code: def test_preprocess_input_mask_3d(self):
      image_processor = VaeImageProcessor(
          do_resize=False,
          do_normalize=False,
          do_binarize=True,
          do_convert_grayscale=True,
      )
  
      input_pt_4d = self.dummy_mask
      input_pt_3d = input_pt_4d.squeeze(0)
      input_pt_2d = input_pt_3d.squeeze(0)
  
      out_pt_4d = image_processor.postprocess(
          image_processor.preprocess(input_pt_4d),
          output_type="np",
      )
      out_pt_3d = image_processor.postprocess(
          image_processor.preprocess(input_pt_3d),
          output_type="np",
      )
  
      out_pt_2d = image_processor.postprocess(
          image_processor.preprocess(input_pt_2d),
          output_type="np",
      )
  
      input_np_4d = self.to_np(self.dummy_mask)
      input_np_3d = input_np_4d.squeeze(0)
      input_np_3d_1 = input_np_4d.squeeze(-1)
      input_np_2d = input_np_3d.squeeze(-1)
  
      out_np_4d = image_processor.postprocess(
          image_processor.preprocess(input_np_4d),
          output_type="np",
      )
      out_np_3d = image_processor.postprocess(
          image_processor.preprocess(input_np_3d),
          output_type="np",
      )
  
      out_np_3d_1 = image_processor.postprocess(
          image_processor.preprocess(input_np_3d_1),
          output_type="np",
      )
  
      out_np_2d = image_processor.postprocess(
          image_processor.preprocess(input_np_2d),
          output_type="np",
      )
  
      assert np.abs(out_pt_4d - out_pt_3d).max() == 0
      assert np.abs(out_pt_4d - out_pt_2d).max() == 0
      assert np.abs(out_np_4d - out_np_3d).max() == 0
      assert np.abs(out_np_4d - out_np_3d_1).max() == 0
      assert np.abs(out_np_4d - out_np_2d).max() == 0
  
imports: import unittest
  import numpy
  import PIL.Image
  import torch
  from diffusers.image_processor import VaeImageProcessor
label_desc: Use image node_id 9 for calling the ImageProcessorTest obj's underlying member method code with example usage: obj.test_preprocess_input_mask_3d() without return types