code: def leave_name_to_hf_layer_id(leaf_name: str):
      if not leaf_name.startswith("/params"):
          if leaf_name == "/step":
              return None
          else:
              raise NotImplementedError(
                  f"Unknown leaf name: {leaf_name}"
              )
  
      match = re.search(
          r"\/params\/causal_transformer_shard\/~\/(?P<module_name>.*)\/~\/(?P<layer_name>.*)\/(?P<wb>.*)",
          leaf_name,
      )
  
      assert match, f'couldn\'t match pattern against: "{leaf_name}"'
  
      layer_name = match["layer_name"]
      module_name = match["module_name"]
      wb = match["wb"]
  
      if wb in {"w", "scale"}:
          weight_or_bias = "weight"
      elif wb in {"b", "offset"}:
          weight_or_bias = "bias"
      else:
          raise NotImplementedError(
              f"unknown weight/bais type identifier \"{wb}\" at end of: '{leaf_name}'"
          )
  
      # switch statement based on top level module name
      if module_name == "embedding_shard":
          hf_id = f"transformer.wte.{weight_or_bias}"
  
      elif module_name.startswith("layer"):
          module_index = int(module_name.split("_")[-1])
          hf_inner_module_id = layer_2_hf_inner_module_id[layer_name]
          hf_id = f"transformer.h.{module_index}.{hf_inner_module_id}.{weight_or_bias}"
  
      elif module_name == "projection_shard":
          hf_id = f"{projection_layer_2_hf_id_start[layer_name]}.{weight_or_bias}"
  
      else:
          raise NotImplementedError(
              f"unknown leaf module type \"{module_name}\" in: '{leaf_name}'"
          )
  
      if DEBUG:
          print(f"{leaf_name} \n\t -> {hf_id}")
  
      return hf_id
  
imports: import argparse
  import io
  import multiprocessing
  import time
  import warnings
  import os
  import re
  from typing import Iterable, List, Union
  import json
  import jax
  import jax.numpy
  from jax.experimental import maps
  from pathy import FluidPath, Pathy
  import numpy
  import optax
  import torch
  from tqdm import tqdm
  from mesh_transformer.transformer_shard import CausalTransformer
label_desc: Use image node_id 5 for calling a global function with example usage: leave_name_to_hf_layer_id(leaf_name) and returns: hf_id, None