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use super::L1;
use crate::base_traits::Metric;
use crate::points::*;
use packed_simd::*;
use std::ops::Deref;
macro_rules! make_l1_distance {
($base:ident, $simd_16_base:ident, $simd_8_base:ident, $sparse_base:ident, $dist_base:ident, $norm_base:ident) => {
#[inline]
pub fn $dist_base(mut x: &[$base], mut y: &[$base]) -> f32 {
let mut d_acc_16 = f32x16::splat(0.0);
while y.len() > 16 {
let x_simd = $simd_16_base::from_slice_unaligned(x);
let y_simd = $simd_16_base::from_slice_unaligned(y);
let x_simd_f32 = f32x16::from_cast(x_simd);
let y_simd_f32 = f32x16::from_cast(y_simd);
let diff = x_simd_f32 - y_simd_f32;
d_acc_16 += diff.abs();
y = &y[16..];
x = &x[16..];
}
let mut d_acc_8 = f32x8::splat(0.0);
if y.len() > 8 {
let x_simd = $simd_8_base::from_slice_unaligned(x);
let y_simd = $simd_8_base::from_slice_unaligned(y);
let x_simd_f32 = f32x8::from_cast(x_simd);
let y_simd_f32 = f32x8::from_cast(y_simd);
let diff = x_simd_f32 - y_simd_f32;
d_acc_8 += diff.abs();
y = &y[8..];
x = &x[8..];
}
let leftover = y
.iter()
.zip(x)
.map(|(xi, yi)| (*xi as f32 - *yi as f32).abs())
.fold(0.0, |acc, y| acc + y);
leftover + d_acc_8.sum() + d_acc_16.sum()
}
#[inline]
pub fn $norm_base(mut x: &[$base]) -> f32 {
let mut d_acc_16 = f32x16::splat(0.0);
while x.len() > 16 {
let x_simd = $simd_16_base::from_slice_unaligned(x);
let x_simd_f32 = f32x16::from_cast(x_simd);
d_acc_16 += x_simd_f32.abs();
x = &x[16..];
}
let mut d_acc_8 = f32x8::splat(0.0);
if x.len() > 8 {
let x_simd = $simd_8_base::from_slice_unaligned(x);
let x_simd_f32 = f32x8::from_cast(x_simd);
d_acc_8 += x_simd_f32.abs();
x = &x[8..];
}
let leftover = x
.iter()
.map(|xi| (*xi as f32).abs())
.fold(0.0, |acc, y| acc + y);
leftover + d_acc_8.sum() + d_acc_16.sum()
}
pub fn $sparse_base<S>(x_ind: &[S], x_val: &[$base], y_ind: &[S], y_val: &[$base]) -> f32
where
S: Ord,
{
if x_val.is_empty() || y_val.is_empty() {
if x_val.is_empty() && y_val.is_empty() {
return 0.0;
}
if !x_val.is_empty() && y_val.is_empty() {
$norm_base(x_val)
} else {
$norm_base(y_val)
}
} else {
let mut total = 0.0;
let (short_iter, mut long_iter) = if x_ind.len() > y_ind.len() {
(y_ind.iter().zip(y_val), x_ind.iter().zip(x_val))
} else {
(x_ind.iter().zip(x_val), y_ind.iter().zip(y_val))
};
let mut l_tr: Option<(&S, &$base)> = long_iter.next();
for (si, sv) in short_iter {
while let Some((li, lv)) = l_tr {
if li < si {
total += (*lv as f32).abs();
l_tr = long_iter.next();
} else {
break;
}
}
if let Some((li, lv)) = l_tr {
if li == si {
let val = (*sv as f32) - (*lv as f32);
total += val.abs();
l_tr = long_iter.next();
} else {
total += (*sv as f32).abs();
}
} else {
total += (*sv as f32).abs();
}
}
while let Some((_li, lv)) = l_tr {
total += (*lv as f32).abs();
l_tr = long_iter.next();
}
total
}
}
impl Metric<[$base]> for L1 {
fn dist(x: &[$base], y: &[$base]) -> f32 {
$dist_base(x.deref(), y.deref()).sqrt()
}
}
impl<'a> Metric<RawSparse<$base, u32>> for L1 {
fn dist(x: &RawSparse<$base, u32>, y: &RawSparse<$base, u32>) -> f32 {
$sparse_base(x.indexes(), x.values(), y.indexes(), y.values()).sqrt()
}
}
impl<'a> Metric<RawSparse<$base, u16>> for L1 {
fn dist(x: &RawSparse<$base, u16>, y: &RawSparse<$base, u16>) -> f32 {
$sparse_base(x.indexes(), x.values(), y.indexes(), y.values()).sqrt()
}
}
impl<'a> Metric<RawSparse<$base, u8>> for L1 {
fn dist(x: &RawSparse<$base, u8>, y: &RawSparse<$base, u8>) -> f32 {
$sparse_base(x.indexes(), x.values(), y.indexes(), y.values()).sqrt()
}
}
};
}
make_l1_distance!(i8, i8x16, i8x8, l1_sparse_i8_f32, l1_dense_i8, l1_norm_i8);
make_l1_distance!(u8, u8x16, u8x8, l1_sparse_u8_f32, l1_dense_u8, l1_norm_u8);
make_l1_distance!(
i16,
i16x16,
i16x8,
l1_sparse_i16_f32,
l1_dense_i16,
l1_norm_i16
);
make_l1_distance!(
u16,
u16x16,
u16x8,
l1_sparse_u16_f32,
l1_dense_u16,
l1_norm_u16
);
make_l1_distance!(
i32,
i32x16,
i32x8,
l1_sparse_i32_f32,
l1_dense_i32,
l1_norm_i32
);
make_l1_distance!(
u32,
u32x16,
u32x8,
l1_sparse_u32_f32,
l1_dense_u32,
l1_norm_u32
);