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N) r/r0r1rrr _COMMON_META IMAGENET1K_V1Z IMAGENET1K_V2DEFAULTr*r*r*r+r(sB  c @sBeZdZedeeddedddddd id d d d dZeZdS)rzChttps://download.pytorch.org/models/mobilenet_v3_small-047dcff4.pthrri&rrgnP@g}?5^U@rgv/?g r#@z} These weights improve upon the results of the original paper by using a simple training recipe. rrN) r/r0r1rrr rrrr*r*r*r+rTs" Z pretrained)rT)rr)rrrXrKcKs*t|}td|\}}t||||f|S)a Constructs a large MobileNetV3 architecture from `Searching for MobileNetV3 `__. Args: weights (:class:`~torchvision.models.MobileNet_V3_Large_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.MobileNet_V3_Large_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.mobilenet.MobileNetV3`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.MobileNet_V3_Large_Weights :members: r)r)rverifyrrrrrXrTrUr*r*r+rls cKs*t|}td|\}}t||||f|S)a Constructs a small MobileNetV3 architecture from `Searching for MobileNetV3 `__. Args: weights (:class:`~torchvision.models.MobileNet_V3_Small_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.MobileNet_V3_Small_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.mobilenet.MobileNetV3`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.MobileNet_V3_Small_Weights :members: r)r)rrrrrr*r*r+rs )rrFF). functoolsrtypingrrrrrrnrr Zops.miscr r rOZtransforms._presetsr utilsrZ_apirrr_metarZ_utilsrrr__all__rrPr7rr4r5r3rr2rrrrrrrr*r*r*r+sx     Ak 2 ,