class_docstr: A base class for all interpreters that use the Saliency library.
class_docstr_tok: ["A","base","class","for","all","interpreters","that","use","the","Saliency","library","."]
code: def make_saliency_call(
      self,
      saliency_object: saliency.core.CoreSaliency,
      x_value: np.ndarray,
      call_model_function: CallModelFunction,
      extra_saliency_params: dict[str, Any],
  ) -> np.ndarray:
      return saliency_object.GetMask(
          x_value=x_value,
          call_model_function=call_model_function,
          **extra_saliency_params,
      )
  
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 5 for calling the SaliencyLibInterpreter obj's underlying member method code with example usage: obj.make_saliency_call(saliency_object, x_value, call_model_function, extra_saliency_params) and returns: saliency_object