code: def test_can_specify_fixed_values(self):
      distribution = trainable.make_trainable(
          wishart.WishartTriL,
          batch_and_event_shape=[2, 2],
          seed=test_util.test_seed(sampler_type="stateless"),
          validate_args=True,
          df=3,
      )
      self.evaluate(
          [v.initializer for v in distribution.trainable_variables]
      )
      self.assertAllClose(distribution.df, 3.0)
      self.assertLen(distribution.trainable_variables, 1)
      self.assertAllEqual(distribution.sample().shape, [2, 2])
  
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 7 for calling the TestStatefulMakeTrainable obj's underlying member method code with example usage: obj.test_can_specify_fixed_values() without return types