code: def __init__(self, model):
      super(DeepLIFTRescaleExplainer, self).__init__(model)
      self._prepare_reference()
      self.baseline_inp = None
      self._override_backward()
  
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 1 to create a new DeepLIFTRescaleExplainer object from inherited base classes: GradxInputExplainer with example: obj = DeepLIFTRescaleExplainer(model)