Developer Guide and Reference

  • 2021.4
  • 09/27/2021
  • Public Content
Contents

jaccard_batch.cpp

/******************************************************************************* * Copyright 2020-2021 Intel Corporation * * 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. *******************************************************************************/ #include <iostream> #include "example_util/output_helpers_graph.hpp" #include "example_util/utils.hpp" #include "oneapi/dal/algo/jaccard.hpp" #include "oneapi/dal/graph/undirected_adjacency_vector_graph.hpp" #include "oneapi/dal/io/csv.hpp" #include "oneapi/dal/table/common.hpp" namespace dal = oneapi::dal; int main(int argc, char **argv) { const auto filename = get_data_path("graph.csv"); // read the graph using graph_t = dal::preview::undirected_adjacency_vector_graph<>; const auto graph = dal::read<graph_t>(dal::csv::data_source{ filename }); // set blocks ranges const std::int64_t row_range_begin = 0; const std::int64_t row_range_end = 2; const std::int64_t column_range_begin = 0; const std::int64_t column_range_end = 3; // set algorithm parameters const auto jaccard_desc = dal::preview::jaccard::descriptor<>().set_block({ row_range_begin, row_range_end }, { column_range_begin, column_range_end }); // create caching builder for jaccard result dal::preview::jaccard::caching_builder builder; // compute Jaccard similarity coefficients const auto result_vertex_similarity = dal::preview::vertex_similarity(jaccard_desc, graph, builder); // extract the result const auto jaccard_coeffs = result_vertex_similarity.get_coeffs(); const auto vertex_pairs = result_vertex_similarity.get_vertex_pairs(); const std::int64_t nonzero_coeff_count = result_vertex_similarity.get_nonzero_coeff_count(); std::cout << "The number of nonzero Jaccard coeffs in the block: " << nonzero_coeff_count << std::endl; print_vertex_similarity_result(result_vertex_similarity); }

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.