The implementation of Isotropic architecture

[buptxiaofeng]

Hi, thanks for sharing this impressive work. The paper mentioned two architectures, Isotropic one and pyramid one. I noticed that in the code, this is a reduce_ratios, and this reduce_ratios are used by a avg_pooling operation to calculate before building the graph. I am wondering whether all I need to do is setting this reduce_ratios to [1,1,1,1] if I want to implement the Isotropic architecture. Thanks.

self.n_blocks = sum(blocks) channels = opt.channels reduce_ratios = [4, 2, 1, 1] dpr = [x.item() for x in torch.linspace(0, drop_path, self.n_blocks)] num_knn = [int(x.item()) for x in torch.linspace(k, k, self.n_blocks)]