burn-tensor 0.18.0

Tensor library with user-friendly APIs and automatic differentiation support
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#[burn_tensor_testgen::testgen(meshgrid)]
mod tests {
    use super::*;
    use burn_tensor::BasicOps;
    use burn_tensor::backend::Backend;
    use burn_tensor::grid::{
        GridIndexing, GridOptions, GridSparsity, IndexPos, meshgrid, meshgrid_stack,
    };
    use burn_tensor::{Int, Shape, Tensor, TensorData};

    fn assert_tensors_equal<const N: usize, B: Backend, K>(
        actual: &[Tensor<B, N, K>; N],
        expected: &[Tensor<B, N, K>; N],
    ) where
        K: BasicOps<B>,
    {
        for (a, e) in actual.iter().zip(expected.iter()) {
            a.clone()
                .into_data()
                .assert_eq(&e.clone().into_data(), true);
        }
    }

    #[test]
    fn test_meshgrid() {
        let x = TestTensor::<1>::from([1, 2, 3, 4]);
        let y = TestTensor::<1>::from([5, 6]);
        let z = TestTensor::<1>::from([7, 8]);

        let grid_shape = [x.dims()[0], y.dims()[0], z.dims()[0]];

        // 3D, Dense, Matrix
        assert_tensors_equal(
            &meshgrid(&[x.clone(), y.clone(), z.clone()], GridOptions::default()),
            &[
                x.clone().reshape([4, 1, 1]).expand(grid_shape),
                y.clone().reshape([1, 2, 1]).expand(grid_shape),
                z.clone().reshape([1, 1, 2]).expand(grid_shape),
            ],
        );
        assert_tensors_equal(
            &meshgrid(&[x.clone(), y.clone(), z.clone()], GridSparsity::Dense),
            &[
                x.clone().reshape([4, 1, 1]).expand(grid_shape),
                y.clone().reshape([1, 2, 1]).expand(grid_shape),
                z.clone().reshape([1, 1, 2]).expand(grid_shape),
            ],
        );
        assert_tensors_equal(
            &meshgrid(&[x.clone(), y.clone(), z.clone()], GridIndexing::Matrix),
            &[
                x.clone().reshape([4, 1, 1]).expand(grid_shape),
                y.clone().reshape([1, 2, 1]).expand(grid_shape),
                z.clone().reshape([1, 1, 2]).expand(grid_shape),
            ],
        );

        // 3D, Sparse, Matrix
        assert_tensors_equal(
            &meshgrid(
                &[x.clone(), y.clone(), z.clone()],
                GridOptions {
                    indexing: GridIndexing::Matrix,
                    sparsity: GridSparsity::Sparse,
                },
            ),
            &[
                x.clone().reshape([4, 1, 1]),
                y.clone().reshape([1, 2, 1]),
                z.clone().reshape([1, 1, 2]),
            ],
        );
        assert_tensors_equal(
            &meshgrid(&[x.clone(), y.clone(), z.clone()], GridSparsity::Sparse),
            &[
                x.clone().reshape([4, 1, 1]),
                y.clone().reshape([1, 2, 1]),
                z.clone().reshape([1, 1, 2]),
            ],
        );

        // 3D, Dense, Cartesian
        assert_tensors_equal(
            &meshgrid(&[x.clone(), y.clone(), z.clone()], GridIndexing::Cartesian),
            &[
                x.clone()
                    .reshape([4, 1, 1])
                    .expand(grid_shape)
                    .swap_dims(0, 1),
                y.clone()
                    .reshape([1, 2, 1])
                    .expand(grid_shape)
                    .swap_dims(0, 1),
                z.clone()
                    .reshape([1, 1, 2])
                    .expand(grid_shape)
                    .swap_dims(0, 1),
            ],
        );

        // 3D, Sparse, Cartesian
        assert_tensors_equal(
            &meshgrid(
                &[x.clone(), y.clone(), z.clone()],
                GridOptions::new(GridIndexing::Cartesian, GridSparsity::Sparse),
            ),
            &[
                x.clone().reshape([4, 1, 1]).swap_dims(0, 1),
                y.clone().reshape([1, 2, 1]).swap_dims(0, 1),
                z.clone().reshape([1, 1, 2]).swap_dims(0, 1),
            ],
        );
        assert_tensors_equal(
            &meshgrid(
                &[x.clone(), y.clone(), z.clone()],
                GridOptions {
                    indexing: GridIndexing::Cartesian,
                    sparsity: GridSparsity::Sparse,
                },
            ),
            &[
                x.clone().reshape([4, 1, 1]).swap_dims(0, 1),
                y.clone().reshape([1, 2, 1]).swap_dims(0, 1),
                z.clone().reshape([1, 1, 2]).swap_dims(0, 1),
            ],
        );
    }

    #[test]
    fn test_meshgrid_stack() {
        let tensors = [
            TestTensor::from([0.5, 1.0, 2.5]),
            TestTensor::from([0.5, 1.0]),
        ];

        let result: Tensor<_, 3> = meshgrid_stack(&tensors, IndexPos::First);
        result.to_data().assert_eq(
            &TensorData::from([
                [[0.5, 0.5], [1.0, 1.0], [2.5, 2.5]],
                [[0.5, 1.0], [0.5, 1.0], [0.5, 1.0]],
            ]),
            false,
        );

        let result: Tensor<_, 3> = meshgrid_stack(&tensors, IndexPos::Last);
        result.to_data().assert_eq(
            &TensorData::from([
                [[0.5, 0.5], [0.5, 1.0]],
                [[1.0, 0.5], [1.0, 1.0]],
                [[2.5, 0.5], [2.5, 1.0]],
            ]),
            false,
        );
    }
}