code: def test_dynamic_shape(self):
      batch_and_event_shape = tf1.placeholder_with_default(
          [4, 3, 2], shape=None
      )
      init_fn, apply_fn = trainable.make_trainable_stateless(
          normal.Normal,
          batch_and_event_shape=batch_and_event_shape,
          validate_args=True,
      )
      distribution = apply_fn(init_fn(seed=test_util.test_seed()))
      x = self.evaluate(distribution.sample(seed=test_util.test_seed()))
      self.assertAllEqual(x.shape, batch_and_event_shape)
  
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 8 for calling the TestStatelessTrainableDistributionsAndBijectors obj's underlying member method code with example usage: obj.test_dynamic_shape() without return types