code: def eye(*args, like=None, **kwargs):
      """Creates an identity array or tensor object of the target framework.
  
      This method preserves the Torch device used.
  
      Returns:
          tensor_like: the tensor_like object of the framework
      """
      res = np.eye(*args, like=like, **kwargs)
      if like is not None and get_interface(like) == "torch":
          res = res.to(device=like.device)
      return res
  
imports: import functools
  from collections.abc import Sequence
  import autoray
  import numpy
  from autograd.numpy.numpy_boxes import ArrayBox
  from autoray import numpy
  from numpy import ndarray
  from .None import single_dispatch
  from .utils import cast, cast_like, get_interface, requires_grad
label_desc: Use image node_id 2 for calling a global function with example usage: eye() and returns: res