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däZdddäZdS )Ú N)┌*Ú Ú Fc C s@ | |||ddŹ|â}t ddŹ|â}tâ |â}|r8||fS |S dS )z1Convolution layer: Ck=Convolution-BatchNorm-PReLU┌same)┌kernel_size┌strides┌paddingg Ó?)┌momentumN)┌BatchNormalization┌PReLU)┌Conv┌layer_input┌filtersr r ┌residual┌dr┌dę r ˙../src/utils/layers.py┌conv s
r c C s$ ||dŹ|â}t | |||ddŹ}|S )z?Deconvolution layer: CDk=Upsampling-Convolution-BatchNorm-PReLU)┌sizer )r r )r )r ┌
UpSamplingr
r r r ┌ur r r ┌deconv s r Ú c C sP t | |||ddŹ}t | ||||ddŹ\}}| ||dddŹ|â}tâ ||gâ}|S )zULayers for 2D/3D network used during downsampling: CD=Convolution-BatchNorm-LeakyReLUr )r r T)r r r r )r r r )r ┌Add)r r
r r r r r r r r ┌encoder s
r c C sJ t | ||dddŹ}t| |||||dŹ}tâ ||gâ}t | |||ddŹ}|S )z/Layers for 2D/3D network used during upsamplingr )r r )r r ┌Concatenate)r r r
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skip_inputr r r r r r r ┌decoder s
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Ź|â}|S )NÚ r r r Ú )r r Ú )r r )r r r ┌
activation)r r r )r r r )r r )r r )┌len┌shape┌Conv3D┌UpSampling3D┌Conv2D┌UpSampling2Dr r )┌xZgf┌ nchannels┌map_activationr r r r ┌d1┌d2┌d3Zd4Zd5Zd6Zd7┌u1┌u2┌u3┌u4┌u5Zu6┌u7r r r ┌encoder_decoder% s4 r5 )r r F)r r )r r )r r )r r N)┌
tensorflow┌tfZtensorflow.keras.layersr r r r r5 r r r r ┌<module> s