-
Notifications
You must be signed in to change notification settings - Fork 309
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #3901 from rapidsai/branch-23.10
Forward-merge branch-23.10 to branch-23.12
- Loading branch information
Showing
17 changed files
with
759 additions
and
167 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,150 @@ | ||
| /* | ||
| * Copyright (c) 2023, 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. | ||
| */ | ||
|
|
||
| #include <cugraph_c/algorithms.h> | ||
|
|
||
| #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> | ||
|
|
||
| #include <cugraph/algorithms.hpp> | ||
| #include <cugraph/detail/shuffle_wrappers.hpp> | ||
| #include <cugraph/detail/utility_wrappers.hpp> | ||
| #include <cugraph/graph_functions.hpp> | ||
|
|
||
| #include <optional> | ||
|
|
||
| namespace { | ||
|
|
||
| struct k_truss_functor : public cugraph::c_api::abstract_functor { | ||
| raft::handle_t const& handle_; | ||
| cugraph::c_api::cugraph_graph_t* graph_; | ||
| size_t k_; | ||
| bool do_expensive_check_; | ||
| cugraph::c_api::cugraph_induced_subgraph_result_t* result_{}; | ||
|
|
||
| k_truss_functor(::cugraph_resource_handle_t const* handle, | ||
| ::cugraph_graph_t* graph, | ||
| size_t k, | ||
| 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)), | ||
| k_(k), | ||
| do_expensive_check_(do_expensive_check) | ||
| { | ||
| } | ||
|
|
||
| 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_legacy<vertex_t, edge_t, weight_t>::value) { | ||
| unsupported(); | ||
| } else if constexpr (multi_gpu) { | ||
| unsupported(); | ||
| } else { | ||
| // k_truss 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; | ||
| } | ||
|
|
||
| auto graph = | ||
| reinterpret_cast<cugraph::graph_t<vertex_t, edge_t, false, multi_gpu>*>(graph_->graph_); | ||
|
|
||
| auto edge_weights = reinterpret_cast< | ||
| cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, false, multi_gpu>, | ||
| weight_t>*>(graph_->edge_weights_); | ||
|
|
||
| auto number_map = reinterpret_cast<rmm::device_uvector<vertex_t>*>(graph_->number_map_); | ||
|
|
||
| auto graph_view = graph->view(); | ||
| rmm::device_uvector<vertex_t> src(0, handle_.get_stream()); | ||
| rmm::device_uvector<vertex_t> dst(0, handle_.get_stream()); | ||
| std::optional<rmm::device_uvector<weight_t>> wgt{std::nullopt}; | ||
|
|
||
| std::tie(src, dst, wgt, std::ignore) = cugraph::decompress_to_edgelist( | ||
| handle_, | ||
| graph_view, | ||
| edge_weights ? std::make_optional(edge_weights->view()) : std::nullopt, | ||
| std::optional<cugraph::edge_property_view_t<edge_t, edge_t const*>>{std::nullopt}, | ||
| std::optional<raft::device_span<vertex_t const>>(std::nullopt), | ||
| do_expensive_check_); | ||
|
|
||
| auto [result_src, result_dst, result_wgt] = cugraph::k_truss_subgraph( | ||
| handle_, | ||
| raft::device_span<vertex_t>(src.data(), src.size()), | ||
| raft::device_span<vertex_t>(dst.data(), dst.size()), | ||
| wgt ? std::make_optional(raft::device_span<weight_t>(wgt->data(), wgt->size())) | ||
| : std::nullopt, | ||
| graph_view.number_of_vertices(), | ||
| k_); | ||
|
|
||
| cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>( | ||
| handle_, | ||
| result_src.data(), | ||
| result_src.size(), | ||
| number_map->data(), | ||
| graph_view.vertex_partition_range_lasts(), | ||
| do_expensive_check_); | ||
|
|
||
| cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>( | ||
| handle_, | ||
| result_dst.data(), | ||
| result_dst.size(), | ||
| number_map->data(), | ||
| graph_view.vertex_partition_range_lasts(), | ||
| do_expensive_check_); | ||
|
|
||
| rmm::device_uvector<size_t> edge_offsets(2, handle_.get_stream()); | ||
| std::vector<size_t> h_edge_offsets{{0, result_src.size()}}; | ||
| raft::update_device( | ||
| edge_offsets.data(), h_edge_offsets.data(), h_edge_offsets.size(), handle_.get_stream()); | ||
|
|
||
| result_ = new cugraph::c_api::cugraph_induced_subgraph_result_t{ | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(result_src, graph_->vertex_type_), | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(result_dst, graph_->vertex_type_), | ||
| wgt ? new cugraph::c_api::cugraph_type_erased_device_array_t(*result_wgt, | ||
| graph_->weight_type_) | ||
| : NULL, | ||
| new cugraph::c_api::cugraph_type_erased_device_array_t(edge_offsets, | ||
| cugraph_data_type_id_t::SIZE_T)}; | ||
| } | ||
| } | ||
| }; | ||
|
|
||
| } // namespace | ||
|
|
||
| extern "C" cugraph_error_code_t cugraph_k_truss_subgraph(const cugraph_resource_handle_t* handle, | ||
| cugraph_graph_t* graph, | ||
| size_t k, | ||
| bool_t do_expensive_check, | ||
| cugraph_induced_subgraph_result_t** result, | ||
| cugraph_error_t** error) | ||
| { | ||
| k_truss_functor functor(handle, graph, k, do_expensive_check); | ||
|
|
||
| return cugraph::c_api::run_algorithm(graph, functor, result, error); | ||
| } |
Oops, something went wrong.