code: def tensorflow_simple_sequential(
      device: Optional[str] = None,
      preprocessing: fbn.types.Preprocessing = None,
  ) -> ModelAndData:
      import tensorflow as tf
  
      with tf.device(device):
          model = tf.keras.Sequential()
          model.add(tf.keras.layers.GlobalAveragePooling2D())
      bounds = (0, 1)
      fmodel = fbn.TensorFlowModel(
          model,
          bounds=bounds,
          device=device,
          preprocessing=preprocessing,
      )
  
      x, _ = fbn.samples(fmodel, dataset="cifar10", batchsize=8)
      x = ep.astensor(x)
      y = fmodel(x).argmax(axis=-1)
      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 13 for calling a global function with example usage: tensorflow_simple_sequential(device, preprocessing) and returns: fmodel,  x,  y