# Codeblock 13 Output
original             : torch.Size([1, 3, 224, 224])
after first_conv     : torch.Size([1, 16, 112, 112])
after bottleneck #0  : torch.Size([1, 16, 112, 112])
after bottleneck #1  : torch.Size([1, 24, 56, 56])
after bottleneck #2  : torch.Size([1, 24, 56, 56])
after bottleneck #3  : torch.Size([1, 40, 28, 28])
after bottleneck #4  : torch.Size([1, 40, 28, 28])
after bottleneck #5  : torch.Size([1, 40, 28, 28])
after bottleneck #6  : torch.Size([1, 80, 14, 14])
after bottleneck #7  : torch.Size([1, 80, 14, 14])
after bottleneck #8  : torch.Size([1, 80, 14, 14])
after bottleneck #9  : torch.Size([1, 80, 14, 14])
after bottleneck #10 : torch.Size([1, 112, 14, 14])
after bottleneck #11 : torch.Size([1, 112, 14, 14])
after bottleneck #12 : torch.Size([1, 160, 7, 7])
after bottleneck #13 : torch.Size([1, 160, 7, 7])
after bottleneck #14 : torch.Size([1, 160, 7, 7])
after second_conv    : torch.Size([1, 960, 7, 7])
after avgpool        : torch.Size([1, 960, 1, 1])
after third_conv     : torch.Size([1, 1280, 1, 1])
after dropout        : torch.Size([1, 1280, 1, 1])
after output         : torch.Size([1, 1000, 1, 1])
after flatten        : torch.Size([1, 1000])