code: def predict_with_adaptive_batch_size(
      model, batch_size, verbose=1, **fit_kwargs
  ):
      return run_with_adaptive_batch_size(
          batch_size,
          lambda x, validation_data, **kwargs: model.predict(
              x, verbose=verbose, **kwargs
          ),
          **fit_kwargs,
      )
  
file_path: autokeras/autokeras/utils/utils.py
imports: import re
  import warnings
  import keras_tuner
  import tensorflow
  from packaging.version import parse
  from tensorflow import nest
label_desc: Use image node_id 7 for calling a global function with example usage: predict_with_adaptive_batch_size(model, batch_size, verbose) and returns: run_with_adaptive_batch_size