code: def set_image_backend(backend):
      """
      Specifies the package used to load images.
  
      Args:
          backend (string): Name of the image backend. one of {'PIL', 'accimage'}.
              The :mod:`accimage` package uses the Intel IPP library. It is
              generally faster than PIL, but does not support as many operations.
      """
      global _image_backend
      if backend not in ["PIL", "accimage"]:
          raise ValueError(
              f"Invalid backend '{backend}'. Options are 'PIL' and 'accimage'"
          )
      _image_backend = backend
  
file_path: vision/torchvision/__init__.py
imports: import os
  import warnings
  from modulefinder import Module
  import torch
  from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils
  from .extension import _HAS_OPS
label_desc: Use image node_id 1 for calling a global function with example usage: set_image_backend(backend) without return types