code: def make_agent(self, env, gpu):
      model = self.make_model(env)
      opt = torch.optim.Adam(model.parameters(), lr=3e-4)
      return self.make_a2c_agent(
          env=env,
          model=model,
          opt=opt,
          gpu=gpu,
          num_processes=self.num_processes,
      )
  
imports: import os
  import tempfile
  import numpy
  import pytest
  import torch
  from torch import nn
  import pfrl
  from pfrl.agents.a2c import A2C
  from pfrl.envs.abc import ABC
  from pfrl.experiments.evaluator import batch_run_evaluation_episodes
  from pfrl.nn import Branched
  from pfrl.policies import GaussianHeadWithStateIndependentCovariance, SoftmaxCategoricalHead
label_desc: Use image node_id 7 for calling the TestA2C obj's underlying member method code with example usage: obj.make_agent(env, gpu) and returns: self