docstr: MobileNet V3 main class
  
  Args:
     Inherits args from floating point MobileNetV3
docstr_tok: ["MobileNet","V3","main","class","Args",":","Inherits","args","from","floating","point","MobileNetV3"]
code: def __init__(self, *args: Any, **kwargs: Any) -> None:
      """
      MobileNet V3 main class
  
      Args:
         Inherits args from floating point MobileNetV3
      """
      super().__init__(*args, **kwargs)
      self.quant = QuantStub()
      self.dequant = DeQuantStub()
  
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 1 to create a new QuantizableMobileNetV3 object from inherited base classes: MobileNetV3 with example: obj = QuantizableMobileNetV3()