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12 | 12 | #include <faiss/impl/DistanceComputer.h>
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13 | 13 | #include <faiss/impl/FaissAssert.h>
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14 | 14 | #include <faiss/impl/IDSelector.h>
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| 15 | +#include <faiss/impl/ResultHandler.h> |
| 16 | +#include <faiss/utils/extra_distances.h> |
15 | 17 |
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16 | 18 | namespace faiss {
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17 | 19 |
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@@ -70,11 +72,6 @@ void IndexFlatCodes::reconstruct(idx_t key, float* recons) const {
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70 | 72 | reconstruct_n(key, 1, recons);
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71 | 73 | }
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72 | 74 |
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73 |
| -FlatCodesDistanceComputer* IndexFlatCodes::get_FlatCodesDistanceComputer() |
74 |
| - const { |
75 |
| - FAISS_THROW_MSG("not implemented"); |
76 |
| -} |
77 |
| - |
78 | 75 | void IndexFlatCodes::check_compatible_for_merge(const Index& otherIndex) const {
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79 | 76 | // minimal sanity checks
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80 | 77 | const IndexFlatCodes* other =
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@@ -114,4 +111,163 @@ void IndexFlatCodes::permute_entries(const idx_t* perm) {
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114 | 111 | std::swap(codes, new_codes);
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115 | 112 | }
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116 | 113 |
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| 114 | +namespace { |
| 115 | + |
| 116 | +template <class VD> |
| 117 | +struct GenericFlatCodesDistanceComputer : FlatCodesDistanceComputer { |
| 118 | + const IndexFlatCodes& codec; |
| 119 | + const VD vd; |
| 120 | + // temp buffers |
| 121 | + std::vector<uint8_t> code_buffer; |
| 122 | + std::vector<float> vec_buffer; |
| 123 | + const float* query = nullptr; |
| 124 | + |
| 125 | + GenericFlatCodesDistanceComputer(const IndexFlatCodes* codec, const VD& vd) |
| 126 | + : FlatCodesDistanceComputer(codec->codes.data(), codec->code_size), |
| 127 | + codec(*codec), |
| 128 | + vd(vd), |
| 129 | + code_buffer(codec->code_size * 4), |
| 130 | + vec_buffer(codec->d * 4) {} |
| 131 | + |
| 132 | + void set_query(const float* x) override { |
| 133 | + query = x; |
| 134 | + } |
| 135 | + |
| 136 | + float operator()(idx_t i) override { |
| 137 | + codec.sa_decode(1, codes + i * code_size, vec_buffer.data()); |
| 138 | + return vd(query, vec_buffer.data()); |
| 139 | + } |
| 140 | + |
| 141 | + float distance_to_code(const uint8_t* code) override { |
| 142 | + codec.sa_decode(1, code, vec_buffer.data()); |
| 143 | + return vd(query, vec_buffer.data()); |
| 144 | + } |
| 145 | + |
| 146 | + float symmetric_dis(idx_t i, idx_t j) override { |
| 147 | + codec.sa_decode(1, codes + i * code_size, vec_buffer.data()); |
| 148 | + codec.sa_decode(1, codes + j * code_size, vec_buffer.data() + vd.d); |
| 149 | + return vd(vec_buffer.data(), vec_buffer.data() + vd.d); |
| 150 | + } |
| 151 | + |
| 152 | + void distances_batch_4( |
| 153 | + const idx_t idx0, |
| 154 | + const idx_t idx1, |
| 155 | + const idx_t idx2, |
| 156 | + const idx_t idx3, |
| 157 | + float& dis0, |
| 158 | + float& dis1, |
| 159 | + float& dis2, |
| 160 | + float& dis3) { |
| 161 | + uint8_t* cp = code_buffer.data(); |
| 162 | + for (idx_t i : {idx0, idx1, idx2, idx3}) { |
| 163 | + memcpy(cp, codes + i * code_size, code_size); |
| 164 | + cp += code_size; |
| 165 | + } |
| 166 | + // potential benefit is if batch decoding is more efficient than 1 by 1 |
| 167 | + // decoding |
| 168 | + codec.sa_decode(4, code_buffer.data(), vec_buffer.data()); |
| 169 | + dis0 = vd(query, vec_buffer.data()); |
| 170 | + dis1 = vd(query, vec_buffer.data() + vd.d); |
| 171 | + dis2 = vd(query, vec_buffer.data() + 2 * vd.d); |
| 172 | + dis3 = vd(query, vec_buffer.data() + 3 * vd.d); |
| 173 | + } |
| 174 | +}; |
| 175 | + |
| 176 | +struct Run_get_distance_computer { |
| 177 | + using T = FlatCodesDistanceComputer*; |
| 178 | + |
| 179 | + template <class VD> |
| 180 | + FlatCodesDistanceComputer* f(const VD& vd, const IndexFlatCodes* codec) { |
| 181 | + return new GenericFlatCodesDistanceComputer<VD>(codec, vd); |
| 182 | + } |
| 183 | +}; |
| 184 | + |
| 185 | +template <class BlockResultHandler> |
| 186 | +struct Run_search_with_decompress { |
| 187 | + using T = void; |
| 188 | + |
| 189 | + template <class VectorDistance> |
| 190 | + void f(VectorDistance& vd, |
| 191 | + const IndexFlatCodes* index_ptr, |
| 192 | + const float* xq, |
| 193 | + BlockResultHandler& res) { |
| 194 | + // Note that there seems to be a clang (?) bug that "sometimes" passes |
| 195 | + // the const Index & parameters by value, so to be on the safe side, |
| 196 | + // it's better to use pointers. |
| 197 | + const IndexFlatCodes& index = *index_ptr; |
| 198 | + const uint8_t* codes = index.codes.data(); |
| 199 | + size_t ntotal = index.ntotal; |
| 200 | + size_t code_size = index.code_size; |
| 201 | + using SingleResultHandler = |
| 202 | + typename BlockResultHandler::SingleResultHandler; |
| 203 | + using DC = GenericFlatCodesDistanceComputer<VectorDistance>; |
| 204 | +#pragma omp parallel // if (res.nq > 100) |
| 205 | + { |
| 206 | + std::unique_ptr<DC> dc(new DC(&index, vd)); |
| 207 | + SingleResultHandler resi(res); |
| 208 | +#pragma omp for |
| 209 | + for (int64_t q = 0; q < res.nq; q++) { |
| 210 | + resi.begin(q); |
| 211 | + dc->set_query(xq + vd.d * q); |
| 212 | + for (size_t i = 0; i < ntotal; i++) { |
| 213 | + if (res.is_in_selection(i)) { |
| 214 | + float dis = (*dc)(i); |
| 215 | + resi.add_result(dis, i); |
| 216 | + } |
| 217 | + } |
| 218 | + resi.end(); |
| 219 | + } |
| 220 | + } |
| 221 | + } |
| 222 | +}; |
| 223 | + |
| 224 | +struct Run_search_with_decompress_res { |
| 225 | + using T = void; |
| 226 | + |
| 227 | + template <class ResultHandler> |
| 228 | + void f(ResultHandler& res, const IndexFlatCodes* index, const float* xq) { |
| 229 | + Run_search_with_decompress<ResultHandler> r; |
| 230 | + dispatch_VectorDistance( |
| 231 | + index->d, |
| 232 | + index->metric_type, |
| 233 | + index->metric_arg, |
| 234 | + r, |
| 235 | + index, |
| 236 | + xq, |
| 237 | + res); |
| 238 | + } |
| 239 | +}; |
| 240 | + |
| 241 | +} // anonymous namespace |
| 242 | + |
| 243 | +FlatCodesDistanceComputer* IndexFlatCodes::get_FlatCodesDistanceComputer() |
| 244 | + const { |
| 245 | + Run_get_distance_computer r; |
| 246 | + return dispatch_VectorDistance(d, metric_type, metric_arg, r, this); |
| 247 | +} |
| 248 | + |
| 249 | +void IndexFlatCodes::search( |
| 250 | + idx_t n, |
| 251 | + const float* x, |
| 252 | + idx_t k, |
| 253 | + float* distances, |
| 254 | + idx_t* labels, |
| 255 | + const SearchParameters* params) const { |
| 256 | + Run_search_with_decompress_res r; |
| 257 | + const IDSelector* sel = params ? params->sel : nullptr; |
| 258 | + dispatch_knn_ResultHandler( |
| 259 | + n, distances, labels, k, metric_type, sel, r, this, x); |
| 260 | +} |
| 261 | + |
| 262 | +void IndexFlatCodes::range_search( |
| 263 | + idx_t n, |
| 264 | + const float* x, |
| 265 | + float radius, |
| 266 | + RangeSearchResult* result, |
| 267 | + const SearchParameters* params) const { |
| 268 | + const IDSelector* sel = params ? params->sel : nullptr; |
| 269 | + Run_search_with_decompress_res r; |
| 270 | + dispatch_range_ResultHandler(result, radius, metric_type, sel, r, this, x); |
| 271 | +} |
| 272 | + |
117 | 273 | } // namespace faiss
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