code: def vqa_recurrent_self_attention_l8():
      hparams = vqa_recurrent_self_attention_base()
      hparams.num_rec_steps = 8
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import vqa_layers
  from tensor2tensor.models.research import universal_transformer
  from tensor2tensor.models.research import universal_transformer_util
  from tensor2tensor.models.research import vqa_attention
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  from tensorflow.contrib.layers.python.layers import utils
label_desc: Use image node_id 9 for calling a global function with example usage: vqa_recurrent_self_attention_l8() and returns: hparams