Draken007's picture
Upload 7228 files
2a0bc63 verified
/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
// -*- C++ -*-
// This file describes the C++-scripting language bridge for Python (and formerly Lua).
// It contains mainly includes and a few macros. There are
// 2 preprocessor macros of interest:
// SWIGPYTHON: Python-specific code
// GPU_WRAPPER: also compile interfaces for GPU.
%module swigfaiss;
// NOTE: While parsing the headers to generate the interface, SWIG does not know
// about `_MSC_VER`.
// TODO: Remove the need for this hack.
#ifdef SWIGWIN
#define _MSC_VER
%include <windows.i>
#endif // SWIGWIN
// fbode SWIG fails on warnings, so make them non fatal
#pragma SWIG nowarn=321
#pragma SWIG nowarn=403
#pragma SWIG nowarn=325
#pragma SWIG nowarn=389
#pragma SWIG nowarn=341
#pragma SWIG nowarn=512
#pragma SWIG nowarn=362
%include <stdint.i>
typedef uint64_t size_t;
#define __restrict
/*******************************************************************
* Copied verbatim to wrapper. Contains the C++-visible includes, and
* the language includes for their respective matrix libraries.
*******************************************************************/
%{
#include <stdint.h>
#include <omp.h>
#ifdef SWIGPYTHON
#undef popcount64
#define SWIG_FILE_WITH_INIT
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <numpy/arrayobject.h>
#endif
#include <faiss/IndexFlat.h>
#include <faiss/VectorTransform.h>
#include <faiss/IndexPreTransform.h>
#include <faiss/IndexLSH.h>
#include <faiss/IndexPQ.h>
#include <faiss/IndexAdditiveQuantizer.h>
#include <faiss/IndexIVF.h>
#include <faiss/IndexIVFPQ.h>
#include <faiss/Index2Layer.h>
#include <faiss/IndexIVFPQR.h>
#include <faiss/IndexIVFFlat.h>
#include <faiss/IndexIVFIndependentQuantizer.h>
#include <faiss/IndexFastScan.h>
#include <faiss/IndexAdditiveQuantizerFastScan.h>
#include <faiss/IndexPQFastScan.h>
#include <faiss/utils/simdlib.h>
#include <faiss/impl/simd_result_handlers.h>
#include <faiss/IndexIVFFastScan.h>
#include <faiss/IndexIVFAdditiveQuantizerFastScan.h>
#include <faiss/IndexIVFPQFastScan.h>
#include <faiss/utils/quantize_lut.h>
#include <faiss/IndexScalarQuantizer.h>
#include <faiss/IndexIVFAdditiveQuantizer.h>
#include <faiss/IndexIVFSpectralHash.h>
#include <faiss/impl/ThreadedIndex.h>
#include <faiss/IndexShards.h>
#include <faiss/IndexShardsIVF.h>
#include <faiss/IndexReplicas.h>
#include <faiss/impl/HNSW.h>
#include <faiss/IndexHNSW.h>
#include <faiss/impl/kmeans1d.h>
#include <faiss/impl/NNDescent.h>
#include <faiss/IndexNNDescent.h>
#include <faiss/impl/NSG.h>
#include <faiss/IndexNSG.h>
#include <faiss/MetaIndexes.h>
#include <faiss/IndexIDMap.h>
#include <faiss/IndexRefine.h>
#include <faiss/IndexRowwiseMinMax.h>
#include <faiss/impl/FaissAssert.h>
#include <faiss/IndexBinaryFlat.h>
#include <faiss/IndexBinaryIVF.h>
#include <faiss/IndexBinaryFromFloat.h>
#include <faiss/IndexBinaryHNSW.h>
#include <faiss/IndexBinaryHash.h>
#include <faiss/impl/io.h>
#include <faiss/index_io.h>
#include <faiss/clone_index.h>
#include <faiss/IVFlib.h>
#include <faiss/utils/utils.h>
#include <faiss/utils/sorting.h>
#include <faiss/utils/distances.h>
#include <faiss/utils/extra_distances.h>
#include <faiss/utils/random.h>
#include <faiss/utils/Heap.h>
#include <faiss/utils/AlignedTable.h>
#include <faiss/utils/partitioning.h>
#include <faiss/impl/AuxIndexStructures.h>
#include <faiss/impl/IDSelector.h>
#include <faiss/impl/DistanceComputer.h>
#include <faiss/impl/AdditiveQuantizer.h>
#include <faiss/impl/ResidualQuantizer.h>
#include <faiss/impl/residual_quantizer_encode_steps.h>
#include <faiss/impl/LocalSearchQuantizer.h>
#include <faiss/impl/ProductAdditiveQuantizer.h>
#include <faiss/impl/CodePacker.h>
#include <faiss/invlists/BlockInvertedLists.h>
#ifndef _MSC_VER
#include <faiss/invlists/OnDiskInvertedLists.h>
#endif // !_MSC_VER
#include <faiss/Clustering.h>
#include <faiss/utils/hamming.h>
#include <faiss/utils/hamming_distance/common.h>
#include <faiss/AutoTune.h>
#include <faiss/MatrixStats.h>
#include <faiss/index_factory.h>
#include <faiss/impl/lattice_Zn.h>
#include <faiss/IndexLattice.h>
%}
/********************************************************
* GIL manipulation and exception handling
********************************************************/
#ifdef SWIGPYTHON
// %catches(faiss::FaissException);
// Python-specific: release GIL by default for all functions
%exception {
Py_BEGIN_ALLOW_THREADS
try {
$action
} catch(faiss::FaissException & e) {
PyEval_RestoreThread(_save);
if (PyErr_Occurred()) {
// some previous code already set the error type.
} else {
PyErr_SetString(PyExc_RuntimeError, e.what());
}
SWIG_fail;
} catch(std::bad_alloc & ba) {
PyEval_RestoreThread(_save);
PyErr_SetString(PyExc_MemoryError, "std::bad_alloc");
SWIG_fail;
} catch(const std::exception& ex) {
PyEval_RestoreThread(_save);
std::string what = std::string("C++ exception ") + ex.what();
PyErr_SetString(PyExc_RuntimeError, what.c_str());
SWIG_fail;
}
Py_END_ALLOW_THREADS
}
#endif
/*******************************************************************
* Types of vectors we want to manipulate at the scripting language
* level.
*******************************************************************/
// simplified interface for vector
namespace std {
template<class T>
class vector {
public:
vector();
void push_back(T);
void clear();
T * data();
size_t size();
T at (size_t n) const;
T & operator [] (size_t n);
void resize (size_t n);
void swap (vector<T> & other);
};
};
%include <std_string.i>
%include <std_pair.i>
%include <std_map.i>
%include <std_shared_ptr.i>
// primitive array types
%template(Float32Vector) std::vector<float>;
%template(Float64Vector) std::vector<double>;
%template(Int8Vector) std::vector<int8_t>;
%template(Int16Vector) std::vector<int16_t>;
%template(Int32Vector) std::vector<int32_t>;
%template(Int64Vector) std::vector<int64_t>;
%template(UInt8Vector) std::vector<uint8_t>;
%template(UInt16Vector) std::vector<uint16_t>;
%template(UInt32Vector) std::vector<uint32_t>;
%template(UInt64Vector) std::vector<uint64_t>;
%template(Float32VectorVector) std::vector<std::vector<float> >;
%template(UInt8VectorVector) std::vector<std::vector<uint8_t> >;
%template(Int32VectorVector) std::vector<std::vector<int32_t> >;
%template(Int64VectorVector) std::vector<std::vector<int64_t> >;
%template(VectorTransformVector) std::vector<faiss::VectorTransform*>;
%template(OperatingPointVector) std::vector<faiss::OperatingPoint>;
%template(InvertedListsPtrVector) std::vector<faiss::InvertedLists*>;
%template(RepeatVector) std::vector<faiss::Repeat>;
%template(ClusteringIterationStatsVector) std::vector<faiss::ClusteringIterationStats>;
%template(ParameterRangeVector) std::vector<faiss::ParameterRange>;
#ifndef SWIGWIN
%template(OnDiskOneListVector) std::vector<faiss::OnDiskOneList>;
#endif // !SWIGWIN
#ifdef GPU_WRAPPER
%template(GpuResourcesVector) std::vector<faiss::gpu::GpuResourcesProvider*>;
#endif
// produces an error on the Mac
%ignore faiss::hamming;
/*******************************************************************
* Parse headers
*******************************************************************/
%include <faiss/impl/platform_macros.h>
%ignore *::cmp;
%include <faiss/utils/ordered_key_value.h>
%include <faiss/utils/Heap.h>
// this ignore seems to be ignored, so disable W362 above
%ignore faiss::AlignedTable::operator=;
%include <faiss/utils/AlignedTable.h>
%include <faiss/utils/partitioning.h>
%include <faiss/utils/hamming.h>
%include <faiss/utils/hamming_distance/common.h>
int get_num_gpus();
void gpu_profiler_start();
void gpu_profiler_stop();
void gpu_sync_all_devices();
#ifdef GPU_WRAPPER
%shared_ptr(faiss::gpu::GpuResources);
%shared_ptr(faiss::gpu::StandardGpuResourcesImpl);
%{
#include <faiss/gpu/StandardGpuResources.h>
#include <faiss/gpu/GpuIndicesOptions.h>
#include <faiss/gpu/GpuClonerOptions.h>
#include <faiss/gpu/GpuIndex.h>
#include <faiss/gpu/GpuIndexFlat.h>
#include <faiss/gpu/GpuIndexIVF.h>
#include <faiss/gpu/GpuIndexIVFPQ.h>
#include <faiss/gpu/GpuIndexIVFFlat.h>
#include <faiss/gpu/GpuIndexIVFScalarQuantizer.h>
#include <faiss/gpu/GpuIndexBinaryFlat.h>
#include <faiss/gpu/GpuAutoTune.h>
#include <faiss/gpu/GpuCloner.h>
#include <faiss/gpu/GpuDistance.h>
#include <faiss/gpu/GpuIcmEncoder.h>
int get_num_gpus()
{
return faiss::gpu::getNumDevices();
}
void gpu_profiler_start()
{
return faiss::gpu::profilerStart();
}
void gpu_profiler_stop()
{
return faiss::gpu::profilerStop();
}
void gpu_sync_all_devices()
{
return faiss::gpu::synchronizeAllDevices();
}
%}
%template() std::pair<int, uint64_t>;
%template() std::map<std::string, std::pair<int, uint64_t> >;
%template() std::map<int, std::map<std::string, std::pair<int, uint64_t> > >;
// causes weird wrapper bug
%ignore *::allocMemoryHandle;
%ignore faiss::gpu::GpuMemoryReservation;
%ignore faiss::gpu::GpuMemoryReservation::operator=(GpuMemoryReservation&&);
%ignore faiss::gpu::AllocType;
%include <faiss/gpu/GpuResources.h>
%include <faiss/gpu/StandardGpuResources.h>
typedef CUstream_st* cudaStream_t;
%inline %{
// interop between pytorch exposed cudaStream_t and faiss
cudaStream_t cast_integer_to_cudastream_t(int64_t x) {
return (cudaStream_t) x;
}
int64_t cast_cudastream_t_to_integer(cudaStream_t x) {
return (int64_t) x;
}
%}
#else
%{
int get_num_gpus()
{
return 0;
}
void gpu_profiler_start()
{
}
void gpu_profiler_stop()
{
}
void gpu_sync_all_devices()
{
}
%}
#endif
// order matters because includes are not recursive
%include <faiss/utils/utils.h>
%template(CombinerRangeKNNfloat) faiss::CombinerRangeKNN<float>;
%template(CombinerRangeKNNint16) faiss::CombinerRangeKNN<int16_t>;
%include <faiss/utils/distances.h>
%include <faiss/utils/random.h>
%include <faiss/utils/sorting.h>
%include <faiss/MetricType.h>
%newobject *::get_distance_computer() const;
%newobject *::get_CodePacker() const;
%include <faiss/Index.h>
%include <faiss/impl/DistanceComputer.h>
%newobject *::get_FlatCodesDistanceComputer() const;
%include <faiss/IndexFlatCodes.h>
%include <faiss/IndexFlat.h>
%include <faiss/Clustering.h>
%include <faiss/utils/extra_distances.h>
%ignore faiss::ProductQuantizer::get_centroids(size_t,size_t) const;
%include <faiss/impl/Quantizer.h>
%include <faiss/impl/ProductQuantizer.h>
%include <faiss/impl/AdditiveQuantizer.h>
%include <faiss/impl/residual_quantizer_encode_steps.h>
%include <faiss/impl/ResidualQuantizer.h>
%include <faiss/impl/LocalSearchQuantizer.h>
%include <faiss/impl/ProductAdditiveQuantizer.h>
%include <faiss/impl/CodePacker.h>
%include <faiss/VectorTransform.h>
%include <faiss/IndexPreTransform.h>
%include <faiss/IndexRefine.h>
%include <faiss/IndexLSH.h>
%include <faiss/impl/PolysemousTraining.h>
%include <faiss/IndexPQ.h>
%include <faiss/IndexAdditiveQuantizer.h>
%include <faiss/impl/io.h>
%include <faiss/invlists/InvertedLists.h>
%include <faiss/invlists/InvertedListsIOHook.h>
%ignore BlockInvertedListsIOHook;
%include <faiss/invlists/BlockInvertedLists.h>
%include <faiss/invlists/DirectMap.h>
%include <faiss/IndexIVF.h>
// NOTE(hoss): SWIG (wrongly) believes the overloaded const version shadows the
// non-const one.
%warnfilter(509) extract_index_ivf;
%warnfilter(509) try_extract_index_ivf;
%include <faiss/IVFlib.h>
%include <faiss/impl/ScalarQuantizer.h>
%include <faiss/IndexScalarQuantizer.h>
%include <faiss/IndexIVFSpectralHash.h>
%include <faiss/IndexIVFAdditiveQuantizer.h>
%include <faiss/impl/HNSW.h>
%include <faiss/IndexHNSW.h>
%include <faiss/impl/kmeans1d.h>
%ignore faiss::nndescent::Nhood::lock;
%include <faiss/impl/NNDescent.h>
%include <faiss/IndexNNDescent.h>
%include <faiss/IndexIVFFlat.h>
%warnfilter(509) faiss::nsg::Graph< int >::at(int,int);
%include <faiss/impl/NSG.h>
%template(NSG_Graph_int) faiss::nsg::Graph<int>;
// not using %shared_ptr to avoid mem leaks
%extend faiss::NSG {
faiss::nsg::Graph<int>* get_final_graph() {
return $self->final_graph.get();
}
}
%include <faiss/IndexNSG.h>
#ifndef SWIGWIN
%warnfilter(401) faiss::OnDiskInvertedListsIOHook;
%ignore OnDiskInvertedListsIOHook;
%include <faiss/invlists/OnDiskInvertedLists.h>
#endif // !SWIGWIN
%include <faiss/impl/lattice_Zn.h>
%include <faiss/IndexLattice.h>
%ignore faiss::IndexIVFPQ::alloc_type;
%include <faiss/IndexIVFPQ.h>
%include <faiss/IndexIVFPQR.h>
%include <faiss/Index2Layer.h>
%include <faiss/IndexFastScan.h>
%include <faiss/IndexAdditiveQuantizerFastScan.h>
%include <faiss/IndexPQFastScan.h>
// NOTE(matthijs) let's not go into wrapping simdlib
struct faiss::simd16uint16 {};
%include <faiss/impl/simd_result_handlers.h>
%include <faiss/IndexIVFFastScan.h>
%include <faiss/IndexIVFAdditiveQuantizerFastScan.h>
%include <faiss/IndexIVFIndependentQuantizer.h>
%include <faiss/IndexIVFPQFastScan.h>
%include <faiss/utils/quantize_lut.h>
%include <faiss/IndexBinary.h>
%include <faiss/IndexBinaryFlat.h>
%include <faiss/IndexBinaryIVF.h>
%include <faiss/IndexBinaryFromFloat.h>
%include <faiss/IndexBinaryHNSW.h>
%include <faiss/IndexBinaryHash.h>
%include <faiss/impl/ThreadedIndex.h>
%template(ThreadedIndexBase) faiss::ThreadedIndex<faiss::Index>;
%template(ThreadedIndexBaseBinary) faiss::ThreadedIndex<faiss::IndexBinary>;
%include <faiss/IndexShards.h>
%template(IndexShards) faiss::IndexShardsTemplate<faiss::Index>;
%template(IndexBinaryShards) faiss::IndexShardsTemplate<faiss::IndexBinary>;
%include <faiss/IndexShardsIVF.h>
%include <faiss/IndexReplicas.h>
%template(IndexReplicas) faiss::IndexReplicasTemplate<faiss::Index>;
%template(IndexBinaryReplicas) faiss::IndexReplicasTemplate<faiss::IndexBinary>;
%include <faiss/MetaIndexes.h>
%include <faiss/IndexRowwiseMinMax.h>
%ignore faiss::BufferList::Buffer;
%ignore faiss::RangeSearchPartialResult::QueryResult;
%ignore faiss::IDSelectorBatch::set;
%ignore faiss::IDSelectorBatch::bloom;
%ignore faiss::InterruptCallback::instance;
%ignore faiss::InterruptCallback::lock;
%include <faiss/impl/AuxIndexStructures.h>
%include <faiss/impl/IDSelector.h>
%include <faiss/IndexIDMap.h>
%template(IndexIDMap) faiss::IndexIDMapTemplate<faiss::Index>;
%template(IndexBinaryIDMap) faiss::IndexIDMapTemplate<faiss::IndexBinary>;
%template(IndexIDMap2) faiss::IndexIDMap2Template<faiss::Index>;
%template(IndexBinaryIDMap2) faiss::IndexIDMap2Template<faiss::IndexBinary>;
%include <faiss/utils/approx_topk/mode.h>
#ifdef GPU_WRAPPER
// quiet SWIG warnings
%ignore faiss::gpu::GpuIndexIVF::GpuIndexIVF;
%include <faiss/gpu/GpuIndicesOptions.h>
%include <faiss/gpu/GpuClonerOptions.h>
%include <faiss/gpu/GpuIndex.h>
%include <faiss/gpu/GpuIndexFlat.h>
%include <faiss/gpu/GpuIndexIVF.h>
%include <faiss/gpu/GpuIndexIVFPQ.h>
%include <faiss/gpu/GpuIndexIVFFlat.h>
%include <faiss/gpu/GpuIndexIVFScalarQuantizer.h>
%include <faiss/gpu/GpuIndexBinaryFlat.h>
%include <faiss/gpu/GpuDistance.h>
%include <faiss/gpu/GpuIcmEncoder.h>
#endif
/*******************************************************************
* downcast return of some functions so that the sub-class is used
* instead of the generic upper-class.
*******************************************************************/
#ifdef SWIGPYTHON
%define DOWNCAST(subclass)
if (dynamic_cast<faiss::subclass *> ($1)) {
$result = SWIG_NewPointerObj($1,SWIGTYPE_p_faiss__ ## subclass,$owner);
} else
%enddef
%define DOWNCAST2(subclass, longname)
if (dynamic_cast<faiss::subclass *> ($1)) {
$result = SWIG_NewPointerObj($1,SWIGTYPE_p_faiss__ ## longname,$owner);
} else
%enddef
%define DOWNCAST_GPU(subclass)
if (dynamic_cast<faiss::gpu::subclass *> ($1)) {
$result = SWIG_NewPointerObj($1,SWIGTYPE_p_faiss__gpu__ ## subclass,$owner);
} else
%enddef
#endif
%newobject read_index;
%newobject read_index_binary;
%newobject read_VectorTransform;
%newobject read_ProductQuantizer;
%newobject clone_index;
%newobject clone_binary_index;
%newobject clone_Quantizer;
%newobject clone_VectorTransform;
// Subclasses should appear before their parent
%typemap(out) faiss::Index * {
DOWNCAST2 ( IndexIDMap2, IndexIDMap2TemplateT_faiss__Index_t )
DOWNCAST2 ( IndexIDMap, IndexIDMapTemplateT_faiss__Index_t )
DOWNCAST ( IndexShardsIVF )
DOWNCAST2 ( IndexShards, IndexShardsTemplateT_faiss__Index_t )
DOWNCAST2 ( IndexReplicas, IndexReplicasTemplateT_faiss__Index_t )
DOWNCAST ( IndexIVFIndependentQuantizer)
DOWNCAST ( IndexIVFPQR )
DOWNCAST ( IndexIVFPQ )
DOWNCAST ( IndexIVFPQFastScan )
DOWNCAST ( IndexIVFSpectralHash )
DOWNCAST ( IndexIVFScalarQuantizer )
DOWNCAST ( IndexIVFResidualQuantizer )
DOWNCAST ( IndexIVFLocalSearchQuantizer )
DOWNCAST ( IndexIVFProductResidualQuantizer )
DOWNCAST ( IndexIVFProductLocalSearchQuantizer )
DOWNCAST ( IndexIVFResidualQuantizerFastScan )
DOWNCAST ( IndexIVFLocalSearchQuantizerFastScan )
DOWNCAST ( IndexIVFProductResidualQuantizerFastScan )
DOWNCAST ( IndexIVFProductLocalSearchQuantizerFastScan )
DOWNCAST ( IndexIVFFlatDedup )
DOWNCAST ( IndexIVFFlat )
DOWNCAST ( IndexIVF )
DOWNCAST ( IndexFlatIP )
DOWNCAST ( IndexFlatL2 )
DOWNCAST ( IndexFlat )
DOWNCAST ( IndexRefineFlat )
DOWNCAST ( IndexRefine )
DOWNCAST ( IndexPQFastScan )
DOWNCAST ( IndexPQ )
DOWNCAST ( IndexResidualQuantizer )
DOWNCAST ( IndexLocalSearchQuantizer )
DOWNCAST ( IndexResidualQuantizerFastScan )
DOWNCAST ( IndexLocalSearchQuantizerFastScan )
DOWNCAST ( IndexProductResidualQuantizerFastScan )
DOWNCAST ( IndexProductLocalSearchQuantizerFastScan )
DOWNCAST ( ResidualCoarseQuantizer )
DOWNCAST ( LocalSearchCoarseQuantizer )
DOWNCAST ( IndexProductResidualQuantizer )
DOWNCAST ( IndexProductLocalSearchQuantizer )
DOWNCAST ( IndexScalarQuantizer )
DOWNCAST ( IndexLSH )
DOWNCAST ( IndexLattice )
DOWNCAST ( IndexPreTransform )
DOWNCAST ( MultiIndexQuantizer )
DOWNCAST ( IndexHNSWFlat )
DOWNCAST ( IndexHNSWPQ )
DOWNCAST ( IndexHNSWSQ )
DOWNCAST ( IndexHNSW )
DOWNCAST ( IndexHNSW2Level )
DOWNCAST ( IndexNNDescentFlat )
DOWNCAST ( IndexNSGFlat )
DOWNCAST ( IndexNSGPQ )
DOWNCAST ( IndexNSGSQ )
DOWNCAST ( Index2Layer )
DOWNCAST ( IndexRandom )
DOWNCAST ( IndexRowwiseMinMax )
DOWNCAST ( IndexRowwiseMinMaxFP16 )
#ifdef GPU_WRAPPER
DOWNCAST_GPU ( GpuIndexIVFPQ )
DOWNCAST_GPU ( GpuIndexIVFFlat )
DOWNCAST_GPU ( GpuIndexIVFScalarQuantizer )
DOWNCAST_GPU ( GpuIndexFlat )
#endif
// default for non-recognized classes
DOWNCAST ( Index )
if ($1 == NULL)
{
#ifdef SWIGPYTHON
$result = SWIG_Py_Void();
#endif
} else {
assert(false);
}
}
%typemap(out) faiss::IndexBinary * {
DOWNCAST2 ( IndexBinaryReplicas, IndexReplicasTemplateT_faiss__IndexBinary_t )
DOWNCAST2 ( IndexBinaryIDMap2, IndexIDMap2TemplateT_faiss__IndexBinary_t )
DOWNCAST2 ( IndexBinaryIDMap, IndexIDMapTemplateT_faiss__IndexBinary_t )
DOWNCAST ( IndexBinaryIVF )
DOWNCAST ( IndexBinaryFlat )
DOWNCAST ( IndexBinaryFromFloat )
DOWNCAST ( IndexBinaryHNSW )
DOWNCAST ( IndexBinaryHash )
DOWNCAST ( IndexBinaryMultiHash )
#ifdef GPU_WRAPPER
DOWNCAST_GPU ( GpuIndexBinaryFlat )
#endif
// default for non-recognized classes
DOWNCAST ( IndexBinary )
if ($1 == NULL)
{
#ifdef SWIGPYTHON
$result = SWIG_Py_Void();
#endif
} else {
assert(false);
}
}
%typemap(out) faiss::VectorTransform * {
DOWNCAST (RemapDimensionsTransform)
DOWNCAST (OPQMatrix)
DOWNCAST (PCAMatrix)
DOWNCAST (ITQMatrix)
DOWNCAST (RandomRotationMatrix)
DOWNCAST (LinearTransform)
DOWNCAST (NormalizationTransform)
DOWNCAST (CenteringTransform)
DOWNCAST (ITQTransform)
DOWNCAST (VectorTransform)
{
assert(false);
}
}
%typemap(out) faiss::InvertedLists * {
DOWNCAST (ArrayInvertedLists)
DOWNCAST (BlockInvertedLists)
#ifndef SWIGWIN
DOWNCAST (OnDiskInvertedLists)
#endif // !SWIGWIN
DOWNCAST (VStackInvertedLists)
DOWNCAST (HStackInvertedLists)
DOWNCAST (MaskedInvertedLists)
DOWNCAST (InvertedLists)
{
assert(false);
}
}
%typemap(out) faiss::Quantizer * {
DOWNCAST (ScalarQuantizer)
DOWNCAST (ProductQuantizer)
DOWNCAST (LocalSearchQuantizer)
DOWNCAST (ResidualQuantizer)
DOWNCAST (ProductLocalSearchQuantizer)
DOWNCAST (ProductResidualQuantizer)
{
assert(false);
}
}
// just to downcast pointers that come from elsewhere (eg. direct
// access to object fields)
%inline %{
faiss::Index * downcast_index (faiss::Index *index)
{
return index;
}
faiss::VectorTransform * downcast_VectorTransform (faiss::VectorTransform *vt)
{
return vt;
}
faiss::IndexBinary * downcast_IndexBinary (faiss::IndexBinary *index)
{
return index;
}
faiss::InvertedLists * downcast_InvertedLists (faiss::InvertedLists *il)
{
return il;
}
// backwards compatibility
faiss::Quantizer * downcast_AdditiveQuantizer (faiss::AdditiveQuantizer *aq)
{
return aq;
}
faiss::Quantizer * downcast_Quantizer (faiss::Quantizer *aq)
{
return aq;
}
%}
%include <faiss/index_io.h>
%include <faiss/clone_index.h>
%newobject index_factory;
%newobject index_binary_factory;
%include <faiss/AutoTune.h>
%include <faiss/index_factory.h>
%include <faiss/MatrixStats.h>
#ifdef GPU_WRAPPER
%include <faiss/gpu/GpuAutoTune.h>
%newobject index_gpu_to_cpu;
%newobject index_cpu_to_gpu;
%newobject index_cpu_to_gpu_multiple;
%include <faiss/gpu/GpuCloner.h>
#endif
/*******************************************************************
* Support I/O to arbitrary functions
*******************************************************************/
#ifdef SWIGPYTHON
%include <faiss/python/python_callbacks.h>
%{
#include <faiss/python/python_callbacks.h>
%}
#endif
/*******************************************************************
* How should the template objects appear in the scripting language?
*******************************************************************/
// answer: the same as the C++ typedefs, but we still have to redefine them
%template() faiss::CMin<float, int64_t>;
%template() faiss::CMin<int, int64_t>;
%template() faiss::CMax<float, int64_t>;
%template() faiss::CMax<int, int64_t>;
%template(float_minheap_array_t) faiss::HeapArray<faiss::CMin<float, int64_t> >;
%template(int_minheap_array_t) faiss::HeapArray<faiss::CMin<int, int64_t> >;
%template(float_maxheap_array_t) faiss::HeapArray<faiss::CMax<float, int64_t> >;
%template(int_maxheap_array_t) faiss::HeapArray<faiss::CMax<int, int64_t> >;
%template(CMin_float_partition_fuzzy)
faiss::partition_fuzzy<faiss::CMin<float, int64_t> >;
%template(CMax_float_partition_fuzzy)
faiss::partition_fuzzy<faiss::CMax<float, int64_t> >;
%template(AlignedTableUint8) faiss::AlignedTable<uint8_t>;
%template(AlignedTableUint16) faiss::AlignedTable<uint16_t>;
%template(AlignedTableFloat32) faiss::AlignedTable<float>;
// SWIG seems to have some trouble resolving function template types here, so
// declare explicitly
%define INSTANTIATE_uint16_partition_fuzzy(C, id_t)
%inline %{
uint16_t C ## _uint16_partition_fuzzy(
uint16_t *vals, id_t *ids, size_t n,
size_t q_min, size_t q_max, size_t * q_out)
{
return faiss::partition_fuzzy<faiss::C<unsigned short, id_t> >(
vals, ids, n, q_min, q_max, q_out);
}
%}
%enddef
INSTANTIATE_uint16_partition_fuzzy(CMin, int64_t)
INSTANTIATE_uint16_partition_fuzzy(CMax, int64_t)
INSTANTIATE_uint16_partition_fuzzy(CMin, int)
INSTANTIATE_uint16_partition_fuzzy(CMax, int)
// Same for merge_knn_results
// same define as explicit instanciation in Heap.cpp
%define INSTANTIATE_merge_knn_results(C, distance_t)
%inline %{
void merge_knn_results_ ## C(
size_t n, size_t k, int nshard,
const distance_t *all_distances, const faiss::idx_t *all_labels,
distance_t *distances, faiss::idx_t *labels)
{
faiss::merge_knn_results<faiss::idx_t, faiss::C<distance_t, int>>(
n, k, nshard, all_distances, all_labels, distances, labels);
}
%}
%enddef
INSTANTIATE_merge_knn_results(CMin, float);
INSTANTIATE_merge_knn_results(CMax, float);
INSTANTIATE_merge_knn_results(CMin, int32_t);
INSTANTIATE_merge_knn_results(CMax, int32_t);
%inline %{
/*******************************************************************
* numpy misses a hash table implementation, hence this class. It
* represents not found values as -1 like in the Index implementation
*******************************************************************/
struct MapLong2Long {
std::unordered_map<int64_t, int64_t> map;
void add(size_t n, const int64_t *keys, const int64_t *vals) {
map.reserve(map.size() + n);
for (size_t i = 0; i < n; i++) {
map[keys[i]] = vals[i];
}
}
int64_t search(int64_t key) const {
auto ptr = map.find(key);
if (ptr == map.end()) {
return -1;
} else {
return ptr->second;
}
}
void search_multiple(size_t n, int64_t *keys, int64_t * vals) {
for (size_t i = 0; i < n; i++) {
vals[i] = search(keys[i]);
}
}
};
%}
/*******************************************************************
* Expose a few basic functions
*******************************************************************/
void omp_set_num_threads (int num_threads);
int omp_get_max_threads ();
void *memcpy(void *dest, const void *src, size_t n);
/*******************************************************************
* Python-specific: do not release GIL any more, as functions below
* use the Python/C API
*******************************************************************/
#ifdef SWIGPYTHON
%exception;
#endif
/*******************************************************************
* Python specific: numpy array <-> C++ pointer interface
*******************************************************************/
#ifdef SWIGPYTHON
%{
PyObject *swig_ptr (PyObject *a)
{
if (PyBytes_Check(a)) {
return SWIG_NewPointerObj(PyBytes_AsString(a), SWIGTYPE_p_char, 0);
}
if (PyByteArray_Check(a)) {
return SWIG_NewPointerObj(PyByteArray_AsString(a), SWIGTYPE_p_char, 0);
}
if(!PyArray_Check(a)) {
PyErr_SetString(PyExc_ValueError, "input not a numpy array");
return NULL;
}
PyArrayObject *ao = (PyArrayObject *)a;
if(!PyArray_ISCONTIGUOUS(ao)) {
PyErr_SetString(PyExc_ValueError, "array is not C-contiguous");
return NULL;
}
void * data = PyArray_DATA(ao);
if(PyArray_TYPE(ao) == NPY_FLOAT32) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_float, 0);
}
if(PyArray_TYPE(ao) == NPY_FLOAT64) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_double, 0);
}
if(PyArray_TYPE(ao) == NPY_FLOAT16) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_short, 0);
}
if(PyArray_TYPE(ao) == NPY_UINT8) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_char, 0);
}
if(PyArray_TYPE(ao) == NPY_INT8) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_char, 0);
}
if(PyArray_TYPE(ao) == NPY_UINT16) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_short, 0);
}
if(PyArray_TYPE(ao) == NPY_INT16) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_short, 0);
}
if(PyArray_TYPE(ao) == NPY_UINT32) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_int, 0);
}
if(PyArray_TYPE(ao) == NPY_INT32) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_int, 0);
}
if(PyArray_TYPE(ao) == NPY_BOOL) {
return SWIG_NewPointerObj(data, SWIGTYPE_p_bool, 0);
}
if(PyArray_TYPE(ao) == NPY_UINT64) {
#ifdef SWIGWORDSIZE64
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_long, 0);
#else
return SWIG_NewPointerObj(data, SWIGTYPE_p_unsigned_long_long, 0);
#endif
}
if(PyArray_TYPE(ao) == NPY_INT64) {
#ifdef SWIGWORDSIZE64
return SWIG_NewPointerObj(data, SWIGTYPE_p_long, 0);
#else
return SWIG_NewPointerObj(data, SWIGTYPE_p_long_long, 0);
#endif
}
PyErr_SetString(PyExc_ValueError, "did not recognize array type");
return NULL;
}
struct PythonInterruptCallback: faiss::InterruptCallback {
bool want_interrupt () override {
int err;
{
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
err = PyErr_CheckSignals();
PyGILState_Release(gstate);
}
return err == -1;
}
};
%}
%init %{
/* needed, else crash at runtime */
import_array();
faiss::InterruptCallback::instance.reset(new PythonInterruptCallback());
%}
// return a pointer usable as input for functions that expect pointers
PyObject *swig_ptr (PyObject *a);
%define REV_SWIG_PTR(ctype, numpytype)
%{
PyObject * rev_swig_ptr(ctype *src, npy_intp size) {
return PyArray_SimpleNewFromData(1, &size, numpytype, src);
}
%}
PyObject * rev_swig_ptr(ctype *src, size_t size);
%enddef
REV_SWIG_PTR(float, NPY_FLOAT32);
REV_SWIG_PTR(double, NPY_FLOAT64);
REV_SWIG_PTR(unsigned char, NPY_UINT8);
REV_SWIG_PTR(char, NPY_INT8);
REV_SWIG_PTR(unsigned short, NPY_UINT16);
REV_SWIG_PTR(short, NPY_INT16);
REV_SWIG_PTR(int, NPY_INT32);
REV_SWIG_PTR(unsigned int, NPY_UINT32);
REV_SWIG_PTR(int64_t, NPY_INT64);
REV_SWIG_PTR(uint64_t, NPY_UINT64);
#endif
/*******************************************************************
* For Faiss/Pytorch interop via pointers encoded as longs
*******************************************************************/
%inline %{
uint8_t * cast_integer_to_uint8_ptr (int64_t x) {
return (uint8_t*)x;
}
float * cast_integer_to_float_ptr (int64_t x) {
return (float*)x;
}
faiss::idx_t* cast_integer_to_idx_t_ptr (int64_t x) {
return (faiss::idx_t*)x;
}
int * cast_integer_to_int_ptr (int64_t x) {
return (int*)x;
}
void * cast_integer_to_void_ptr (int64_t x) {
return (void*)x;
}
%}
%inline %{
void wait() {
// in gdb, use return to get out of this function
for(int i = 0; i == 0; i += 0);
}
%}
// End of file...