code: def get_model(cond_input_op):
      train_pl = tf.placeholder_with_default(
          False, shape=(), name="train_pl"
      )
      y = mnist_model.model(cond_input_op, train_pl)
      return y, train_pl
  
file_path: attributionpriors/attributionpriors/mnist/mnist_train.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import numpy
  import tensorflow.contrib.slim
  import datetime
  import mnist_model
  import mnist_reader
  from attributionpriors.ops import AttributionPriorExplainer
label_desc: Use image node_id 3 for calling a global function with example usage: get_model(cond_input_op) and returns: y,  train_pl