nalgebra/benches/linalg/svd.rs

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use na::{Matrix4, SVD};
2018-11-07 01:32:20 +08:00
use test::{self, Bencher};
#[bench]
fn svd_decompose_4x4(bh: &mut Bencher) {
let m = Matrix4::<f64>::new_random();
bh.iter(|| test::black_box(SVD::new(m.clone(), true, true)))
}
#[bench]
fn svd_decompose_10x10(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(10, 10);
bh.iter(|| test::black_box(SVD::new(m.clone(), true, true)))
}
#[bench]
fn svd_decompose_100x100(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(100, 100);
bh.iter(|| test::black_box(SVD::new(m.clone(), true, true)))
}
#[bench]
fn svd_decompose_200x200(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(200, 200);
bh.iter(|| test::black_box(SVD::new(m.clone(), true, true)))
}
#[bench]
fn rank_4x4(bh: &mut Bencher) {
let m = Matrix4::<f64>::new_random();
bh.iter(|| test::black_box(m.rank(1.0e-10)))
}
#[bench]
fn rank_10x10(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(10, 10);
bh.iter(|| test::black_box(m.rank(1.0e-10)))
}
#[bench]
fn rank_100x100(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(100, 100);
bh.iter(|| test::black_box(m.rank(1.0e-10)))
}
#[bench]
fn rank_200x200(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(200, 200);
bh.iter(|| test::black_box(m.rank(1.0e-10)))
}
#[bench]
fn singular_values_4x4(bh: &mut Bencher) {
let m = Matrix4::<f64>::new_random();
bh.iter(|| test::black_box(m.singular_values()))
}
#[bench]
fn singular_values_10x10(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(10, 10);
bh.iter(|| test::black_box(m.singular_values()))
}
#[bench]
fn singular_values_100x100(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(100, 100);
bh.iter(|| test::black_box(m.singular_values()))
}
#[bench]
fn singular_values_200x200(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(200, 200);
bh.iter(|| test::black_box(m.singular_values()))
}
#[bench]
fn pseudo_inverse_4x4(bh: &mut Bencher) {
let m = Matrix4::<f64>::new_random();
bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10)))
}
#[bench]
fn pseudo_inverse_10x10(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(10, 10);
bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10)))
}
#[bench]
fn pseudo_inverse_100x100(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(100, 100);
bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10)))
}
#[bench]
fn pseudo_inverse_200x200(bh: &mut Bencher) {
let m = ::reproductible_dmatrix(200, 200);
bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10)))
}