code: def jacobian(func):
      """Return a function that returns the jacobian of func.
  
      Parameters
      ----------
      func : callable
          Function whose jacobian is computed.
  
      Returns
      -------
      _ : callable
          Function taking point as input and returning
          the jacobian of func at point.
      """
  
      def _jacobian(point):
          return _torch_jacobian(func=lambda x: func(x), inputs=point)
  
      return _jacobian
  
file_path: geomstats/geomstats/_backend/pytorch/autodiff.py
imports: import functools
  import numpy
  import torch
  from torch.autograd.functional import hessian
  from torch.autograd.functional import jacobian
label_desc: Use image node_id 2 for calling a global function with example usage: jacobian(func) and returns: _jacobian, _torch_jacobian