faiss/tutorial/cpp/8-PQFastScanRefine.cpp

85 lines
2.0 KiB
C++

/*
* Copyright (c) Meta Platforms, Inc. and affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <random>
#include <faiss/IndexPQFastScan.h>
#include <faiss/IndexRefine.h>
using idx_t = faiss::idx_t;
int main() {
int d = 64; // dimension
int nb = 100000; // database size
int nq = 10000; // nb of queries
std::mt19937 rng;
std::uniform_real_distribution<> distrib;
float* xb = new float[(int)(d * nb)];
float* xq = new float[(int)(d * nq)];
for (int i = 0; i < nb; i++) {
for (int j = 0; j < d; j++) {
xb[d * i + j] = distrib(rng);
}
xb[d * i] += i / 1000.;
}
for (int i = 0; i < nq; i++) {
for (int j = 0; j < d; j++) {
xq[d * i + j] = distrib(rng);
}
xq[d * i] += i / 1000.;
}
int m = 8;
int n_bit = 4;
faiss::IndexPQFastScan index(d, m, n_bit);
faiss::IndexRefineFlat index_refine(&index);
// refine index after PQFastScan
printf("Index is trained? %s\n",
index_refine.is_trained ? "true" : "false");
index_refine.train(nb, xb);
printf("Index is trained? %s\n",
index_refine.is_trained ? "true" : "false");
index_refine.add(nb, xb);
int k = 4;
{ // search xq
idx_t* I = new idx_t[(int)(k * nq)];
float* D = new float[(int)(k * nq)];
float k_factor = 3;
faiss::IndexRefineSearchParameters* params =
new faiss::IndexRefineSearchParameters();
params->k_factor = k_factor;
index_refine.search(nq, xq, k, D, I, params);
printf("I=\n");
for (int i = nq - 5; i < nq; i++) {
for (int j = 0; j < k; j++) {
printf("%5zd ", I[i * k + j]);
}
printf("\n");
}
delete[] I;
delete[] D;
delete params;
}
delete[] xb;
delete[] xq;
return 0;
}