code: def make_agent(self, env, gpu):
      policy, q_func = self.make_model(env)
  
      actor_opt = torch.optim.Adam(policy.parameters(), lr=1e-4)
      critic_opt = torch.optim.Adam(q_func.parameters(), lr=1e-3)
  
      explorer = self.make_explorer(env)
      rbuf = self.make_replay_buffer(env)
      return self.make_ddpg_agent(
          env=env,
          policy=policy,
          q_func=q_func,
          actor_opt=actor_opt,
          critic_opt=critic_opt,
          explorer=explorer,
          rbuf=rbuf,
          gpu=gpu,
      )
  
imports: import numpy
  import torch
  from basetest_training import _TestTraining
  from torch import nn
  from pfrl import replay_buffers
  from pfrl.envs.abc import ABC
  from pfrl.explorers.epsilon_greedy import LinearDecayEpsilonGreedy
  from pfrl.nn import BoundByTanh, ConcatObsAndAction, RecurrentSequential
  from pfrl.policies import DeterministicHead
label_desc: Use image node_id 1 for calling the _TestDDPGOnABC obj's underlying member method code with example usage: obj.make_agent(env, gpu) and returns: self