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Add gen_hdf_file.cpp to support create random dataset
Signed-off-by: Yudong Cai <[email protected]>
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| // Copyright (C) 2019-2023 Zilliz. All rights reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software distributed under the License | ||
| // is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express | ||
| // or implied. See the License for the specific language governing permissions and limitations under the License. | ||
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| #include <gtest/gtest.h> | ||
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| #include <algorithm> | ||
| #include <vector> | ||
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| #include "benchmark_hdf5.h" | ||
| #include "knowhere/comp/brute_force.h" | ||
| #include "knowhere/comp/index_param.h" | ||
| #include "knowhere/comp/knowhere_config.h" | ||
| #include "knowhere/dataset.h" | ||
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| knowhere::DataSetPtr | ||
| GenDataSet(int rows, int dim) { | ||
| std::mt19937 rng(42); | ||
| std::uniform_real_distribution<> distrib(-1.0, 1.0); | ||
| float* ts = new float[rows * dim]; | ||
| for (int i = 0; i < rows * dim; ++i) { | ||
| ts[i] = (float)distrib(rng); | ||
| } | ||
| auto ds = knowhere::GenDataSet(rows, dim, ts); | ||
| ds->SetIsOwner(true); | ||
| return ds; | ||
| } | ||
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| knowhere::DataSetPtr | ||
| GenBinDataSet(int rows, int dim) { | ||
| std::mt19937 rng(42); | ||
| std::uniform_int_distribution<> distrib(0, 255); | ||
| int uint8_num = dim / 8; | ||
| uint8_t* ts = new uint8_t[rows * uint8_num]; | ||
| for (int i = 0; i < rows * uint8_num; ++i) { | ||
| ts[i] = (uint8_t)distrib(rng); | ||
| } | ||
| auto ds = knowhere::GenDataSet(rows, dim, ts); | ||
| ds->SetIsOwner(true); | ||
| return ds; | ||
| } | ||
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| class Create_HDF5 : public Benchmark_hdf5, public ::testing::Test { | ||
| protected: | ||
| void | ||
| SetUp() override { | ||
| } | ||
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| void | ||
| TearDown() override { | ||
| } | ||
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| template <bool is_binary> | ||
| void | ||
| create_hdf5_file(const knowhere::MetricType& metric_type, const int64_t nb, const int64_t nq, const int64_t dim, | ||
| const int64_t topk) { | ||
| std::string metric_str = metric_type; | ||
| transform(metric_str.begin(), metric_str.end(), metric_str.begin(), ::tolower); | ||
| std::string fn = "rand-" + std::to_string(dim) + "-" + metric_str + ".hdf5"; | ||
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| knowhere::Json json; | ||
| json[knowhere::meta::DIM] = dim; | ||
| json[knowhere::meta::METRIC_TYPE] = metric_type; | ||
| json[knowhere::meta::TOPK] = topk; | ||
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| knowhere::DataSetPtr xb_ds, xq_ds; | ||
| if (is_binary) { | ||
| xb_ds = GenBinDataSet(nb, dim); | ||
| xq_ds = GenBinDataSet(nq, dim); | ||
| } else { | ||
| xb_ds = GenDataSet(nb, dim); | ||
| xq_ds = GenDataSet(nq, dim); | ||
| } | ||
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| auto result = knowhere::BruteForce::Search(xb_ds, xq_ds, json, nullptr); | ||
| assert(result.has_value()); | ||
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| // convert golden_ids to int32 | ||
| auto elem_cnt = nq * topk; | ||
| std::vector<int32_t> gt_ids_int(elem_cnt); | ||
| for (int32_t i = 0; i < elem_cnt; i++) { | ||
| gt_ids_int[i] = result.value()->GetIds()[i]; | ||
| } | ||
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| hdf5_write<is_binary>(fn.c_str(), dim, topk, xb_ds->GetTensor(), nb, xq_ds->GetTensor(), nq, gt_ids_int.data(), | ||
| result.value()->GetDistance()); | ||
| } | ||
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| template <bool is_binary> | ||
| void | ||
| create_range_hdf5_file(const knowhere::MetricType& metric_type, const int64_t nb, const int64_t nq, | ||
| const int64_t dim, const float radius) { | ||
| std::string metric_str = metric_type; | ||
| transform(metric_str.begin(), metric_str.end(), metric_str.begin(), ::tolower); | ||
| std::string fn = "rand-" + std::to_string(dim) + "-" + metric_str + "-range.hdf5"; | ||
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| knowhere::Json json; | ||
| json[knowhere::meta::DIM] = dim; | ||
| json[knowhere::meta::METRIC_TYPE] = metric_type; | ||
| json[knowhere::meta::RADIUS] = radius; | ||
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| knowhere::DataSetPtr xb_ds, xq_ds; | ||
| if (is_binary) { | ||
| xb_ds = GenBinDataSet(nb, dim); | ||
| xq_ds = GenBinDataSet(nq, dim); | ||
| } else { | ||
| xb_ds = GenDataSet(nb, dim); | ||
| xq_ds = GenDataSet(nq, dim); | ||
| } | ||
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| auto result = knowhere::BruteForce::RangeSearch(xb_ds, xq_ds, json, nullptr); | ||
| assert(result.has_value()); | ||
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| // convert golden_lims to int32 | ||
| std::vector<int32_t> gt_lims_int(nq + 1); | ||
| for (int32_t i = 0; i <= nq; i++) { | ||
| gt_lims_int[i] = result.value()->GetLims()[i]; | ||
| } | ||
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| // convert golden_ids to int32 | ||
| auto elem_cnt = result.value()->GetLims()[nq]; | ||
| std::vector<int32_t> gt_ids_int(elem_cnt); | ||
| for (int32_t i = 0; i < elem_cnt; i++) { | ||
| gt_ids_int[i] = result.value()->GetIds()[i]; | ||
| } | ||
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| hdf5_write_range<is_binary>(fn.c_str(), dim, xb_ds->GetTensor(), nb, xq_ds->GetTensor(), nq, radius, | ||
| gt_lims_int.data(), gt_ids_int.data(), result.value()->GetDistance()); | ||
| } | ||
| }; | ||
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| TEST_F(Create_HDF5, CREATE_FLOAT) { | ||
| int64_t nb = 10000; | ||
| int64_t nq = 100; | ||
| int64_t dim = 128; | ||
| int64_t topk = 100; | ||
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| create_hdf5_file<false>(knowhere::metric::L2, nb, nq, dim, topk); | ||
| create_hdf5_file<false>(knowhere::metric::IP, nb, nq, dim, topk); | ||
| create_hdf5_file<false>(knowhere::metric::COSINE, nb, nq, dim, topk); | ||
| } | ||
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| TEST_F(Create_HDF5, CREATE_FLOAT_RANGE) { | ||
| int64_t nb = 10000; | ||
| int64_t nq = 100; | ||
| int64_t dim = 128; | ||
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| create_range_hdf5_file<false>(knowhere::metric::L2, nb, nq, dim, 65.0); | ||
| create_range_hdf5_file<false>(knowhere::metric::IP, nb, nq, dim, 8.7); | ||
| create_range_hdf5_file<false>(knowhere::metric::COSINE, nb, nq, dim, 0.2); | ||
| } | ||
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| TEST_F(Create_HDF5, CREATE_BINARY) { | ||
| int64_t nb = 10000; | ||
| int64_t nq = 100; | ||
| int64_t dim = 1024; | ||
| int64_t topk = 100; | ||
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| create_hdf5_file<true>(knowhere::metric::HAMMING, nb, nq, dim, topk); | ||
| create_hdf5_file<true>(knowhere::metric::JACCARD, nb, nq, dim, topk); | ||
| } | ||
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| TEST_F(Create_HDF5, CREATE_BINARY_RANGE) { | ||
| int64_t nb = 10000; | ||
| int64_t nq = 100; | ||
| int64_t dim = 1024; | ||
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| create_range_hdf5_file<true>(knowhere::metric::HAMMING, nb, nq, dim, 476); | ||
| create_range_hdf5_file<true>(knowhere::metric::JACCARD, nb, nq, dim, 0.63); | ||
| } |