code: def __exit__(self, exc_type, exc_value, traceback):
      Module.load_state_dict = self._old_torch_load_state_dict
      Module._load_from_state_dict = (
          self._old_torch_load_from_state_dict
      )
      Module.to = self._old_torch_to_device
      torch.nn.utils.skip_init = self._old_skip_init
  
imports: import torch
  import os
  import json
  from .transformers import ggml_convert_low_bit
  from torch.nn.modules import Module
  from torch.nn.modules.module import _IncompatibleKeys
  from accelerate import init_empty_weights
  from accelerate.utils import set_module_tensor_to_device
  from bigdl.llm.ggml.quantize import ggml_tensor_qtype
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.transformers.utils import extract_local_archive_file, get_local_shard_files
  import transformers
  import warnings
  from transformers import PreTrainedModel
  from .utils.common import MuteHFLogger
  from .utils.lazy_load_torch import LazyLoadTensors
  from contextlib import ExitStack, contextmanager
label_desc: Use image node_id 3 for calling the DisableTorchAllocTensor obj's underlying member method code with example usage: obj.__exit__(exc_type, exc_value, traceback) without return types