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

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

    #[test]
    fn test_any() {
        // test float tensor
        let tensor = TestTensor::<2>::from([[0.0, 0.0, 0.0], [1.0, -1.0, 0.0]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([true]);
        assert_eq!(data_expected, data_actual);

        let tensor = TestTensor::<2>::from([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([false]);
        assert_eq!(data_expected, data_actual);

        // test int tensor
        let tensor = TestTensorInt::<2>::from([[0, 0, 0], [1, -1, 0]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([true]);
        assert_eq!(data_expected, data_actual);

        let tensor = TestTensorInt::<2>::from([[0, 0, 0], [0, 0, 0]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([false]);
        assert_eq!(data_expected, data_actual);

        // test bool tensor
        let tensor = TestTensorBool::<2>::from([[false, false, false], [true, true, false]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([true]);
        assert_eq!(data_expected, data_actual);

        let tensor = TestTensorBool::<2>::from([[false, false, false], [false, false, false]]);
        let data_actual = tensor.any().into_data();
        let data_expected = TensorData::from([false]);
        assert_eq!(data_expected, data_actual);
    }

    #[test]
    fn test_any_dim() {
        let tensor = TestTensor::<2>::from([[0.0, 0.0, 0.0], [1.0, -1.0, 0.0]]);
        let data_actual = tensor.any_dim(1).into_data();
        let data_expected = TensorData::from([[false], [true]]);
        assert_eq!(data_expected, data_actual);

        // test int tensor
        let tensor = TestTensorInt::<2>::from([[0, 0, 0], [1, -1, 0]]);
        let data_actual = tensor.any_dim(1).into_data();
        let data_expected = TensorData::from([[false], [true]]);
        assert_eq!(data_expected, data_actual);

        // test bool tensor
        let tensor = TestTensorBool::<2>::from([[false, false, false], [true, true, false]]);
        let data_actual = tensor.any_dim(1).into_data();
        let data_expected = TensorData::from([[false], [true]]);
        assert_eq!(data_expected, data_actual);
    }
}