code: def cmd_generate(
      nfiles,
      nsamples,
      folder,
      length,
      temperature,
      batch_size,
      prefix,
      truncate,
      include_prefix,
      sample_delim,
      run_name,
      checkpoint_dir,
      top_k,
      top_p,
      multi_gpu,
  ):
      """Wrapper script for generating text via the CLI.
      The files are generated into a folder, which can be downloaded
      recursively by downloading the entire folder.
      """
  
      sess = start_tf_sess()
      load_gpt2(
          sess,
          run_name=run_name,
          checkpoint_dir=checkpoint_dir,
          multi_gpu=multi_gpu,
      )
  
      try:
          os.mkdir(folder)
      except:
          shutil.rmtree(folder)
          os.mkdir(folder)
  
      for _ in trange(nfiles):
          gen_file = os.path.join(
              folder,
              "gpt2_gentext_{:%Y%m%d_%H%M%S}.txt".format(
                  datetime.utcnow()
              ),
          )
  
          generate_to_file(
              sess,
              run_name=run_name,
              checkpoint_dir=checkpoint_dir,
              destination_path=gen_file,
              length=length,
              temperature=temperature,
              nsamples=nsamples,
              batch_size=batch_size,
              prefix=prefix,
              truncate=truncate,
              include_prefix=include_prefix,
              sample_delim=sample_delim,
              top_k=top_k,
              top_p=top_p,
          )
  
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 22 for calling a global function with example usage: cmd_generate(nfiles, nsamples, folder, length, temperature, batch_size, prefix, truncate, include_prefix, sample_delim, run_name, checkpoint_dir, top_k, top_p, multi_gpu) without return types