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Define and implement C/C++ for MNMG Egonet (#2864)
Define and implement C API for egonet. This will help us eliminate dependence on `cython.cu`. Closes #2906 Closes #2907 Closes #2908 Closes #2909 Closes #2910 Closes #2911 Authors: - Chuck Hastings (https://github.com/ChuckHastings) Approvers: - Seunghwa Kang (https://github.com/seunghwak) - Joseph Nke (https://github.com/jnke2016) URL: #2864
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| /* | ||
| * Copyright (c) 2022, NVIDIA 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. | ||
| */ | ||
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| #include <cugraph_c/algorithms.h> | ||
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| #include <c_api/abstract_functor.hpp> | ||
| #include <c_api/graph.hpp> | ||
| #include <c_api/induced_subgraph_result.hpp> | ||
| #include <c_api/resource_handle.hpp> | ||
| #include <c_api/utils.hpp> | ||
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| #include <cugraph/algorithms.hpp> | ||
| #include <cugraph/detail/shuffle_wrappers.hpp> | ||
| #include <cugraph/detail/utility_wrappers.hpp> | ||
| #include <cugraph/graph_functions.hpp> | ||
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| #include <optional> | ||
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| namespace { | ||
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| struct extract_ego_functor : public cugraph::c_api::abstract_functor { | ||
| raft::handle_t const& handle_; | ||
| cugraph::c_api::cugraph_graph_t* graph_; | ||
| cugraph::c_api::cugraph_type_erased_device_array_view_t const* source_vertices_; | ||
| size_t radius_; | ||
| bool do_expensive_check_; | ||
| cugraph::c_api::cugraph_induced_subgraph_result_t* result_{}; | ||
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| extract_ego_functor(::cugraph_resource_handle_t const* handle, | ||
| ::cugraph_graph_t* graph, | ||
| ::cugraph_type_erased_device_array_view_t const* source_vertices, | ||
| size_t radius, | ||
| bool do_expensive_check) | ||
| : abstract_functor(), | ||
| handle_(*reinterpret_cast<cugraph::c_api::cugraph_resource_handle_t const*>(handle)->handle_), | ||
| graph_(reinterpret_cast<cugraph::c_api::cugraph_graph_t*>(graph)), | ||
| source_vertices_( | ||
| reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>( | ||
| source_vertices)), | ||
| radius_(radius), | ||
| do_expensive_check_(do_expensive_check) | ||
| { | ||
| } | ||
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| template <typename vertex_t, | ||
| typename edge_t, | ||
| typename weight_t, | ||
| typename edge_type_type_t, | ||
| bool store_transposed, | ||
| bool multi_gpu> | ||
| void operator()() | ||
| { | ||
| if constexpr (!cugraph::is_candidate<vertex_t, edge_t, weight_t>::value) { | ||
| unsupported(); | ||
| } else { | ||
| // extract ego expects store_transposed == false | ||
| if constexpr (store_transposed) { | ||
| error_code_ = cugraph::c_api:: | ||
| transpose_storage<vertex_t, edge_t, weight_t, store_transposed, multi_gpu>( | ||
| handle_, graph_, error_.get()); | ||
| if (error_code_ != CUGRAPH_SUCCESS) return; | ||
| } | ||
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| auto graph = | ||
| reinterpret_cast<cugraph::graph_t<vertex_t, edge_t, weight_t, false, multi_gpu>*>( | ||
| graph_->graph_); | ||
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| auto graph_view = graph->view(); | ||
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| auto number_map = reinterpret_cast<rmm::device_uvector<vertex_t>*>(graph_->number_map_); | ||
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| rmm::device_uvector<vertex_t> source_vertices(source_vertices_->size_, handle_.get_stream()); | ||
| raft::copy(source_vertices.data(), | ||
| source_vertices_->as_type<vertex_t>(), | ||
| source_vertices.size(), | ||
| handle_.get_stream()); | ||
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| if constexpr (multi_gpu) { | ||
| source_vertices = | ||
| cugraph::detail::shuffle_ext_vertices_by_gpu_id(handle_, std::move(source_vertices)); | ||
| } | ||
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| cugraph::renumber_ext_vertices<vertex_t, multi_gpu>( | ||
| handle_, | ||
| source_vertices.data(), | ||
| source_vertices.size(), | ||
| number_map->data(), | ||
| graph_view.local_vertex_partition_range_first(), | ||
| graph_view.local_vertex_partition_range_last(), | ||
| do_expensive_check_); | ||
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| auto [src, dst, wgt, edge_offsets] = | ||
| cugraph::extract_ego<vertex_t, edge_t, weight_t, multi_gpu>( | ||
| handle_, | ||
| graph_view, | ||
| raft::device_span<vertex_t const>{source_vertices.data(), source_vertices.size()}, | ||
| radius_, | ||
| do_expensive_check_); | ||
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| cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>( | ||
| handle_, | ||
| src.data(), | ||
| src.size(), | ||
| number_map->data(), | ||
| graph_view.vertex_partition_range_lasts(), | ||
| do_expensive_check_); | ||
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| cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>( | ||
| handle_, | ||
| dst.data(), | ||
| dst.size(), | ||
| number_map->data(), | ||
| graph_view.vertex_partition_range_lasts(), | ||
| do_expensive_check_); | ||
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| result_ = new cugraph::c_api::cugraph_induced_subgraph_result_t{ | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(src, graph_->vertex_type_), | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(dst, graph_->edge_type_), | ||
| wgt ? new cugraph::c_api::cugraph_type_erased_device_array_t(*wgt, graph_->edge_type_) | ||
| : NULL, | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(edge_offsets, | ||
| data_type_id_t::SIZE_T)}; | ||
| } | ||
| } | ||
| }; | ||
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| } // namespace | ||
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| extern "C" cugraph_error_code_t cugraph_extract_ego( | ||
| const cugraph_resource_handle_t* handle, | ||
| cugraph_graph_t* graph, | ||
| const cugraph_type_erased_device_array_view_t* source_vertices, | ||
| size_t radius, | ||
| bool_t do_expensive_check, | ||
| cugraph_induced_subgraph_result_t** result, | ||
| cugraph_error_t** error) | ||
| { | ||
| extract_ego_functor functor(handle, graph, source_vertices, radius, do_expensive_check); | ||
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| return cugraph::c_api::run_algorithm(graph, functor, result, error); | ||
| } |
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