code: def get_params(self):
      wd_params, nowd_params, lr_mul_wd_params, lr_mul_nowd_params = (
          [],
          [],
          [],
          [],
      )
      for name, child in self.named_children():
          child_wd_params, child_nowd_params = child.get_params()
          if isinstance(child, FeatureFusionModule) or isinstance(
              child, BiSeNetOutput
          ):
              lr_mul_wd_params += child_wd_params
              lr_mul_nowd_params += child_nowd_params
          else:
              wd_params += child_wd_params
              nowd_params += child_nowd_params
      return (
          wd_params,
          nowd_params,
          lr_mul_wd_params,
          lr_mul_nowd_params,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from ParsingResnet import Resnet18
label_desc: Use image node_id 4 for calling the BiSeNet obj's underlying member method code with example usage: obj.get_params() and returns: wd_params,  nowd_params,  lr_mul_wd_params,  lr_mul_nowd_params