code: def _save_to_state_dict(self, destination, prefix, keep_vars):
      super()._save_to_state_dict(destination, prefix, keep_vars)
      destination[prefix + "dtype"] = self.dtype
      destination[prefix + "_packed_params"] = self._weight_bias()
  
imports: from collections.abc import Iterable
  import torch
  import torch.nn
  import torch.ao.nn.intrinsic
  import torch.ao.nn.intrinsic.qat
  from torch.nn.utils.fusion import fuse_linear_bn_weights
  from torch.nn.utils.parametrize import type_before_parametrizations
  from typing import Optional
  from .utils import _quantize_weight, _hide_packed_params_repr, WeightedQuantizedModule
label_desc: Use image node_id 5 for calling the LinearPackedParams obj's underlying member method code with example usage: obj._save_to_state_dict(destination, prefix, keep_vars) without return types