code: def __init__(
      self, model, config_list, pruning_algorithm="level", **algo_kwargs
  ):
      super().__init__(model, config_list)
      self.set_wrappers_attribute("calculated", False)
      self.masker = MASKER_DICT[pruning_algorithm](
          model, self, **algo_kwargs
      )
  
file_path: auptimizer/src/aup/compression/tensorflow/pruning/one_shot.py
imports: import tensorflow
  from ..compressor import Pruner
label_desc: Use image node_id 1 to create a new OneshotPruner object from inherited base classes: Pruner with example: obj = OneshotPruner(model, config_list, pruning_algorithm)