code: def _test_load_td3(self, gpu):
      obs_size = 11
      action_size = 3
  
      def make_q_func_with_optimizer():
          q_func = nn.Sequential(
              pnn.ConcatObsAndAction(),
              nn.Linear(obs_size + action_size, 400),
              nn.ReLU(),
              nn.Linear(400, 300),
              nn.ReLU(),
              nn.Linear(300, 1),
          )
          q_func_optimizer = torch.optim.Adam(q_func.parameters())
          return q_func, q_func_optimizer
  
      q_func1, q_func1_optimizer = make_q_func_with_optimizer()
      q_func2, q_func2_optimizer = make_q_func_with_optimizer()
  
      policy = nn.Sequential(
          nn.Linear(obs_size, 400),
          nn.ReLU(),
          nn.Linear(400, 300),
          nn.ReLU(),
          nn.Linear(300, action_size),
          nn.Tanh(),
          pfrl.policies.DeterministicHead(),
      )
      policy_optimizer = torch.optim.Adam(policy.parameters())
  
      rbuf = replay_buffers.ReplayBuffer(100)
      explorer = explorers.AdditiveGaussian(
          scale=0.1, low=[-1.0, -1.0, -1.0], high=[1.0, 1.0, 1.0]
      )
  
      agent = agents.TD3(
          policy,
          q_func1,
          q_func2,
          policy_optimizer,
          q_func1_optimizer,
          q_func2_optimizer,
          rbuf,
          gamma=0.99,
          soft_update_tau=5e-3,
          explorer=explorer,
          replay_start_size=1000,
          gpu=gpu,
          minibatch_size=100,
          burnin_action_func=None,
      )
  
      downloaded_model, exists = download_model(
          "TD3", "Hopper-v2", model_type=self.pretrained_type
      )
      agent.load(downloaded_model)
      if os.environ.get("PFRL_ASSERT_DOWNLOADED_MODEL_IS_CACHED"):
          assert exists
  
imports: import os
  import numpy
  import pytest
  import torch
  from torch import nn
  import pfrl
  import pfrl.nn
  from pfrl import agents, explorers, replay_buffers
  from pfrl.initializers import init_chainer_default
  from pfrl.utils import download_model
label_desc: Use image node_id 2 for calling the TestLoadTD3 obj's underlying member method code with example usage: obj._test_load_td3(gpu) and returns: q_func,  q_func_optimizer