def softmax_cross_entropy(data=None, label=None, name=None, attr=None, out=
    None, **kwargs):
    """Calculate cross entropy of softmax output and one-hot label.

    - This operator computes the cross entropy in two steps:
      - Applies softmax function on the input array.
      - Computes and returns the cross entropy loss between the softmax output and the labels.

    - The softmax function and cross entropy loss is given by:

      - Softmax Function:

      .. math:: \\text{softmax}(x)_i = \\frac{exp(x_i)}{\\sum_j exp(x_j)}

      - Cross Entropy Function:

      .. math:: \\text{CE(label, output)} = - \\sum_i \\text{label}_i \\log(\\text{output}_i)

    Example::

      x = [[1, 2, 3],
           [11, 7, 5]]

      label = [2, 0]

      softmax(x) = [[0.09003057, 0.24472848, 0.66524094],
                    [0.97962922, 0.01794253, 0.00242826]]

      softmax_cross_entropy(data, label) = - log(0.66524084) - log(0.97962922) = 0.4281871



    Defined in src/operator/loss_binary_op.cc:L59

    Parameters
    ----------
    data : Symbol
        Input data
    label : Symbol
        Input label

    name : string, optional.
        Name of the resulting symbol.

    Returns
    -------
    Symbol
        The result symbol.
    """
    return 0,
