docstr: This generator returns all the parameters for the last layer of the net,
  which does the classification of pixel into classes
docstr_tok: ["This","generator","returns","all","the","parameters","for","the","last","layer","of","the","net",",","which","does","the","classification","of","pixel","into","classes"]
code: def get_10x_lr_params(self):
      """
      This generator returns all the parameters for the last layer of the net,
      which does the classification of pixel into classes
      """
      b = []
      b.append(self.layer5.parameters())
      b.append(self.layer6.parameters())
  
      for j in range(len(b)):
          for i in b[j]:
              yield i
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 6 for calling the ResNetMulti obj's underlying member method code with example usage: obj.get_10x_lr_params() without return types