code: def test_broadcasts_correctly(self, method):
      df = deep_factorized.DeepFactorized(batch_shape=(2, 3))
      x = tf.reshape(tf.linspace(-5.0, 5.0, 20), (4, 5, 1, 1))
      val = getattr(df, method)(x)
      self.assertEqual(val.shape, (4, 5, 2, 3))
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import helpers
label_desc: Use image node_id 5 for calling the DeepFactorizedTest obj's underlying member method code with example usage: obj.test_broadcasts_correctly(method) without return types