9042d1424c
This also removes the `#![feature(bench_black_box)]`. This was stabilized in Rust 1.66 and anyone building benchmarks will be on that or later (as they previously would have been on nightly). This also allows building `cargo build --all-targets` on stable Rust as it no longer dies when hitting the feature addition in the benchmarks.
271 lines
7.8 KiB
Rust
271 lines
7.8 KiB
Rust
use na::{DMatrix, DVector, Matrix2, Matrix3, Matrix4, OMatrix, Vector2, Vector3, Vector4, U10};
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use rand::Rng;
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use rand_isaac::IsaacRng;
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use std::ops::{Add, Div, Mul, Sub};
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#[path = "../common/macros.rs"]
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mod macros;
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bench_binop!(mat2_mul_m, Matrix2<f32>, Matrix2<f32>, mul);
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bench_binop!(mat3_mul_m, Matrix3<f32>, Matrix3<f32>, mul);
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bench_binop!(mat4_mul_m, Matrix4<f32>, Matrix4<f32>, mul);
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bench_binop_ref!(mat2_tr_mul_m, Matrix2<f32>, Matrix2<f32>, tr_mul);
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bench_binop_ref!(mat3_tr_mul_m, Matrix3<f32>, Matrix3<f32>, tr_mul);
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bench_binop_ref!(mat4_tr_mul_m, Matrix4<f32>, Matrix4<f32>, tr_mul);
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bench_binop!(mat2_add_m, Matrix2<f32>, Matrix2<f32>, add);
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bench_binop!(mat3_add_m, Matrix3<f32>, Matrix3<f32>, add);
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bench_binop!(mat4_add_m, Matrix4<f32>, Matrix4<f32>, add);
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bench_binop!(mat2_sub_m, Matrix2<f32>, Matrix2<f32>, sub);
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bench_binop!(mat3_sub_m, Matrix3<f32>, Matrix3<f32>, sub);
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bench_binop!(mat4_sub_m, Matrix4<f32>, Matrix4<f32>, sub);
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bench_binop!(mat2_mul_v, Matrix2<f32>, Vector2<f32>, mul);
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bench_binop!(mat3_mul_v, Matrix3<f32>, Vector3<f32>, mul);
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bench_binop!(mat4_mul_v, Matrix4<f32>, Vector4<f32>, mul);
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bench_binop_ref!(mat2_tr_mul_v, Matrix2<f32>, Vector2<f32>, tr_mul);
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bench_binop_ref!(mat3_tr_mul_v, Matrix3<f32>, Vector3<f32>, tr_mul);
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bench_binop_ref!(mat4_tr_mul_v, Matrix4<f32>, Vector4<f32>, tr_mul);
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bench_binop!(mat2_mul_s, Matrix2<f32>, f32, mul);
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bench_binop!(mat3_mul_s, Matrix3<f32>, f32, mul);
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bench_binop!(mat4_mul_s, Matrix4<f32>, f32, mul);
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bench_binop!(mat2_div_s, Matrix2<f32>, f32, div);
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bench_binop!(mat3_div_s, Matrix3<f32>, f32, div);
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bench_binop!(mat4_div_s, Matrix4<f32>, f32, div);
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bench_unop!(mat2_inv, Matrix2<f32>, try_inverse);
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bench_unop!(mat3_inv, Matrix3<f32>, try_inverse);
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bench_unop!(mat4_inv, Matrix4<f32>, try_inverse);
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bench_unop!(mat2_transpose, Matrix2<f32>, transpose);
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bench_unop!(mat3_transpose, Matrix3<f32>, transpose);
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bench_unop!(mat4_transpose, Matrix4<f32>, transpose);
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fn mat_div_scalar(b: &mut criterion::Criterion) {
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let a = DMatrix::from_row_slice(1000, 1000, &vec![2.0; 1000000]);
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let n = 42.0;
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b.bench_function("mat_div_scalar", move |bh| {
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bh.iter(|| {
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let mut aa = a.clone();
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let mut b = aa.view_mut((0, 0), (1000, 1000));
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b /= n
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})
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});
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}
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fn mat100_add_mat100(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(100, 100);
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let b = DMatrix::<f64>::new_random(100, 100);
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bench.bench_function("mat100_add_mat100", move |bh| bh.iter(|| &a + &b));
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}
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fn mat4_mul_mat4(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(4, 4);
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let b = DMatrix::<f64>::new_random(4, 4);
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bench.bench_function("mat4_mul_mat4", move |bh| bh.iter(|| &a * &b));
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}
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fn mat5_mul_mat5(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(5, 5);
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let b = DMatrix::<f64>::new_random(5, 5);
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bench.bench_function("mat5_mul_mat5", move |bh| bh.iter(|| &a * &b));
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}
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fn mat6_mul_mat6(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(6, 6);
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let b = DMatrix::<f64>::new_random(6, 6);
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bench.bench_function("mat6_mul_mat6", move |bh| bh.iter(|| &a * &b));
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}
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fn mat7_mul_mat7(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(7, 7);
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let b = DMatrix::<f64>::new_random(7, 7);
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bench.bench_function("mat7_mul_mat7", move |bh| bh.iter(|| &a * &b));
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}
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fn mat8_mul_mat8(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(8, 8);
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let b = DMatrix::<f64>::new_random(8, 8);
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bench.bench_function("mat8_mul_mat8", move |bh| bh.iter(|| &a * &b));
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}
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fn mat9_mul_mat9(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(9, 9);
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let b = DMatrix::<f64>::new_random(9, 9);
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bench.bench_function("mat9_mul_mat9", move |bh| bh.iter(|| &a * &b));
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}
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fn mat10_mul_mat10(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(10, 10);
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let b = DMatrix::<f64>::new_random(10, 10);
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bench.bench_function("mat10_mul_mat10", move |bh| bh.iter(|| &a * &b));
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}
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fn mat10_mul_mat10_static(bench: &mut criterion::Criterion) {
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let a = OMatrix::<f64, U10, U10>::new_random();
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let b = OMatrix::<f64, U10, U10>::new_random();
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bench.bench_function("mat10_mul_mat10_static", move |bh| bh.iter(|| &a * &b));
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}
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fn mat100_mul_mat100(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(100, 100);
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let b = DMatrix::<f64>::new_random(100, 100);
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bench.bench_function("mat100_mul_mat100", move |bh| bh.iter(|| &a * &b));
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}
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fn mat500_mul_mat500(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::from_element(500, 500, 5f64);
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let b = DMatrix::<f64>::from_element(500, 500, 6f64);
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bench.bench_function("mat500_mul_mat500", move |bh| bh.iter(|| &a * &b));
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}
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fn iter(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(1000, 1000);
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bench.bench_function("iter", move |bh| {
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bh.iter(|| {
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for value in a.iter() {
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std::hint::black_box(value);
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}
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})
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});
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}
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fn iter_rev(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(1000, 1000);
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bench.bench_function("iter_rev", move |bh| {
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bh.iter(|| {
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for value in a.iter().rev() {
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std::hint::black_box(value);
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}
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})
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});
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}
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fn copy_from(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(1000, 1000);
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let mut b = DMatrix::<f64>::new_random(1000, 1000);
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bench.bench_function("copy_from", move |bh| {
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bh.iter(|| {
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b.copy_from(&a);
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})
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});
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}
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fn axpy(bench: &mut criterion::Criterion) {
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let x = DVector::<f64>::from_element(100000, 2.0);
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let mut y = DVector::<f64>::from_element(100000, 3.0);
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let a = 42.0;
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bench.bench_function("axpy", move |bh| {
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bh.iter(|| {
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y.axpy(a, &x, 1.0);
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})
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});
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}
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fn tr_mul_to(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(1000, 1000);
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let b = DVector::<f64>::new_random(1000);
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let mut c = DVector::from_element(1000, 0.0);
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bench.bench_function("tr_mul_to", move |bh| bh.iter(|| a.tr_mul_to(&b, &mut c)));
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}
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fn mat_mul_mat(bench: &mut criterion::Criterion) {
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let a = DMatrix::<f64>::new_random(100, 100);
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let b = DMatrix::<f64>::new_random(100, 100);
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let mut ab = DMatrix::<f64>::from_element(100, 100, 0.0);
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bench.bench_function("mat_mul_mat", move |bh| {
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bh.iter(|| {
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std::hint::black_box(a.mul_to(&b, &mut ab));
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})
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});
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}
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fn mat100_from_fn(bench: &mut criterion::Criterion) {
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bench.bench_function("mat100_from_fn", move |bh| {
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bh.iter(|| DMatrix::from_fn(100, 100, |a, b| a + b))
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});
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}
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fn mat500_from_fn(bench: &mut criterion::Criterion) {
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bench.bench_function("mat500_from_fn", move |bh| {
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bh.iter(|| DMatrix::from_fn(500, 500, |a, b| a + b))
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});
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}
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criterion_group!(
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matrix,
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mat2_mul_m,
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mat3_mul_m,
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mat4_mul_m,
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mat2_tr_mul_m,
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mat3_tr_mul_m,
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mat4_tr_mul_m,
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mat2_add_m,
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mat3_add_m,
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mat4_add_m,
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mat2_sub_m,
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mat3_sub_m,
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mat4_sub_m,
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mat2_mul_v,
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mat3_mul_v,
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mat4_mul_v,
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mat2_tr_mul_v,
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mat3_tr_mul_v,
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mat4_tr_mul_v,
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mat2_mul_s,
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mat3_mul_s,
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mat4_mul_s,
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mat2_div_s,
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mat3_div_s,
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mat4_div_s,
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mat2_inv,
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mat3_inv,
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mat4_inv,
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mat2_transpose,
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mat3_transpose,
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mat4_transpose,
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mat_div_scalar,
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mat100_add_mat100,
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mat4_mul_mat4,
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mat5_mul_mat5,
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mat6_mul_mat6,
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mat7_mul_mat7,
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mat8_mul_mat8,
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mat9_mul_mat9,
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mat10_mul_mat10,
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mat10_mul_mat10_static,
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mat100_mul_mat100,
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mat500_mul_mat500,
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iter,
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iter_rev,
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copy_from,
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axpy,
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tr_mul_to,
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mat_mul_mat,
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mat100_from_fn,
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mat500_from_fn,
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);
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