code: def postprocess(self, y):
      return [
          ""
          if self.stream
          else self.tokenizer.decode(y.tolist()[self.prompt_length :])
      ]
  
file_path: serve/examples/large_models/gpt_fast/handler.py
imports: import json
  import logging
  import time
  from pathlib import Path
  import torch
  from generate import Transformer, _load_model, decode_one_token, encode_tokens, logits_to_probs, maybe_init_dist, model_forward, multinomial_sample_one_no_sync, prefill
  from sentencepiece import SentencePieceProcessor
  from ts.handler_utils.timer import timed
  from ts.handler_utils.utils import send_intermediate_predict_response
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 5 for calling the GptHandler obj's underlying member method code with example usage: obj.postprocess(y) and returns: list