code: def rename_key(name):
      if "downsample_layers.0.0" in name:
          name = name.replace(
              "downsample_layers.0.0", "embeddings.patch_embeddings"
          )
      if "downsample_layers.0.1" in name:
          name = name.replace(
              "downsample_layers.0.1", "embeddings.norm"
          )  # we rename to layernorm later on
      if "downsample_layers.1.0" in name:
          name = name.replace(
              "downsample_layers.1.0", "stages.1.downsampling_layer.0"
          )
      if "downsample_layers.1.1" in name:
          name = name.replace(
              "downsample_layers.1.1", "stages.1.downsampling_layer.1"
          )
      if "downsample_layers.2.0" in name:
          name = name.replace(
              "downsample_layers.2.0", "stages.2.downsampling_layer.0"
          )
      if "downsample_layers.2.1" in name:
          name = name.replace(
              "downsample_layers.2.1", "stages.2.downsampling_layer.1"
          )
      if "downsample_layers.3.0" in name:
          name = name.replace(
              "downsample_layers.3.0", "stages.3.downsampling_layer.0"
          )
      if "downsample_layers.3.1" in name:
          name = name.replace(
              "downsample_layers.3.1", "stages.3.downsampling_layer.1"
          )
      if "stages" in name and "downsampling_layer" not in name:
          # stages.0.0. for instance should be renamed to stages.0.layers.0.
          name = (
              name[: len("stages.0")]
              + ".layers"
              + name[len("stages.0") :]
          )
      if "stages" in name:
          name = name.replace("stages", "encoder.stages")
      if "norm" in name:
          name = name.replace("norm", "layernorm")
      if "gamma" in name:
          name = name.replace("gamma", "layer_scale_parameter")
      if "head" in name:
          name = name.replace("head", "classifier")
  
      return name
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/convnext/convert_convnext_to_pytorch.py
imports: import argparse
  import json
  from pathlib import Path
  import torch
  from PIL import Image
  import requests
  from huggingface_hub import hf_hub_download
  from transformers import ConvNextConfig, ConvNextFeatureExtractor, ConvNextForImageClassification
  from transformers.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: rename_key(name) and returns: name