code: def aligned_8k_grouped():
      """version for languagemodel_wiki_scramble8k50.
  
      languagemodel_wiki_scramble1k50, 1gpu, 7k steps: log(ppl)_eval = 2.92
      3.3 steps/sec on P100
      8gpu (8x batch), 7k steps: log(ppl)_eval = 2.15
  
      Returns:
        a hparams object
      """
      hparams = aligned_grouped()
      hparams.batch_size = 8192
      # hparams.attention_image_summary = False
      hparams.num_groups = 16
      hparams.multiplicative_overhead = 1.1
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  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 18 for calling a global function with example usage: aligned_8k_grouped() and returns: hparams