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

#[burn_tensor_testgen::testgen(erf)]
mod tests {
    use super::*;
    use burn_tensor::{Tensor, TensorData};
    use burn_tensor::{Tolerance, ops::FloatElem};
    type FT = FloatElem<TestBackend>;

    #[test]
    fn should_support_erf_ops() {
        let data = TensorData::from([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]);
        let tensor = TestTensor::<2>::from_data(data, &Default::default());

        let output = tensor.erf();
        let expected = TensorData::from([[0.0000, 0.8427, 0.99532], [0.99998, 1.0000, 1.0000]]);

        output.into_data().assert_approx_eq::<FT>(
            &expected,
            Tolerance::default().set_half_precision_absolute(2e-3),
        );
    }

    #[test]
    fn should_support_erf_ops_with_negative_number() {
        let data = TensorData::from([[-0.056, -0.043, -0.089], [3.0, 4.0, 5.0]]);
        let tensor = TestTensor::<2>::from_data(data, &Default::default());

        let output = tensor.erf();
        let expected = TensorData::from([
            [-0.06312324, -0.048490416, -0.10016122],
            [0.99998, 1.0000, 1.0000],
        ]);

        output.into_data().assert_approx_eq::<FT>(
            &expected,
            Tolerance::default().set_half_precision_absolute(3e-3),
        );
    }
}