code: def _get_func(
      self, find_scores_layer_idx, target_layer_idx=-2, **kwargs
  ):
      if isinstance(find_scores_layer_idx, list):
          find_scores_layers = [
              self.get_layers()[x] for x in find_scores_layer_idx
          ]
      else:
          find_scores_layers = self.get_layers()[find_scores_layer_idx]
      return super(SequentialModel, self)._get_func(
          find_scores_layers=find_scores_layers,
          target_layer=self.get_layers()[target_layer_idx],
          input_layers=[self.get_layers()[0]],
          **kwargs,
      )
  
imports: from __future__ import division
  from __future__ import print_function
  from __future__ import absolute_import
  import sys
  import os
  import numpy
  import yaml
  from collections import namedtuple
  from collections import OrderedDict
  from collections import defaultdict
  import deeplift.util
  from deeplift import layers
  from deeplift.layers import *
  from deeplift.layers import ScoringMode
  from deeplift.util import compile_func
label_desc: Use image node_id 3 for calling the SequentialModel obj's underlying member method code with example usage: obj._get_func(find_scores_layer_idx, target_layer_idx) and returns: super