
    ёi
                     8   S SK JrJ r   S SKJrJrJrJrJrJr  S SK	J
r
J	r	  S SKJrJr  S SKJr  S SKJrJr  S SKJrJr  S SKJrJrJrJr  S S	KJrJrJrJrJ r J!r!J"r"J#r#J$r$J%r%J&r&J'r'J(r(J)r)  S S
K*J+r+J,r,J-r-J.r.J/r/J0r0J1r1J2r2  S SK3J4r4J5r5J6r6  S SK7J8r8J9r9J:r:J;r;J<r<  / SQr=g)   )AlexNetalexnet)DenseNetdensenet121densenet161densenet169densenet201densenet264)	GoogLeNet	googlenet)InceptionV3inception_v3)LeNet)MobileNetV1mobilenet_v1)MobileNetV2mobilenet_v2)MobileNetV3LargeMobileNetV3Smallmobilenet_v3_largemobilenet_v3_small)ResNetresnet18resnet34resnet50	resnet101	resnet152resnext50_32x4dresnext50_64x4dresnext101_32x4dresnext101_64x4dresnext152_32x4dresnext152_64x4dwide_resnet50_2wide_resnet101_2)ShuffleNetV2shufflenet_v2_swishshufflenet_v2_x0_5shufflenet_v2_x0_25shufflenet_v2_x0_33shufflenet_v2_x1_0shufflenet_v2_x1_5shufflenet_v2_x2_0)
SqueezeNetsqueezenet1_0squeezenet1_1)VGGvgg11vgg13vgg16vgg19)3r   r   r   r   r   r   r   r   r    r!   r"   r#   r$   r%   r1   r2   r3   r4   r5   r   r   r   r   r   r   r   r   r   r   r   r   r   r	   r
   r   r   r   r   r.   r/   r0   r   r   r&   r)   r*   r(   r+   r,   r-   r'   N)>r   r   densenetr   r   r   r   r	   r
   r   r   inceptionv3r   r   lenetr   mobilenetv1r   r   mobilenetv2r   r   mobilenetv3r   r   r   r   resnetr   r   r   r   r   r   r   r   r    r!   r"   r#   r$   r%   shufflenetv2r&   r'   r(   r)   r*   r+   r,   r-   
squeezenetr.   r/   r0   vggr1   r2   r3   r4   r5   __all__     ]/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/vision/models/__init__.py<module>rD      sh    &  , 2  2 2     	 	 	 A @ 0 04rB   