
/// norm_a += a[i] ** 2
/// norm_b += b[i] ** 2
///
/// if norm_a == 0.0 and norm_b == 0.0:
/// return 0.0
/// elif norm_a == 0.0 or norm_b == 0.0:
/// return 1.0
/// else:
/// return 1.0 - (result / sqrt(norm_a * norm_b))
/// ```
///
/// ### Panics
///
/// This function will panic if vectors `a` and `b` do not match size `dims`.
fn cosine(dims: usize, a: &[Self], b: &[Self]) -> Self;
/// Calculates the cosine similarity distance of vectors `a` and `b` of size `dims`.
///
/// ### Pseudocode
///
/// ```ignore
/// result = 0
///
/// for i in range(dims):
/// result += a[i] * b[i]
///
/// return result
/// ```
///
/// ### Panics
///
/// This function will panic if vectors `a` and `b` do not match size `dims`.
fn dot(dims: usize, a: &[Self], b: &[Self]) -> Self;
/// Calculates the squared Euclidean distance of vectors `a` and `b` of size `dims`.
///
/// ### Pseudocode
///
/// ```ignore
/// result = 0
///
/// for i in range(dims):
/// diff = a[i] - b[i]
/// result += diff * diff
///
/// return result
/// ```
///
/// ### Panics
///
/// This function will panic if vectors `a` and `b` do not match size `dims`.
fn squared_euclidean(dims: usize, a: &[Self], b: &[Self]) -> Self;
/// Calculates the squared L2 norm of vector `a` of size `dims`.
///
/// ### Pseudocode
///
/// ```ignore
/// result = 0
///
/// for i in range(dims):
/// result += a[i] * a[i]
///
/// return result
/// ```
///
/// ### Panics
///
/// This function will panic if vectors `a` does not match size `dims`.
fn squared_norm(dims: usize, a: &[Self]) -> Self;
}
macro_rules! float_distance_ops {
($t:ty) => {
impl DistanceOps for $t {
fn cosine(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_cosine,
avx2fma = export_distance_ops::generic_avx2fma_cosine,
avx2 = export_distance_ops::generic_avx2_cosine,
neon = export_distance_ops::generic_neon_cosine,
fallback = export_distance_ops::generic_fallback_cosine,
args = (dims, a, b)
)
}
}
fn dot(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_dot,
avx2fma = export_distance_ops::generic_avx2fma_dot,
avx2 = export_distance_ops::generic_avx2_dot,
neon = export_distance_ops::generic_neon_dot,
fallback = export_distance_ops::generic_fallback_dot,
args = (dims, a, b)
)
}
}
fn squared_euclidean(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_squared_euclidean,
avx2fma = export_distance_ops::generic_avx2fma_squared_euclidean,
avx2 = export_distance_ops::generic_avx2_squared_euclidean,
neon = export_distance_ops::generic_neon_squared_euclidean,
fallback =
export_distance_ops::generic_fallback_squared_euclidean,
args = (dims, a, b)
)
}
}
fn squared_norm(dims: usize, a: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_squared_norm,
avx2fma = export_distance_ops::generic_avx2fma_squared_norm,
avx2 = export_distance_ops::generic_avx2_squared_norm,
neon = export_distance_ops::generic_neon_squared_norm,
fallback = export_distance_ops::generic_fallback_squared_norm,
args = (dims, a)
)
}
}
}
};
}
macro_rules! scalar_distance_ops {
($t:ty) => {
impl DistanceOps for $t {
fn cosine(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_cosine,
avx2 = export_distance_ops::generic_avx2_cosine,
neon = export_distance_ops::generic_neon_cosine,
fallback = export_distance_ops::generic_fallback_cosine,
args = (dims, a, b)
)
}
}
fn dot(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_dot,
avx2 = export_distance_ops::generic_avx2_dot,
neon = export_distance_ops::generic_neon_dot,
fallback = export_distance_ops::generic_fallback_dot,
args = (dims, a, b)
)
}
}
fn squared_euclidean(dims: usize, a: &[Self], b: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
assert_eq!(b.len(), dims, "Input vector `b` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_squared_euclidean,
avx2 = export_distance_ops::generic_avx2_squared_euclidean,
neon = export_distance_ops::generic_neon_squared_euclidean,
fallback =
export_distance_ops::generic_fallback_squared_euclidean,
args = (dims, a, b)
)
}
}
fn squared_norm(dims: usize, a: &[Self]) -> Self {
assert_eq!(a.len(), dims, "Input vector `a` does not match size `dims`");
unsafe {
crate::dispatch!(
avx512 = export_distance_ops::generic_avx512_squared_norm,
avx2 = export_distance_ops::generic_avx2_squared_norm,
neon = export_distance_ops::generic_neon_squared_norm,
fallback = export_distance_ops::generic_fallback_squared_norm,
args = (dims, a)
)
}
}
}
};
}
float_distance_ops!(f32);
float_distance_ops!(f64);
scalar_distance_ops!(i8);
scalar_distance_ops!(i16);
scalar_distance_ops!(i32);
scalar_distance_ops!(i64);
scalar_distance_ops!(u8);
scalar_distance_ops!(u16);
scalar_distance_ops!(u32);
scalar_distance_ops!(u64);