code: def weights_init_(m):
      if isinstance(m, nn.Linear):
          torch.nn.init.xavier_uniform_(m.weight, gain=1)
          torch.nn.init.constant_(m.bias, 0)
  
file_path: PARL/benchmark/torch/maddpg/simple_model.py
imports: import parl
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: weights_init_(m) without return types