code: def preprocess():
      text = "This film is so good"
      tokens = tokenizer.encode(text, add_special_tokens=True)
      tokens = np.array(tokens)
      return tokens.reshape([1, -1]).astype(np.float32)
  
file_path: singa/examples/onnx/ro_bert_a/ro_bert_a.py
imports: import os
  import numpy
  from singa import device
  from singa import tensor
  from singa import sonnx
  from singa import autograd
  import onnx
  import sys
  from utils import download_model, check_exist_or_download
  import logging
  from transformers import RobertaTokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: preprocess() and returns: tokens