code: def attention_lm_moe_unscramble_base():
      """Version to use with languagemodel_wiki_scramble1k50."""
      hparams = attention_lm_no_moe_small()
      hparams.use_inputs = True
      hparams.min_length_bucket = 1024
      hparams.max_length = 1024
      hparams.batch_size = 5000
      hparams.layer_prepostprocess_dropout = 0.0
      hparams.layer_preprocess_sequence = "n"
      hparams.layer_postprocess_sequence = "da"
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import expert_utils
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 27 for calling a global function with example usage: attention_lm_moe_unscramble_base() and returns: hparams