code: def tensorflow_mobilenetv3(request: Any) -> ModelAndData:
      if request.config.option.skipslow:
          pytest.skip()
  
      import tensorflow as tf
  
      model = tf.keras.applications.MobileNetV3Small(
          weights="imagenet", minimalistic=True
      )
      fmodel = fbn.TensorFlowModel(
          model,
          bounds=(0, 255),
          preprocessing=None,
      )
  
      x, y = fbn.samples(fmodel, dataset="imagenet", batchsize=8)
      x = ep.astensor(x)
      y = ep.astensor(y)
      return fmodel, x, y
  
imports: from typing import Optional, Callable, Tuple, Dict, Any, List, NamedTuple
  import functools
  import pytest
  import eagerpy
  import foolbox
  import foolbox
label_desc: Use image node_id 19 for calling a global function with example usage: tensorflow_mobilenetv3(request) and returns: fmodel,  x,  y