code: def status(self):
      status = super().status
      status.update(
          {
              "use_ipex": self.use_ipex,
              "use_jit": self.use_jit,
              "channels_last": self.channels_last,
              "channels_last_available": self.channels_last_available,
              "checkpoint": "ckpt.pth",
              "thread_num": self.thread_num,
              "jit_strict": self.jit_strict,
              "jit_method": self.jit_method,
              "weights_prepack": self.weights_prepack,
              "enable_onednn": self.enable_onednn,
              "compression": self.compression,
          }
      )
      return status
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/ipex/ipex_inference_model.py
imports: from bigdl.nano.utils.pytorch import generate_channels_last_available, apply_proper_channels_last, transform_state_dict_to_dtype, patch_attrs_from_model_to_object, jit_convert
  from bigdl.nano.pytorch.model import AcceleratedLightningModule
  from bigdl.nano.pytorch.context_manager import generate_context_manager
  from bigdl.nano.deps.ipex.ipex_api import ipex_optimize
  from bigdl.nano.utils.common import invalidInputError, compare_version
  import operator
  import torch
  import copy
label_desc: Use image node_id 4 for calling the PytorchIPEXJITModel obj's underlying member method code with example usage: obj.status() and returns: status