RuntimeError：张量a（8）的大小必须与非单维度3上张量b（32）的大小匹配

Question

我更改了以下代码

encoder_h_1 = (Variable(torch.zeros(data.size(0), 256, 8, 8).cuda()),
                Variable(torch.zeros(data.size(0), 256, 8, 8).cuda()))
encoder_h_2 = (Variable(torch.zeros(data.size(0), 512, 4, 4).cuda()),
                Variable(torch.zeros(data.size(0), 512, 4, 4).cuda()))
encoder_h_3 = (Variable(torch.zeros(data.size(0), 512, 2, 2).cuda()),
                Variable(torch.zeros(data.size(0), 512, 2, 2).cuda()))

使用

encoder_h_1 = (Variable(torch.zeros(data.size(0), 256, 32, 32).cuda()),
              Variable(torch.zeros(data.size(0), 256, 32, 32).cuda()))
encoder_h_2 = (Variable(torch.zeros(data.size(0), 512, 16, 16).cuda()),
              Variable(torch.zeros(data.size(0), 512, 16, 16).cuda()))
encoder_h_3 = (Variable(torch.zeros(data.size(0), 1024, 8, 8).cuda()),
               Variable(torch.zeros(data.size(0), 1024, 8, 8).cuda()))
encoder_h_4 = (Variable(torch.zeros(data.size(0), 2048, 4, 4).cuda()),
               Variable(torch.zeros(data.size(0), 2048, 4, 4).cuda()))
encoder_h_5 = (Variable(torch.zeros(data.size(0), 2048, 2, 2).cuda()),
              Variable(torch.zeros(data.size(0), 2048, 2, 2).cuda()))   

我想实现第二个代码。如何摆脱错误？