Created by: 1286667673

您好：我现在有个问题想请教您 我的输入图像尺寸为：(1, 1, 432, 768) 标签尺寸为：(1, 1, 108, 192) 输入图像经过以下网络计算，计算后的输入图像的尺寸和标签尺寸应不应该一样呢？经过两次池化我感觉是除以4了？为什么老报错elementwise_sub error. def conv2d_neural_network(self,img): # 第一个卷积-池化层 S_conv_1 = fluid.layers.conv2d(input=img,filter_size=5,num_filters=24,act="relu") S_conv_pool_1 = fluid.layers.pool2d(input=S_conv_1, pool_size=2, pool_stride=2) # 第二个卷积-池化层 S_conv_2 = fluid.layers.conv2d(input=S_conv_pool_1,filter_size=3,num_filters=48,act="relu") S_conv_pool_2 = fluid.layers.pool2d(input=S_conv_2, pool_size=2, pool_stride=2) # 第三个卷积 S_conv_pool_3 = fluid.layers.conv2d(input =S_conv_pool_2,num_filters=24,filter_size=3,act="relu") # 第四个卷积
S_conv_pool_4 = fluid.layers.conv2d(input =S_conv_pool_3,num_filters=12,filter_size=3,act="relu") y_predict = fluid.layers.conv2d(input =S_conv_pool_4,num_filters=1,filter_size=1,stride=1) return y_predict