nalgebra/benches/linalg/cholesky.rs

110 lines
2.5 KiB
Rust

use test::{self, Bencher};
use na::{Cholesky, DMatrix, DVector};
#[bench]
fn cholesky_100x100(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(100, 100);
let m = &m * m.transpose();
bh.iter(|| test::black_box(Cholesky::new(m.clone())))
}
#[bench]
fn cholesky_500x500(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(500, 500);
let m = &m * m.transpose();
bh.iter(|| test::black_box(Cholesky::new(m.clone())))
}
// With unpack.
#[bench]
fn cholesky_decompose_unpack_100x100(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(100, 100);
let m = &m * m.transpose();
bh.iter(|| {
let chol = Cholesky::new(m.clone()).unwrap();
let _ = chol.unpack();
})
}
#[bench]
fn cholesky_decompose_unpack_500x500(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(500, 500);
let m = &m * m.transpose();
bh.iter(|| {
let chol = Cholesky::new(m.clone()).unwrap();
let _ = chol.unpack();
})
}
#[bench]
fn cholesky_solve_10x10(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(10, 10);
let m = &m * m.transpose();
let v = DVector::<f64>::new_random(10);
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.solve(&v);
})
}
#[bench]
fn cholesky_solve_100x100(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(100, 100);
let m = &m * m.transpose();
let v = DVector::<f64>::new_random(100);
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.solve(&v);
})
}
#[bench]
fn cholesky_solve_500x500(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(500, 500);
let m = &m * m.transpose();
let v = DVector::<f64>::new_random(500);
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.solve(&v);
})
}
#[bench]
fn cholesky_inverse_10x10(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(10, 10);
let m = &m * m.transpose();
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.inverse();
})
}
#[bench]
fn cholesky_inverse_100x100(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(100, 100);
let m = &m * m.transpose();
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.inverse();
})
}
#[bench]
fn cholesky_inverse_500x500(bh: &mut Bencher) {
let m = DMatrix::<f64>::new_random(500, 500);
let m = &m * m.transpose();
let chol = Cholesky::new(m.clone()).unwrap();
bh.iter(|| {
let _ = chol.inverse();
})
}