class_docstr: Transformer that predicts blocks of the output in parallel.
code: def _greedy_infer(self, features, decode_length, use_tpu=False):
      assert not use_tpu
      return self._slow_greedy_infer_guess_and_check(
          features, decode_length
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 4 for calling the TransformerBlockParallel obj's underlying member method code with example usage: obj._greedy_infer(features, decode_length, use_tpu) and returns: self