code: def test_load_a3c(self):
      from pfrl.policies import SoftmaxCategoricalHead
  
      obs_size = 4
      n_actions = 4
      a3c_model = nn.Sequential(
          nn.Conv2d(obs_size, 16, 8, stride=4),
          nn.ReLU(),
          nn.Conv2d(16, 32, 4, stride=2),
          nn.ReLU(),
          nn.Flatten(),
          nn.Linear(2592, 256),
          nn.ReLU(),
          pfrl.nn.Branched(
              nn.Sequential(
                  nn.Linear(256, n_actions),
                  SoftmaxCategoricalHead(),
              ),
              nn.Linear(256, 1),
          ),
      )
      from pfrl.optimizers import SharedRMSpropEpsInsideSqrt
  
      opt = SharedRMSpropEpsInsideSqrt(
          a3c_model.parameters(), lr=7e-4, eps=1e-1, alpha=0.99
      )
      agent = agents.A3C(
          a3c_model,
          opt,
          t_max=5,
          gamma=0.99,
          beta=1e-2,
          phi=lambda x: x,
      )
      downloaded_model, exists = download_model(
          "A3C",
          "BreakoutNoFrameskip-v4",
          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 TestLoadA3C obj's underlying member method code with example usage: obj.test_load_a3c() without return types