code: def tensor_to_arraybox(x, *args):
      """Convert a :class:`~.tensor` to an Autograd ``ArrayBox``.
  
      Args:
          x (array_like): Any data structure in any form that can be converted to
              an array. This includes lists, lists of tuples, tuples, tuples of tuples,
              tuples of lists and ndarrays.
  
      Returns:
          autograd.numpy.numpy_boxes.ArrayBox: Autograd ArrayBox instance of the array
  
      Raises:
          NonDifferentiableError: if the provided tensor is non-differentiable
      """
      if isinstance(x, tensor):
          if x.requires_grad:
              return ArrayBox(x, *args)
  
          raise NonDifferentiableError(
              f"{x} is non-differentiable. Set the requires_grad attribute to True."
          )
  
      return ArrayBox(x, *args)
  
imports: import numpy
  from autograd import numpy
  from autograd.core import VSpace
  from autograd.extend import defvjp, primitive
  from autograd.numpy.numpy_boxes import ArrayBox
  from autograd.numpy.numpy_vspaces import ArrayVSpace, ComplexArrayVSpace
  from autograd.tracer import Box
  from pennylane.operation import Operator
label_desc: Use image node_id 3 for calling a global function with example usage: tensor_to_arraybox(x) and returns: ArrayBox, ArrayBox