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AYY{1aHF2>>!#4bggd6KLL2774#899K ==& !!rL) @rbrbrorbrprbrprprb)rmrmrbrnrnrbrororbrprprbrprprb)rmrmrbrnrnrbrorororbrprprprbrprprprb)rmrmrbrnrnrbrororororbrprprprprbrprprprprb)ABDEcfgsweightsprogresskwargsc Ub8SUS'URSb#[US[URS55 [[ [ UUS940UD6nUbUR URUSS95 U$)NFr) categoriesr()r_T)rw check_hash)metarlenrrlruload_state_dictget_state_dict)r^r_rvrwrxmodels rJ_vggrbs!&~ << % 1 !&-W\\,=W9X Y  DI*= H HE g44hSW4XY LrL) rzUhttps://github.com/pytorch/vision/tree/main/references/classification#alexnet-and-vggzNThese weights were trained from scratch by using a simplified training recipe.)min_sizerzrecipe_docsc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)ruz6https://download.pytorch.org/models/vgg11-8a719046.pth crop_sizeihU ImageNet-1KgzGAQ@gx&1(V@zacc@1zacc@5V-o@g= ףp@ num_params_metrics_ops _file_sizeurl transformsr|N rSrTrUrVrrr _COMMON_META IMAGENET1K_V1DEFAULTr\rrLrJrrusQ D.#>    ###     M GrLrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)rz9https://download.pytorch.org/models/vgg11_bn-6002323d.pthrrijrgHzQ@gp= sV@rrgjt@rrrNrrrLrJrrQ G.#>    ###  !  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The weights were trained using the original input standardization method as described in the paper. )rrzrrrrrr) rSrTrUrVrrr rrrZIMAGENET1K_FEATURESrr\rrLrJrrs D.#>    ###  !  M " W ,7    #M"5\"5\  ! :GrLrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)rz9https://download.pytorch.org/models/vgg16_bn-6c64b313.pthrri(L?rgףp= WR@g/$V@rrgrh~@rrrNrrrLrJrrrrLrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)ri z6https://download.pytorch.org/models/vgg19-dcbb9e9d.pthrri(0rgMbR@gMbV@roʡ3@g rh @rrrNrrrLrJrr rrLrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)riz9https://download.pytorch.org/models/vgg19_bn-c79401a0.pthrri([rgˡER@gSV@rrg/$!@rrrNrrrLrJrrsQ G.#>    ###  !  M GrLr pretrained)rvT)rvrwc H[RU5n[SSX40UD6$)a4VGG-11 from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG11_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG11_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.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG11_Weights :members: rqF)rverifyrrvrwrxs rJrr2(*""7+G UG 8 88rLc H[RU5n[SSX40UD6$)a@VGG-11-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG11_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG11_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG11_BN_Weights :members: rqT)rrrrs rJrrL(*%%g.G T7 7 77rLc H[RU5n[SSX40UD6$)a4VGG-13 from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG13_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG13_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.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG13_Weights :members: rrF)rrrrs rJrrfrrLc H[RU5n[SSX40UD6$)a@VGG-13-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG13_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG13_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG13_BN_Weights :members: rrT)rrrrs rJr r rrLc H[RU5n[SSX40UD6$)a4VGG-16 from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG16_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG16_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.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG16_Weights :members: rsF)rrrrs rJr!r!rrLc H[RU5n[SSX40UD6$)a@VGG-16-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG16_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG16_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG16_BN_Weights :members: rsT)rrrrs rJr"r"rrLc H[RU5n[SSX40UD6$)a4VGG-19 from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG19_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG19_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.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG19_Weights :members: rtF)rrrrs rJr#r#rrLc H[RU5n[SSX40UD6$)a@VGG-19_BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG19_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG19_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG19_BN_Weights :members: rtT)rrrrs rJr$r$rrL)F)6 functoolsrtypingrrrrrr rOtorch.nnr5transforms._presetsr utilsr _apirrr_metar_utilsrr__all__rWrstrrXrYr8rlru__annotations__rrrrrrrrrrrrrrr r!r"r#r$rrLrJrs99 5'66'B *#"))#L"T%S/*"""$ J R a p *d3U38_% %&cth{.Ct_bgj&e a  K({(K({(.K.b{(K({(, 0K0K!LM04t9h}-99WZ9_b9N90,0@0N0N!OP6:T8"238d8]`8eh8Q80, 0K0K!LM04t9h}-99WZ9_b9N90,0@0N0N!OP6:T8"238d8]`8eh8Q80, 0K0K!LM04t9h}-99WZ9_b9N90,0@0N0N!OP6:T8"238d8]`8eh8Q80, 0K0K!LM04t9h}-99WZ9_b9N90,0@0N0N!OP6:T8"238d8]`8eh8Q8rL