Facebook sync (Dec 2018). (#660)

* Add GpuIndexBinaryFlat
* Add IndexBinaryHNSW
This commit is contained in:
Lucas Hosseini
2018-12-19 17:48:35 +01:00
committed by GitHub
parent 21475fb2f3
commit 323dbf3be3
898 changed files with 279957 additions and 60496 deletions
+234 -119
View File
@@ -33,7 +33,9 @@ IndexBinaryIVF::IndexBinaryIVF(IndexBinary *quantizer, size_t d, size_t nlist)
maintain_direct_map(false),
quantizer(quantizer),
nlist(nlist),
own_fields(false) {
own_fields(false),
clustering_index(nullptr)
{
FAISS_THROW_IF_NOT (d == quantizer->d);
is_trained = quantizer->is_trained && (quantizer->ntotal == nlist);
@@ -48,7 +50,9 @@ IndexBinaryIVF::IndexBinaryIVF()
maintain_direct_map(false),
quantizer(nullptr),
nlist(0),
own_fields(false) {}
own_fields(false),
clustering_index(nullptr)
{}
void IndexBinaryIVF::add(idx_t n, const uint8_t *x) {
add_with_ids(n, x, nullptr);
@@ -323,7 +327,12 @@ void IndexBinaryIVF::train_q1(size_t n, const uint8_t *x, bool verbose) {
IndexFlatL2 index_tmp(d);
clus.train(n, x_f.get(), index_tmp);
if (clustering_index && verbose) {
printf("using clustering_index of dimension %d to do the clustering\n",
clustering_index->d);
}
clus.train(n, x_f.get(), clustering_index ? *clustering_index : index_tmp);
std::unique_ptr<uint8_t[]> x_b(new uint8_t[clus.k * code_size]);
real_to_binary(d * clus.k, clus.centroids.data(), x_b.get());
@@ -336,74 +345,175 @@ void IndexBinaryIVF::train_q1(size_t n, const uint8_t *x, bool verbose) {
namespace {
using idx_t = Index::idx_t;
template<class HammingComputer, bool store_pairs>
void search_knn_hamming_heap(const IndexBinaryIVF& ivf,
size_t nx,
const uint8_t *x,
const long *keys,
int_maxheap_array_t *res,
const IVFSearchParameters *params) {
const size_t k = res->k;
size_t nlistv = 0, ndis = 0;
long nprobe = params ? params->nprobe : ivf.nprobe;
long max_codes = params ? params->max_codes : ivf.max_codes;
struct IVFBinaryScannerL2: BinaryInvertedListScanner {
#pragma omp parallel for reduction(+: nlistv, ndis)
for (size_t i = 0; i < nx; i++) {
const uint8_t *xi = x + i * ivf.code_size;
const long * keysi = keys + i * nprobe;
int32_t * __restrict disi = res->get_val(i);
long * __restrict idxi = res->get_ids(i);
maxheap_heapify(k, disi, idxi);
HammingComputer hc;
size_t code_size;
size_t nscan = 0;
IVFBinaryScannerL2 (size_t code_size): code_size (code_size)
{}
for (size_t ik = 0; ik < nprobe; ik++) {
long key = keysi[ik]; /* select the list */
if (key < 0) {
// not enough centroids for multiprobe
continue;
}
FAISS_THROW_IF_NOT_FMT (
key < (long) ivf.nlist,
"Invalid key=%ld at ik=%ld nlist=%ld\n",
key, ik, ivf.nlist);
nlistv++;
size_t list_size = ivf.invlists->list_size(key);
InvertedLists::ScopedCodes scodes (ivf.invlists, key);
const uint8_t *list_vecs = scodes.get();
const Index::idx_t *ids = store_pairs
? nullptr
: ivf.invlists->get_ids(key);
HammingComputer hc(xi, ivf.code_size);
for (size_t j = 0; j < list_size; j++) {
const uint8_t * yj = list_vecs + ivf.code_size * j;
int32_t disij = hc.hamming(yj);
if (disij < disi[0]) {
maxheap_pop(k, disi, idxi);
long id = store_pairs ? (key << 32 | j) : ids[j];
maxheap_push(k, disi, idxi, disij, id);
}
}
if (ids)
ivf.invlists->release_ids (ids);
nscan += list_size;
if (max_codes && nscan >= max_codes)
break;
void set_query (const uint8_t *query_vector) override {
hc.set (query_vector, code_size);
}
ndis += nscan;
maxheap_reorder(k, disi, idxi);
}
indexIVF_stats.nq += nx;
indexIVF_stats.nlist += nlistv;
indexIVF_stats.ndis += ndis;
idx_t list_no;
void set_list (idx_t list_no, uint8_t /* coarse_dis */) override {
this->list_no = list_no;
}
uint32_t distance_to_code (const uint8_t *code) const override {
return hc.hamming (code);
}
size_t scan_codes (size_t n,
const uint8_t *codes,
const idx_t *ids,
int32_t *simi, idx_t *idxi,
size_t k) const override
{
using C = CMax<int32_t, idx_t>;
size_t nup = 0;
for (size_t j = 0; j < n; j++) {
uint32_t dis = hc.hamming (codes);
if (dis < simi[0]) {
heap_pop<C> (k, simi, idxi);
long id = store_pairs ? (list_no << 32 | j) : ids[j];
heap_push<C> (k, simi, idxi, dis, id);
nup++;
}
codes += code_size;
}
return nup;
}
};
template <bool store_pairs>
BinaryInvertedListScanner *select_IVFBinaryScannerL2 (size_t code_size) {
switch (code_size) {
#define HANDLE_CS(cs) \
case cs: \
return new IVFBinaryScannerL2<HammingComputer ## cs, store_pairs> (cs);
HANDLE_CS(4);
HANDLE_CS(8);
HANDLE_CS(16);
HANDLE_CS(20);
HANDLE_CS(32);
HANDLE_CS(64);
#undef HANDLE_CS
default:
if (code_size % 8 == 0) {
return new IVFBinaryScannerL2<HammingComputerM8,
store_pairs> (code_size);
} else if (code_size % 4 == 0) {
return new IVFBinaryScannerL2<HammingComputerM4,
store_pairs> (code_size);
} else {
return new IVFBinaryScannerL2<HammingComputerDefault,
store_pairs> (code_size);
}
}
}
void search_knn_hamming_heap(const IndexBinaryIVF& ivf,
size_t n,
const uint8_t *x,
idx_t k,
const idx_t *keys,
const int32_t * coarse_dis,
int32_t *distances, idx_t *labels,
bool store_pairs,
const IVFSearchParameters *params)
{
long nprobe = params ? params->nprobe : ivf.nprobe;
long max_codes = params ? params->max_codes : ivf.max_codes;
MetricType metric_type = ivf.metric_type;
// almost verbatim copy from IndexIVF::search_preassigned
size_t nlistv = 0, ndis = 0, nheap = 0;
using HeapForIP = CMin<int32_t, idx_t>;
using HeapForL2 = CMax<int32_t, idx_t>;
#pragma omp parallel if(n > 1) reduction(+: nlistv, ndis, nheap)
{
std::unique_ptr<BinaryInvertedListScanner> scanner
(ivf.get_InvertedListScanner (store_pairs));
#pragma omp for
for (size_t i = 0; i < n; i++) {
const uint8_t *xi = x + i * ivf.code_size;
scanner->set_query(xi);
const long * keysi = keys + i * nprobe;
int32_t * simi = distances + k * i;
long * idxi = labels + k * i;
if (metric_type == METRIC_INNER_PRODUCT) {
heap_heapify<HeapForIP> (k, simi, idxi);
} else {
heap_heapify<HeapForL2> (k, simi, idxi);
}
size_t nscan = 0;
for (size_t ik = 0; ik < nprobe; ik++) {
long key = keysi[ik]; /* select the list */
if (key < 0) {
// not enough centroids for multiprobe
continue;
}
FAISS_THROW_IF_NOT_FMT
(key < (long) ivf.nlist,
"Invalid key=%ld at ik=%ld nlist=%ld\n",
key, ik, ivf.nlist);
scanner->set_list (key, coarse_dis[i * nprobe + ik]);
nlistv++;
size_t list_size = ivf.invlists->list_size(key);
InvertedLists::ScopedCodes scodes (ivf.invlists, key);
const Index::idx_t * ids = store_pairs ? nullptr :
ivf.invlists->get_ids (key);
nheap += scanner->scan_codes (list_size, scodes.get(),
ids, simi, idxi, k);
if (ids) {
ivf.invlists->release_ids (ids);
}
nscan += list_size;
if (max_codes && nscan >= max_codes)
break;
}
ndis += nscan;
if (metric_type == METRIC_INNER_PRODUCT) {
heap_reorder<HeapForIP> (k, simi, idxi);
} else {
heap_reorder<HeapForL2> (k, simi, idxi);
}
} // parallel for
} // parallel
indexIVF_stats.nq += n;
indexIVF_stats.nlist += nlistv;
indexIVF_stats.ndis += ndis;
indexIVF_stats.nheap_updates += nheap;
}
template<class HammingComputer, bool store_pairs>
@@ -484,87 +594,92 @@ void search_knn_hamming_count(const IndexBinaryIVF& ivf,
nres++;
}
}
while (nres < k) {
labels[i * k + nres] = -1;
distances[i * k + nres] = std::numeric_limits<int32_t>::max();
++nres;
}
}
indexIVF_stats.nq += nx;
indexIVF_stats.nlist += nlistv;
indexIVF_stats.ndis += ndis;
}
template<class HammingComputer>
void search_knn_hamming(const IndexBinaryIVF& ivf,
template<bool store_pairs>
void search_knn_hamming_count_1 (
const IndexBinaryIVF& ivf,
size_t nx,
const uint8_t *x,
const long *keys,
int k,
int32_t *distances,
long *labels,
bool store_pairs,
bool use_heap,
const IVFSearchParameters *params) {
if (use_heap) {
int_maxheap_array_t res = {
size_t(nx), size_t(k), labels, distances};
if (store_pairs) {
search_knn_hamming_heap<HammingComputer, true>(
ivf, nx, x, keys, &res, params);
} else {
search_knn_hamming_heap<HammingComputer, false>(
ivf, nx, x, keys, &res, params);
switch (ivf.code_size) {
#define HANDLE_CS(cs) \
case cs: \
search_knn_hamming_count<HammingComputer ## cs, store_pairs>( \
ivf, nx, x, keys, k, distances, labels, params); \
break;
HANDLE_CS(4);
HANDLE_CS(8);
HANDLE_CS(16);
HANDLE_CS(20);
HANDLE_CS(32);
HANDLE_CS(64);
#undef HANDLE_CS
default:
if (ivf.code_size % 8 == 0) {
search_knn_hamming_count<HammingComputerM8, store_pairs>
(ivf, nx, x, keys, k, distances, labels, params);
} else if (ivf.code_size % 4 == 0) {
search_knn_hamming_count<HammingComputerM4, store_pairs>
(ivf, nx, x, keys, k, distances, labels, params);
} else {
search_knn_hamming_count<HammingComputerDefault, store_pairs>
(ivf, nx, x, keys, k, distances, labels, params);
}
break;
}
} else {
if (store_pairs) {
search_knn_hamming_count<HammingComputer, true>(
ivf, nx, x, keys, k, distances, labels, params);
} else {
search_knn_hamming_count<HammingComputer, false>(
ivf, nx, x, keys, k, distances, labels, params);
}
}
}
}
} // namespace
BinaryInvertedListScanner *IndexBinaryIVF::get_InvertedListScanner
(bool store_pairs) const
{
if (store_pairs) {
return select_IVFBinaryScannerL2<true> (code_size);
} else {
return select_IVFBinaryScannerL2<false> (code_size);
}
}
void IndexBinaryIVF::search_preassigned(idx_t n, const uint8_t *x, idx_t k,
const idx_t *idx,
const int32_t * /* coarse_dis */,
const int32_t * coarse_dis,
int32_t *distances, idx_t *labels,
bool store_pairs,
const IVFSearchParameters *params
) const {
switch (code_size) {
#define HANNDLE_CS(cs) \
case cs: \
search_knn_hamming<HammingComputer ## cs>( \
*this, n, x, idx, k, distances, \
labels, store_pairs, use_heap, params); \
break;
HANNDLE_CS(4);
HANNDLE_CS(8);
HANNDLE_CS(16);
HANNDLE_CS(20);
HANNDLE_CS(32);
HANNDLE_CS(64);
#undef HANNDLE_CS
default:
if (code_size % 8 == 0) {
search_knn_hamming<HammingComputerM8>(
*this, n, x, idx, k, distances,
labels, store_pairs, use_heap, params);
} else if (code_size % 4 == 0) {
search_knn_hamming<HammingComputerM4>(
*this, n, x, idx, k, distances,
labels, store_pairs, use_heap, params);
} else {
search_knn_hamming<HammingComputerDefault>(
*this, n, x, idx, k, distances,
labels, store_pairs, use_heap, params);
}
break;
}
if (use_heap) {
search_knn_hamming_heap (*this, n, x, k, idx, coarse_dis,
distances, labels, store_pairs,
params);
} else {
if (store_pairs) {
search_knn_hamming_count_1<true>
(*this, n, x, idx, k, distances, labels, params);
} else {
search_knn_hamming_count_1<false>
(*this, n, x, idx, k, distances, labels, params);
}
}
}
IndexBinaryIVF::~IndexBinaryIVF() {