code: def _batch_value_learn(self, obs, val):
      feed = {"obs": obs, "val": val}
      value_loss = self.fluid_executor.run(
          self.value_learn_program,
          feed=feed,
          fetch_list=self.value_learn_output,
      )[0]
      return value_loss
  
file_path: PARL/benchmark/fluid/PPO/mujoco_agent.py
imports: import numpy
  import parl
  from parl import layers
  from paddle import fluid
  from parl.utils import logger
label_desc: Use image node_id 7 for calling the MujocoAgent obj's underlying member method code with example usage: obj._batch_value_learn(obs, val) and returns: value_loss