code: def assign_to_checkpoint(
      paths,
      checkpoint,
      old_checkpoint,
      additional_replacements=None,
      config=None,
  ):
      """
      This does the final conversion step: take locally converted weights and apply a global renaming to them. It splits
      attention layers, and takes into account additional replacements that may arise.
  
      Assigns the weights to the new checkpoint.
      """
      assert isinstance(
          paths, list
      ), "Paths should be a list of dicts containing 'old' and 'new' keys."
  
      for path in paths:
          new_path = path["new"]
  
          # Global renaming happens here
          new_path = new_path.replace(
              "middle_block.0", "mid_block.resnets.0"
          )
          new_path = new_path.replace(
              "middle_block.1", "mid_block.attentions.0"
          )
          new_path = new_path.replace(
              "middle_block.2", "mid_block.resnets.1"
          )
  
          if additional_replacements is not None:
              for replacement in additional_replacements:
                  new_path = new_path.replace(
                      replacement["old"], replacement["new"]
                  )
  
          # proj_attn.weight has to be converted from conv 1D to linear
          if (
              "proj_attn.weight" in new_path
              or "to_out.0.weight" in new_path
          ):
              checkpoint[new_path] = old_checkpoint[path["old"]][
                  :, :, 0
              ]
          else:
              checkpoint[new_path] = old_checkpoint[path["old"]]
  
imports: import argparse
  import inspect
  import os
  import numpy
  import torch
  import yaml
  from torch.nn import functional
  from transformers import CLIPConfig, CLIPImageProcessor, CLIPVisionModelWithProjection, T5EncoderModel, T5Tokenizer
  from diffusers import DDPMScheduler, IFPipeline, IFSuperResolutionPipeline, UNet2DConditionModel
  from diffusers.pipelines.deepfloyd_if.safety_checker import IFSafetyChecker
label_desc: Use image node_id 13 for calling a global function with example usage: assign_to_checkpoint(paths, checkpoint, old_checkpoint, additional_replacements, config) without return types