torch.logaddexp
torch.logaddexp(input, other, *, out=None) -> Tensor
Logarithm of the sum of exponentiations of the inputs.
Calculates pointwise \log\left(e^x + e^y\right). This function is
   useful in statistics where the calculated probabilities of events
   may be so small as to exceed the range of normal floating point
   numbers. In such cases the logarithm of the calculated probability
   is stored. This function allows adding probabilities stored in such
   a fashion.
This op should be disambiguated with "torch.logsumexp()" which
   performs a reduction on a single tensor.
Parameters:
      * input (Tensor) -- the input tensor.
  * **other** (*Tensor*) -- the second input tensor

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> torch.logaddexp(torch.tensor([-1.0]), torch.tensor([-1.0, -2, -3]))
  tensor([-0.3069, -0.6867, -0.8731])
