code: def remove_weight_norm(self):
      print("Removing weight norm...")
      remove_weight_norm(self.conv_pre)
      for layer in self.conv_post:
          if len(layer.state_dict()) != 0:
              remove_weight_norm(layer)
      for res_block in self.res_stack:
          res_block.remove_weight_norm()
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Conv2d
  from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.module import NeuralModule
  from nemo.core.neural_types.elements import AudioSignal, MelSpectrogramType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 5 for calling the Generator obj's underlying member method code with example usage: obj.remove_weight_norm() without return types