code: def _load_from_state_dict(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      version = local_metadata.get("version", None)
  
      if hasattr(self, "qconfig") and (version is None or version < 2):
          default_state_dict = {
              "scale_activation.activation_post_process.scale": torch.tensor(
                  [1.0]
              ),
              "scale_activation.activation_post_process.activation_post_process.scale": torch.tensor(
                  [1.0]
              ),
              "scale_activation.activation_post_process.zero_point": torch.tensor(
                  [0], dtype=torch.int32
              ),
              "scale_activation.activation_post_process.activation_post_process.zero_point": torch.tensor(
                  [0], dtype=torch.int32
              ),
              "scale_activation.activation_post_process.fake_quant_enabled": torch.tensor(
                  [1]
              ),
              "scale_activation.activation_post_process.observer_enabled": torch.tensor(
                  [1]
              ),
          }
          for k, v in default_state_dict.items():
              full_key = prefix + k
              if full_key not in state_dict:
                  state_dict[full_key] = v
  
      super()._load_from_state_dict(
          state_dict,
          prefix,
          local_metadata,
          strict,
          missing_keys,
          unexpected_keys,
          error_msgs,
      )
  
imports: from functools import partial
  from typing import Any, List, Optional, Union
  import torch
  from torch import nn, Tensor
  from torch.ao.quantization import DeQuantStub, QuantStub
  from ...ops.misc import Conv2dNormActivation, SqueezeExcitation
  from ...transforms._presets import ImageClassification
  from .._api import register_model, Weights, WeightsEnum
  from .._meta import _IMAGENET_CATEGORIES
  from .._utils import _ovewrite_named_param, handle_legacy_interface
  from ..mobilenetv3 import _mobilenet_v3_conf, InvertedResidual, InvertedResidualConfig, MobileNet_V3_Large_Weights, MobileNetV3
  from .utils import _fuse_modules, _replace_relu
label_desc: Use image node_id 4 for calling the QuantizableSqueezeExcitation obj's underlying member method code with example usage: obj._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types