faiss/tutorial/cpp/1-Flat.cpp

102 lines
2.3 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 <cstdio>
#include <cstdlib>
#include <random>
#include <faiss/IndexFlat.h>
// 64-bit int
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[d * nb];
float* xq = new float[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.;
}
faiss::IndexFlatL2 index(d); // call constructor
printf("is_trained = %s\n", index.is_trained ? "true" : "false");
index.add(nb, xb); // add vectors to the index
printf("ntotal = %zd\n", index.ntotal);
int k = 4;
{ // sanity check: search 5 first vectors of xb
idx_t* I = new idx_t[k * 5];
float* D = new float[k * 5];
index.search(5, xb, k, D, I);
// print results
printf("I=\n");
for (int i = 0; i < 5; i++) {
for (int j = 0; j < k; j++)
printf("%5zd ", I[i * k + j]);
printf("\n");
}
printf("D=\n");
for (int i = 0; i < 5; i++) {
for (int j = 0; j < k; j++)
printf("%7g ", D[i * k + j]);
printf("\n");
}
delete[] I;
delete[] D;
}
{ // search xq
idx_t* I = new idx_t[k * nq];
float* D = new float[k * nq];
index.search(nq, xq, k, D, I);
// print results
printf("I (5 first results)=\n");
for (int i = 0; i < 5; i++) {
for (int j = 0; j < k; j++)
printf("%5zd ", I[i * k + j]);
printf("\n");
}
printf("D (5 last results)=\n");
for (int i = nq - 5; i < nq; i++) {
for (int j = 0; j < k; j++)
printf("%5f ", D[i * k + j]);
printf("\n");
}
delete[] I;
delete[] D;
}
delete[] xb;
delete[] xq;
return 0;
}