faiss/gpu/impl/BinaryFlatIndex.cuh

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/**
* Copyright (c) 2015-present, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under the BSD+Patents license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include "../utils/DeviceTensor.cuh"
#include "../utils/DeviceVector.cuh"
#include "../utils/MemorySpace.h"
namespace faiss { namespace gpu {
class GpuResources;
/// Holder of GPU resources for a particular flat index
class BinaryFlatIndex {
public:
BinaryFlatIndex(GpuResources* res,
int dim,
MemorySpace space);
/// Returns the number of vectors we contain
int getSize() const;
int getDim() const;
/// Reserve storage that can contain at least this many vectors
void reserve(size_t numVecs, cudaStream_t stream);
/// Returns a reference to our vectors currently in use
Tensor<unsigned char, 2, true>& getVectorsRef();
void query(Tensor<unsigned char, 2, true>& vecs,
int k,
Tensor<int, 2, true>& outDistances,
Tensor<int, 2, true>& outIndices);
/// Add vectors to ourselves; the pointer passed can be on the host
/// or the device
void add(const unsigned char* data, int numVecs, cudaStream_t stream);
/// Free all storage
void reset();
private:
/// Collection of GPU resources that we use
GpuResources* resources_;
/// Dimensionality of our vectors
const int dim_;
/// Memory space for our allocations
MemorySpace space_;
/// How many vectors we have
int num_;
/// The underlying expandable storage
DeviceVector<char> rawData_;
/// Vectors currently in rawData_
DeviceTensor<unsigned char, 2, true> vectors_;
};
} } // namespace