code: def __init__(
      self,
      ptq_config,
      quant_batch_num=10,
      output_dir="output_inference",
      fuse=True,
      fuse_list=None,
  ):
      super(PTQ, self).__init__()
      self.ptq_config = ptq_config
      self.quant_batch_num = quant_batch_num
      self.output_dir = output_dir
      self.fuse = fuse
      self.fuse_list = fuse_list
  
file_path: PaddleDetection/ppdet/slim/quant.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  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 1 to create a new PTQ object from inherited base classes: object with example: obj = PTQ(ptq_config, quant_batch_num, output_dir, fuse, fuse_list)