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IIdD ! GGDM JJ ! IIdK (  <\\^a++GG++AHH9SY+Zvv)))!&&!4*2>>22GG%%ahh2GG%%affa0299--GGOOAHHa6GG%%affa0$ r+cN<V^8dQhRS[PRS[P/#)rxr )torchTensor)r&r's"r(r)r*As#%,,r+cVPV4pVPV4p\P!V^4pVP V4pV#))rr6rLflattenr;)rFrKs&&r(forward VGG.forwardAs@ MM!  LLO MM!Q  OOA r+)r6r;r)iTg?) __name__ __module__ __qualname____firstlineno__r4rQ__static_attributes____classdictcell__ __classcell__)rHr's@@r(rr#s11:r+cV^8dQhR\\\\3,,R\R\ P /#)rcfg batch_normr )listrstrr#r$r!r7)r&s"r(r)r)Is2""T%S/*"""r+c.p^pVFpVR8Xd#V\P!^^R7., pK,\\V4p\P!W4^^R7pV'd6W%\P !V4\P !RR7., pMW%\P !RR7., pTpK \P!V!#)M) kernel_sizestride)rbpaddingT)inplace)r! MaxPool2drr#r>rDr9r7)r[r\layers in_channelsvconv2ds&& r( make_layersrkIs FK  8 r||!<= =FS! AYY{1aHF2>>!#4bggd6KLL2774#899K ==& !!r+ABDEc vV^8dQhR\R\R\\,R\R\R\ /#)rr[r\weightsprogresskwargsr )r^r$rr rr)r&s"r(r)r)bs=cth{.Ct_bgjr+c VeBRVR&VPR,e(\VR\VPR,44\\ \ V,VR73/VBpVe#VP VPVRR74V#)NFr categoriesr)r\T)rr check_hash)metarlenrrkcfgsload_state_dictget_state_dict)r[r\rqrrrsmodels&&&&, r(_vggr}bs!&~ << % 1 !&-W\\,=W9X Y  DI*= H HE g44hSW4XY Lr+min_sizerurecipezUhttps://github.com/pytorch/vision/tree/main/references/classification#alexnet-and-vgg_docszNThese weights were trained from scratch by using a simplified training recipe.c d]tRt^ut]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]t Rt R#)rz6https://download.pytorch.org/models/vgg11-8a719046.pth crop_size num_paramsihU_metrics ImageNet-1Kacc@1gzGAQ@acc@5gx&1(V@_opsV-o@ _file_sizeg= ףp@url transformsrwN rSrTrUrVr rr _COMMON_META IMAGENET1K_V1DEFAULTrWrr+r(rrus^ D.#>    ) VV  E &  M Gr+c d]tRt^t]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]t Rt R#)rz9https://download.pytorch.org/models/vgg11_bn-6002323d.pthrrijrrrgHzQ@rgp= sV@rrrgjt@rrNrrr+r(rr^ G.#>    ) VV  E '  M Gr+c d]tRt^t]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]t Rt R#)rz6https://download.pytorch.org/models/vgg13-19584684.pthrri(&rrrgZd{Q@rg9vOV@rV-&@rgQ@rrNrrr+r(rr^ D.#>    ) VV  F '  M Gr+c d]tRt^t]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]t Rt R#)rz9https://download.pytorch.org/models/vgg13_bn-abd245e5.pthrri(=rrrg/$Q@rg-V@rrrg= ףp@rrNrrr+r(rrs^ G.#>    ) VV  F &  M Gr+c]tRt^t]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]!R]!]^RRR7/]CRRRRRRRRR] !R4R ] !R4//R R R RRR/CR7t ]t Rt R#)rz6https://download.pytorch.org/models/vgg16-397923af.pthrri(+?rrrgSQ@rg rV@rq= ף.@rg|?5^~@rzIhttps://download.pytorch.org/models/vgg16_features-amdegroot-88682ab5.pth)rmeanstdruNrz5https://github.com/amdegroot/ssd.pytorch#training-ssdnang#~j~@ra` 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. r)g;pΈ?g N]?g| ?)p?rr) rSrTrUrVr rrrrr%IMAGENET1K_FEATURESrrWrr+r(rrs D.#>    ) VV  E '  M " W ,7    ) $ M U5\U5\  E '  :Gr+c d]tRt^t]!R]!]^R7/]CRRRRRRR R //R R R R/CR7t]t Rt R#)rz9https://download.pytorch.org/models/vgg16_bn-6c64b313.pthrri(L?rrrgףp= WR@rg/$V@rrrgrh~@rrNrrr+r(rrrr+c d]tRtRt]!R]!]^R7/]CRRRRRR R R //R R RR/CR7t]t Rt R#)ri z6https://download.pytorch.org/models/vgg19-dcbb9e9d.pthrri(0rrrgMbR@rgMbV@roʡ3@rg rh @rrNrrr+r(rr rr+c d]tRtRt]!R]!]^R7/]CRRRRRR R R //R R RR/CR7t]t Rt R#)riz9https://download.pytorch.org/models/vgg19_bn-c79401a0.pthrri([rrrgˡER@rgSV@rrrg/$!@rrNrrr+r(rrs^ G.#>    ) VV  F '  M Gr+ pretrained)rqrqrrTc^V^8dQhR\\,R\R\R\/#rrqrrrsr )rrr$rr)r&s"r(r)r)4/99h}-99WZ9_b9r+c H\PV4p\RRW3/VB#)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: rlF)rverifyr}rqrrrss$$,r(vgg11r2(*""7+G UG 8 88r+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)N088"238d8]`8eh8r+c H\PV4p\RRW3/VB#)a@VGG-11-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG11_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG11_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG11_BN_Weights :members: rlT)rrr}rs$$,r(vgg11_bnrL(*%%g.G T7 7 77r+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)hrr+c H\PV4p\RRW3/VB#)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: rmF)rrr}rs$$,r(vgg13rfrr+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)rr+c H\PV4p\RRW3/VB#)a@VGG-13-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG13_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG13_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG13_BN_Weights :members: rmT)rrr}rs$$,r(vgg13_bnrrr+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)rr+c H\PV4p\RRW3/VB#)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: rnF)rrr}rs$$,r(vgg16rrr+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)rr+c H\PV4p\RRW3/VB#)a@VGG-16-BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG16_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG16_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG16_BN_Weights :members: rnT)rrr}rs$$,r(vgg16_bnrrr+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)rr+c H\PV4p\RRW3/VB#)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: roF)rrr}rs$$,r(vgg19rrr+c^V^8dQhR\\,R\R\R\/#r)rrr$rr)r&s"r(r)r)rr+c H\PV4p\RRW3/VB#)a@VGG-19_BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition `__. Args: weights (:class:`~torchvision.models.VGG19_BN_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.VGG19_BN_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.vgg.VGG`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.VGG19_BN_Weights :members: roT)rrr}rs$$,r(vgg19_bnrrr+cV^8dQh/^\9d7\\\\\\ 3,,3,;R&#)rry)__conditional_annotations__dictr^r]rr#)r&s"r(r)r)s7rd3U38_% %&sr+)rrrrrrrrrrrrrrrrr)F) @rararrarrarrra)rrrarrrarrrarrrarrra)rrrarrrarrrrarrrrarrrra)rrrarrrarrrrrarrrrrarrrrra) r)1r functoolsrtypingrrrrrLtorch.nnr!transforms._presetsrutilsr _apir r r _metar _utilsrr__all__r"rrkryr}rrrrrrrrrrrrrrrrrrr))rs@r(rs-- 5'66'B *#"))#L"$ I R a p *& e a  K({(K({(.K.b{(K({(, 0K0K!LM99t9N90,0@0N0N!OP8d8T8Q80, 0K0K!LM99t9N90,0@0N0N!OP8d8T8Q80, 0K0K!LM99t9N90,0@0N0N!OP8d8T8Q80, 0K0K!LM99t9N90,0@0N0N!OP8d8T8Q8r+