code: def test_can_specify_parameter_dtype(self):
      distribution = trainable.make_trainable(
          normal.Normal,
          initial_parameters={"loc": 17.0},
          parameter_dtype=tf.float64,
          seed=test_util.test_seed(sampler_type="stateless"),
          validate_args=True,
      )
      self.evaluate(
          [v.initializer for v in distribution.trainable_variables]
      )
      self.assertEqual(distribution.loc.dtype, tf.float64)
      self.assertEqual(distribution.scale.dtype, tf.float64)
      self.assertEqual(distribution.sample().dtype, tf.float64)
  
imports: from absl.testing import parameterized
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import fill_scale_tril
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_tril
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import geometric
  from tensorflow_probability.python.distributions import kumaraswamy
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.distributions import wishart
  from tensorflow_probability.python.experimental.util import trainable
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.minimize import minimize
  from tensorflow_probability.python.math.minimize import minimize_stateless
label_desc: Use image node_id 6 for calling the TestStatefulMakeTrainable obj's underlying member method code with example usage: obj.test_can_specify_parameter_dtype() without return types