code: def __init__(self, outputs, **kwargs):
      super().__init__(
          inputs=input_module.ImageInput(), outputs=outputs, **kwargs
      )
  
imports: from pathlib import Path
  from typing import List
  from typing import Optional
  from typing import Tuple
  from typing import Type
  from typing import Union
  import tensorflow
  from tensorflow import keras
  from autokeras import auto_model
  from autokeras import blocks
  from autokeras import nodes
  from autokeras.engine import tuner
  from autokeras.tuners import greedy
  from autokeras.tuners import task_specific
  from autokeras.utils import types
label_desc: Use image node_id 1 to create a new SupervisedImagePipeline object from inherited base classes: auto_model with example: obj = SupervisedImagePipeline(outputs)