code: def _init_parameters(self):
      for m in self.modules():
          if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear):
              # xavier init
              nn.init.xavier_normal_(m.weight)
              if m.bias is not None:
                  nn.init.constant_(m.bias, 0)
  
file_path: PARL/benchmark/torch/a2c/atari_model.py
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import parl
label_desc: Use image node_id 5 for calling the ActorCritic obj's underlying member method code with example usage: obj._init_parameters() without return types