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
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

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

    #[test]
    fn test_triu() {
        let tensor: Tensor<TestBackend, 2> = Tensor::from_data(
            TensorData::from([[1., 1., 1.], [1., 1., 1.], [1., 1., 1.]]),
            &Default::default(),
        );
        let output = tensor.triu(0);
        let expected = TensorData::from([[1., 1., 1.], [0., 1., 1.], [0., 0., 1.]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_triu_positive_diagonal() {
        let tensor: Tensor<TestBackend, 2, Int> = Tensor::from_data(
            TensorData::from([[1, 1, 1], [1, 1, 1], [1, 1, 1]]),
            &Default::default(),
        );

        let output = tensor.triu(1);
        let expected = TensorData::from([[0, 1, 1], [0, 0, 1], [0, 0, 0]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_triu_negative_diagonal() {
        let tensor: Tensor<TestBackend, 2, Int> = Tensor::from_data(
            TensorData::from([[1, 1, 1], [1, 1, 1], [1, 1, 1]]),
            &Default::default(),
        );

        let output = tensor.triu(-1);
        let expected = TensorData::from([[1, 1, 1], [1, 1, 1], [0, 1, 1]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_triu_batch_tensors() {
        let tensor: Tensor<TestBackend, 4, Int> = Tensor::from_data(
            TensorData::from([
                [[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]],
                [[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]],
            ]),
            &Default::default(),
        );
        let output = tensor.triu(1);
        let expected = TensorData::from([
            [[[0, 1, 1, 1], [0, 0, 1, 1], [0, 0, 0, 1], [0, 0, 0, 0]]],
            [[[0, 1, 1, 1], [0, 0, 1, 1], [0, 0, 0, 1], [0, 0, 0, 0]]],
        ]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    #[should_panic]
    fn test_triu_too_few_dims() {
        let tensor: Tensor<TestBackend, 1, Int> =
            Tensor::from_data(TensorData::from([1, 2, 3]), &Default::default());
        let output = tensor.triu(0);
    }

    #[test]
    fn test_tril() {
        let tensor: Tensor<TestBackend, 2> = Tensor::from_data(
            TensorData::from([[1., 1., 1.], [1., 1., 1.], [1., 1., 1.]]),
            &Default::default(),
        );
        let output = tensor.tril(0);
        let expected = TensorData::from([[1., 0., 0.], [1., 1., 0.], [1., 1., 1.]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_tril_positive_diagonal() {
        let tensor: Tensor<TestBackend, 2, Int> = Tensor::from_data(
            TensorData::from([[1, 1, 1], [1, 1, 1], [1, 1, 1]]),
            &Default::default(),
        );

        let output = tensor.tril(1);
        let expected = TensorData::from([[1, 1, 0], [1, 1, 1], [1, 1, 1]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_tril_negative_diagonal() {
        let tensor: Tensor<TestBackend, 2, Int> = Tensor::from_data(
            TensorData::from([[1, 1, 1], [1, 1, 1], [1, 1, 1]]),
            &Default::default(),
        );

        let output = tensor.tril(-1);
        let expected = TensorData::from([[0, 0, 0], [1, 0, 0], [1, 1, 0]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn test_tril_batch_tensors() {
        let tensor: Tensor<TestBackend, 4, Int> = Tensor::from_data(
            TensorData::from([
                [[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]],
                [[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]],
            ]),
            &Default::default(),
        );
        let output = tensor.tril(1);
        let expected = TensorData::from([
            [[[1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 1]]],
            [[[1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 1]]],
        ]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    #[should_panic]
    fn test_tril_too_few_dims() {
        let tensor: Tensor<TestBackend, 1, Int> =
            Tensor::from_data(TensorData::from([1, 2, 3]), &Default::default());
        let output = tensor.tril(0);
    }
}