torch.asinh
torch.asinh(input, *, out=None) -> Tensor
Returns a new tensor with the inverse hyperbolic sine of the
   elements of "input".
  \text{out}_{i} = \sinh^{-1}(\text{input}_{i})

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a = torch.randn(4)
  >>> a
  tensor([ 0.1606, -1.4267, -1.0899, -1.0250 ])
  >>> torch.asinh(a)
  tensor([ 0.1599, -1.1534, -0.9435, -0.8990 ])
