code: def predict(self, obs):
      act_mean, _ = self.model.policy(obs)
      action = torch.tanh(act_mean)
      return action
  
file_path: PARL/parl/algorithms/torch/oac.py
imports: import parl
  import torch
  import math
  from torch.distributions import Normal
  import torch.nn.functional
  from parl.utils.utils import check_model_method
  from copy import deepcopy
label_desc: Use image node_id 2 for calling the OAC obj's underlying member method code with example usage: obj.predict(obs) and returns: action