195 lines
5.0 KiB
C++
195 lines
5.0 KiB
C++
/**
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* Copyright (c) Facebook, Inc. and its affiliates.
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*
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* This source code is licensed under the MIT license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#include <cstdio>
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#include <cstdlib>
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#include <memory>
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#include <random>
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#include <vector>
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#include <gtest/gtest.h>
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#include <faiss/IVFlib.h>
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#include <faiss/IndexIVF.h>
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#include <faiss/VectorTransform.h>
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#include <faiss/index_factory.h>
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namespace {
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typedef faiss::Index::idx_t idx_t;
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/*************************************************************
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* Test utils
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*************************************************************/
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// dimension of the vectors to index
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int d = 64;
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// size of the database we plan to index
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size_t nb = 8000;
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// nb of queries
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size_t nq = 200;
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std::mt19937 rng;
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std::vector<float> make_data(size_t n) {
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std::vector<float> database(n * d);
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std::uniform_real_distribution<> distrib;
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for (size_t i = 0; i < n * d; i++) {
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database[i] = distrib(rng);
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}
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return database;
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}
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std::unique_ptr<faiss::Index> make_index(
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const char* index_type,
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const std::vector<float>& x) {
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auto index =
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std::unique_ptr<faiss::Index>(faiss::index_factory(d, index_type));
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index->train(nb, x.data());
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index->add(nb, x.data());
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return index;
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}
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/*************************************************************
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* Test functions for a given index type
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*************************************************************/
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bool test_search_centroid(const char* index_key) {
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std::vector<float> xb = make_data(nb); // database vectors
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auto index = make_index(index_key, xb);
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/* First test: find the centroids associated to the database
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vectors and make sure that each vector does indeed appear in
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the inverted list corresponding to its centroid */
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std::vector<idx_t> centroid_ids(nb);
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faiss::ivflib::search_centroid(
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index.get(), xb.data(), nb, centroid_ids.data());
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const faiss::IndexIVF* ivf = faiss::ivflib::extract_index_ivf(index.get());
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for (int i = 0; i < nb; i++) {
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bool found = false;
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int list_no = centroid_ids[i];
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int list_size = ivf->invlists->list_size(list_no);
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auto* list = ivf->invlists->get_ids(list_no);
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for (int j = 0; j < list_size; j++) {
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if (list[j] == i) {
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found = true;
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break;
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}
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}
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if (!found)
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return false;
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}
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return true;
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}
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int test_search_and_return_centroids(const char* index_key) {
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std::vector<float> xb = make_data(nb); // database vectors
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auto index = make_index(index_key, xb);
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std::vector<idx_t> centroid_ids(nb);
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faiss::ivflib::search_centroid(
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index.get(), xb.data(), nb, centroid_ids.data());
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faiss::IndexIVF* ivf = faiss::ivflib::extract_index_ivf(index.get());
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ivf->nprobe = 4;
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std::vector<float> xq = make_data(nq); // database vectors
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int k = 5;
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// compute a reference search result
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std::vector<idx_t> refI(nq * k);
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std::vector<float> refD(nq * k);
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index->search(nq, xq.data(), k, refD.data(), refI.data());
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// compute search result
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std::vector<idx_t> newI(nq * k);
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std::vector<float> newD(nq * k);
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std::vector<idx_t> query_centroid_ids(nq);
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std::vector<idx_t> result_centroid_ids(nq * k);
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faiss::ivflib::search_and_return_centroids(
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index.get(),
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nq,
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xq.data(),
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k,
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newD.data(),
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newI.data(),
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query_centroid_ids.data(),
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result_centroid_ids.data());
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// first verify that we have the same result as the standard search
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if (newI != refI) {
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return 1;
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}
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// then check if the result ids are indeed in the inverted list
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// they are supposed to be in
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for (int i = 0; i < nq * k; i++) {
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int list_no = result_centroid_ids[i];
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int result_no = newI[i];
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if (result_no < 0)
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continue;
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bool found = false;
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int list_size = ivf->invlists->list_size(list_no);
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auto* list = ivf->invlists->get_ids(list_no);
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for (int j = 0; j < list_size; j++) {
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if (list[j] == result_no) {
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found = true;
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break;
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}
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}
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if (!found)
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return 2;
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}
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return 0;
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}
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} // namespace
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/*************************************************************
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* Test entry points
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*************************************************************/
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TEST(test_search_centroid, IVFFlat) {
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bool ok = test_search_centroid("IVF32,Flat");
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EXPECT_TRUE(ok);
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}
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TEST(test_search_centroid, PCAIVFFlat) {
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bool ok = test_search_centroid("PCA16,IVF32,Flat");
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EXPECT_TRUE(ok);
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}
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TEST(test_search_and_return_centroids, IVFFlat) {
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int err = test_search_and_return_centroids("IVF32,Flat");
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EXPECT_NE(err, 1);
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EXPECT_NE(err, 2);
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}
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TEST(test_search_and_return_centroids, PCAIVFFlat) {
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int err = test_search_and_return_centroids("PCA16,IVF32,Flat");
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EXPECT_NE(err, 1);
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EXPECT_NE(err, 2);
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}
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