#[burn_tensor_testgen::testgen(ad_exp)]
mod tests {
    use super::*;
    use burn_tensor::TensorData;

    #[test]
    fn should_diff_exp() {
        let data_1 = TensorData::from([[1.0, 7.0], [-2.0, -3.0]]);
        let data_2 = TensorData::from([[4.0, -7.0], [2.0, 3.0]]);

        let device = Default::default();
        let tensor_1 = TestAutodiffTensor::<2>::from_data(data_1, &device).require_grad();
        let tensor_2 = TestAutodiffTensor::from_data(data_2, &device).require_grad();

        let tensor_3 = tensor_1.clone().matmul(tensor_2.clone().exp());
        let grads = tensor_3.backward();

        let grad_1 = tensor_1.grad(&grads).unwrap();
        let grad_2 = tensor_2.grad(&grads).unwrap();

        let expected = TensorData::from([[54.5991, 27.4746], [54.5991, 27.4746]]);
        grad_1.to_data().assert_approx_eq(&expected, 3);

        let expected = TensorData::from([[-5.4598e+01, -9.1188e-04], [2.9556e+01, 8.0342e+01]]);
        grad_2.to_data().assert_approx_eq(&expected, 3);
    }
}
