code: def mqp_ende_base():
      # params=211M
      hparams = mtf_transformer2.mtr_tr_dense_0()
      hparams.learning_rate_decay_steps = 20000
      hparams.shared_embedding_and_softmax_weights = True
      hparams.layer_prepostprocess_dropout = 0.2
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import mtf_transformer2
  from tensor2tensor.utils import registry
label_desc: Use image node_id 1 for calling a global function with example usage: mqp_ende_base() and returns: hparams