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faiss::gpu::GpuIndexIVF Class Reference
Inheritance diagram for faiss::gpu::GpuIndexIVF:

## Public Member Functions
| GpuIndexIVF (GpuResources *resources, int device, IndicesOptions indicesOptions, bool useFloat16CoarseQuantizer, int dims, faiss::MetricType metric, int nlist)
| GpuIndexIVF (GpuResources *resources, int device, IndicesOptions indicesOptions, int dims, faiss::MetricType metric, int nlist, GpuIndexFlat *quantizer)
IndicesOptions | getIndicesOptions () const
| What indices storage options are we using?
bool | getUseFloat16CoarseQuantizer () const
| Is our coarse quantizer storing and performing math in float16?
void | copyFrom (const faiss::IndexIVF *index)
| Copy what we need from the CPU equivalent.
void | copyTo (faiss::IndexIVF *index) const
| Copy what we have to the CPU equivalent.
int | getNumLists () const
| Returns the number of inverted lists we're managing.
void | setNumProbes (int nprobe)
| Sets the number of list probes per query.
int | getNumProbes () const
| Returns our current number of list probes per query.
void | add (Index::idx_t n, const float *x) override
Public Member Functions inherited from faiss::gpu::GpuIndex
| GpuIndex (GpuResources *resources, int device, int dims, faiss::MetricType metric)
int | getDevice () const
GpuResources * | getResources ()
Public Member Functions inherited from faiss::Index
| Index (idx_t d=0, MetricType metric=METRIC_INNER_PRODUCT)
virtual void | train (idx_t n, const float *x)
virtual void | add_with_ids (idx_t n, const float *x, const long *xids)
virtual void | search (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const =0
virtual void | range_search (idx_t n, const float *x, float radius, RangeSearchResult *result) const
void | assign (idx_t n, const float *x, idx_t *labels, idx_t k=1)
virtual void | reset ()=0
| removes all elements from the database.
virtual long | remove_ids (const IDSelector &sel)
virtual void | reconstruct (idx_t key, float *recons) const
virtual void | reconstruct_n (idx_t i0, idx_t ni, float *recons) const
void | compute_residual (const float *x, float *residual, idx_t key) const
void | display () const
virtual std::string | get_typename () const
virtual void | set_typename ()=0

## Protected Member Functions
void | trainQuantizer_ (faiss::Index::idx_t n, const float *x)

## Protected Attributes
const IndicesOptions | indicesOptions_
| How should indices be stored on the GPU?
const bool | useFloat16CoarseQuantizer_
int | nlist_
| Number of inverted lists that we manage.
int | nprobe_
| Number of inverted list probes per query.
ClusteringParameters | cp_
| Ability to override default clustering parameters.
GpuIndexFlat * | quantizer_
| Quantizer for inverted lists.
bool | ownsQuantizer_
| Do we own the above quantizer instance?
Protected Attributes inherited from faiss::gpu::GpuIndex
GpuResources * | resources_
| Manages streans, cuBLAS handles and scratch memory for devices.
int | device_
| The GPU device we are resident on.

## Additional Inherited Members
Public Types inherited from faiss::Index
typedef long | idx_t
| all indices are this type
Public Attributes inherited from faiss::Index
std::string | index_typename
int | d
| vector dimension
idx_t | ntotal
| total nb of indexed vectors
bool | verbose
| verbosity level
bool | is_trained
| set if the Index does not require training, or if training is done already
MetricType | metric_type
| type of metric this index uses for search

## Detailed Description

Definition at line 25 of file GpuIndexIVF.h.

## Member Function Documentation

void faiss::gpu::GpuIndexIVF::add | ( | Index::idx_t | n,
|  | const float * | x
| ) |  |
| overridevirtual

`x` can be resident on the CPU or any GPU; the proper copies are performed Forwards to add_with_ids

Implements faiss::gpu::GpuIndex.

Definition at line 247 of file GpuIndexIVF.cu.

## Member Data Documentation

const bool faiss::gpu::GpuIndexIVF::useFloat16CoarseQuantizer_
| protected

Do we want to use float16 storage and math in our coarse quantizer?

Definition at line 85 of file GpuIndexIVF.h.

The documentation for this class was generated from the following files:

- /data/users/matthijs/github_faiss/faiss/gpu/GpuIndexIVF.h
- /data/users/matthijs/github_faiss/faiss/gpu/GpuIndexIVF.cu