code: def predict(self, obs):
      out1 = self.fc1(obs)
      out2 = self.fc2(out1)
      out3 = self.fc3(out2)
      out4 = self.fc4(out3)
      out5 = self.fc5(out4)
      out6 = self.fc6(out5)
      return out6
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/powernet_model.py
imports: import parl
  import paddle.fluid
  from parl import layers
label_desc: Use image node_id 2 for calling the CombinedActionsModel obj's underlying member method code with example usage: obj.predict(obs) and returns: out6