ёinSSKJr SSKrSSKJrJr SSKJrJr SSK r SSK J s J r SSK J r SSKJr SSKJrJrJrJrJr SSKJr SS KJr S S 0r/r\(aSS K Jr SS KJr "SS\5r"SS\ R@5r!"SS\ R@5r"SSjr#SSSjjr$g)) annotationsN) TYPE_CHECKING TypedDict) NotRequiredUnpack)nn) ParamAttr)Conv2DDropoutLinear MaxPool2DReLU)Uniform)get_weights_path_from_urlalexnet)zUhttps://paddle-imagenet-models-name.bj.bcebos.com/dygraph/AlexNet_pretrained.pdparams 7f0f9f737132e02732d75a1459d98a43)Tensor)Size2c \rSrSr%S\S'Srg)_AlexNetOptions.zNotRequired[int] num_classesN)__name__ __module__ __qualname____firstlineno____annotations____static_attributes__r\/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/vision/models/alexnet.pyrr.s%%r rc`^\rSrSrSSU4SjjjrSSjrSrU=r$) ConvPoolLayer2c >[T U]5 US:Xa [5OSUl[ UUUUUU[ [ U*U5S9[ [ U*U5S9S9Ul[SSSS9Ul g)Nrelu initializer) in_channels out_channels kernel_sizestridepaddinggroups weight_attr bias_attrr)r+r,r-) super__init__rr&r r r_convr _pool) selfinput_channelsoutput_channels filter_sizer,r-stdvr.act __class__s r!r4ConvPoolLayer.__init__3ss !VmDF &(#!gteT.BCGTE4,@A   1QB r cURU5nURbURU5nURU5nU$)N)r5r&r6r7inputsxs r!forwardConvPoolLayer.forwardNs9 JJv  99  ! A JJqMr )r5r6r&)N)r8intr9rFr:rr,rr-rr;floatr.rFr<z str | NonereturnNonerArrHr)rrrrr4rCr __classcell__r=s@r!r#r#2sCCC C  C  CCCC CC6r r#cJ^\rSrSr%SrS\S'SS U4SjjjrS SjrSrU=r $) AlexNetVaAlexNet model from `"ImageNet Classification with Deep Convolutional Neural Networks" `_. Args: num_classes (int, optional): Output dim of last fc layer. If num_classes <= 0, last fc layer will not be defined. Default: 1000. Returns: :ref:`api_paddle_nn_Layer`. An instance of AlexNet model. Examples: .. code-block:: pycon >>> import paddle >>> from paddle.vision.models import AlexNet >>> alexnet = AlexNet() >>> x = paddle.rand([1, 3, 224, 224]) >>> out = alexnet(x) >>> print(out.shape) paddle.Size([1, 1000]) rFrcN>[TU]5 XlS[R"S5- n[ SSSSSUSS 9UlS[R"S 5- n[ SS S S SUSS 9UlS[R"S5- n[S SSS S [[U*U5S9[[U*U5S9S9Ul S[R"S5- n[SSSS S [[U*U5S9[[U*U5S9S9Ul S[R"S5- n[ SSSS S USS 9Ul URS:aS[R"S5- n[SSS9Ul[!SS[[U*U5S9[[U*U5S9S9Ul[SSS9Ul[!SS[[U*U5S9[[U*U5S9S9Ul[!SU[[U*U5S9[[U*U5S9S9Ulgg)Ng?ikr1@ r2r&)r<i@rEiir')r,r-r/r0i i ri$g?downscale_in_infer)pmodei) in_features out_featuresr/r0)r3r4rmathsqrtr#_conv1_conv2r r r_conv3_conv4_conv5r _drop1r _fc6_drop2_fc7_fc8)r7rr;r=s r!r4AlexNet.__init__qs &TYY{++#Ar2q!TvF TYYz**#BQ1dG TYY{++   !gteT.BCGTE4,@A  TYY{++   !gteT.BCGTE4,@A  TYY{++#CaAtH   a ;//D!C.BCDK'!%'4%2FG#t0DE DI"C.BCDK !%'4%2FG#t0DE DI  (%'4%2FG#t0DE DI# r cVURU5nURU5nURU5n[R"U5nUR U5n[R"U5nUR U5nURS:a[R"USSS9nURU5nURU5n[R"U5nURU5nURU5n[R"U5nURU5nU$)NrrE) start_axis stop_axis)r^r_r`Fr&rarbrpaddleflattenrcrdrerfrgr@s r!rCAlexNet.forwards KK  KKN KKN FF1I KKN FF1I KKN   a qQ"=A AA ! Aq A AA ! Aq A ! Ar ) r^r_r`rarbrcrerdrfrgr)i)rrFrHrIrJ) rrrr__doc__rr4rCrrKrLs@r!rNrNVs%044lr rNc [S0UD6nU(a[U[;d US35e[[US[US5n[R"U5nUR U5 U$)NzJ model do not have a pretrained model now, you should set pretrained=FalserrEr)rN model_urlsrrnload load_dict)arch pretrainedkwargsmodel weight_pathparams r!_alexnetr|sz  f Ez! f^ _ !0 t Q D!1!!4  K(  Lr c [SU40UD6$)aAlexNet model from `"ImageNet Classification with Deep Convolutional Neural Networks" `_. Args: pretrained (bool, optional): Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False. **kwargs (optional): Additional keyword arguments. For details, please refer to :ref:`AlexNet `. Returns: :ref:`api_paddle_nn_Layer`. An instance of AlexNet model. Examples: .. code-block:: pycon >>> import paddle >>> from paddle.vision.models import alexnet >>> # Build model >>> model = alexnet() >>> # Build model and load imagenet pretrained weight >>> # model = alexnet(pretrained=True) >>> x = paddle.rand([1, 3, 224, 224]) >>> out = model(x) >>> print(out.shape) paddle.Size([1, 1000]) r)r|)rwrxs r!rrsB Iz 4V 44r )rvstrrwboolrxUnpack[_AlexNetOptions]rHrN)F)rwrrxrrHrN)% __future__rr\typingrrtyping_extensionsrrrnpaddle.nn.functionalr functionalrmpaddle.base.param_attrr paddle.nnr r r r rpaddle.nn.initializerrpaddle.utils.downloadrrs__all__rpaddle._typingrrLayerr#rNr|rrr r!rs#  2 ,>>);  $&)&!BHH!HdbhhdN +B (!5!5(?!5 !5r