h K ^%SSKJr SSKJrJrJrJr SSKrSSKJ r SSK J r SSK J r SSKJrJrJr SS KJr SS KJrJr /S Qr"S S \ R05rS[TU]5 [U5 Xl[R "S5Ul[R"[R"SS5[R"S5[R"US9[R"SS5[R"S5[R"US9[R"SU55Ul U(GaUR5GHsn[U[R5(ad[RR!UR"SSS9 UR$b,[RR'UR$S 5 MM[U[R(5(aV[RR'UR"S 5 [RR'UR$S 5 M[U[R5(dGM[RR+UR"S S 5 [RR'UR$S 5 GMv gg) N)r+ibiT)pfan_outrelu)mode nonlinearityrr g{Gz?)super__init__r r%nnAdaptiveAvgPool2davgpool SequentialLinearReLUDropout classifiermodules isinstanceConv2dinitkaiming_normal_weightbias constant_ BatchNorm2dnormal_)selfr%r&r'r(m __class__s N/var/www/auris/envauris/lib/python3.13/site-packages/torchvision/models/vgg.pyr2 VGG.__init__$s D! ++F3 -- IIk4 ( GGDM JJ ! IIdD ! GGDM JJ ! IIdK (  \\^a++GG++AHH9SY+Zvv)))!&&!4*2>>22GG%%ahh2GG%%affa0299--GGOOAHHa6GG%%affa0$ xcURU5nURU5n[R"US5nUR U5nU$)Nr )r%r5torchflattenr:)rErKs rHforward VGG.forwardAs@ MM!  LLO MM!Q  OOA rJ)r5r:r%)iTg?)__name__ __module__ __qualname____firstlineno__r3Moduleintboolfloatr2rMTensorrO__static_attributes__ __classcell__)rGs@rHrr#s\hk1 1031JN1`e1 11:%,,rJrcfg batch_normr)cn/nSnUHnUS:XaU[R"SSS9/- nM$[[U5n[R"X4SSS9nU(a.X%[R "U5[R "SS9/- nOX%[R "SS9/- nUnM [R"U6$) NMr) kernel_sizestrider )rapaddingT)inplace)r3 MaxPool2drrVr=rCr8r6)r\r]layers in_channelsvconv2ds rH make_layersrjIs FK  8 r||!<= =FS! AYY{1aHF2>>!#4bggd6KLL2774#899K ==& !!rJ) @r`r`rmr`rnr`rnrnr`)rkrkr`rlrlr`rmrmr`rnrnr`rnrnr`)rkrkr`rlrlr`rmrmrmr`rnrnrnr`rnrnrnr`)rkrkr`rlrlr`rmrmrmrmr`rnrnrnrnr`rnrnrnrnr`)ABDEcfgsweightsprogresskwargsc Ub8SUS'URSb#[US[URS55 [[ [ UUS940UD6nUbUR URUSS95 U$)NFr' categoriesr&)r]T)ru check_hash)metarlenrrjrsload_state_dictget_state_dict)r\r]rtrurvmodels rH_vggrbs!&~ << % 1 !&-W\\,=W9X Y  DI*= H HE g44hSW4XY LrJ) rzUhttps://github.com/pytorch/vision/tree/main/references/classification#alexnet-and-vggzNThese weights were trained from scratch by using a simplified training recipe.)min_sizerxrecipe_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 transformsrzN rQrRrSrTr rr _COMMON_META IMAGENET1K_V1DEFAULTrZrrJrHrrusQ D.#>    ###     M GrJrc 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@rrrNrrrJrHrrQ G.#>    ###  !  M GrJrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)rz6https://download.pytorch.org/models/vgg13-19584684.pthrri(&rgZd{Q@g9vOV@rV-&@gQ@rrrNrrrJrHrrQ D.#>    ###  !  M GrJrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)rz9https://download.pytorch.org/models/vgg13_bn-abd245e5.pthrri(=rg/$Q@g-V@rrg= ףp@rrrNrrrJrHrrsQ G.#>    ###     M GrJrc \rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\"S\"\SSSS90\ESSSS\ "S5\ "S5S .0S SSS.ES 9r \r Sr g)rz6https://download.pytorch.org/models/vgg16-397923af.pthrri(+?rgSQ@g rV@rq= ף.@g|?5^~@rrzIhttps://download.pytorch.org/models/vgg16_features-amdegroot-88682ab5.pth)g;pΈ?g N]?g| ?)p?rr)rmeanstdNz5https://github.com/amdegroot/ssd.pytorch#training-ssdnang#~j~@a` These weights can't be used for classification because they are missing values in the `classifier` module. Only the `features` module has valid values and can be used for feature extraction. The weights were trained using the original input standardization method as described in the paper. )rrxrrrrrr) rQrRrSrTr rr rrrXIMAGENET1K_FEATURESrrZrrJrHrrs D.#>    ###  !  M " W ,7    #M"5\"5\  ! :GrJrc N\rSrSr\"S\"\SS90\ESSSSS .0S S S .ES 9r\r Sr g)rz9https://download.pytorch.org/models/vgg16_bn-6c64b313.pthrri(L?rgףp= WR@g/$V@rrgrh~@rrrNrrrJrHrrrrJrc 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 @rrrNrrrJrHrr rrJrc 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/$!@rrrNrrrJrHrrsQ G.#>    ###  !  M GrJr pretrained)rtT)rtruc H[RU5n[SSX40UD6$)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: roF)rverifyrrtrurvs rHrr2(*""7+G UG 8 88rJc H[RU5n[SSX40UD6$)a@VGG-11-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG11_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG11_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG11_BN_Weights :members: roT)rrrrs rHrrL(*%%g.G T7 7 77rJc H[RU5n[SSX40UD6$)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: rpF)rrrrs rHrrfrrJc H[RU5n[SSX40UD6$)a@VGG-13-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG13_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG13_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG13_BN_Weights :members: rpT)rrrrs rHrrrrJc H[RU5n[SSX40UD6$)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: rqF)rrrrs rHrrrrJc H[RU5n[SSX40UD6$)a@VGG-16-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG16_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG16_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG16_BN_Weights :members: rqT)rrrrs rHr r rrJc H[RU5n[SSX40UD6$)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: rrF)rrrrs rHr!r!rrJc H[RU5n[SSX40UD6$)a@VGG-19_BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG19_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG19_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG19_BN_Weights :members: rrT)rrrrs rHr"r"rrJ)F)6 functoolsrtypingrrrrrMtorch.nnr3transforms._presetsr utilsr _apir r r_metar_utilsrr__all__rUrliststrrVrWr6rjrsdict__annotations__rrrrrrrrrrrrrrrrr r!r"rrJrHrs-- 5'66'B *#"))#L"T%S/*"""$ 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]`8eh8Q8rJ