faiss/gpu/utils/warpselect/WarpSelectImpl.cuh
Lucas Hosseini a8118acbc5
Facebook sync (May 2019) + relicense (#838)
Changelog:

- changed license: BSD+Patents -> MIT
- propagates exceptions raised in sub-indexes of IndexShards and IndexReplicas
- support for searching several inverted lists in parallel (parallel_mode != 0)
- better support for PQ codes where nbit != 8 or 16
- IVFSpectralHash implementation: spectral hash codes inside an IVF
- 6-bit per component scalar quantizer (4 and 8 bit were already supported)
- combinations of inverted lists: HStackInvertedLists and VStackInvertedLists
- configurable number of threads for OnDiskInvertedLists prefetching (including 0=no prefetch)
- more test and demo code compatible with Python 3 (print with parentheses)
- refactored benchmark code: data loading is now in a single file
2019-05-28 16:17:22 +02:00

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/**
* 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.
*/
#include "../WarpSelectKernel.cuh"
#include "../Limits.cuh"
#define WARP_SELECT_DECL(TYPE, DIR, WARP_Q) \
extern void runWarpSelect_ ## TYPE ## _ ## DIR ## _ ## WARP_Q ## _( \
Tensor<TYPE, 2, true>& in, \
Tensor<TYPE, 2, true>& outK, \
Tensor<int, 2, true>& outV, \
bool dir, \
int k, \
cudaStream_t stream)
#define WARP_SELECT_IMPL(TYPE, DIR, WARP_Q, THREAD_Q) \
void runWarpSelect_ ## TYPE ## _ ## DIR ## _ ## WARP_Q ## _( \
Tensor<TYPE, 2, true>& in, \
Tensor<TYPE, 2, true>& outK, \
Tensor<int, 2, true>& outV, \
bool dir, \
int k, \
cudaStream_t stream) { \
\
constexpr int kWarpSelectNumThreads = 128; \
auto grid = dim3(utils::divUp(in.getSize(0), \
(kWarpSelectNumThreads / kWarpSize))); \
auto block = dim3(kWarpSelectNumThreads); \
\
FAISS_ASSERT(k <= WARP_Q); \
FAISS_ASSERT(dir == DIR); \
\
auto kInit = dir ? Limits<TYPE>::getMin() : Limits<TYPE>::getMax(); \
auto vInit = -1; \
\
warpSelect<TYPE, int, DIR, WARP_Q, THREAD_Q, kWarpSelectNumThreads> \
<<<grid, block, 0, stream>>>(in, outK, outV, kInit, vInit, k); \
CUDA_TEST_ERROR(); \
}
#define WARP_SELECT_CALL(TYPE, DIR, WARP_Q) \
runWarpSelect_ ## TYPE ## _ ## DIR ## _ ## WARP_Q ## _( \
in, outK, outV, dir, k, stream)