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