# Codeblock 8b
    def forward(self, x):
        x = self.first_conv(x)
        print(f"after first_conv\t\t: {x.shape}")
        
        x = self.depthwise_sep_conv0(x)
        print(f"after depthwise_sep_conv0\t: {x.shape}")
        
        x = self.depthwise_sep_conv1(x)
        print(f"after depthwise_sep_conv1\t: {x.shape}")
        
        x = self.depthwise_sep_conv2(x)
        print(f"after depthwise_sep_conv2\t: {x.shape}")
        
        x = self.depthwise_sep_conv3(x)
        print(f"after depthwise_sep_conv3\t: {x.shape}")
        
        x = self.depthwise_sep_conv4(x)
        print(f"after depthwise_sep_conv4\t: {x.shape}")
        
        x = self.depthwise_sep_conv5(x)
        print(f"after depthwise_sep_conv5\t: {x.shape}")
        
        for i, layer in enumerate(self.depthwise_sep_conv6):
            x = layer(x)
            print(f"after depthwise_sep_conv6 #{i}\t: {x.shape}")
        
        x = self.depthwise_sep_conv7(x)
        print(f"after depthwise_sep_conv7\t: {x.shape}")
        
        x = self.depthwise_sep_conv8(x)
        print(f"after depthwise_sep_conv8\t: {x.shape}")
        
        x = self.avgpool(x)
        print(f"after avgpool\t\t\t: {x.shape}")
        
        x = torch.flatten(x, start_dim=1)
        print(f"after flatten\t\t\t: {x.shape}")
        
        x = self.fc(x)
        print(f"after fc\t\t\t: {x.shape}")
        
        x = self.softmax(x)
        print(f"after softmax\t\t\t: {x.shape}")
        
        return x