Namespace faiss::simd_result_handlers

namespace simd_result_handlers

Functions

template<class C, bool W, class Consumer, class ...Types>
void dispatch_SIMDResultHandler_fixedCW(SIMDResultHandler &res, Consumer &consumer, Types... args)
template<class C, class Consumer, class ...Types>
void dispatch_SIMDResultHandler_fixedC(SIMDResultHandler &res, Consumer &consumer, Types... args)
template<class Consumer, class ...Types>
void dispatch_SIMDResultHandler(SIMDResultHandler &res, Consumer &consumer, Types... args)
struct DummyResultHandler : public faiss::SIMDResultHandler
#include <simd_result_handlers.h>

Dummy structure that just computes a chqecksum on results (to avoid the computation to be optimized away)

Public Functions

inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void set_block_origin(size_t, size_t) final

set the sub-matrix that is being computed

inline ~DummyResultHandler()

Public Members

size_t cs = 0
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
struct StoreResultHandler : public faiss::SIMDResultHandler
#include <simd_result_handlers.h>

memorize results in a nq-by-nb matrix.

j0 is the current upper-left block of the matrix

Public Functions

inline StoreResultHandler(uint16_t *data, size_t ld)
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

Public Members

uint16_t *data
size_t ld
size_t i0 = 0
size_t j0 = 0
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<int NQ, int BB>
struct FixedStorageHandler : public faiss::SIMDResultHandler
#include <simd_result_handlers.h>

stores results in fixed-size matrix.

Public Functions

inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

template<class OtherResultHandler>
inline void to_other_handler(OtherResultHandler &other) const
inline virtual ~FixedStorageHandler()

Public Members

simd16uint16 dis[NQ][BB]
int i0 = 0
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<class C, bool with_id_map>
struct ResultHandlerCompare : public faiss::SIMDResultHandlerToFloat
#include <simd_result_handlers.h>

Result handler that compares distances to check if they need to be kept

Subclassed by faiss::simd_result_handlers::RangeHandler< C, false >

Public Types

using TI = typename C::TI

Public Functions

inline ResultHandlerCompare(size_t nq, size_t ntotal, const IDSelector *sel_in)
inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

inline virtual ~ResultHandlerCompare()
inline virtual void begin(const float *norms)
inline virtual void end()
virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) = 0

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

Public Members

bool disable = false
int64_t i0 = 0
int64_t j0 = 0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<class C, bool with_id_map = false>
struct SingleResultHandler : public faiss::simd_result_handlers::ResultHandlerCompare<C, false>
#include <simd_result_handlers.h>

Special version for k=1

Public Types

using T = typename C::T
using TI = typename C::TI
using RHC = ResultHandlerCompare<C, with_id_map>

Public Functions

inline SingleResultHandler(size_t nq, size_t ntotal, float *dis, int64_t *ids, const IDSelector *sel_in)
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void end()
inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

inline virtual void begin(const float *norms)

Public Members

std::vector<int16_t> idis
float *dis
int64_t *ids
bool disable
int64_t i0
int64_t j0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<class C, bool with_id_map = false>
struct HeapHandler : public faiss::simd_result_handlers::ResultHandlerCompare<C, false>
#include <simd_result_handlers.h>

Structure that collects results in a min- or max-heap

Public Types

using T = typename C::T
using TI = typename C::TI
using RHC = ResultHandlerCompare<C, with_id_map>

Public Functions

inline HeapHandler(size_t nq, size_t ntotal, int64_t k, float *dis, int64_t *ids, const IDSelector *sel_in)
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void end() override
inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

inline virtual void begin(const float *norms)

Public Members

std::vector<uint16_t> idis
std::vector<TI> iids
float *dis
int64_t *ids
int64_t k
bool disable
int64_t i0
int64_t j0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<class C, bool with_id_map = false>
struct ReservoirHandler : public faiss::simd_result_handlers::ResultHandlerCompare<C, false>
#include <simd_result_handlers.h>

Simple top-N implementation using a reservoir.

Results are stored when they are below the threshold until the capacity is reached. Then a partition sort is used to update the threshold. Handler built from several ReservoirTopN (one per query)

Public Types

using T = typename C::T
using TI = typename C::TI
using RHC = ResultHandlerCompare<C, with_id_map>

Public Functions

inline ReservoirHandler(size_t nq, size_t ntotal, size_t k, size_t cap, float *dis, int64_t *ids, const IDSelector *sel_in)
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void end() override
inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

inline virtual void begin(const float *norms)

Public Members

size_t capacity
float *dis
int64_t *ids
std::vector<TI> all_ids
AlignedTable<T> all_vals
std::vector<ReservoirTopN<C>> reservoirs
bool disable
int64_t i0
int64_t j0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
template<class C, bool with_id_map = false>
struct RangeHandler : public faiss::simd_result_handlers::ResultHandlerCompare<C, false>
#include <simd_result_handlers.h>

Result handler for range search. The difficulty is that the range distances have to be scaled using the scaler.

Public Types

using T = typename C::T
using TI = typename C::TI
using RHC = ResultHandlerCompare<C, with_id_map>

Public Functions

inline RangeHandler(RangeSearchResult &rres, float radius, size_t ntotal, const IDSelector *sel_in)
inline virtual void begin(const float *norms) override
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void end() override
inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

Public Members

RangeSearchResult &rres
float radius
std::vector<uint16_t> thresholds
std::vector<size_t> n_per_query
size_t q0 = 0
std::vector<Triplet> triplets
bool disable
int64_t i0
int64_t j0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false
struct Triplet

Public Members

idx_t q
idx_t b
uint16_t dis
template<class C, bool with_id_map = false>
struct PartialRangeHandler : public faiss::simd_result_handlers::RangeHandler<C, false>

Public Types

using T = typename C::T
using TI = typename C::TI
using RHC = RangeHandler<C, with_id_map>

Public Functions

inline PartialRangeHandler(RangeSearchPartialResult &pres, float radius, size_t ntotal, size_t q0, size_t q1, const IDSelector *sel_in)
inline void shift_n_per_query()
inline virtual void end() override
inline virtual void begin(const float *norms) override
inline virtual void handle(size_t q, size_t b, simd16uint16 d0, simd16uint16 d1) final

called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.

inline virtual void set_block_origin(size_t i0_in, size_t j0_in) final

set the sub-matrix that is being computed

inline void adjust_with_origin(size_t &q, simd16uint16 &d0, simd16uint16 &d1)
inline int64_t adjust_id(size_t b, size_t j)
inline uint32_t get_lt_mask(uint16_t thr, size_t b, simd16uint16 d0, simd16uint16 d1)

return binary mask of elements below thr in (d0, d1) inverse_test returns elements above

Public Members

RangeSearchPartialResult &pres
size_t q0
std::vector<Triplet> triplets
std::vector<size_t> n_per_query
RangeSearchResult &rres
float radius
std::vector<uint16_t> thresholds
bool disable = false
int64_t i0 = 0
int64_t j0 = 0
const IDSelector *sel
size_t nq
size_t ntotal
const idx_t *id_map = nullptr

these fields are used mainly for the IVF variants (with_id_map=true)

const int *q_map = nullptr
const uint16_t *dbias = nullptr
const float *normalizers = nullptr
bool is_CMax = false
uint8_t sizeof_ids = 0
bool with_fields = false