code: def copy_layer(hf_layer, pt_layer):
      # copy layer norms
      copy_linear(hf_layer.layer_norm1, pt_layer.ln_1)
      copy_linear(hf_layer.layer_norm2, pt_layer.ln_2)
  
      # copy MLP
      copy_mlp(hf_layer.mlp, pt_layer.mlp)
  
      # copy attn
      copy_attn_layer(hf_layer.self_attn, pt_layer.attn)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py
imports: import argparse
  import torch
  from clip import load
  from transformers import CLIPConfig, CLIPModel
label_desc: Use image node_id 4 for calling a global function with example usage: copy_layer(hf_layer, pt_layer) without return types