ёiZ:SSKJr SSKJrJrJr SSKJrJr SSK r SSK J r SSK J r SSK Jr S S KJr \(aSS K Jr "S S \5r/rSS0r"SS\ R*5r"SS\ R*5rSSSjjrSSSjjrg)) annotations) TYPE_CHECKINGCallable TypedDict) NotRequiredUnpackN)nn)get_weights_path_from_url)ConvNormActivation)_make_divisible)Tensorc*\rSrSr%S\S'S\S'Srg)_MobileNetV2Options#zNotRequired[int] num_classeszNotRequired[bool] with_poolN)__name__ __module__ __qualname____firstlineno____annotations____static_attributes__r`/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/vision/models/mobilenetv2.pyrr#s%%$$rrzmobilenetv2_1.0)zChttps://paddle-hapi.bj.bcebos.com/models/mobilenet_v2_x1.0.pdparams 0340af0a901346c8d46f4529882fb63dcf^\rSrSr\R 4SU4SjjjrSSjrSrU=r $)InvertedResidual2c >[TU]5 X0lUS;de[[ X-55nURS:H=(a X:HUl/nUS:wa*UR [UUSU[RS95 UR[UUUUU[RS9[R"XbSSSSS9U"U5/5 [R"U6Ul g)N)r r r  kernel_size norm_layeractivation_layer)stridegroupsr%r&rF) bias_attr)super__init__r'introunduse_res_connectappendr r ReLU6extendConv2D Sequentialconv) selfinpoupr' expand_ratior% hidden_dimlayers __class__s rr+InvertedResidual.__init__3s  s123 #{{a/>CJ 1  MM" !)%'XX    "!%)%'XX  *1aeD3  MM6* rclUR(aXRU5-$URU5$)N)r.r4r5xs rforwardInvertedResidual.forward]s*   yy|# #99Q< r)r4r'r.) r6r,r7r,r'r,r8floatr%zCallable[..., nn.Layer]returnNoner?rrCr) rrrrr BatchNorm2Dr+r@r __classcell__r;s@rr r 2s[/1nn (+ (+(+ (+  (+ , (+ (+(+T  rr ch^\rSrSr%SrS\S'S\S'S S U4SjjjrS SjrS rU=r $) MobileNetV2daMobileNetV2 model from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" `_. Args: scale (float, optional): Scale of channels in each layer. Default: 1.0. num_classes (int, optional): Output dim of last fc layer. If num_classes <= 0, last fc layer will not be defined. Default: 1000. with_pool (bool, optional): Use pool before the last fc layer or not. Default: True. Returns: :ref:`api_paddle_nn_Layer`. An instance of MobileNetV2 model. Examples: .. code-block:: pycon >>> import paddle >>> from paddle.vision.models import MobileNetV2 >>> model = MobileNetV2() >>> x = paddle.rand([1, 3, 224, 224]) >>> out = model(x) >>> print(out.shape) paddle.Size([1, 1000]) r,rboolrc n>[TU]5 X lX0lSnSn[nSn[ R n/SQ/SQ/SQ/SQ/SQ/S Q/S Q/n [XA-U5n[U[S U5-U5Ul [S US U[ RS9/n U HKupp[X-U5n[U 5H(nUS:XaUOSnU RU"UUUU US95 UnM* MM U R[UURSU[ RS95 [ R"U 6UlU(a[ R "S5UlURS:aP[ R"[ R$"S5[ R&"URU55Ulgg)N i)r r r )r r )rQrNr )rQ@r )rQ`rSr )rQrSr )rQi@r r ?rSr )r'r%r&rr )r8r%r#g?)r*r+rrr r rFrmax last_channelr r0ranger/r3featuresAdaptiveAvgPool2D pool2d_avgDropoutLinear classifier)r5scalerr input_channelrZblock round_nearestr%inverted_residual_settingr\tcnsoutput_channelir'r;s rr+MobileNetV2.__init__s &"    ^^       % !( (=}M + 3sE? *M  %!#   4JA!,QY FN1X1f!%&%&#- !/ 4  !!%!#    x0  2215DO   a  mm 34+<+s rr@MobileNetV2.forwardsV MM!  >>"A   a q!$A"Ar)rar\rZrr^r)rXiT)rbrBrr,rrLrCrDrE) rrrr__doc__rr+r@rrGrHs@rrJrJdsa6O HHH H  HHT  rrJc [S0UD6nU(a[U[;d US35e[[US[US5n[R"U5nUR U5 U$)NzJ model do not have a pretrained model now, you should set pretrained=Falserr r)rJ model_urlsr roload load_dict)arch pretrainedkwargsmodel weight_pathparams r _mobilenetr}sz  !& !Ez! f^ _ !0 t Q D!1!!4  K(  Lrc <[S[U5-U4SU0UD6nU$)a6MobileNetV2 from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" `_. Args: pretrained (bool, optional): Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False. scale (float, optional): Scale of channels in each layer. Default: 1.0. **kwargs (optional): Additional keyword arguments. For details, please refer to :ref:`MobileNetV2 `. Returns: :ref:`api_paddle_nn_Layer`. An instance of MobileNetV2 model. Examples: .. code-block:: pycon >>> import paddle >>> from paddle.vision.models import mobilenet_v2 >>> # Build model >>> model = mobilenet_v2() >>> # Build model and load imagenet pretrained weight >>> # model = mobilenet_v2(pretrained=True) >>> # Build mobilenet v2 with scale=0.5 >>> model = mobilenet_v2(scale=0.5) >>> x = paddle.rand([1, 3, 224, 224]) >>> out = model(x) >>> print(out.shape) paddle.Size([1, 1000]) mobilenetv2_rb)r}str)rxrbryrzs r mobilenet_v2rs4J U#Z 7< @F E Lr)F)rwrrxrLryUnpack[_MobileNetV2Options]rCrJ)FrX)rxrLrbrBryrrCrJ) __future__rtypingrrrtyping_extensionsrrror paddle.utils.downloadr opsr _utilsrrr__all__rtLayerr rJr}rrrrrs# 2 ;$#%i%  / rxx/ dr"((rl#( 3N&(( (*( (r