nalgebra/benches/linalg/lu.rs

128 lines
3.5 KiB
Rust

use na::{DMatrix, DVector, LU};
// Without unpack.
fn lu_decompose_10x10(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(10, 10);
bh.bench_function("lu_decompose_10x10", move |bh| {
bh.iter(|| std::hint::black_box(LU::new(m.clone())))
});
}
fn lu_decompose_100x100(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(100, 100);
bh.bench_function("lu_decompose_100x100", move |bh| {
bh.iter(|| std::hint::black_box(LU::new(m.clone())))
});
}
fn lu_decompose_500x500(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(500, 500);
bh.bench_function("lu_decompose_500x500", move |bh| {
bh.iter(|| std::hint::black_box(LU::new(m.clone())))
});
}
fn lu_solve_10x10(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(10, 10);
let lu = LU::new(m.clone());
bh.bench_function("lu_solve_10x10", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(10, 1.0);
lu.solve(&mut b);
})
});
}
fn lu_solve_100x100(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(100, 100);
let lu = LU::new(m.clone());
bh.bench_function("lu_solve_100x100", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(100, 1.0);
lu.solve(&mut b);
})
});
}
fn lu_solve_500x500(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(500, 500);
let lu = LU::new(m.clone());
bh.bench_function("", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(500, 1.0);
lu.solve(&mut b);
})
});
}
fn lu_inverse_10x10(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(10, 10);
let lu = LU::new(m.clone());
bh.bench_function("lu_inverse_10x10", move |bh| {
bh.iter(|| std::hint::black_box(lu.try_inverse()))
});
}
fn lu_inverse_100x100(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(100, 100);
let lu = LU::new(m.clone());
bh.bench_function("lu_inverse_100x100", move |bh| {
bh.iter(|| std::hint::black_box(lu.try_inverse()))
});
}
fn lu_inverse_500x500(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(500, 500);
let lu = LU::new(m.clone());
bh.bench_function("lu_inverse_500x500", move |bh| {
bh.iter(|| std::hint::black_box(lu.try_inverse()))
});
}
fn lu_determinant_10x10(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(10, 10);
let lu = LU::new(m.clone());
bh.bench_function("lu_determinant_10x10", move |bh| {
bh.iter(|| std::hint::black_box(lu.determinant()))
});
}
fn lu_determinant_100x100(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(100, 100);
let lu = LU::new(m.clone());
bh.bench_function("lu_determinant_100x100", move |bh| {
bh.iter(|| std::hint::black_box(lu.determinant()))
});
}
fn lu_determinant_500x500(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(500, 500);
let lu = LU::new(m.clone());
bh.bench_function("", move |bh| {
bh.iter(|| std::hint::black_box(lu.determinant()))
});
}
criterion_group!(
lu,
lu_decompose_10x10,
lu_decompose_100x100,
// lu_decompose_500x500,
lu_solve_10x10,
lu_solve_100x100,
lu_inverse_10x10,
lu_inverse_100x100,
// lu_inverse_500x500,
lu_determinant_10x10,
lu_determinant_100x100
);