Is there some reasons why you used data.anchor_set?

[SeongJinAhn]

In utils.py, preselect_anchor is implemented as following.

def preselect_anchor(data, layer_num=1, anchor_num=32, anchor_size_num=4, device='cpu'):
data.anchor_size_num = anchor_size_num
data.anchor_set = []
anchor_num_per_size = anchor_num//anchor_size_num
for i in range(anchor_size_num):
anchor_size = 2**(i+1)-1
anchors = np.random.choice(data.num_nodes, size=(layer_num,anchor_num_per_size,anchor_size), replace=True)
data.anchor_set.append(anchors)
data.anchor_set_indicator = np.zeros((layer_num, anchor_num, data.num_nodes), dtype=int)

anchorset_id = get_random_anchorset(data.num_nodes,c=1)
data.dists_max, data.dists_argmax = get_dist_max(anchorset_id, data.dists, device)

These but other code uses data.dists_max, dists_argmax , so anchorset_id is used to make them.
But data.anchor_set are not used in other codes..

Do you have reasons you implemented them?