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