burn-tensor 0.18.0

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

    #[test]
    fn should_support_round_ops() {
        let tensor = QTensor::<TestBackend, 2>::int8([
            [24.0423, 87.9478, 76.1838],
            [59.6929, 43.8169, 94.8826],
        ]);

        let output = tensor.round();
        let expected = TensorData::from([[24., 88., 76.], [60., 44., 95.]]);

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

    #[test]
    fn should_round_ties_even() {
        // NOTE: round ties to even only affects values that are exact halfway from ceil/floor, so quantization
        // errors can impact this. This basically only guarantees the values for the max value in the range since
        // it is always represented correctly.
        let tensor = QTensor::<TestBackend, 1>::int8([5.5]);

        let output = tensor.round();
        let expected = TensorData::from([6.]);

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