diff options
-rw-r--r-- | benches/benches.rs | 94 |
1 files changed, 48 insertions, 46 deletions
diff --git a/benches/benches.rs b/benches/benches.rs index 3e67c2a..39368d2 100644 --- a/benches/benches.rs +++ b/benches/benches.rs @@ -6,7 +6,7 @@ use acap::kd::{FlatKdTree, KdTree}; use acap::vp::{FlatVpTree, VpTree}; use acap::NearestNeighbors; -use criterion::{black_box, criterion_group, criterion_main, Criterion}; +use criterion::{black_box, criterion_group, criterion_main, BatchSize, Criterion}; use std::iter::FromIterator; @@ -31,15 +31,27 @@ fn spiral() -> Vec<Point> { points } -fn bench_from_iter(c: &mut Criterion) { +fn bench_creation(c: &mut Criterion) { let points = black_box(spiral()); - let mut group = c.benchmark_group("from_iter"); - group.bench_function("ExhaustiveSearch", |b| b.iter(|| ExhaustiveSearch::from_iter(points.clone()))); - group.bench_function("VpTree", |b| b.iter(|| VpTree::from_iter(points.clone()))); - group.bench_function("FlatVpTree", |b| b.iter(|| FlatVpTree::from_iter(points.clone()))); - group.bench_function("KdTree", |b| b.iter(|| KdTree::from_iter(points.clone()))); - group.bench_function("FlatKdTree", |b| b.iter(|| FlatKdTree::from_iter(points.clone()))); + let mut group = c.benchmark_group("Creation"); + + macro_rules! bench { + ($type:ident) => { + group.bench_function(stringify!($type), |b| b.iter_batched( + || points.clone(), + |points| $type::from_iter(points), + BatchSize::SmallInput, + )); + }; + } + + bench!(ExhaustiveSearch); + bench!(VpTree); + bench!(FlatVpTree); + bench!(KdTree); + bench!(FlatKdTree); + group.finish(); } @@ -47,44 +59,34 @@ fn bench_nearest_neighbors(c: &mut Criterion) { let points = black_box(spiral()); let target = black_box(Euclidean([0.0, 0.0, 0.0])); - let exhaustive = ExhaustiveSearch::from_iter(points.clone()); - let vp_tree = VpTree::from_iter(points.clone()); - let flat_vp_tree = FlatVpTree::from_iter(points.clone()); - let kd_tree = KdTree::from_iter(points.clone()); - let flat_kd_tree = FlatKdTree::from_iter(points.clone()); - - let mut nearest = c.benchmark_group("NearestNeighbors::nearest"); - nearest.bench_function("ExhaustiveSearch", |b| b.iter(|| exhaustive.nearest(&target))); - nearest.bench_function("VpTree", |b| b.iter(|| vp_tree.nearest(&target))); - nearest.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.nearest(&target))); - nearest.bench_function("KdTree", |b| b.iter(|| kd_tree.nearest(&target))); - nearest.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.nearest(&target))); - nearest.finish(); - - let mut nearest_within = c.benchmark_group("NearestNeighbors::nearest_within"); - nearest_within.bench_function("ExhaustiveSearch", |b| b.iter(|| exhaustive.nearest_within(&target, 0.1))); - nearest_within.bench_function("VpTree", |b| b.iter(|| vp_tree.nearest_within(&target, 0.1))); - nearest_within.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.nearest_within(&target, 0.1))); - nearest_within.bench_function("KdTree", |b| b.iter(|| kd_tree.nearest_within(&target, 0.1))); - nearest_within.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.nearest_within(&target, 0.1))); - nearest_within.finish(); - - let mut k_nearest = c.benchmark_group("NearestNeighbors::k_nearest"); - k_nearest.bench_function("ExhaustiveSearch", |b| b.iter(|| exhaustive.k_nearest(&target, 3))); - k_nearest.bench_function("VpTree", |b| b.iter(|| vp_tree.k_nearest(&target, 3))); - k_nearest.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.k_nearest(&target, 3))); - k_nearest.bench_function("KdTree", |b| b.iter(|| kd_tree.k_nearest(&target, 3))); - k_nearest.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.k_nearest(&target, 3))); - k_nearest.finish(); - - let mut k_nearest_within = c.benchmark_group("NearestNeighbors::k_nearest_within"); - k_nearest_within.bench_function("ExhaustiveSearch", |b| b.iter(|| exhaustive.k_nearest_within(&target, 3, 0.1))); - k_nearest_within.bench_function("VpTree", |b| b.iter(|| vp_tree.k_nearest_within(&target, 3, 0.1))); - k_nearest_within.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.k_nearest_within(&target, 3, 0.1))); - k_nearest_within.bench_function("KdTree", |b| b.iter(|| kd_tree.k_nearest_within(&target, 3, 0.1))); - k_nearest_within.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.k_nearest_within(&target, 3, 0.1))); - k_nearest_within.finish(); + macro_rules! bench { + ($type:ident) => { + let mut group = c.benchmark_group(stringify!($type)); + let index = $type::from_iter(points.clone()); + + group.bench_function("nearest", |b| b.iter( + || index.nearest(&target)) + ); + group.bench_function("nearest_within", |b| b.iter( + || index.nearest_within(&target, 0.1)) + ); + group.bench_function("k_nearest", |b| b.iter( + || index.k_nearest(&target, 3)) + ); + group.bench_function("k_nearest_within", |b| b.iter( + || index.k_nearest_within(&target, 3, 0.1)) + ); + + group.finish(); + }; + } + + bench!(ExhaustiveSearch); + bench!(VpTree); + bench!(FlatVpTree); + bench!(KdTree); + bench!(FlatKdTree); } -criterion_group!(benches, bench_from_iter, bench_nearest_neighbors); +criterion_group!(benches, bench_creation, bench_nearest_neighbors); criterion_main!(benches); |