code: def unet_attributes(model):
      invalidInputError(
          model is not None,
          errMsg="Please load model before saving attributes...",
      )
  
      invalidInputError(
          isinstance(model, torch.nn.Module),
          errMsg="model should be a torch.nn.Module.",
      )
      unet_attributes = {}
      for attr in dir(model):
          # if not attr.startswith('_') and not isinstance(getattr(model, attr), torch.nn.Module):
          if attr in ["config", "in_channels"]:
              unet_attributes[attr] = getattr(model, attr)
      unet_attributes["conv_in_in_channels"] = model.conv_in.in_channels
      return unet_attributes
  
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 8 for calling a global function with example usage: unet_attributes(model) and returns: unet_attributes