code: def dummy_extractor(self):
      def extract(*args, **kwargs):
          class Out:
              def __init__(self):
                  self.pixel_values = torch.ones([0])
  
              def to(self, device):
                  self.pixel_values.to(device)
                  return self
  
          return Out()
  
      return extract
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import AutoencoderKL, DDIMScheduler, DPMSolverMultistepScheduler, LMSDiscreteScheduler, PNDMScheduler, StableDiffusionInpaintPipelineLegacy, UNet2DConditionModel, UNet2DModel, VQModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, nightly, preprocess_image, require_torch_gpu, slow, torch_device
label_desc: Use image node_id 9 for calling the StableDiffusionInpaintLegacyPipelineFastTests obj's underlying member method code with example usage: obj.dummy_extractor() and returns: extract, Out, self