code: def predict(self, obs):
      obs = torch.FloatTensor(obs).unsqueeze(0).to(self.device)
      action = self.alg.predict(obs)
      action_numpy = action.cpu().detach().numpy().flatten()
      return action_numpy
  
file_path: PARL/benchmark/torch/ppo/agent.py
imports: import parl
  import torch
  import numpy
  from parl.utils.scheduler import LinearDecayScheduler
label_desc: Use image node_id 2 for calling the PPOAgent obj's underlying member method code with example usage: obj.predict(obs) and returns: action_numpy