code: def test_float16_inference(self):
      super().test_float16_inference(expected_max_diff=1e-1)
  
imports: import gc
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import AutoTokenizer, T5EncoderModel
  from diffusers import AutoPipelineForImage2Image, AutoPipelineForText2Image, Kandinsky3Pipeline, Kandinsky3UNet, VQModel
  from diffusers.image_processor import VaeImageProcessor
  from diffusers.schedulers.scheduling_ddpm import DDPMScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, load_image, require_torch_gpu, slow
  from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 6 for calling the Kandinsky3PipelineFastTests obj's underlying member method code with example usage: obj.test_float16_inference() without return types