code: def val_data_creator(config):
      val_dataset = input_fn(
          is_training=False, data_dir=config["data_dir"]
      )
  
      return val_dataset
  
imports: import os
  import argparse
  from optparse import OptionParser
  from bigdl.dllib.nncontext import *
  from bigdl.dllib.feature.image import *
  from bigdl.dllib.keras.metrics import *
  from bigdl.dllib.nnframes import *
  from bigdl.dllib.utils.log4Error import invalidInputError
  from bigdl.orca import init_orca_context, stop_orca_context
  from bigdl.orca.learn.tf.estimator import Estimator
  from bigdl.orca.learn.trigger import EveryEpoch, SeveralIteration
  from bigdl.orca.data.image import write_tfrecord, read_tfrecord
  from inception_preprocessing import preprocess_for_train, preprocess_for_eval
  from tensorflow.contrib.slim.python.slim.nets import inception_v1
  import tensorflow
  from math import ceil
label_desc: Use image node_id 7 for calling a global function with example usage: val_data_creator(config) and returns: val_dataset