tensor([ 0.5724,  0.0000, -0.1208])
torch.special.i0(input, *, out=None) -> Tensor
Computes the zeroth order modified Bessel function of the first
   kind for each element of "input".
  \text{out}_{i} = I_0(\text{input}_{i}) = \sum_{k=0}^{\infty}
  \frac{(\text{input}_{i}^2/4)^k}{(k!)^2}

Parameters:
      input (Tensor) -- the input tensor
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> torch.i0(torch.arange(5, dtype=torch.float32))
  tensor([ 1.0000,  1.2661,  2.2796,  4.8808, 11.3019])

torch.special.i0e(input, *, out=None) -> Tensor
Computes the exponentially scaled zeroth order modified Bessel
   function of the first kind (as defined below) for each element of
   "input".
  \text{out}_{i} = \exp(-|x|) * i0(x) = \exp(-|x|) *
  \sum_{k=0}^{\infty} \frac{(\text{input}_{i}^2/4)^k}{(k!)^2}

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments: