code: def test_save_load_batch_norm(self):
      state_dim = 8
      action_dim = 4
      model = GaussianFullyConnectedActor(
          state_dim,
          action_dim,
          sizes=[7, 6],
          activations=["relu", "relu"],
          use_batch_norm=True,
      )
      # Freezing batch_norm
      model.eval()
      self.check_save_load(model, stochastic=True)
  
imports: import logging
  import unittest
  from typing import Union
  import numpy.testing
  import torch
  import torch.nn
  from reagent.core import types
  from reagent.models.actor import DirichletFullyConnectedActor, FullyConnectedActor, GaussianFullyConnectedActor
  from reagent.test.models.test_utils import run_model_jit_trace
label_desc: Use image node_id 3 for calling the TestGaussianFullyConnectedActor obj's underlying member method code with example usage: obj.test_save_load_batch_norm() without return types