burn-tensor 0.18.0

Tensor library with user-friendly APIs and automatic differentiation support
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#[burn_tensor_testgen::testgen(add)]
mod tests {
    use super::*;
    use burn_tensor::{Tensor, TensorData, backend::Backend};

    #[test]
    fn test_add_d2() {
        let tensor_1 = TestTensor::<2>::from([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]);
        let tensor_2 = TestTensor::from([[6.0, 7.0, 8.0], [9.0, 10.0, 11.0]]);

        let output = tensor_1 + tensor_2;

        output.into_data().assert_eq(
            &TensorData::from([[6.0, 8.0, 10.0], [12.0, 14.0, 16.0]]),
            false,
        );
    }

    #[test]
    fn test_add_broadcast() {
        let tensor_1 = TestTensor::<2>::from([[0.0, 1.0, 2.0]]);
        let tensor_2 = TestTensor::from([[3.0, 4.0, 5.0], [6.0, 7.0, 8.0]]);

        let output = tensor_1 + tensor_2;

        output.into_data().assert_eq(
            &TensorData::from([[3.0, 5.0, 7.0], [6.0, 8.0, 10.0]]),
            false,
        );
    }

    #[test]
    fn test_add_different_strides_rhs() {
        // We need to execute an operation after `from data` to trigger inplace in some backends.
        // Which is the operation that might be problematic in this case.
        let tensor_1 = TestTensor::<2>::from([[0.0, 1.0], [2.0, 3.0]]) * 1;
        let tensor_2 = TestTensor::from([[4.0, 5.0], [6.0, 7.0]]) * 1;

        let output = tensor_1 + tensor_2.transpose();

        output
            .into_data()
            .assert_eq(&TensorData::from([[4.0, 7.0], [7.0, 10.0]]), false);
    }

    #[test]
    fn test_add_different_strides_lhs() {
        // We need to execute an operation after `from data` to trigger inplace in some backends.
        // Which is the operation that might be problematic in this case.
        let tensor_1 = TestTensor::<2>::from([[0.0, 1.0], [2.0, 3.0]]) * 1;
        let tensor_2 = TestTensor::from([[4.0, 5.0], [6.0, 7.0]]) * 1;

        let output = tensor_1.transpose() + tensor_2;

        output
            .into_data()
            .assert_eq(&TensorData::from([[4.0, 7.0], [7.0, 10.0]]), false);
    }

    #[test]
    fn test_add_different_strides_broadcast() {
        // We need to execute an operation after `from data` to trigger inplace in some backends.
        // Which is the operation that might be problematic in this case.
        let tensor_1 = TestTensor::<2>::from([[0.0, 1.0], [2.0, 3.0]]) * 1;
        let tensor_2 = TestTensor::from([[4.0, 5.0]]) * 1;

        let output = tensor_1.transpose() + tensor_2;

        output
            .into_data()
            .assert_eq(&TensorData::from([[4.0, 7.0], [5.0, 8.0]]), false);
    }

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

        let output = tensor + scalar;

        output
            .into_data()
            .assert_eq(&TensorData::from([[2.0, 3.0, 4.0], [5.0, 6.0, 7.0]]), false);
    }

    #[test]
    fn add_maybe_fused_not_contiguous() {
        let tensor1 = TestTensorInt::arange(0..8, &Default::default()).float();
        let tensor2 = TestTensorInt::arange(8..16, &Default::default()).float();
        let tensor1 = tensor1.reshape([2, 4]);
        let tensor2 = tensor2.reshape([4, 2]);
        let tensor2 = tensor2.swap_dims(0, 1);

        TestBackend::sync(&tensor2.device());

        let output = tensor1 + tensor2;

        output.into_data().assert_eq(
            &TensorData::from([[8.0, 11.0, 14.0, 17.0], [13.0, 16.0, 19.0, 22.0]]),
            false,
        );
    }

    #[test]
    fn add_maybe_fused_not_contiguous_broadcasted() {
        let tensor1 = TestTensorInt::arange(0..8, &Default::default()).float();
        let tensor2 = TestTensorInt::arange(8..10, &Default::default()).float();
        let tensor1 = tensor1.reshape([2, 4]);
        let tensor2 = tensor2.reshape([1, 2]);
        let tensor2 = tensor2.swap_dims(0, 1);

        TestBackend::sync(&tensor2.device());

        let output = tensor2 + tensor1;

        output.into_data().assert_eq(
            &TensorData::from([[8.0, 9.0, 10.0, 11.0], [13.0, 14.0, 15.0, 16.0]]),
            false,
        );
    }

    #[test]
    fn test_add_d2_int() {
        let tensor_1 = TestTensorInt::<2>::from([[0, 1, 2], [3, 4, 5]]);
        let tensor_2 = TestTensorInt::from([[6, 7, 8], [9, 10, 11]]);

        let output = tensor_1 + tensor_2;

        output
            .into_data()
            .assert_eq(&TensorData::from([[6, 8, 10], [12, 14, 16]]), false);
    }

    #[test]
    fn test_add_broadcast_int() {
        let tensor_1 = TestTensorInt::<2>::from([[0, 1, 2]]);
        let tensor_2 = TestTensorInt::from([[3, 4, 5], [6, 7, 8]]);

        let output = tensor_1 + tensor_2;

        output
            .into_data()
            .assert_eq(&TensorData::from([[3, 5, 7], [6, 8, 10]]), false);
    }

    #[test]
    fn should_support_add_scalar_ops_int() {
        let scalar = 2;
        let tensor = TestTensorInt::<2>::from([[0, 1, 2], [3, 4, 5]]);

        let output = tensor + scalar;

        output
            .into_data()
            .assert_eq(&TensorData::from([[2, 3, 4], [5, 6, 7]]), false);
    }
}