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

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a = torch.randn(4)
  >>> a
  tensor([ 0.5380, -0.8632, -0.1265,  0.9399])
  >>> torch.sinh(a)
  tensor([ 0.5644, -0.9744, -0.1268,  1.0845])

Note:
 When "input" is on the CPU, the implementation of torch.sinh may
 use the Sleef library, which rounds very large results to
 infinity or negative infinity. See here for details.
