docstr: Remove weight normalization module from all of the layers.
docstr_tok: ["Remove","weight","normalization","module","from","all","of","the","layers","."]
code: def remove_weight_norm(self):
      """Remove weight normalization module from all of the layers."""
  
      def _remove_weight_norm(m):
          try:
              # print(f"Weight norm is removed from {m}.")
              parametrize.remove_parametrizations(m, "weight")
          except ValueError:  # this module didn't have weight norm
              return
  
      self.apply(_remove_weight_norm)
  
file_path: TTS/TTS/vocoder/models/univnet_generator.py
imports: from typing import List
  import numpy
  import torch
  import torch.nn.functional
  from torch.nn.utils import parametrize
  from TTS.vocoder.layers.lvc_block import LVCBlock
label_desc: Use image node_id 3 for calling the UnivnetGenerator obj's underlying member method code with example usage: obj.remove_weight_norm() without return types