code: def testServingInputFnUseTpu(self):
      problem = problem_module.Problem()
      max_length = 128
      batch_size = 10
      hparams = hparam.HParams(
          max_length=max_length,
          max_input_seq_length=max_length,
          max_target_seq_length=max_length,
          prepend_mode="none",
          split_to_length=0,
      )
      decode_hparams = hparam.HParams(batch_size=batch_size)
      serving_input_receiver = problem.serving_input_fn(
          hparams=hparams, decode_hparams=decode_hparams, use_tpu=True
      )
      serving_input_fn_input = getattr(
          serving_input_receiver, "receiver_tensors"
      )["input"]
      serving_input_fn_output = getattr(
          serving_input_receiver, "features"
      )["inputs"]
      example_1 = tf.train.Example(
          features=tf.train.Features(
              feature={
                  "inputs": tf.train.Feature(
                      int64_list=tf.train.Int64List(value=[0])
                  )
              }
          )
      )
      example_2 = tf.train.Example(
          features=tf.train.Features(
              feature={
                  "inputs": tf.train.Feature(
                      int64_list=tf.train.Int64List(value=[1])
                  )
              }
          )
      )
      serialized_examples = [
          example_1.SerializeToString(),
          example_2.SerializeToString(),
      ]
      with self.test_session() as sess:
          output_shape = sess.run(
              tf.shape(serving_input_fn_output),
              feed_dict={serving_input_fn_input: serialized_examples},
          )
          self.assertEqual(output_shape[0], batch_size)
          self.assertEqual(output_shape[1], max_length)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.data_generators import algorithmic
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import test_utils
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 8 for calling the ProblemTest obj's underlying member method code with example usage: obj.testServingInputFnUseTpu() without return types