# Codeblock 7
class DownSample(nn.Module):
    def __init__(self, in_channels, out_channels):  #(1)
        super().__init__()
        
        self.double_conv = DoubleConv(in_channels=in_channels,  #(2)
                                      out_channels=out_channels)
        self.maxpool = nn.MaxPool2d(kernel_size=2, stride=2)    #(3)
    
    def forward(self, x, t):  #(4)
        print(f'original\t\t: {x.size()}')
        print(f'timesteps\t\t: {t.size()}, {t}')
        
        convolved = self.double_conv(x, t)   #(5)
        print(f'\nafter double conv\t: {convolved.size()}')
        
        maxpooled = self.maxpool(convolved)  #(6)
        print(f'after pooling\t\t: {maxpooled.size()}')
        
        return convolved, maxpooled          #(7)