code: def build_model(self, args):
      model = models.build_model(args, self)
      if not isinstance(model, SemiSupervisedModel):
          raise ValueError(
              "PytorchTranslateDenoisingAutoencoder task requires a "
              "SemiSupervisedModel architecture"
          )
      # TODO(T35539829): implement a Noising registry so this can be built
      # with any noising class as long as it has a @register_noising decorator
      self.source_noiser = noising.UnsupervisedMTNoising(
          dictionary=self.source_dictionary,
          max_word_shuffle_distance=args.max_word_shuffle_distance,
          word_dropout_prob=args.word_dropout_prob,
          word_blanking_prob=args.word_blanking_prob,
          bpe_cont_marker=self.args.source_bpe_cont_marker,
          bpe_end_marker=self.args.source_bpe_end_marker,
      )
      self.target_noiser = noising.UnsupervisedMTNoising(
          dictionary=self.target_dictionary,
          max_word_shuffle_distance=args.max_word_shuffle_distance,
          word_dropout_prob=args.word_dropout_prob,
          word_blanking_prob=args.word_blanking_prob,
          bpe_cont_marker=self.args.target_bpe_cont_marker,
          bpe_end_marker=self.args.target_bpe_end_marker,
      )
      return model
  
file_path: translate/pytorch_translate/tasks/denoising_autoencoder_task.py
imports: from collections import OrderedDict
  from fairseq import models
  from fairseq.data import noising, RoundRobinZipDatasets
  from fairseq.tasks import register_task
  from pytorch_translate import constants, utils
  from pytorch_translate.data import utils, weighted_data
  from pytorch_translate.semi_supervised import SemiSupervisedModel
  from pytorch_translate.tasks.pytorch_translate_task import PytorchTranslateTask
  from pytorch_translate.tasks.semi_supervised_task import PytorchTranslateSemiSupervised
label_desc: Use image node_id 4 for calling the PytorchTranslateDenoisingAutoencoder obj's underlying member method code with example usage: obj.build_model(args) and returns: model