torch.special.ndtri(input, *, out=None) -> Tensor
Computes the argument, x, for which the area under the Gaussian
   probability density function (integrated from minus infinity to x)
   is equal to "input", elementwise.
  \text{ndtri}(p) = \sqrt{2}\text{erf}^{-1}(2p - 1)

Note:
 Also known as quantile function for Normal Distribution.

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example::
      >>> torch.special.ndtri(torch.tensor([0, 0.25, 0.5, 0.75, 1]))
      tensor([   -inf, -0.6745,  0.0000,  0.6745,     inf])
torch.special.polygamma(n, input, *, out=None) -> Tensor
Computes the n^{th} derivative of the digamma function on "input".
   n \geq 0 is called the order of the polygamma function.
  \psi^{(n)}(x) = \frac{d^{(n)}}{dx^{(n)}} \psi(x)

Note:
 This function is implemented only for nonnegative integers n \geq
 0.

Parameters: