use super::qtensor::*;
use super::*;
use burn_tensor::TensorData;
use burn_tensor::Tolerance;

#[test]
fn should_support_exp_log1p() {
    let tensor = QTensor::<2>::int8([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]);

    let output = tensor.log1p();
    let expected = TensorData::from([
        [0.0, core::f32::consts::LN_2, 1.0986],
        [1.3862, 1.6094, 1.7917],
    ]);

    output
        .dequantize()
        .into_data()
        .assert_approx_eq::<FloatElem>(&expected, Tolerance::absolute(1e-1));
}
