This repository contains a python wrapper for the K Nearest Neighbor CUDA library. The wrapper is written using Pybind11.

Please modify the path for nvcc, cuda, and install pybind11 in compile.sh to make sure it can compile correctly. The program is tested under python 3.5.

./compile.sh

Once you build the wrapper, run

python example.py
ref_num :  16384
query_num :  40960
dim :  3
num of neighbours :  16
mean time over 100 iter :  0.2607978343963623

In python, after you import knn_util, you can access the knn function.

Both ref_data and query_data should be 2 dimensional numpy arraies with shape (N x dim) and M x dim. The function will return two outputs: dist with shape (M x K) and inds with shape (M x K)