Tensor of size ``N`` containing computed target
              log probabilities for each example
            * **loss** is a Scalar representing the computed negative
              log likelihood loss

    Shape:
        - input: :math:`(N, \texttt{in\_features})` or :math:`(\texttt{in\_features})`
        - target: :math:`(N)` or :math:`()` where each value satisfies :math:`0 <= \texttt{target[i]} <= \texttt{n\_classes}`
        - output1: :math:`(N)` or :math:`()`
        - output2: ``Scalar``

    .. _Zipf's law: https://en.wikipedia.org/wiki/Zipf%27s_law
    Ú