burn-tensor 0.16.1

Tensor library with user-friendly APIs and automatic differentiation support
Documentation 
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#[burn_tensor_testgen::testgen(q_cat)]
mod tests {
    use super::*;
    use alloc::vec;
    use burn_tensor::TensorData;

    #[test]
    fn should_support_cat_ops_2d_dim0() {
        let tensor_1 = QTensor::<TestBackend, 2>::int8([[1.0, 2.0, 3.0]]);
        let tensor_2 = QTensor::<TestBackend, 2>::int8([[4.0, 5.0, 6.0]]);

        let output = TestTensor::cat(vec![tensor_1, tensor_2], 0);
        let expected = TensorData::from([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]);

        // Precision 1 to approximate de/quantization errors
        output
            .dequantize()
            .into_data()
            .assert_approx_eq(&expected, 1);
    }

    #[test]
    fn should_support_cat_ops_2d_dim1() {
        let tensor_1 = QTensor::<TestBackend, 2>::int8([[1.0, 2.0, 3.0]]);
        let tensor_2 = QTensor::<TestBackend, 2>::int8([[4.0, 5.0, 6.0]]);

        let output = TestTensor::cat(vec![tensor_1, tensor_2], 1);
        let expected = TensorData::from([[1.0, 2.0, 3.0, 4.0, 5.0, 6.0]]);

        // Precision 1 to approximate de/quantization errors
        output
            .dequantize()
            .into_data()
            .assert_approx_eq(&expected, 1);
    }

    #[test]
    fn should_support_cat_ops_3d() {
        let tensor_1 = QTensor::<TestBackend, 3>::int8([[[1.0, 2.0, 3.0]], [[1.1, 2.1, 3.1]]]);
        let tensor_2 = QTensor::<TestBackend, 3>::int8([[[4.0, 5.0, 6.0]]]);

        let output = TestTensor::cat(vec![tensor_1, tensor_2], 0);
        let expected = TensorData::from([[[1.0, 2.0, 3.0]], [[1.1, 2.1, 3.1]], [[4.0, 5.0, 6.0]]]);

        // Precision 1 to approximate de/quantization errors
        output
            .dequantize()
            .into_data()
            .assert_approx_eq(&expected, 1);
    }

    #[test]
    #[should_panic]
    fn should_panic_when_dimensions_are_not_the_same() {
        let tensor_1 = QTensor::<TestBackend, 2>::int8([[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]]);
        let tensor_2 = QTensor::<TestBackend, 2>::int8([[4.0, 5.0]]);

        let output = TestTensor::cat(vec![tensor_1, tensor_2], 0);
    }

    #[test]
    #[should_panic]
    fn should_panic_when_cat_exceeds_dimension() {
        let tensor_1 = QTensor::<TestBackend, 2>::int8([[1.0, 2.0, 3.0]]);
        let tensor_2 = QTensor::<TestBackend, 2>::int8([[4.0, 5.0, 6.0]]);

        let output = TestTensor::cat(vec![tensor_1, tensor_2], 3);
    }
}