code: def test_dist(self):
      model = CategoricalLSTMModel(output_dim=1, hidden_dim=1)
      step_hidden_var = tf.compat.v1.placeholder(
          shape=(self.batch_size, 1),
          name="step_hidden",
          dtype=tf.float32,
      )
      step_cell_var = tf.compat.v1.placeholder(
          shape=(self.batch_size, 1), name="step_cell", dtype=tf.float32
      )
      dist = model.build(
          self._input_var,
          self._step_input_var,
          step_hidden_var,
          step_cell_var,
      ).dist
      assert isinstance(dist, tfp.distributions.OneHotCategorical)
  
file_path: garage/tests/garage/tf/models/test_categorical_lstm_model.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from garage.tf.models import CategoricalLSTMModel
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 2 for calling the TestCategoricalLSTMModel obj's underlying member method code with example usage: obj.test_dist() without return types