code: def testGreedyTPUSlowVsFast(self):
      decode_length = 3
  
      model, features = self._create_greedy_infer_model()
  
      with tf.variable_scope(tf.get_variable_scope(), reuse=True):
          slow_result = model._slow_greedy_infer_tpu(
              features, decode_length
          )["outputs"]
          slow_result = tf.squeeze(slow_result, axis=[2, 3])
  
          fast_result = model._greedy_infer(
              features, decode_length, use_tpu=True
          )["outputs"]
  
      with self.test_session():
          slow_res = slow_result.eval()
          fast_res = fast_result.eval()
  
      self.assertEqual(
          fast_res.shape, (BATCH_SIZE, INPUT_LENGTH + decode_length)
      )
      self.assertAllClose(fast_res, slow_res)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import librispeech
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.models import transformer
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 16 for calling the TransformerTest obj's underlying member method code with example usage: obj.testGreedyTPUSlowVsFast() without return types