import tensorflow as tf

  fname = os.path.join(tf.resource_loader.get_data_files_path(),
                       'samples/configs/' + model_name + '.config')
  label_map_path = os.path.join(tf.resource_loader.get_data_files_path(),
                                'data/pet_label_map.pbtxt')
  data_path = os.path.join(tf.resource_loader.get_data_files_path(),
                           'test_data/pets_examples.record')
  configs = config_util.get_configs_from_pipeline_file(fname)
  override_dict = {
