code: def load_pipeline(filepath, custom_objects=None):
      """Load a Pipeline instance from disk."""
      if custom_objects is None:
          custom_objects = {}
      with keras.utils.custom_object_scope(custom_objects):
          return Pipeline.from_config(io_utils.load_json(filepath))
  
imports: import tensorflow
  from tensorflow import keras
  from tensorflow import nest
  from autokeras import preprocessors
  from autokeras.engine import hyper_preprocessor
  from autokeras.engine import preprocessor
  from autokeras.utils import data_utils
  from autokeras.utils import io_utils
label_desc: Use image node_id 1 for calling a global function with example usage: load_pipeline(filepath, custom_objects) and returns: Pipeline