code: def explain(self, inp, ind=None, raw_inp=None):
      self._reset_preference()
      self._baseline_forward(inp)
      g = super(DeepLIFTRescaleExplainer, self).explain(inp, ind)
  
      return g
  
file_path: tensorwatch/tensorwatch/saliency/deeplift.py
imports: from .backprop import GradxInputExplainer
  import types
  import torch.nn.functional
  from torch.autograd import Variable
label_desc: Use image node_id 6 for calling the DeepLIFTRescaleExplainer obj's underlying member method code with example usage: obj.explain(inp, ind, raw_inp) and returns: g