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
53
54
55
56
57
58
59
60
61
62
|
use std::mem::MaybeUninit;
use mdarray::{view, tensor, Slice, Dim, Const, expr::Expression};
use mdarray as md;
// Indexing convention: C_ij <- A_ik * B_kj
fn matmul<D0: Dim, D1: Dim, D2: Dim>(
a: &Slice<f64, (D0, D1)>,
b: &Slice<f64, (D1, D2)>,
c: &mut Slice<f64, (D0, D2)>) {
for (mut ci, ai) in c.rows_mut().zip(a.rows()) {
for (aik, bk) in ai.zip(b.rows()) {
for (cij, bkj) in ci.expr_mut().zip(bk) {
*cij = aik.mul_add(*bkj, *cij);
}
}
}
}
fn main() {
let a = view![[1.0, 4.0], [2.0, 5.0], [3.0, 6.0]];
let b = md::Array::<f64, (Const::<2>, Const::<2>)>::from_fn(
|i| if i[0] == 0 && i[1] == 0 { 0.0 } else { 1.0 }
);
let b = b.reshape((Const::<2>, !0));
// .into_dyn() replaces .reshape(DynRank::from_dims(&[2, 3])).into():
let mut c: mdarray::Tensor<f64> = tensor![[0.0; 2]; 3].into_dyn();
matmul(&a.reshape((3, Const::<2>)), &b, &mut c.remap_mut());
assert_eq!(c, view![[4.0, 5.0], [5.0, 7.0], [6.0, 9.0]]);
// slice
let _ = a.view(1, ..);
// index
let _ = c[4];
// permute & transpose
assert_eq!(c.permute([1, 0]), c.transpose());
// Arrays with rank > 6:
let d: Vec<f64> = (0..128).map(|x| x as f64).collect();
let d: md::DTensor<f64, 1> = d.into();
let d = d.into_dyn();
let d = d.reshape(&[2; 7]);
let d = d.permute(&[6, 5, 4, 3, 2, 1, 0]);
// Working with uninitialized memory.
let mut e = tensor![[MaybeUninit::<f64>::uninit(); 3]; 3];
for (i, val) in e.iter_mut().enumerate() {
val.write(i as f64);
}
let _ = unsafe { e.assume_init() };
// Indexing
for i in 0..2 {
let index = [0, i, 0, 0, i, 0, 0];
println!("{} {} {} {}", a[i], a[[i, 0]], c[&index[..2]], d[index]);
}
}
|
