I just try python version of ts-ss similarity but found we cannot produce similarity in bulk for matrices of v1(m x n) and v2(m x k).

[aadityachapagain]

It need vectorization to support similarity measure for large matrices in bulk.
Current approch is quite slow.

[aadityachapagain]

Hello ,
I just create a pull request containing code which user numpy for vectorized similarity calculation.
There already was a code for vectorized calculation using torch. but the main point here is we dont need torch for such a small operation which can be easily done by numpy in much optimized fashion.
Where if we need tensor of that similarity matrices we can easily convert it into either torch tensor or tensorflow entity.

I hope you understand.
Thanks