burn-tensor 0.18.0

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

    #[test]
    fn should_support_transpose_ops() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );

        let output = tensor.transpose();
        let expected = TensorData::from([
            [[0.0, 3.0], [1.0, 4.0], [2.0, 5.0]],
            [[6.0, 9.0], [7.0, 10.0], [8.0, 11.0]],
        ]);

        output
            .into_data()
            .assert_approx_eq::<FT>(&expected, Tolerance::default());
    }

    #[test]
    fn should_support_transpose_maybe_fused_with_one() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );
        let ones = TestTensor::<3>::ones([1, 1, 1], &Default::default());

        let output = tensor.transpose();
        let expected = TensorData::from([
            [[0.0, 3.0], [1.0, 4.0], [2.0, 5.0]],
            [[6.0, 9.0], [7.0, 10.0], [8.0, 11.0]],
        ]);
        let expected_ones = TensorData::from([[[1.0]]]);

        output
            .into_data()
            .assert_approx_eq::<FT>(&expected, Tolerance::default());
        ones.into_data()
            .assert_approx_eq::<FT>(&expected_ones, Tolerance::default());
    }

    #[test]
    fn should_support_swap_dims() {
        let tensor = TestTensor::<3>::from_floats(
            [
                [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],
                [[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]],
            ],
            &Default::default(),
        );

        let output = tensor.swap_dims(0, 2);
        let expected = TensorData::from([
            [[0.0, 6.0], [3.0, 9.0]],
            [[1.0, 7.0], [4.0, 10.0]],
            [[2.0, 8.0], [5.0, 11.0]],
        ]);

        output
            .into_data()
            .assert_approx_eq::<FT>(&expected, Tolerance::default());
    }

    #[test]
    fn should_support_transpose_ops_int() {
        let tensor = TestTensorInt::<3>::from_data(
            [[[0, 1, 2], [3, 4, 5]], [[6, 7, 8], [9, 10, 11]]],
            &Default::default(),
        );

        let output = tensor.transpose();
        let expected = TensorData::from([[[0, 3], [1, 4], [2, 5]], [[6, 9], [7, 10], [8, 11]]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn should_support_swap_dims_int() {
        let tensor = TestTensorInt::<3>::from_data(
            [[[0, 1, 2], [3, 4, 5]], [[6, 7, 8], [9, 10, 11]]],
            &Default::default(),
        );

        let output = tensor.swap_dims(0, 2);
        let expected = TensorData::from([[[0, 6], [3, 9]], [[1, 7], [4, 10]], [[2, 8], [5, 11]]]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn should_support_transpose_bool() {
        let tensor = TestTensorBool::<3>::from_data(
            [
                [[false, true, false], [false, false, false]],
                [[false, false, true], [false, false, true]],
            ],
            &Default::default(),
        );

        let output = tensor.transpose();
        let expected = TensorData::from([
            [[false, false], [true, false], [false, false]],
            [[false, false], [false, false], [true, true]],
        ]);

        output.into_data().assert_eq(&expected, false);
    }

    #[test]
    fn should_support_swap_dims_bool() {
        let tensor = TestTensorBool::<3>::from_data(
            [
                [[false, true, false], [false, false, false]],
                [[false, false, true], [false, false, true]],
            ],
            &Default::default(),
        );

        let output = tensor.swap_dims(0, 2);
        let expected = TensorData::from([
            [[false, false], [false, false]],
            [[true, false], [false, false]],
            [[false, true], [false, true]],
        ]);

        output.into_data().assert_eq(&expected, false);
    }
}