code: def save_quantized_model(
      self, layer, path, input_spec=None, **config
  ):
      self.quanter.save_quantized_model(
          model=layer, path=path, input_spec=input_spec, **config
      )
  
file_path: PaddleDetection/ppdet/slim/prune.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle.utils import try_import
  from ppdet.core.workspace import register, serializable
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling the PrunerQAT obj's underlying member method code with example usage: obj.save_quantized_model(layer, path, input_spec) without return types