code: def status(self):
      status = super().status
      status.update(
          {
              "thread_num": self.thread_num,
              "checkpoint": "ckpt.pth",
              "use_ipex": self.use_ipex,
              "precision": self.precision,
              "compression": "fp32",
          }
      )
      return status
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/ipex/ipex_inference_xpu_model.py
imports: from bigdl.nano.pytorch.model import AcceleratedLightningModule
  import torch
  import intel_extension_for_pytorch
  from bigdl.nano.utils.pytorch import apply_data_to_xpu, apply_data_to_half
  from bigdl.nano.pytorch.context_manager import generate_context_manager
  from bigdl.nano.utils.common import invalidInputError
  import warnings
label_desc: Use image node_id 4 for calling the PytorchIPEXPUModel obj's underlying member method code with example usage: obj.status() and returns: status