code: def status(self):
      status = super().status
      status.update(
          {
              "channels_last": self.channels_last,
              "checkpoint": "ckpt.pth",
              "thread_num": self.thread_num,
              "jit_strict": self.jit_strict,
              "jit_method": self.jit_method,
              "enable_onednn": self.enable_onednn,
          }
      )
      return status
  
file_path: BigDL/python/nano/src/bigdl/nano/pytorch/low_precision/jit_int8_model.py
imports: from bigdl.nano.pytorch.context_manager import generate_context_manager
  from bigdl.nano.pytorch.model import AcceleratedLightningModule
  from bigdl.nano.utils.pytorch import jit_convert
  from bigdl.nano.utils.common import compare_version
  import torch
  from torch.ao.quantization import QConfig, get_default_qconfig_mapping
  from torch.quantization.quantize_fx import prepare_fx, convert_fx
  import operator
  from collections.abc import Sequence
label_desc: Use image node_id 6 for calling the PytorchJITINT8Model obj's underlying member method code with example usage: obj.status() and returns: status