class_docstr: Salience map from gradient L2 norm.
class_docstr_tok: ["Salience","map","from","gradient","L2","norm","."]
code: def meta_spec(self) -> types.Spec:
      return {
          "saliency": types.TokenSalience(autorun=True, signed=False)
      }
  
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 GradientNorm obj's underlying member method code with example usage: obj.meta_spec() and returns: dict