code: def test_save_load(self):
      state_dim = 8
      action_dim = 4
      q_network = FullyConnectedDQN(
          state_dim,
          action_dim,
          sizes=[8, 4],
          activations=["relu", "relu"],
      )
      imitator_network = FullyConnectedNetwork(
          layers=[state_dim, 8, 4, action_dim],
          activations=["relu", "relu", "linear"],
      )
      model = BatchConstrainedDQN(
          state_dim=state_dim,
          q_network=q_network,
          imitator_network=imitator_network,
          bcq_drop_threshold=0.05,
      )
      self.check_save_load(model)
  
imports: import logging
  import unittest
  import numpy.testing
  import torch
  import torch.nn
  import torch.nn.init
  from reagent.core import types
  from reagent.models.bcq import BatchConstrainedDQN
  from reagent.models.dqn import FullyConnectedDQN
  from reagent.models.fully_connected_network import FullyConnectedNetwork
  from reagent.test.models.test_utils import run_model_jit_trace
label_desc: Use image node_id 3 for calling the TestBCQ obj's underlying member method code with example usage: obj.test_save_load() without return types