old_contents: from torchvision import models
  from torchvision import datasets
  from torchvision import transforms
  from torchvision import utils
  
  try:
      from .version import __version__  # noqa: F401
  except:
      pass
  
  _image_backend = 'PIL'
  
  
  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("Invalid backend '{}'. Options are 'PIL' and 'accimage'"
                           .format(backend))
      _image_backend = backend
  
  
  def get_image_backend():
      """
      Gets the name of the package used to load images
      """
      return _image_backend
  
new_contents: from torchvision import models
  from torchvision import datasets
  from torchvision import transforms
  from torchvision import utils
  
  try:
      from .version import __version__  # noqa: F401
  except ImportError:
      pass
  
  _image_backend = 'PIL'
  
  
  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("Invalid backend '{}'. Options are 'PIL' and 'accimage'"
                           .format(backend))
      _image_backend = backend
  
  
  def get_image_backend():
      """
      Gets the name of the package used to load images
      """
      return _image_backend
  
subject: fix lint