code: def test_jit_compiled_optimization_makes_progress(self):
      _, losses = self.evaluate(
          minimize_stateless(
              loss_fn=lambda x: tf.reduce_sum((x - 2.0) ** 2),
              init=tf.constant([5.0, 3.0]),
              num_steps=10,
              optimizer=StatelessSGD(0.1),
              jit_compile=True,
          )
      )
      # Final loss should be lower than initial loss.
      self.assertAllGreater(losses[0], losses[-1])
  
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 11 for calling the MinimizeStatelessTests obj's underlying member method code with example usage: obj.test_jit_compiled_optimization_makes_progress() without return types