code: def generate_to_file(
      sess,
      run_name="run1",
      checkpoint_dir="checkpoint",
      model_name=None,
      model_dir="models",
      truncate=None,
      destination_path="gpt_2_gen_texts.txt",
      sample_delim="=" * 20 + "\n",
      prefix=None,
      seed=None,
      nsamples=1,
      batch_size=1,
      length=1023,
      temperature=0.7,
      top_k=0,
      top_p=0.0,
      include_prefix=True,
  ):
      """Generates the texts to a file.
  
      sample_delim separates texts: set to '' if each text is a small document.
  
      Adapted from https://github.com/minimaxir/textgenrnn/blob/master/textgenrnn/textgenrnn.py
      """
  
      generate(
          sess=sess,
          run_name=run_name,
          checkpoint_dir=checkpoint_dir,
          model_name=model_name,
          model_dir=model_dir,
          return_as_list=False,
          truncate=truncate,
          destination_path=destination_path,
          sample_delim=sample_delim,
          prefix=prefix,
          seed=seed,
          nsamples=nsamples,
          batch_size=batch_size,
          length=length,
          temperature=temperature,
          top_k=top_k,
          top_p=top_p,
          include_prefix=include_prefix,
      )
  
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 9 for calling a global function with example usage: generate_to_file(sess, run_name, checkpoint_dir, model_name, model_dir, truncate, destination_path, sample_delim, prefix, seed, nsamples, batch_size, length, temperature, top_k, top_p, include_prefix) without return types