Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
torch.special.scaled_modified_bessel_k1(input, *, out=None) -> Tensor
Scaled modified Bessel function of the second kind of order 1.
Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
torch.special.sinc(input, *, out=None) -> Tensor
Computes the normalized sinc of "input."
  \text{out}_{i} = \begin{cases}   1, & \text{if}\
  \text{input}_{i}=0 \\   \sin(\pi \text{input}_{i}) / (\pi
  \text{input}_{i}), & \text{otherwise} \end{cases}

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example::
      >>> t = torch.randn(4)
      >>> t
      tensor([ 0.2252, -0.2948,  1.0267, -1.1566])
      >>> torch.special.sinc(t)
      tensor([ 0.9186,  0.8631, -0.0259, -0.1300])