code: def test_float16_inference(self):
      super().test_float16_inference(expected_max_diff=2e-1)
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from diffusers import DDIMScheduler, KandinskyV22Img2ImgPipeline, KandinskyV22PriorPipeline, UNet2DConditionModel, VQModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, require_torch_gpu, slow, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 4 for calling the KandinskyV22Img2ImgPipelineFastTests obj's underlying member method code with example usage: obj.test_float16_inference() without return types