burn-tensor 0.18.0

Tensor library with user-friendly APIs and automatic differentiation support
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

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

    #[test]
    fn test_is_close() {
        let tensor1 = TestTensor::<2>::from([[0.0, 1.0, 0.0], [1.0, -1.0, 1.0]]);
        let tensor2 = TestTensor::from([[0.0, 1.0, 0.0], [1.0, -1.0, 3.0]]) + 1e-9;

        let data_actual = tensor1
            .clone()
            .is_close(tensor2.clone(), None, None)
            .into_data();
        let defaults_expected = TensorData::from([[true, true, true], [true, true, false]]);
        defaults_expected.assert_eq(&data_actual, false);

        // Using the defaults.
        let data_actual = tensor1
            .is_close(tensor2, Some(DEFAULT_RTOL), Some(DEFAULT_ATOL))
            .into_data();
        defaults_expected.assert_eq(&data_actual, false);
    }

    #[test]
    fn test_all_close() {
        let tensor1 = TestTensor::<2>::from([[0.0, 1.0, 0.0], [1.0, -1.0, 1.0]]);
        let tensor2 = TestTensor::from([[0.0, 1.0, 0.0], [1.0, -1.0, 3.0]]) + 1e-9;
        assert!(!tensor1.clone().all_close(tensor2.clone(), None, None));

        let tensor2 = TestTensor::from([[0.0, 1.0, 0.0], [1.0, -1.0, 1.0]]) + 1e-9;
        assert!(tensor1.all_close(tensor2, None, None));

        // non finite values
        let inf_plus = TestTensor::<2>::from([[f32::INFINITY]]);
        let one = TestTensor::<2>::from([[1.]]);
        let inf_minus = TestTensor::<2>::from([[-f32::INFINITY]]);
        assert!(!inf_plus.clone().all_close(inf_minus.clone(), None, None));
        assert!(!one.clone().all_close(inf_minus.clone(), None, None));
        assert!(!one.all_close(inf_plus.clone(), None, None));
        assert!(inf_plus.clone().all_close(inf_plus, None, None));
    }
}