code: def init_network(net: nn.Module, init_std: float):
      for key, val in net.named_parameters():
          if "weight" in key or "bias" in key:
              _init_weight(val.data, init_std)
  
imports: from collections import OrderedDict
  import os
  import numpy
  import torch
  from torch import nn
  from gluoncv.torch.utils.coot_utils import truncated_normal_fill
label_desc: Use image node_id 3 for calling a global function with example usage: init_network(net, init_std) without return types