code: def load_gpt2(
      sess,
      checkpoint="latest",
      run_name="run1",
      checkpoint_dir="checkpoint",
      model_name=None,
      model_dir="models",
      multi_gpu=False,
      reuse=False,
  ):
      """Loads the model checkpoint or existing model into a TensorFlow session
      for repeated predictions.
      """
  
      if model_name:
          checkpoint_path = os.path.join(model_dir, model_name)
      else:
          checkpoint_path = os.path.join(checkpoint_dir, run_name)
  
      hparams = model.default_hparams()
      with open(os.path.join(checkpoint_path, "hparams.json")) as f:
          hparams.override_from_dict(json.load(f))
  
      context = tf.compat.v1.placeholder(tf.int32, [1, None])
  
      gpus = []
      if multi_gpu:
          gpus = get_available_gpus()
  
      output = model.model(
          hparams=hparams, X=context, gpus=gpus, reuse=reuse
      )
  
      if checkpoint == "latest":
          ckpt = tf.train.latest_checkpoint(checkpoint_path)
      else:
          ckpt = os.path.join(checkpoint_path, checkpoint)
  
      saver = tf.compat.v1.train.Saver(allow_empty=True)
      sess.run(tf.compat.v1.global_variables_initializer())
  
      if model_name:
          print("Loading pretrained model", ckpt)
      else:
          print("Loading checkpoint", ckpt)
      saver.restore(sess, ckpt)
  
imports: import tarfile
  import os
  import json
  import requests
  import sys
  import shutil
  import re
  from tqdm import tqdm, trange
  import numpy
  import tensorflow
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import device_lib
  import time
  from datetime import datetime
  import csv
  import argparse
  from sys import exit
  import codecs
  from gpt_2_simple.src import model, sample, encoder, memory_saving_gradients
  from gpt_2_simple.src.load_dataset import load_dataset, Sampler
  from gpt_2_simple.src.accumulate import AccumulatingOptimizer
label_desc: Use image node_id 7 for calling a global function with example usage: load_gpt2(sess, checkpoint, run_name, checkpoint_dir, model_name, model_dir, multi_gpu, reuse) without return types