code: def _fix_old_layernorm(transformer_params):
      """Fix layer norm numbering of old checkpoints."""
      if (
          "resblocks.0" in transformer_params
          and "ln_0" in transformer_params["resblocks.0"]
      ):
          # This checkpoint has the new format.
          return transformer_params
  
      fixed_params = copy.deepcopy(transformer_params)
      for resblock in fixed_params.values():
          resblock["ln_0"] = resblock.pop("ln_1")
          resblock["ln_1"] = resblock.pop("ln_2")
  
      return fixed_params
  
imports: import copy
  from typing import Any, Dict, List, Mapping, Optional
  import flax.linen
  from flax.training import checkpoints
  import jax
  import jax.numpy
  import ml_collections
  from scenic.projects.owl_vit import layers
  from scenic.projects.owl_vit import matching_base_models
  from scenic.projects.owl_vit import utils
  from scenic.projects.owl_vit.clip import model
  from scenic.projects.owl_vit.clip import tokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: _fix_old_layernorm(transformer_params) and returns: fixed_params, transformer_params