mirror of https://github.com/milvus-io/milvus.git
parent
705e5cde8e
commit
f9222da52b
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@ -51,6 +51,8 @@ BinaryIDMAP::Query(const DatasetPtr& dataset_ptr, const Config& config) {
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auto p_dist = (float*)malloc(p_dist_size);
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QueryImpl(rows, (uint8_t*)p_data, k, p_dist, p_id, config);
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MapOffsetToUid(p_id, static_cast<size_t>(elems));
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auto ret_ds = std::make_shared<Dataset>();
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ret_ds->Set(meta::IDS, p_id);
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ret_ds->Set(meta::DISTANCE, p_dist);
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@ -122,8 +124,6 @@ BinaryIDMAP::QueryImpl(int64_t n, const uint8_t* data, int64_t k, float* distanc
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}
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index_->metric_type = default_type;
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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}
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} // namespace knowhere
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@ -58,6 +58,7 @@ BinaryIVF::Query(const DatasetPtr& dataset_ptr, const Config& config) {
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auto p_dist = (float*)malloc(p_dist_size);
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QueryImpl(rows, (uint8_t*)p_data, k, p_dist, p_id, config);
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MapOffsetToUid(p_id, static_cast<size_t>(elems));
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auto ret_ds = std::make_shared<Dataset>();
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ret_ds->Set(meta::IDS, p_id);
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@ -187,8 +188,6 @@ BinaryIVF::QueryImpl(int64_t n, const uint8_t* data, int64_t k, float* distances
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distances[i] = static_cast<float>(i_distances[i]);
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}
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}
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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}
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} // namespace knowhere
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@ -82,6 +82,8 @@ IDMAP::Query(const DatasetPtr& dataset_ptr, const Config& config) {
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auto p_dist = (float*)malloc(p_dist_size);
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QueryImpl(rows, (float*)p_data, k, p_dist, p_id, config);
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MapOffsetToUid(p_id, static_cast<size_t>(elems));
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auto ret_ds = std::make_shared<Dataset>();
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ret_ds->Set(meta::IDS, p_id);
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ret_ds->Set(meta::DISTANCE, p_dist);
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@ -139,8 +141,6 @@ IDMAP::QueryImpl(int64_t n, const float* data, int64_t k, float* distances, int6
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index_->metric_type = GetMetricType(config[Metric::TYPE].get<std::string>());
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index_->search(n, (float*)data, k, distances, labels, GetBlacklist());
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index_->metric_type = default_type;
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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}
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} // namespace knowhere
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@ -104,6 +104,7 @@ IVF::Query(const DatasetPtr& dataset_ptr, const Config& config) {
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auto p_dist = (float*)malloc(p_dist_size);
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QueryImpl(rows, (float*)p_data, k, p_dist, p_id, config);
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MapOffsetToUid(p_id, static_cast<size_t>(elems));
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auto ret_ds = std::make_shared<Dataset>();
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ret_ds->Set(meta::IDS, p_id);
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@ -311,8 +312,6 @@ IVF::QueryImpl(int64_t n, const float* data, int64_t k, float* distances, int64_
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<< ", data search cost: " << faiss::indexIVF_stats.search_time;
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faiss::indexIVF_stats.quantization_time = 0;
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faiss::indexIVF_stats.search_time = 0;
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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}
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void
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@ -105,8 +105,6 @@ GPUIDMAP::QueryImpl(int64_t n, const float* data, int64_t k, float* distances, i
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index_->metric_type = GetMetricType(config[Metric::TYPE].get<std::string>());
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index_->search(n, (float*)data, k, distances, labels, GetBlacklist());
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index_->metric_type = default_type;
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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}
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void
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@ -148,8 +148,6 @@ GPUIVF::QueryImpl(int64_t n, const float* data, int64_t k, float* distances, int
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device_index->search(search_size, (float*)data + i * dim, k, distances + i * k, labels + i * k,
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GetBlacklist());
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}
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MapOffsetToUid(labels, static_cast<size_t>(n * k));
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} else {
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KNOWHERE_THROW_MSG("Not a GpuIndexIVF type.");
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}
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@ -60,7 +60,7 @@ TEST_P(AnnoyTest, annoy_basic) {
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ASSERT_ANY_THROW(index_->Dim());
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}
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index_->BuildAll(base_dataset, conf); // Train + Add
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index_->BuildAll(base_dataset, conf); // Train + AddWithoutIds
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ASSERT_EQ(index_->Count(), nb);
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ASSERT_EQ(index_->Dim(), dim);
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@ -94,7 +94,7 @@ TEST_P(AnnoyTest, annoy_basic) {
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TEST_P(AnnoyTest, annoy_delete) {
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assert(!xb.empty());
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index_->BuildAll(base_dataset, conf); // Train + Add
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index_->BuildAll(base_dataset, conf); // Train + AddWithoutIds
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ASSERT_EQ(index_->Count(), nb);
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ASSERT_EQ(index_->Dim(), dim);
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