ndarray-parallel 0.9.0

Parallelization for ndarray (using rayon).
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52


extern crate rayon;
#[macro_use(s)] extern crate ndarray;
extern crate ndarray_parallel;

use ndarray::prelude::*;
use ndarray_parallel::prelude::*;

const M: usize = 1024 * 10;
const N: usize = 100;

#[test]
fn test_axis_iter() {
    let mut a = Array2::<f64>::zeros((M, N));
    for (i, mut v) in a.axis_iter_mut(Axis(0)).enumerate() {
        v.fill(i as _);
    }
    assert_eq!(a.axis_iter(Axis(0)).len(), M);
    let s: f64 = a.axis_iter(Axis(0)).into_par_iter().map(|x| x.scalar_sum()).sum();
    println!("{:?}", a.slice(s![..10, ..5]));
    assert_eq!(s, a.scalar_sum());
}

#[test]
fn test_axis_iter_mut() {
    let mut a = Array::linspace(0., 1.0f64, M * N).into_shape((M, N)).unwrap();
    let b = a.mapv(|x| x.exp());
    a.axis_iter_mut(Axis(0)).into_par_iter().for_each(|mut v| v.mapv_inplace(|x| x.exp()));
    println!("{:?}", a.slice(s![..10, ..5]));
    assert!(a.all_close(&b, 0.001));
}

#[test]
fn test_regular_iter() {
    let mut a = Array2::<f64>::zeros((M, N));
    for (i, mut v) in a.axis_iter_mut(Axis(0)).enumerate() {
        v.fill(i as _);
    }
    let s: f64 = a.view().into_par_iter().map(|&x| x).sum();
    println!("{:?}", a.slice(s![..10, ..5]));
    assert_eq!(s, a.scalar_sum());
}

#[test]
fn test_regular_iter_collect() {
    let mut a = Array2::<f64>::zeros((M, N));
    for (i, mut v) in a.axis_iter_mut(Axis(0)).enumerate() {
        v.fill(i as _);
    }
    let v = a.view().into_par_iter().map(|&x| x).collect::<Vec<_>>();
    assert_eq!(v.len(), a.len());
}