code: def weights_init(m):
      classname = m.__class__.__name__
      if classname.find("Conv") != -1:
          m.weight.data.normal_(0.0, 0.02)
      elif classname.find("BatchNorm") != -1:
          m.weight.data.normal_(1.0, 0.02)
          m.bias.data.fill_(0)
  
file_path: pytorch/test/onnx/model_defs/dcgan.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: weights_init(m) without return types