code: def get_backbone_para(self):
      layer_features = []
      other_features = []
      model_para = list(self.named_parameters())
      for name, para in model_para:
          if "xception" in name:
              layer_features.append(para)
          else:
              other_features.append(para)
  
      return layer_features, other_features
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
  import torch.utils.model_zoo
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 7 for calling the DeepLabv3_plus obj's underlying member method code with example usage: obj.get_backbone_para() and returns: layer_features,  other_features