我正在构建一个去噪自动编码器。我想拥有相同的输入和输出形状图像。

这是我的架构：

input_img = Input(shape=(IMG_HEIGHT, IMG_WIDTH, 1))  

x = Conv2D(32, (3, 3), activation='relu', padding='same')(input_img)
x = MaxPooling2D((2, 2), padding='same')(x)
x = Conv2D(64, (3, 3), activation='relu', padding='same')(x)
encoded = MaxPooling2D((2, 2), padding='same')(x)



x = Conv2D(32, (3, 3), activation='relu', padding='valid')(encoded)
x = UpSampling2D((2, 2))(x)
x = Conv2D(32, (3, 3), activation='relu', padding='same')(x)
x = UpSampling2D((2, 2))(x)
decoded = Conv2D(1, (3, 3), activation='sigmoid', padding='same')(x)


# decodedSize = K.int_shape(decoded)[1:]

# x_size = K.int_shape(input_img)
# decoded = Reshape(decodedSize, input_shape=decodedSize)(decoded)


autoencoder = Model(input_img, decoded)
autoencoder.compile(optimizer='adadelta', loss='binary_crossentropy')

我的输入形状是：1169x827

这是 Keras 输出：

Model: "model_6"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_7 (InputLayer)         [(None, 1169, 827, 1)]    0         
_________________________________________________________________
conv2d_30 (Conv2D)           (None, 1169, 827, 32)     320       
_________________________________________________________________
max_pooling2d_12 (MaxPooling (None, 585, 414, 32)      0         
_________________________________________________________________
conv2d_31 (Conv2D)           (None, 585, 414, 64)      18496     
_________________________________________________________________
max_pooling2d_13 (MaxPooling (None, 293, 207, 64)      0         
_________________________________________________________________
conv2d_32 (Conv2D)           (None, 291, 205, 32)      18464     
_________________________________________________________________
up_sampling2d_12 (UpSampling (None, 582, 410, 32)      0         
_________________________________________________________________
conv2d_33 (Conv2D)           (None, 582, 410, 32)      9248      
_________________________________________________________________
up_sampling2d_13 (UpSampling (None, 1164, 820, 32)     0         
_________________________________________________________________
conv2d_34 (Conv2D)           (None, 1162, 818, 1)      289       
===============================================================

我怎样才能有相同的输入和输出形状？