code: def __init__(self, *args: Any, **kwargs: Any) -> None:
      super().__init__(*args, **kwargs)
  
      self.quant = torch.ao.quantization.QuantStub()
      self.dequant = torch.ao.quantization.DeQuantStub()
  
imports: from functools import partial
  from typing import Any, List, Optional, Type, Union
  import torch
  import torch.nn
  from torch import Tensor
  from torchvision.models.resnet import BasicBlock, Bottleneck, ResNet, ResNet18_Weights, ResNet50_Weights, ResNeXt101_32X8D_Weights, ResNeXt101_64X4D_Weights
  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 .utils import _fuse_modules, _replace_relu, quantize_model
label_desc: Use image node_id 1 to create a new QuantizableResNet object from inherited base classes: ResNet with example: obj = QuantizableResNet()