class_docstr: Simple wrapper of the for models with session object for TCAV.
  
  Supports easy inference with no need to deal with the feed_dicts.
class_docstr_tok: ["Simple","wrapper","of","the","for","models","with","session","object","for","TCAV",".","Supports","easy","inference","with","no","need","to","deal","with","the","feed_dicts","."]
docstr: Adjust the prediction tensor to be the expected shape.
  
  Defaults to a no-op, but necessary to override for GoogleNet
  Returns:
    pred_t: pred_tensor.
code: def adjust_prediction(self, pred_t):
      """Adjust the prediction tensor to be the expected shape.
  
      Defaults to a no-op, but necessary to override for GoogleNet
      Returns:
        pred_t: pred_tensor.
      """
      return pred_t
  
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 7 for calling the ModelWrapper obj's underlying member method code with example usage: obj.adjust_prediction(pred_t) and returns: pred_t