code: def _rescale_module(module):
      r"""
      Rescales initial weight scale for all models within the module.
      """
      for sub in module.modules():
          if isinstance(
              sub,
              (
                  nn.Conv1d,
                  nn.ConvTranspose1d,
                  nn.Conv2d,
                  nn.ConvTranspose2d,
              ),
          ):
              std = sub.weight.std().detach()
              scale = (std / 0.1) ** 0.5
              sub.weight.data /= scale
              if sub.bias is not None:
                  sub.bias.data /= scale
  
imports: import math
  import typing
  from typing import Any, Dict, List, Optional
  import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling a global function with example usage: _rescale_module(module) without return types