code: def main(unused_argv):
      tf.logging.set_verbosity(tf.logging.ERROR)
      if FLAGS.runmode == "examples":
          # Run inference for an example image.
          eval_example_images(
              FLAGS.model_name,
              FLAGS.ckpt_dir,
              [FLAGS.example_img],
              FLAGS.labels_map_file,
          )
      elif FLAGS.runmode == "imagenet":
          # Run inference for imagenet.
          eval_imagenet(
              FLAGS.model_name,
              FLAGS.ckpt_dir,
              FLAGS.imagenet_eval_glob,
              FLAGS.imagenet_eval_label,
              FLAGS.num_images,
          )
      else:
          print("must specify runmode: examples or imagenet")
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import json
  import sys
  from absl import app
  from absl import flags
  import numpy
  import tensorflow
  import efficientnet_builder
  import preprocessing
label_desc: Use image node_id 3 for calling a global function with example usage: main(unused_argv) without return types