torch.reciprocal
torch.reciprocal(input, *, out=None) -> Tensor
Returns a new tensor with the reciprocal of the elements of "input"
  \text{out}_{i} = \frac{1}{\text{input}_{i}}

Note:
 Unlike NumPy's reciprocal, torch.reciprocal supports integral
 inputs. Integral inputs to reciprocal are automatically promoted
 to the default scalar type.

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a = torch.randn(4)
  >>> a
  tensor([-0.4595, -2.1219, -1.4314,  0.7298])
  >>> torch.reciprocal(a)
  tensor([-2.1763, -0.4713, -0.6986,  1.3702])
