code: def test_small_model_tf(self):
      pass
  
imports: import hashlib
  import unittest
  from typing import Dict
  import datasets
  import numpy
  from datasets import load_dataset
  from transformers import MODEL_FOR_IMAGE_SEGMENTATION_MAPPING, MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING, MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING, AutoFeatureExtractor, AutoModelForImageSegmentation, AutoModelForInstanceSegmentation, DetrForSegmentation, ImageSegmentationPipeline, MaskFormerForInstanceSegmentation, is_vision_available, pipeline
  from transformers.testing_utils import nested_simplify, require_tf, require_timm, require_torch, require_vision, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 3 for calling the ImageSegmentationPipelineTests obj's underlying member method code with example usage: obj.test_small_model_tf() without return types