code: def weights_init_normal(m):
      classname = m.__class__.__name__
      # print(classname)
      if classname.find("Conv") != -1:
          init.normal_(m.weight.data, 0.0, 0.02)
      elif classname.find("Linear") != -1:
          init.normal_(m.weight.data, 0.0, 0.02)
      elif classname.find("BatchNorm") != -1:
          init.normal_(m.weight.data, 1.0, 0.02)
          init.constant_(m.bias.data, 0.0)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import init
label_desc: Use image node_id 1 for calling a global function with example usage: weights_init_normal(m) without return types