# Does bicubic downsampling in PyTorch internally involve anti-aliasing?

Does bicubic downsampling in PyTorch torch.nn.functional.interpolate internally involve anti-aliasing? If not, how can we avoid aliasing when direct using bicubic downsample?

In Matlab, I know one can use imresize to downscale an image (use bicubic as default) and setting 'anitaliasing=true' to avoid aliasing. However, there is no similar option in torch.functional.interpolate(mode='bicubic'). I can't find out more details from the source code. Does anybody know that? Many thanks.