code: def step(self, obs):
      with torch.no_grad():
          pi, _ = self.pi(obs)
          a = pi.sample()
          logp_a = pi.log_prob(a)
          v = self.v(obs)
      return a.numpy(), v.numpy(), logp_a.numpy()
  
file_path: spinningup/spinup/exercises/pytorch/problem_set_1/exercise1_2_auxiliary.py
imports: import torch
  import torch.nn
  import numpy
label_desc: Use image node_id 2 for calling the ExerciseActorCritic obj's underlying member method code with example usage: obj.step(obs) and returns: a,  v,  logp_a