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: deepspeedexamples/inference/huggingface/text-generation/run-generation-script/test-run-generation.py
imports: import argparse
  import logging
  import time
  import numpy
  import torch
  from transformers.models.gpt2.modeling_gpt2 import GPT2Block
  from transformers import CTRLLMHeadModel, CTRLTokenizer, GPT2LMHeadModel, GPT2Tokenizer, GPTNeoModel, 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