nalgebra/benches/linalg/svd.rs

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use na::{Matrix4, SVD};
fn svd_decompose_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("svd_decompose_4x4", move |bh| bh.iter(|| test::black_box(SVD::new(m.clone(), true, true))));
}
fn svd_decompose_10x10(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("svd_decompose_10x10", move |bh| bh.iter(|| test::black_box(SVD::new(m.clone(), true, true))));
}
fn svd_decompose_100x100(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("svd_decompose_100x100", move |bh| bh.iter(|| test::black_box(SVD::new(m.clone(), true, true))));
}
fn svd_decompose_200x200(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("svd_decompose_200x200", move |bh| bh.iter(|| test::black_box(SVD::new(m.clone(), true, true))));
}
fn rank_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("rank_4x4", move |bh| bh.iter(|| test::black_box(m.rank(1.0e-10))));
}
fn rank_10x10(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("rank_10x10", move |bh| bh.iter(|| test::black_box(m.rank(1.0e-10))));
}
fn rank_100x100(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("rank_100x100", move |bh| bh.iter(|| test::black_box(m.rank(1.0e-10))));
}
fn rank_200x200(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("rank_200x200", move |bh| bh.iter(|| test::black_box(m.rank(1.0e-10))));
}
fn singular_values_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("singular_values_4x4", move |bh| bh.iter(|| test::black_box(m.singular_values())));
}
fn singular_values_10x10(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("singular_values_10x10", move |bh| bh.iter(|| test::black_box(m.singular_values())));
}
fn singular_values_100x100(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("singular_values_100x100", move |bh| bh.iter(|| test::black_box(m.singular_values())));
}
fn singular_values_200x200(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("singular_values_200x200", move |bh| bh.iter(|| test::black_box(m.singular_values())));
}
fn pseudo_inverse_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("pseudo_inverse_4x4", move |bh| bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10))));
}
fn pseudo_inverse_10x10(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("pseudo_inverse_10x10", move |bh| bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10))));
}
fn pseudo_inverse_100x100(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("pseudo_inverse_100x100", move |bh| bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10))));
}
fn pseudo_inverse_200x200(bh: &mut criterion::Criterion) {
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let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("pseudo_inverse_200x200", move |bh| bh.iter(|| test::black_box(m.clone().pseudo_inverse(1.0e-10))));
}
criterion_group!(svd,
svd_decompose_4x4,
svd_decompose_10x10,
svd_decompose_100x100,
svd_decompose_200x200,
rank_4x4,
rank_10x10,
rank_100x100,
rank_200x200,
singular_values_4x4,
singular_values_10x10,
singular_values_100x100,
singular_values_200x200,
pseudo_inverse_4x4,
pseudo_inverse_10x10,
pseudo_inverse_100x100,
pseudo_inverse_200x200
);