Parameters:
      x (Tensor) -- tensor of shape (, n)* where *** is zero
      or more batch dimensions consisting of vectors.
Keyword Arguments:
      N (int, optional) -- Number of columns in the output.
      Default: x.size(-1)
Example:
  >>> x = torch.tensor([1, 2, 3, 5])
  >>> linalg.vander(x)
  tensor([[  1,   1,   1,   1],
          [  1,   2,   4,   8],
          [  1,   3,   9,  27],
          [  1,   5,  25, 125]])
  >>> linalg.vander(x, N=3)
  tensor([[ 1,  1,  1],
          [ 1,  2,  4],
          [ 1,  3,  9],
          [ 1,  5, 25]])
