forked from M-Labs/nalgebra
Port bidiagonalization benchmark to criterion.
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@ -22,4 +22,4 @@ fn reproductible_dmatrix(nrows: usize, ncols: usize) -> DMatrix<f64> {
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DMatrix::<f64>::from_fn(nrows, ncols, |_, _| rng.gen())
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}
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criterion_main!(core::matrix::matrix, core::vector::vector);
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criterion_main!(core::matrix::matrix, core::vector::vector, linalg::bidiagonal);
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@ -1,73 +1,75 @@
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use na::{Bidiagonal, DMatrix, Matrix4};
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use test::{self, Bencher};
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#[path = "../common/macros.rs"]
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mod macros;
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// Without unpack.
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#[bench]
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fn bidiagonalize_100x100(bh: &mut Bencher) {
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fn bidiagonalize_100x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 100);
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bh.iter(|| test::black_box(Bidiagonal::new(m.clone())))
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bh.bench_function("bidiagonalize_100x100", move |bh| bh.iter(|| test::black_box(Bidiagonal::new(m.clone()))));
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}
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#[bench]
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fn bidiagonalize_100x500(bh: &mut Bencher) {
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fn bidiagonalize_100x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 500);
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bh.iter(|| test::black_box(Bidiagonal::new(m.clone())))
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bh.bench_function("bidiagonalize_100x500", move |bh| bh.iter(|| test::black_box(Bidiagonal::new(m.clone()))));
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}
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#[bench]
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fn bidiagonalize_4x4(bh: &mut Bencher) {
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fn bidiagonalize_4x4(bh: &mut criterion::Criterion) {
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let m = Matrix4::<f64>::new_random();
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bh.iter(|| test::black_box(Bidiagonal::new(m.clone())))
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bh.bench_function("bidiagonalize_4x4", move |bh| bh.iter(|| test::black_box(Bidiagonal::new(m.clone()))));
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}
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#[bench]
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fn bidiagonalize_500x100(bh: &mut Bencher) {
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fn bidiagonalize_500x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 100);
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bh.iter(|| test::black_box(Bidiagonal::new(m.clone())))
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bh.bench_function("bidiagonalize_500x100", move |bh| bh.iter(|| test::black_box(Bidiagonal::new(m.clone()))));
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}
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#[bench]
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fn bidiagonalize_500x500(bh: &mut Bencher) {
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fn bidiagonalize_500x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 500);
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bh.iter(|| test::black_box(Bidiagonal::new(m.clone())))
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bh.bench_function("bidiagonalize_500x500", move |bh| bh.iter(|| test::black_box(Bidiagonal::new(m.clone()))));
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}
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// With unpack.
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#[bench]
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fn bidiagonalize_unpack_100x100(bh: &mut Bencher) {
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fn bidiagonalize_unpack_100x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 100);
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bh.iter(|| {
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bh.bench_function("bidiagonalize_unpack_100x100", move |bh| bh.iter(|| {
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let bidiag = Bidiagonal::new(m.clone());
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let _ = bidiag.unpack();
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})
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}));
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}
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#[bench]
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fn bidiagonalize_unpack_100x500(bh: &mut Bencher) {
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fn bidiagonalize_unpack_100x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 500);
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bh.iter(|| {
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bh.bench_function("bidiagonalize_unpack_100x500", move |bh| bh.iter(|| {
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let bidiag = Bidiagonal::new(m.clone());
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let _ = bidiag.unpack();
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})
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}));
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}
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#[bench]
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fn bidiagonalize_unpack_500x100(bh: &mut Bencher) {
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fn bidiagonalize_unpack_500x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 100);
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bh.iter(|| {
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bh.bench_function("bidiagonalize_unpack_500x100", move |bh| bh.iter(|| {
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let bidiag = Bidiagonal::new(m.clone());
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let _ = bidiag.unpack();
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})
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}));
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}
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#[bench]
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fn bidiagonalize_unpack_500x500(bh: &mut Bencher) {
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fn bidiagonalize_unpack_500x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 500);
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bh.iter(|| {
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bh.bench_function("bidiagonalize_unpack_500x500", move |bh| bh.iter(|| {
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let bidiag = Bidiagonal::new(m.clone());
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let _ = bidiag.unpack();
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})
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}));
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}
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criterion_group!(bidiagonal,
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bidiagonalize_100x100,
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bidiagonalize_100x500,
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bidiagonalize_4x4,
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bidiagonalize_500x100,
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bidiagonalize_500x500,
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bidiagonalize_unpack_100x100,
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bidiagonalize_unpack_100x500,
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bidiagonalize_unpack_500x100,
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bidiagonalize_unpack_500x500
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);
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@ -1,3 +1,5 @@
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pub use self::bidiagonal::bidiagonal;
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mod bidiagonal;
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mod cholesky;
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mod full_piv_lu;
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@ -8,4 +10,4 @@ mod schur;
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mod solve;
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mod svd;
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mod symmetric_eigen;
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// mod eigen;
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// mod eigen;
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