Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> x = torch.zeros(5,)
  >>> y = torch.tensor([-1, 0, 1, float('inf'), float('nan')])
  >>> torch.special.xlogy(x, y)
  tensor([0., 0., 0., 0., nan])
  >>> x = torch.tensor([1, 2, 3])
  >>> y = torch.tensor([3, 2, 1])
  >>> torch.special.xlogy(x, y)
  tensor([1.0986, 1.3863, 0.0000])
  >>> torch.special.xlogy(x, 4)
  tensor([1.3863, 2.7726, 4.1589])
  >>> torch.special.xlogy(2, y)
  tensor([2.1972, 1.3863, 0.0000])

torch.special.zeta(input, other, *, out=None) -> Tensor
Computes the Hurwitz zeta function, elementwise.
  \zeta(x, q) = \sum_{k=0}^{\infty} \frac{1}{(k + q)^x}

Parameters:
      * input (Tensor) -- the input tensor corresponding to x.
  * **other** (*Tensor*) -- the input tensor corresponding to *q*.

Note:
 The Riemann zeta function corresponds to the case when *q = 1*

Keyword Arguments: