code: def cls_token(idx):
      """
      Function helps in renaming cls_token weights
      """
      token = []
      token.append(
          (f"cvt.encoder.stages.{idx}.cls_token", "stage2.cls_token")
      )
      return token
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/cvt/convert_cvt_original_pytorch_checkpoint_to_pytorch.py
imports: import argparse
  import json
  from collections import OrderedDict
  import torch
  from huggingface_hub import cached_download, hf_hub_url
  from transformers import AutoFeatureExtractor, CvtConfig, CvtForImageClassification
label_desc: Use image node_id 3 for calling a global function with example usage: cls_token(idx) and returns: token