burn-tensor 0.18.0

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

    #[test]
    fn test_leaky_relu_d2() {
        let tensor = TestTensor::<2>::from([[0.0, -1.0, 2.0], [3.0, -4.0, 5.0]]);

        let output = activation::leaky_relu(tensor, 0.01);

        // Account for conversion errors if `FloatType != f32`
        output.into_data().assert_approx_eq::<FT>(
            &TensorData::from([[0.0, -0.01, 2.0], [3.0, -0.04, 5.0]]),
            Tolerance::default(),
        );
    }
}