code: def load_imagenet_images(self, preprocess_input=None):
      with open(
          os.path.join(directory, "n02109961_36_enc.pkl"), "rb"
      ) as ff:
          images = np.array(pickle.load(ff))
      if preprocess_input is not None:
          images = preprocess_input(images)
      images = tf.convert_to_tensor(images)
      return images
  
file_path: tf-encrypted/examples/benchmark/inference/convert.py
imports: import argparse
  import os
  import unittest
  import _pickle
  import numpy
  import tensorflow
  import tf_encrypted
  from tf_encrypted.convert import convert
  from tf_encrypted.performance import Performance
  from tf_encrypted.protocol import ABY3
  from tf_encrypted.protocol import Pond
  from tf_encrypted.protocol import SecureNN
  from tf_encrypted.utils import print_banner
label_desc: Use image node_id 1 for calling the TestConvertInference obj's underlying member method code with example usage: obj.load_imagenet_images(preprocess_input) and returns: images