code: def all_interpreters():
      return {
          "Grad": VanillaGradients(),
          "Integrated Gradients": IntegratedGradients(),
          "Blur IG": BlurIG(),
          "Guided IG": GuidedIG(),
          "XRAI": XRAI(),
          "XRAI GIG": XRAIGIG(),
      }
  
imports: import abc
  from collections.abc import Callable
  from typing import Any, NamedTuple, Optional, cast
  from absl import logging
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import image_utils
  from lit_nlp.lib import utils
  import numpy
  import saliency
label_desc: Use image node_id 3 for calling a global function with example usage: all_interpreters() and returns: dict