code: def rename_key(name):
      if "cls_token" in name:
          name = name.replace("cls_token", "vit.embeddings.cls_token")
      if "mask_token" in name:
          name = name.replace("mask_token", "decoder.mask_token")
      if "decoder_pos_embed" in name:
          name = name.replace(
              "decoder_pos_embed", "decoder.decoder_pos_embed"
          )
      if "pos_embed" in name and "decoder" not in name:
          name = name.replace(
              "pos_embed", "vit.embeddings.position_embeddings"
          )
      if "patch_embed.proj" in name:
          name = name.replace(
              "patch_embed.proj",
              "vit.embeddings.patch_embeddings.projection",
          )
      if "patch_embed.norm" in name:
          name = name.replace("patch_embed.norm", "vit.embeddings.norm")
      if "decoder_blocks" in name:
          name = name.replace(
              "decoder_blocks", "decoder.decoder_layers"
          )
      if "blocks" in name:
          name = name.replace("blocks", "vit.encoder.layer")
      if "attn.proj" in name:
          name = name.replace("attn.proj", "attention.output.dense")
      if "attn" in name:
          name = name.replace("attn", "attention.self")
      if "norm1" in name:
          name = name.replace("norm1", "layernorm_before")
      if "norm2" in name:
          name = name.replace("norm2", "layernorm_after")
      if "mlp.fc1" in name:
          name = name.replace("mlp.fc1", "intermediate.dense")
      if "mlp.fc2" in name:
          name = name.replace("mlp.fc2", "output.dense")
      if "decoder_embed" in name:
          name = name.replace("decoder_embed", "decoder.decoder_embed")
      if "decoder_norm" in name:
          name = name.replace("decoder_norm", "decoder.decoder_norm")
      if "decoder_pred" in name:
          name = name.replace("decoder_pred", "decoder.decoder_pred")
      if "norm.weight" in name and "decoder" not in name:
          name = name.replace("norm.weight", "vit.layernorm.weight")
      if "norm.bias" in name and "decoder" not in name:
          name = name.replace("norm.bias", "vit.layernorm.bias")
  
      return name
  
imports: import argparse
  import torch
  from PIL import Image
  import requests
  from transformers import ViTMAEConfig, ViTMAEFeatureExtractor, ViTMAEForPreTraining
label_desc: Use image node_id 1 for calling a global function with example usage: rename_key(name) and returns: name