99 lines
2.5 KiB
Rust
99 lines
2.5 KiB
Rust
use na::{Matrix4, SVD};
|
|
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)))
|
|
}
|