use arcweight::prelude::*;
use criterion::{criterion_group, criterion_main, Criterion};
#[cfg(feature = "parallel")]
use rayon::prelude::*;
use std::hint::black_box;
use std::time::Duration;
fn create_parallel_test_fst(n: usize) -> VectorFst<TropicalWeight> {
let mut fst = VectorFst::new();
let mut states = Vec::new();
for _ in 0..=n {
states.push(fst.add_state());
}
fst.set_start(states[0]);
fst.set_final(states[n], TropicalWeight::one());
for i in 0..n {
for j in 1..=5 {
fst.add_arc(
states[i],
Arc::new(
j as u32,
j as u32,
TropicalWeight::new(j as f32),
states[i + 1],
),
);
}
}
fst
}
pub fn bench_parallel_composition(c: &mut Criterion) {
let mut group = c.benchmark_group("parallel_composition");
group.measurement_time(Duration::from_secs(10));
let small_fst = create_parallel_test_fst(100);
let medium_fst = create_parallel_test_fst(500);
let large_fst = create_parallel_test_fst(1000);
group.bench_function("small_fst_parallel_compose", |b| {
b.iter(|| {
let fst1 = black_box(&small_fst);
let fst2 = black_box(&small_fst);
let result: VectorFst<TropicalWeight> = compose_default(fst1, fst2).unwrap();
black_box(result);
})
});
group.bench_function("medium_fst_parallel_compose", |b| {
b.iter(|| {
let fst1 = black_box(&medium_fst);
let fst2 = black_box(&medium_fst);
let result: VectorFst<TropicalWeight> = compose_default(fst1, fst2).unwrap();
black_box(result);
})
});
group.bench_function("large_fst_parallel_compose", |b| {
b.iter(|| {
let fst1 = black_box(&large_fst);
let fst2 = black_box(&large_fst);
let result: VectorFst<TropicalWeight> = compose_default(fst1, fst2).unwrap();
black_box(result);
})
});
group.finish();
}
pub fn bench_parallel_shortest_path(c: &mut Criterion) {
let mut group = c.benchmark_group("parallel_shortest_path");
group.measurement_time(Duration::from_secs(10));
let small_fst = create_parallel_test_fst(100);
let medium_fst = create_parallel_test_fst(500);
let large_fst = create_parallel_test_fst(1000);
group.bench_function("small_fst_parallel_shortest_path", |b| {
b.iter(|| {
let fst = black_box(&small_fst);
let result: VectorFst<TropicalWeight> = shortest_path_single(fst).unwrap();
black_box(result);
})
});
group.bench_function("medium_fst_parallel_shortest_path", |b| {
b.iter(|| {
let fst = black_box(&medium_fst);
let result: VectorFst<TropicalWeight> = shortest_path_single(fst).unwrap();
black_box(result);
})
});
group.bench_function("large_fst_parallel_shortest_path", |b| {
b.iter(|| {
let fst = black_box(&large_fst);
let result: VectorFst<TropicalWeight> = shortest_path_single(fst).unwrap();
black_box(result);
})
});
group.finish();
}
pub fn bench_parallel_arc_processing(c: &mut Criterion) {
let mut group = c.benchmark_group("parallel_arc_processing");
group.measurement_time(Duration::from_secs(10));
let small_fst = create_parallel_test_fst(100);
let medium_fst = create_parallel_test_fst(500);
let large_fst = create_parallel_test_fst(1000);
#[cfg(feature = "parallel")]
group.bench_function("small_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&small_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.par_iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
#[cfg(not(feature = "parallel"))]
group.bench_function("small_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&small_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
#[cfg(feature = "parallel")]
group.bench_function("medium_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&medium_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.par_iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
#[cfg(not(feature = "parallel"))]
group.bench_function("medium_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&medium_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
#[cfg(feature = "parallel")]
group.bench_function("large_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&large_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.par_iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
#[cfg(not(feature = "parallel"))]
group.bench_function("large_fst_parallel_arc_sum", |b| {
b.iter(|| {
let fst = black_box(&large_fst);
let states: Vec<_> = fst.states().collect();
let sum: f32 = states
.iter()
.flat_map(|state| fst.arcs(*state).collect::<Vec<_>>())
.map(|arc| *arc.weight.value())
.sum();
black_box(sum);
})
});
group.finish();
}
criterion_group!(
benches,
bench_parallel_composition,
bench_parallel_shortest_path,
bench_parallel_arc_processing
);
criterion_main!(benches);