burn-tensor 0.18.0

Tensor library with user-friendly APIs and automatic differentiation support
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#[burn_tensor_testgen::testgen(softmin)]
mod tests {
    use super::*;
    use burn_tensor::{Tensor, TensorData, activation};
    use burn_tensor::{Tolerance, ops::FloatElem};
    type FT = FloatElem<TestBackend>;

    #[test]
    fn test_softmin_d2() {
        let tensor = TestTensor::<2>::from([[1.0, 7.0], [13.0, -3.0]]);

        let output = activation::softmin(tensor, 1);
        let expected = TensorData::from([[9.975274e-01, 2.472623e-03], [1.125352e-07, 1.0000]]);

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