code: def predict(self, obs):
      obs = torch.FloatTensor(obs).to(self.device)
      predict_actions = self.alg.predict(obs)
      return predict_actions.cpu().detach().numpy()
  
file_path: PARL/benchmark/torch/a2c/atari_agent.py
imports: import torch
  import parl
  from parl.utils.scheduler import PiecewiseScheduler, LinearDecayScheduler
  import numpy
label_desc: Use image node_id 3 for calling the Agent obj's underlying member method code with example usage: obj.predict(obs) and returns: predict_actions