Hello,

I now have two point sets (tensor) A and B that shape like

A.size() >>(50, 3) , example: [ [0, 0, 0], [0, 1, 2], …, [1, 1, 1]]

B.size() >>(10, 3)

where the first dimension stands for number of points and the second dim stands for coordinates (x,y,z)

To some extent, the question could also be simplified into " Finding common elements between two tensors ". Is there a quick way to do this without nested loop like :

```
def is_corr(a, b):
corr = []
index = []
for idx, ele_b in enumerate(b):
cur_b = ele_b
for ids, ele_a in enumerate(a):
if torch.equal(ele_a, cur_b):
corr.append(ele_a)
index.append(ids)
return corr, index
```

Thanks