code: def test_works_with_dynamic_num_steps(self):
      num_steps_ = 23
      num_steps = tf1.placeholder_with_default(num_steps_, shape=[])
  
      final_x, losses = self.evaluate(
          minimize_stateless(
              loss_fn=lambda x: (x - 2.0) ** 2,
              init=tf.constant([5.0, 3.0]),
              num_steps=num_steps,
              optimizer=StatelessSGD(0.1),
          )
      )
      self.assertAllEqual(final_x.shape, [2])
      self.assertAllEqual(losses.shape, [num_steps_, 2])
  
imports: import collections
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python import optimizer
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math.minimize import minimize
  from tensorflow_probability.python.math.minimize import minimize_stateless
label_desc: Use image node_id 9 for calling the MinimizeStatelessTests obj's underlying member method code with example usage: obj.test_works_with_dynamic_num_steps() without return types