code: def _single_compress(
      self, max_steps: int | None, max_epochs: int | None
  ):
      self._fusion_compress(max_steps, max_epochs)
  
imports: from __future__ import annotations
  import logging
  from typing import List, Dict, overload
  import torch
  from torch import Tensor
  from ..base.compressor import Compressor, Quantizer
  from ..base.wrapper import ModuleWrapper
  from ..utils import Evaluator, _EVALUATOR_DOCSTRING
  from ..base.target_space import TargetType
label_desc: Use image node_id 12 for calling the LsqQuantizer obj's underlying member method code with example usage: obj._single_compress(max_steps, max_epochs) without return types