Recently i research all kinds of distance calculation methods,like “Euclidean Distance”," Manhattan Distance"
i know a litte ways
import torch
import torch.nn.functional as F
a= torch.arange(2,5).view(1,4).float()
print(a)
b=torch.tensor([[2,2],[1,2]]).view(1,4).float()
c=F.pairwise_distance(a,b,p=2)
print(c)
when “p” get 2 ,it caculates Euclidean Distance,when “p"get 1,it caculates Manhattan Distance,
but i want know is there any function can quicky caculate " Hamming Distance” " Jaccard Distance" " Mahalanobis distance" ?