code: def _nullspace(A: Tensor) -> Tuple[Tensor, Tensor]:
      """Compute the null space of A.
  
      Return the smallest singular value and the corresponding vector.
      """
      _, s, v = _torch_svd_cast(A)
      return s[..., -1], v[..., -1]
  
file_path: kornia/kornia/geometry/epipolar/projection.py
imports: from typing import Tuple, Union
  import torch
  from torch.linalg import qr
  from kornia.core import Tensor, concatenate, ones_like, pad, stack, zeros_like
  from kornia.utils import eye_like, vec_like
  from kornia.utils.helpers import _torch_svd_cast
  from .numeric import cross_product_matrix
label_desc: Use image node_id 7 for calling a global function with example usage: _nullspace(A) and returns: s,  v