code: def remove_weight_norm(self):
      for _, layer in enumerate(self.layers):
          if len(layer.state_dict()) != 0:
              try:
                  nn.utils.remove_weight_norm(layer)
              except ValueError:
                  layer.remove_weight_norm()
  
file_path: TTS/TTS/vocoder/models/melgan_generator.py
imports: import torch
  from torch import nn
  from torch.nn.utils import weight_norm
  from TTS.vocoder.layers.melgan import ResidualStack
label_desc: Use image node_id 4 for calling the MelganGenerator obj's underlying member method code with example usage: obj.remove_weight_norm() without return types