True, the columns are x^0, x^1, ..., x^{(N-1)}.
Return type:
      Tensor
Example:
  >>> x = torch.tensor([1, 2, 3, 5])
  >>> torch.vander(x)
  tensor([[  1,   1,   1,   1],
          [  8,   4,   2,   1],
          [ 27,   9,   3,   1],
          [125,  25,   5,   1]])
  >>> torch.vander(x, N=3)
  tensor([[ 1,  1,  1],
          [ 4,  2,  1],
          [ 9,  3,  1],
          [25,  5,  1]])
  >>> torch.vander(x, N=3, increasing=True)
  tensor([[ 1,  1,  1],
          [ 1,  2,  4],
          [ 1,  3,  9],
          [ 1,  5, 25]])
