
p (int) -- the number of dimensions

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> a = torch.empty(2, 3).uniform_(1, 2)
  >>> a
  tensor([[1.6835, 1.8474, 1.1929],
          [1.0475, 1.7162, 1.4180]])
  >>> torch.special.multigammaln(a, 2)
  tensor([[0.3928, 0.4007, 0.7586],
          [1.0311, 0.3901, 0.5049]])

torch.special.ndtr(input, *, out=None) -> Tensor
Computes the area under the standard Gaussian probability density
   function, integrated from minus infinity to "input", elementwise.
  \text{ndtr}(x) = \frac{1}{\sqrt{2 \pi}}\int_{-\infty}^{x}
  e^{-\frac{1}{2}t^2} dt

Parameters:
      input (Tensor) -- the input tensor.
Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example::
      >>> torch.special.ndtr(torch.tensor([-3., -2, -1, 0, 1, 2, 3]))
      tensor([0.0013, 0.0228, 0.1587, 0.5000, 0.8413, 0.9772, 0.9987])