Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 4 additions & 0 deletions Cargo.lock

Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

6 changes: 6 additions & 0 deletions crates/ruvector-spann/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -13,3 +13,9 @@ path = "src/bin/benchmark.rs"
[dependencies]

[dev-dependencies]
criterion = { workspace = true }
rand = { workspace = true }

[[bench]]
name = "distance"
harness = false
42 changes: 42 additions & 0 deletions crates/ruvector-spann/benches/distance.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion};
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use ruvector_spann::distance::{cosine_distance, l2_squared};

const DIMENSIONS: [usize; 4] = [128, 384, 768, 1536];
const SEED: u64 = 0x5eed_5eed_5eed_5eed;

fn random_vector(rng: &mut StdRng, dim: usize) -> Vec<f32> {
(0..dim).map(|_| rng.gen_range(-1.0f32..1.0)).collect()
}

fn bench_l2_squared(c: &mut Criterion) {
let mut group = c.benchmark_group("l2_squared");
for &dim in DIMENSIONS.iter() {
let mut rng = StdRng::seed_from_u64(SEED);
let a = random_vector(&mut rng, dim);
let b = random_vector(&mut rng, dim);

group.bench_with_input(BenchmarkId::from_parameter(dim), &dim, |bench, _| {
bench.iter(|| black_box(l2_squared(black_box(&a), black_box(&b))));
});
}
group.finish();
}

fn bench_cosine_distance(c: &mut Criterion) {
let mut group = c.benchmark_group("cosine_distance");
for &dim in DIMENSIONS.iter() {
let mut rng = StdRng::seed_from_u64(SEED);
let a = random_vector(&mut rng, dim);
let b = random_vector(&mut rng, dim);

group.bench_with_input(BenchmarkId::from_parameter(dim), &dim, |bench, _| {
bench.iter(|| black_box(cosine_distance(black_box(&a), black_box(&b))));
});
}
group.finish();
}

criterion_group!(benches, bench_l2_squared, bench_cosine_distance);
criterion_main!(benches);
Loading