code: def test_dist(self):
      model = GaussianGRUModel(output_dim=1, hidden_dim=1)
      step_hidden_var = tf.compat.v1.placeholder(
          shape=(self.batch_size, 1),
          name="step_hidden",
          dtype=tf.float32,
      )
      dist = model.build(
          self.input_var, self.step_input_var, step_hidden_var
      ).dist
      assert isinstance(dist, tfp.distributions.MultivariateNormalDiag)
  
file_path: garage/tests/garage/tf/models/test_gaussian_gru_model.py
imports: import pickle
  from unittest import mock
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from garage.tf.models import GaussianGRUModel
  from tests.fixtures import TfGraphTestCase
  from tests.helpers import recurrent_step_gru
label_desc: Use image node_id 2 for calling the TestGaussianGRUModel obj's underlying member method code with example usage: obj.test_dist() without return types