burn-tensor 0.16.1

Tensor library with user-friendly APIs and automatic differentiation support
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
53
54
55
56

#[burn_tensor_testgen::testgen(create_like)]
mod tests {
    use super::*;
    use burn_tensor::{Distribution, Tensor, TensorData};

    #[test]
    fn should_support_zeros_like() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );

        let tensor = tensor.zeros_like();
        let expected =
            TensorData::from([[[0., 0., 0.], [0., 0., 0.]], [[0., 0., 0.], [0., 0., 0.]]]);

        tensor.into_data().assert_approx_eq(&expected, 3);
    }

    #[test]
    fn should_support_ones_like() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );

        let tensor = tensor.ones_like();
        let expected =
            TensorData::from([[[1., 1., 1.], [1., 1., 1.]], [[1., 1., 1.], [1., 1., 1.]]]);

        tensor.into_data().assert_approx_eq(&expected, 3);
    }

    #[test]
    fn should_support_randoms_like() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );

        let tensor = tensor.random_like(Distribution::Uniform(0.99999, 1.));
        let expected =
            TensorData::from([[[1., 1., 1.], [1., 1., 1.]], [[1., 1., 1.], [1., 1., 1.]]]);

        tensor.into_data().assert_approx_eq(&expected, 3);
    }
}