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
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
use super::*;
use crate::prelude::*;
use num_traits::One;
use rand::prelude::Distribution;
use rand_distr::{Standard, StandardNormal};
pub trait TensorCreator: Sized + HasDevice {
fn new_boxed(data: Box<Self::Array>) -> Self;
fn new(data: Self::Array) -> Self {
Self::new_boxed(Box::new(data))
}
fn zeros() -> Self {
Self::new_boxed(Self::Device::zeros())
}
fn ones() -> Self
where
Self::Dtype: One,
{
Self::new_boxed(Self::Device::filled(&mut |v| *v = One::one()))
}
fn rand<R: rand::Rng>(rng: &mut R) -> Self
where
Standard: Distribution<Self::Dtype>,
{
Self::new_boxed(Self::Device::filled(&mut |v| *v = Standard.sample(rng)))
}
fn randn<R: rand::Rng>(rng: &mut R) -> Self
where
StandardNormal: Distribution<Self::Dtype>,
{
Self::new_boxed(Self::Device::filled(&mut |v| {
*v = StandardNormal.sample(rng)
}))
}
}
macro_rules! tensor_impl {
($typename:ident, [$($Vs:tt),*]) => {
impl<$(const $Vs: usize, )*> TensorCreator for $typename<$($Vs, )* NoneTape> {
fn new_boxed(data: Box<Self::Array>) -> Self {
Self {
id: unique_id(),
data: data.into(),
tape: Default::default(),
}
}
}
};
}
tensor_impl!(Tensor0D, []);
tensor_impl!(Tensor1D, [M]);
tensor_impl!(Tensor2D, [M, N]);
tensor_impl!(Tensor3D, [M, N, O]);
tensor_impl!(Tensor4D, [M, N, O, P]);
#[cfg(test)]
mod tests {
use std::collections::HashSet;
use super::*;
use crate::unique_id::unique_id;
use rand::thread_rng;
#[test]
fn test_id() {
let mut ids: HashSet<UniqueId> = Default::default();
ids.insert(unique_id());
let x = Tensor0D::new(0.0);
assert!(!ids.contains(&x.id));
ids.insert(x.id);
let x = Tensor0D::new(0.0);
assert!(!ids.contains(&x.id));
ids.insert(x.id);
let x = Tensor1D::<5>::zeros();
assert!(!ids.contains(&x.id));
ids.insert(x.id);
let x = Tensor2D::<3, 2>::ones();
assert!(!ids.contains(&x.id));
ids.insert(x.id);
let x = Tensor3D::<4, 3, 2>::zeros();
assert!(!ids.contains(&x.id));
ids.insert(x.id);
}
#[test]
fn test_zeros() {
assert_eq!(Tensor2D::<3, 2>::zeros().data(), &[[0.0; 2]; 3]);
}
#[test]
fn test_ones() {
assert_eq!(Tensor2D::<3, 2>::ones().data(), &[[1.0; 2]; 3]);
}
#[test]
fn test_new() {
let t = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]];
assert_eq!(Tensor2D::new(t).data(), &t);
}
#[test]
fn fuzz_test_rand() {
let mut rng = thread_rng();
for &v in Tensor1D::<1000>::rand(&mut rng).data() {
assert!((0.0..1.0).contains(&v));
}
}
#[test]
fn test_randn() {
let mut rng = thread_rng();
let _t = Tensor1D::<1000>::randn(&mut rng);
}
}