Parameters:
      * input (Tensor) -- the first non-negative input tensor
  * **other** (*Tensor*) -- the second non-negative input tensor

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a1 = torch.tensor([4.0])
  >>> a2 = torch.tensor([3.0, 4.0, 5.0])
  >>> a = torch.special.gammaincc(a1, a2)
  tensor([0.6472, 0.4335, 0.2650])
  >>> b = torch.special.gammainc(a1, a2) + torch.special.gammaincc(a1, a2)
  tensor([1., 1., 1.])

torch.special.gammaln(input, *, out=None) -> Tensor
Computes the natural logarithm of the absolute value of the gamma
   function on "input".
  \text{out}_{i} = \ln \Gamma(|\text{input}_{i}|)

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a = torch.arange(0.5, 2, 0.5)
  >>> torch.special.gammaln(a)
  tensor([ 0.5724,  0.0000, -0.1208])
