Why output of torch.cat() is still C channels??

[Johnson-yue]

https://github.com/akanimax/BMSG-GAN/blob/d06316974d1d84bd2077f8c558ebaf9d967205df/sourcecode/MSG_GAN/CustomLayers.py#L342

I think input feature x , the shape of x is (BS, C, H, W) and the shape of y is (BS, 1, H, W) so the output of concate them should be (BS, C+1, H, W), but (BS, C, H, W) in code ?