code: def get_dummy_unet_additional_residuals():
      down_block_additional_residuals = []
      down_block_additional_residuals.extend(
          [torch.zeros(2, 320, 64, 64)] * 3
      )
      down_block_additional_residuals.extend(
          [torch.zeros(2, 320, 32, 32)]
      )
      down_block_additional_residuals.extend(
          [torch.zeros(2, 640, 32, 32)] * 2
      )
      down_block_additional_residuals.extend(
          [torch.zeros(2, 640, 16, 16)]
      )
      down_block_additional_residuals.extend(
          [torch.zeros(2, 1280, 16, 16)] * 2
      )
      down_block_additional_residuals.extend(
          [torch.zeros(2, 1280, 8, 8)] * 3
      )
      mid_block_additional_residual = torch.zeros(2, 1280, 8, 8)
      return (
          down_block_additional_residuals,
          mid_block_additional_residual,
      )
  
imports: import os
  import time
  import torch
  import shutil
  from collections import OrderedDict
  from diffusers.models import ControlNetModel
  from huggingface_hub import snapshot_download
  from ..common.load import *
  from ..utils.paths import *
  from bigdl.nano.pytorch import InferenceOptimizer
  from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 9 for calling a global function with example usage: get_dummy_unet_additional_residuals() and returns: down_block_additional_residuals,  mid_block_additional_residual