code: def pred_batch(self, obs):
      batch_obs = np.expand_dims(obs, axis=0)
  
      with self.model_lock:
          action = self.agent.predict(batch_obs.astype("float32"))
  
      action = np.squeeze(action, axis=0)
      return action
  
imports: import os
  import parl
  import queue
  import six
  import threading
  import time
  import numpy
  from actor import Actor
  from opensim_model import OpenSimModel
  from opensim_agent import OpenSimAgent
  from parl.utils import logger, summary, get_gpu_count
  from replay_memory import ReplayMemory
  from parl.utils.window_stat import WindowStat
  from parl.remote.client import get_global_client
  from parl.utils import machine_info
label_desc: Use image node_id 12 for calling the Learner obj's underlying member method code with example usage: obj.pred_batch(obs) and returns: action