code: def test_exp_max_std(self, output_dim, hidden_sizes):
      model = GaussianMLPModel(
          output_dim=output_dim,
          hidden_sizes=hidden_sizes,
          std_share_network=False,
          init_std=10,
          max_std=1,
          std_parameterization="exp",
      )
      dist = model.build(self.input_var).dist
  
      log_std = self.sess.run(
          tf.math.log(dist.stddev()),
          feed_dict={self.input_var: self.obs},
      )
  
      expected_log_std = np.full([1, 1, output_dim], np.log(1))
      assert np.allclose(log_std, expected_log_std)
  
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from garage.tf.models import GaussianMLPModel
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 14 for calling the TestGaussianMLPModel obj's underlying member method code with example usage: obj.test_exp_max_std(output_dim, hidden_sizes) without return types