class_docstr: Salience map using the values of gradient * input as attribution.
class_docstr_tok: ["Salience","map","using","the","values","of","gradient","*","input","as","attribution","."]
code: def meta_spec(self) -> types.Spec:
      return {
          "saliency": types.TokenSalience(autorun=True, signed=True)
      }
  
imports: from typing import cast, Optional
  from absl import logging
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import dtypes
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components.citrus import utils
  from lit_nlp.lib import utils
  import numpy
label_desc: Use image node_id 5 for calling the GradientDotInput obj's underlying member method code with example usage: obj.meta_spec() and returns: dict