code: def test_attention_slicing_forward_pass(self):
      test_max_difference = torch_device == "cpu"
      test_mean_pixel_difference = False
  
      self._test_attention_slicing_forward_pass(
          test_max_difference=test_max_difference,
          test_mean_pixel_difference=test_mean_pixel_difference,
      )
  
imports: import inspect
  import unittest
  import numpy
  import torch
  from torch import nn
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import KandinskyV22PriorPipeline, PriorTransformer, UnCLIPScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 5 for calling the KandinskyV22PriorPipelineFastTests obj's underlying member method code with example usage: obj.test_attention_slicing_forward_pass() without return types