code: def test_get_log_prob(self):
      torch.manual_seed(0)
      state_dim = 8
      action_dim = 4
      model = GaussianFullyConnectedActor(
          state_dim,
          action_dim,
          sizes=[7, 6],
          activations=["relu", "relu"],
          use_batch_norm=False,
      )
      input = model.input_prototype()
      self.assertEqual((1, state_dim), input.float_features.shape)
      action = model(input)
      squashed_action = action.action.detach()
      action_log_prob = model.get_log_prob(
          input, squashed_action
      ).detach()
      npt.assert_allclose(
          action.log_prob.detach(), action_log_prob, rtol=1e-4
      )
  
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 4 for calling the TestGaussianFullyConnectedActor obj's underlying member method code with example usage: obj.test_get_log_prob() without return types