use super::*;
use burn_tensor::TensorData;

#[test]
fn should_diff_reshape() {
    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 = AutodiffDevice::new();
    let tensor_1 = TestTensor::from_data(data_1, &device).require_grad();
    let tensor_2 = TestTensor::<1>::from_data(data_2, &device).require_grad();

    let tensor_3 = tensor_2.clone().reshape([2, 2]);
    let tensor_4 = tensor_1.clone().matmul(tensor_3);
    let grads = tensor_4.backward();

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

    grad_1
        .to_data()
        .assert_eq(&TensorData::from([[11.0, 5.0], [11.0, 5.0]]), false);
    grad_2
        .to_data()
        .assert_eq(&TensorData::from([3.0, 3.0, 10.0, 10.0]), false);
}
