code: def vqa_attention_feature_nonormalization():
      hparams = vqa_attention_feature_base()
      hparams.layer_preprocess_sequence = ""
      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.layers import vqa_layers
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  from tensorflow.contrib import rnn
  from tensorflow.contrib.layers.python.layers import utils
  from tensorflow.contrib.slim.python.slim.nets.resnet_v1 import resnet_v1_152
  from tensorflow.contrib.slim.python.slim.nets.resnet_v2 import resnet_v2_152
label_desc: Use image node_id 30 for calling a global function with example usage: vqa_attention_feature_nonormalization() and returns: hparams