50 lines
1.8 KiB
C
50 lines
1.8 KiB
C
|
/**
|
||
|
|
* 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 "../Index.h"
|
||
|
|
|
||
|
|
namespace faiss { namespace gpu {
|
||
|
|
|
||
|
|
class GpuResources;
|
||
|
|
|
||
|
|
/// A wrapper for gpu/impl/Distance.cuh to expose direct brute-force k-nearest
|
||
|
|
/// neighbor searches on an externally-provided region of memory (e.g., from a
|
||
|
|
/// pytorch tensor).
|
||
|
|
/// The data (vectors, queries, outDistances, outIndices) can be resident on the
|
||
|
|
/// GPU or the CPU, but all calculations are performed on the GPU. If the result
|
||
|
|
/// buffers are on the CPU, results will be copied back when done.
|
||
|
|
///
|
||
|
|
/// All GPU computation is performed on the current CUDA device, and ordered
|
||
|
|
/// with respect to resources->getDefaultStreamCurrentDevice().
|
||
|
|
///
|
||
|
|
/// For each vector in `queries`, searches all of `vectors` to find its k
|
||
|
|
/// nearest neighbors with respect to the given metric
|
||
|
|
void bruteForceKnn(GpuResources* resources,
|
||
|
|
faiss::MetricType metric,
|
||
|
|
// A region of memory size numVectors x dims, with dims
|
||
|
|
// innermost
|
||
|
|
const float* vectors,
|
||
|
|
int numVectors,
|
||
|
|
// A region of memory size numQueries x dims, with dims
|
||
|
|
// innermost
|
||
|
|
const float* queries,
|
||
|
|
int numQueries,
|
||
|
|
int dims,
|
||
|
|
int k,
|
||
|
|
// A region of memory size numQueries x k, with k
|
||
|
|
// innermost
|
||
|
|
float* outDistances,
|
||
|
|
// A region of memory size numQueries x k, with k
|
||
|
|
// innermost
|
||
|
|
faiss::Index::idx_t* outIndices);
|
||
|
|
|
||
|
|
} } // namespace
|