code: def scaled_init_method_normal(sigma, num_layers):
      """Init method based on N(0, sigma/sqrt(2*num_layers)."""
      std = sigma / math.sqrt(2.0 * num_layers)
  
      def init_(tensor):
          return torch.nn.init.normal_(tensor, mean=0.0, std=std)
  
      return init_
  
imports: import itertools
  import math
  from typing import Dict, Iterator, List, Tuple, Union
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 5 for calling a global function with example usage: scaled_init_method_normal(sigma, num_layers) and returns: init_, torch