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_flip)]
mod tests {
    use super::*;
    use burn_tensor::TensorData;

    #[test]
    fn flip_float() {
        let tensor = QTensor::<TestBackend, 3>::int8([[[0.0, 1.0, 2.0]], [[3.0, 4.0, 5.0]]]);

        let flipped = tensor.clone().flip([0, 2]);
        let expected = TensorData::from([[[5., 4., 3.]], [[2., 1., 0.]]]);

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

        // Test with no flip
        let flipped = tensor.clone().flip([]);
        tensor.into_data().assert_eq(&flipped.into_data(), true);
    }

    #[test]
    #[should_panic]
    fn flip_duplicated_axes() {
        let tensor = QTensor::<TestBackend, 3>::int8([[[0.0, 1.0, 2.0]], [[3.0, 4.0, 5.0]]]);

        // Test with a duplicated axis
        let _ = tensor.flip([0, 0, 1]);
    }

    #[test]
    #[should_panic]
    fn flip_out_of_bound_axis() {
        let tensor = QTensor::<TestBackend, 3>::int8([[[0.0, 1.0, 2.0]], [[3.0, 4.0, 5.0]]]);

        // Test with an out of bound axis
        let _ = tensor.clone().flip([3, 0, 1]);
    }
}