code: def adjust_prediction(self, pred_t):
      # Each pred outputs 16, 1008 matrix. The prediction value is the first row.
      # Following tfzoo convention.
      return pred_t[::16]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from abc import ABCMeta
  from abc import abstractmethod
  from six.moves import zip
  import numpy
  import six
  import tensorflow
  from google.protobuf import text_format
label_desc: Use image node_id 2 for calling the GoogleNetWrapper_public obj's underlying member method code with example usage: obj.adjust_prediction(pred_t) and returns: pred_t