code: def remove_weight_norm(self):
      def _remove_weight_norm(m):
          try:
              print(f"Weight norm is removed from {m}.")
              nn.utils.remove_weight_norm(m)
          except ValueError:  # this module didn't have weight norm
              return
  
      self.apply(_remove_weight_norm)
  
file_path: TTS/TTS/vocoder/models/parallel_wavegan_discriminator.py
imports: import math
  import torch
  from torch import nn
  from TTS.vocoder.layers.parallel_wavegan import ResidualBlock
label_desc: Use image node_id 4 for calling the ResidualParallelWaveganDiscriminator obj's underlying member method code with example usage: obj.remove_weight_norm() without return types