code: def forward(self, obs):
      x = F.relu(self.l1(obs))
      x = F.relu(self.l2(x))
  
      act_mean = self.mean_linear(x)
      act_std = self.std_linear(x)
      act_log_std = torch.clamp(
          act_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX
      )
      return act_mean, act_log_std
  
file_path: PARL/benchmark/torch/oac/mujoco_model.py
imports: import parl
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the Actor obj's underlying member method code with example usage: obj.forward(obs) and returns: act_mean,  act_log_std