mirror of
https://github.com/facebookresearch/faiss.git
synced 2025-06-03 21:54:02 +08:00
a8118acbc5
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
32 lines
962 B
Plaintext
32 lines
962 B
Plaintext
/**
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* Copyright (c) Facebook, Inc. and its affiliates.
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*
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* This source code is licensed under the MIT license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#pragma once
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#include "../utils/Tensor.cuh"
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#include "../utils/Float16.cuh"
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namespace faiss { namespace gpu {
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// Calculates residual v_i - c_j for all v_i in vecs where j = vecToCentroid[i]
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void runCalcResidual(Tensor<float, 2, true>& vecs,
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Tensor<float, 2, true>& centroids,
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Tensor<int, 1, true>& vecToCentroid,
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Tensor<float, 2, true>& residuals,
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cudaStream_t stream);
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#ifdef FAISS_USE_FLOAT16
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void runCalcResidual(Tensor<float, 2, true>& vecs,
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Tensor<half, 2, true>& centroids,
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Tensor<int, 1, true>& vecToCentroid,
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Tensor<float, 2, true>& residuals,
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cudaStream_t stream);
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#endif
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} } // namespace
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