code: def prepare_transfoxl_input(args, _, tokenizer, prompt_text):
      prefix = (
          args.prefix
          if args.prefix
          else args.padding_text
          if args.padding_text
          else PREFIX
      )
      prompt_text = prefix + prompt_text
      return prompt_text
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/pytorch/text-generation/run_generation.py
imports: import argparse
  import logging
  import numpy
  import torch
  from transformers import CTRLLMHeadModel, CTRLTokenizer, GPT2LMHeadModel, GPT2Tokenizer, OpenAIGPTLMHeadModel, OpenAIGPTTokenizer, TransfoXLLMHeadModel, TransfoXLTokenizer, XLMTokenizer, XLMWithLMHeadModel, XLNetLMHeadModel, XLNetTokenizer
label_desc: Use image node_id 5 for calling a global function with example usage: prepare_transfoxl_input(args, _, tokenizer, prompt_text) and returns: prompt_text