def relu(data=None, name=None, attr=None, out=None, **kwargs):
    """Computes rectified linear activation.

    .. math::
       max(features, 0)

    The storage type of ``relu`` output depends upon the input storage type:

       - relu(default) = default
       - relu(row_sparse) = row_sparse
       - relu(csr) = csr



    Defined in src/operator/tensor/elemwise_unary_op_basic.cc:L85

    Parameters
    ----------
    data : Symbol
        The input array.

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

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