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neighbor_sampling.cpp
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/*
* Copyright (c) 2022-2025, 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 "c_api/abstract_functor.hpp"
#include "c_api/graph.hpp"
#include "c_api/graph_helper.hpp"
#include "c_api/properties.hpp"
#include "c_api/random.hpp"
#include "c_api/resource_handle.hpp"
#include "c_api/utils.hpp"
#include "sampling/detail/sampling_utils.hpp"
#include <cugraph_c/algorithms.h>
#include <cugraph_c/sampling_algorithms.h>
#include <cugraph/algorithms.hpp>
#include <cugraph/detail/shuffle_wrappers.hpp>
#include <cugraph/detail/utility_wrappers.hpp>
#include <cugraph/sampling_functions.hpp>
#include <raft/core/handle.hpp>
namespace cugraph {
namespace c_api {
struct cugraph_sampling_options_t {
bool_t with_replacement_{FALSE};
bool_t return_hops_{FALSE};
prior_sources_behavior_t prior_sources_behavior_{prior_sources_behavior_t::DEFAULT};
bool_t dedupe_sources_{FALSE};
bool_t renumber_results_{FALSE};
cugraph_compression_type_t compression_type_{cugraph_compression_type_t::COO};
bool_t compress_per_hop_{FALSE};
bool_t retain_seeds_{FALSE};
};
struct sampling_flags_t {
prior_sources_behavior_t prior_sources_behavior_{prior_sources_behavior_t::DEFAULT};
bool_t return_hops_{FALSE};
bool_t dedupe_sources_{FALSE};
bool_t with_replacement_{FALSE};
};
struct cugraph_sample_result_t {
cugraph_type_erased_device_array_t* major_offsets_{nullptr};
cugraph_type_erased_device_array_t* majors_{nullptr};
cugraph_type_erased_device_array_t* minors_{nullptr};
cugraph_type_erased_device_array_t* edge_id_{nullptr};
cugraph_type_erased_device_array_t* edge_type_{nullptr};
cugraph_type_erased_device_array_t* wgt_{nullptr};
cugraph_type_erased_device_array_t* hop_{nullptr};
cugraph_type_erased_device_array_t* label_hop_offsets_{nullptr};
cugraph_type_erased_device_array_t* label_type_hop_offsets_{nullptr};
cugraph_type_erased_device_array_t* label_{nullptr};
cugraph_type_erased_device_array_t* renumber_map_{nullptr};
cugraph_type_erased_device_array_t* renumber_map_offsets_{nullptr};
cugraph_type_erased_device_array_t* edge_renumber_map_{nullptr};
cugraph_type_erased_device_array_t* edge_renumber_map_offsets_{nullptr};
};
} // namespace c_api
} // namespace cugraph
namespace {
// Deprecated functor
struct uniform_neighbor_sampling_functor : public cugraph::c_api::abstract_functor {
raft::handle_t const& handle_;
cugraph::c_api::cugraph_graph_t* graph_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* start_vertices_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* start_vertex_labels_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_list_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_to_comm_rank_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_offsets_{nullptr};
cugraph::c_api::cugraph_type_erased_host_array_view_t const* fan_out_{nullptr};
cugraph::c_api::cugraph_rng_state_t* rng_state_{nullptr};
cugraph::c_api::cugraph_sampling_options_t options_{};
bool do_expensive_check_{false};
cugraph::c_api::cugraph_sample_result_t* result_{nullptr};
uniform_neighbor_sampling_functor(
cugraph_resource_handle_t const* handle,
cugraph_graph_t* graph,
cugraph_type_erased_device_array_view_t const* start_vertices,
cugraph_type_erased_device_array_view_t const* start_vertex_labels,
cugraph_type_erased_device_array_view_t const* label_list,
cugraph_type_erased_device_array_view_t const* label_to_comm_rank,
cugraph_type_erased_device_array_view_t const* label_offsets,
cugraph_type_erased_host_array_view_t const* fan_out,
cugraph_rng_state_t* rng_state,
cugraph::c_api::cugraph_sampling_options_t options,
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)),
start_vertices_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
start_vertices)),
start_vertex_labels_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
start_vertex_labels)),
label_list_(reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_list)),
label_to_comm_rank_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_to_comm_rank)),
label_offsets_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_offsets)),
fan_out_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_host_array_view_t const*>(fan_out)),
rng_state_(reinterpret_cast<cugraph::c_api::cugraph_rng_state_t*>(rng_state)),
options_(options),
do_expensive_check_(do_expensive_check)
{
}
template <typename vertex_t,
typename edge_t,
typename weight_t,
typename edge_type_t,
bool store_transposed,
bool multi_gpu>
void operator()()
{
using label_t = int32_t;
// FIXME: Think about how to handle SG vice MG
if constexpr (!cugraph::is_candidate<vertex_t, edge_t, weight_t>::value) {
unsupported();
} else {
// uniform_nbr_sample 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 graph_view = graph->view();
auto edge_weights = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
weight_t>*>(graph_->edge_weights_);
auto edge_ids = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_t>*>(graph_->edge_ids_);
auto edge_types = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_type_t>*>(graph_->edge_types_);
auto number_map = reinterpret_cast<rmm::device_uvector<vertex_t>*>(graph_->number_map_);
rmm::device_uvector<vertex_t> start_vertices(start_vertices_->size_, handle_.get_stream());
raft::copy(start_vertices.data(),
start_vertices_->as_type<vertex_t>(),
start_vertices.size(),
handle_.get_stream());
std::optional<rmm::device_uvector<label_t>> start_vertex_labels{std::nullopt};
if (start_vertex_labels_ != nullptr) {
start_vertex_labels =
rmm::device_uvector<label_t>{start_vertex_labels_->size_, handle_.get_stream()};
raft::copy(start_vertex_labels->data(),
start_vertex_labels_->as_type<label_t>(),
start_vertex_labels_->size_,
handle_.get_stream());
}
if constexpr (multi_gpu) {
if (start_vertex_labels) {
std::tie(start_vertices, *start_vertex_labels) =
cugraph::detail::shuffle_ext_vertex_value_pairs_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices), std::move(*start_vertex_labels));
} else {
start_vertices =
cugraph::detail::shuffle_ext_vertices_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices));
}
}
//
// Need to renumber start_vertices
//
cugraph::renumber_local_ext_vertices<vertex_t, multi_gpu>(
handle_,
start_vertices.data(),
start_vertices.size(),
number_map->data(),
graph_view.local_vertex_partition_range_first(),
graph_view.local_vertex_partition_range_last(),
do_expensive_check_);
auto&& [src, dst, wgt, edge_id, edge_type, hop, edge_label, offsets] =
cugraph::uniform_neighbor_sample(
handle_,
graph_view,
(edge_weights != nullptr) ? std::make_optional(edge_weights->view()) : std::nullopt,
(edge_ids != nullptr) ? std::make_optional(edge_ids->view()) : std::nullopt,
(edge_types != nullptr) ? std::make_optional(edge_types->view()) : std::nullopt,
raft::device_span<vertex_t const>{start_vertices.data(), start_vertices.size()},
(start_vertex_labels_ != nullptr)
? std::make_optional<raft::device_span<label_t const>>(start_vertex_labels->data(),
start_vertex_labels->size())
: std::nullopt,
(label_list_ != nullptr)
? std::make_optional(std::make_tuple(
raft::device_span<label_t const>{label_list_->as_type<label_t>(),
label_list_->size_},
raft::device_span<label_t const>{label_to_comm_rank_->as_type<label_t>(),
label_to_comm_rank_->size_}))
: std::nullopt,
raft::host_span<const int>(fan_out_->as_type<const int>(), fan_out_->size_),
rng_state_->rng_state_,
options_.return_hops_,
options_.with_replacement_,
options_.prior_sources_behavior_,
options_.dedupe_sources_,
do_expensive_check_);
std::vector<vertex_t> vertex_partition_lasts = graph_view.vertex_partition_range_lasts();
cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>(handle_,
src.data(),
src.size(),
number_map->data(),
vertex_partition_lasts,
do_expensive_check_);
cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>(handle_,
dst.data(),
dst.size(),
number_map->data(),
vertex_partition_lasts,
do_expensive_check_);
std::optional<rmm::device_uvector<vertex_t>> majors{std::nullopt};
rmm::device_uvector<vertex_t> minors(0, handle_.get_stream());
std::optional<rmm::device_uvector<size_t>> major_offsets{std::nullopt};
std::optional<rmm::device_uvector<size_t>> label_hop_offsets{std::nullopt};
std::optional<rmm::device_uvector<vertex_t>> renumber_map{std::nullopt};
std::optional<rmm::device_uvector<size_t>> renumber_map_offsets{std::nullopt};
bool src_is_major = (options_.compression_type_ == cugraph_compression_type_t::CSR) ||
(options_.compression_type_ == cugraph_compression_type_t::DCSR) ||
(options_.compression_type_ == cugraph_compression_type_t::COO);
if (options_.renumber_results_) {
if (options_.compression_type_ == cugraph_compression_type_t::COO) {
// COO
rmm::device_uvector<vertex_t> output_majors(0, handle_.get_stream());
rmm::device_uvector<vertex_t> output_renumber_map(0, handle_.get_stream());
std::tie(output_majors,
minors,
wgt,
edge_id,
edge_type,
label_hop_offsets,
output_renumber_map,
renumber_map_offsets) =
cugraph::renumber_and_sort_sampled_edgelist<vertex_t>(
handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
options_.retain_seeds_
? std::make_optional(raft::device_span<vertex_t const>{
start_vertices_->as_type<vertex_t>(), start_vertices_->size_})
: std::nullopt,
options_.retain_seeds_ ? std::make_optional(raft::device_span<size_t const>{
label_offsets_->as_type<size_t>(), label_offsets_->size_})
: std::nullopt,
offsets ? std::make_optional(
raft::device_span<size_t const>{offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
do_expensive_check_);
majors.emplace(std::move(output_majors));
renumber_map.emplace(std::move(output_renumber_map));
} else {
// (D)CSC, (D)CSR
bool doubly_compress = (options_.compression_type_ == cugraph_compression_type_t::DCSR) ||
(options_.compression_type_ == cugraph_compression_type_t::DCSC);
rmm::device_uvector<size_t> output_major_offsets(0, handle_.get_stream());
rmm::device_uvector<vertex_t> output_renumber_map(0, handle_.get_stream());
std::tie(majors,
output_major_offsets,
minors,
wgt,
edge_id,
edge_type,
label_hop_offsets,
output_renumber_map,
renumber_map_offsets) =
cugraph::renumber_and_compress_sampled_edgelist<vertex_t>(
handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
options_.retain_seeds_
? std::make_optional(raft::device_span<vertex_t const>{
start_vertices_->as_type<vertex_t>(), start_vertices_->size_})
: std::nullopt,
options_.retain_seeds_ ? std::make_optional(raft::device_span<size_t const>{
label_offsets_->as_type<size_t>(), label_offsets_->size_})
: std::nullopt,
offsets ? std::make_optional(
raft::device_span<size_t const>{offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
options_.compress_per_hop_,
doubly_compress,
do_expensive_check_);
renumber_map.emplace(std::move(output_renumber_map));
major_offsets.emplace(std::move(output_major_offsets));
}
// These are now represented by label_hop_offsets
hop.reset();
offsets.reset();
} else {
if (options_.compression_type_ != cugraph_compression_type_t::COO) {
CUGRAPH_FAIL("Can only use COO format if not renumbering");
}
std::tie(src, dst, wgt, edge_id, edge_type, label_hop_offsets) =
cugraph::sort_sampled_edgelist(handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
offsets
? std::make_optional(raft::device_span<size_t const>{
offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
do_expensive_check_);
majors.emplace(std::move(src));
minors = std::move(dst);
hop.reset();
offsets.reset();
}
result_ = new cugraph::c_api::cugraph_sample_result_t{
(major_offsets)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*major_offsets, SIZE_T)
: nullptr,
(majors)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*majors, graph_->vertex_type_)
: nullptr,
new cugraph::c_api::cugraph_type_erased_device_array_t(minors, graph_->vertex_type_),
(edge_id)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*edge_id, graph_->edge_type_)
: nullptr,
(edge_type) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
*edge_type, graph_->edge_type_id_type_)
: nullptr,
(wgt) ? new cugraph::c_api::cugraph_type_erased_device_array_t(*wgt, graph_->weight_type_)
: nullptr,
(hop) ? new cugraph::c_api::cugraph_type_erased_device_array_t(*hop, INT32)
: nullptr, // FIXME get rid of this
(label_hop_offsets)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*label_hop_offsets, SIZE_T)
: nullptr,
nullptr,
(edge_label)
? new cugraph::c_api::cugraph_type_erased_device_array_t(edge_label.value(), INT32)
: nullptr,
(renumber_map) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
renumber_map.value(), graph_->vertex_type_)
: nullptr,
(renumber_map_offsets) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
renumber_map_offsets.value(), SIZE_T)
: nullptr,
nullptr,
nullptr};
}
}
};
// Deprecated functor
struct biased_neighbor_sampling_functor : public cugraph::c_api::abstract_functor {
raft::handle_t const& handle_;
cugraph::c_api::cugraph_graph_t* graph_{nullptr};
cugraph::c_api::cugraph_edge_property_view_t const* edge_biases_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* start_vertices_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* start_vertex_labels_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_list_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_to_comm_rank_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* label_offsets_{nullptr};
cugraph::c_api::cugraph_type_erased_host_array_view_t const* fan_out_{nullptr};
cugraph::c_api::cugraph_rng_state_t* rng_state_{nullptr};
cugraph::c_api::cugraph_sampling_options_t options_{};
bool do_expensive_check_{false};
cugraph::c_api::cugraph_sample_result_t* result_{nullptr};
biased_neighbor_sampling_functor(
cugraph_resource_handle_t const* handle,
cugraph_graph_t* graph,
cugraph_edge_property_view_t const* edge_biases,
cugraph_type_erased_device_array_view_t const* start_vertices,
cugraph_type_erased_device_array_view_t const* start_vertex_labels,
cugraph_type_erased_device_array_view_t const* label_list,
cugraph_type_erased_device_array_view_t const* label_to_comm_rank,
cugraph_type_erased_device_array_view_t const* label_offsets,
cugraph_type_erased_host_array_view_t const* fan_out,
cugraph_rng_state_t* rng_state,
cugraph::c_api::cugraph_sampling_options_t options,
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)),
edge_biases_(
reinterpret_cast<cugraph::c_api::cugraph_edge_property_view_t const*>(edge_biases)),
start_vertices_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
start_vertices)),
start_vertex_labels_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
start_vertex_labels)),
label_list_(reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_list)),
label_to_comm_rank_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_to_comm_rank)),
label_offsets_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
label_offsets)),
fan_out_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_host_array_view_t const*>(fan_out)),
rng_state_(reinterpret_cast<cugraph::c_api::cugraph_rng_state_t*>(rng_state)),
options_(options),
do_expensive_check_(do_expensive_check)
{
}
template <typename vertex_t,
typename edge_t,
typename weight_t,
typename edge_type_t,
bool store_transposed,
bool multi_gpu>
void operator()()
{
using label_t = int32_t;
// FIXME: Think about how to handle SG vice MG
if constexpr (!cugraph::is_candidate<vertex_t, edge_t, weight_t>::value) {
unsupported();
} else {
// uniform_nbr_sample 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 graph_view = graph->view();
auto edge_weights = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
weight_t>*>(graph_->edge_weights_);
auto edge_ids = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_t>*>(graph_->edge_ids_);
auto edge_types = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_type_t>*>(graph_->edge_types_);
auto number_map = reinterpret_cast<rmm::device_uvector<vertex_t>*>(graph_->number_map_);
auto edge_biases =
edge_biases_ ? reinterpret_cast<cugraph::edge_property_view_t<edge_t, weight_t const*>*>(
edge_biases_->edge_property_)
: nullptr;
rmm::device_uvector<vertex_t> start_vertices(start_vertices_->size_, handle_.get_stream());
raft::copy(start_vertices.data(),
start_vertices_->as_type<vertex_t>(),
start_vertices.size(),
handle_.get_stream());
std::optional<rmm::device_uvector<label_t>> start_vertex_labels{std::nullopt};
if (start_vertex_labels_ != nullptr) {
start_vertex_labels =
rmm::device_uvector<label_t>{start_vertex_labels_->size_, handle_.get_stream()};
raft::copy(start_vertex_labels->data(),
start_vertex_labels_->as_type<label_t>(),
start_vertex_labels_->size_,
handle_.get_stream());
}
if constexpr (multi_gpu) {
if (start_vertex_labels) {
std::tie(start_vertices, *start_vertex_labels) =
cugraph::detail::shuffle_ext_vertex_value_pairs_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices), std::move(*start_vertex_labels));
} else {
start_vertices =
cugraph::detail::shuffle_ext_vertices_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices));
}
}
//
// Need to renumber start_vertices
//
cugraph::renumber_local_ext_vertices<vertex_t, multi_gpu>(
handle_,
start_vertices.data(),
start_vertices.size(),
number_map->data(),
graph_view.local_vertex_partition_range_first(),
graph_view.local_vertex_partition_range_last(),
do_expensive_check_);
auto&& [src, dst, wgt, edge_id, edge_type, hop, edge_label, offsets] =
cugraph::biased_neighbor_sample(
handle_,
graph_view,
(edge_weights != nullptr) ? std::make_optional(edge_weights->view()) : std::nullopt,
(edge_ids != nullptr) ? std::make_optional(edge_ids->view()) : std::nullopt,
(edge_types != nullptr) ? std::make_optional(edge_types->view()) : std::nullopt,
(edge_biases != nullptr) ? *edge_biases : edge_weights->view(),
raft::device_span<vertex_t const>{start_vertices.data(), start_vertices.size()},
(start_vertex_labels_ != nullptr)
? std::make_optional<raft::device_span<label_t const>>(start_vertex_labels->data(),
start_vertex_labels->size())
: std::nullopt,
(label_list_ != nullptr)
? std::make_optional(std::make_tuple(
raft::device_span<label_t const>{label_list_->as_type<label_t>(),
label_list_->size_},
raft::device_span<label_t const>{label_to_comm_rank_->as_type<label_t>(),
label_to_comm_rank_->size_}))
: std::nullopt,
raft::host_span<const int>(fan_out_->as_type<const int>(), fan_out_->size_),
rng_state_->rng_state_,
options_.return_hops_,
options_.with_replacement_,
options_.prior_sources_behavior_,
options_.dedupe_sources_,
do_expensive_check_);
std::vector<vertex_t> vertex_partition_lasts = graph_view.vertex_partition_range_lasts();
cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>(handle_,
src.data(),
src.size(),
number_map->data(),
vertex_partition_lasts,
do_expensive_check_);
cugraph::unrenumber_int_vertices<vertex_t, multi_gpu>(handle_,
dst.data(),
dst.size(),
number_map->data(),
vertex_partition_lasts,
do_expensive_check_);
std::optional<rmm::device_uvector<vertex_t>> majors{std::nullopt};
rmm::device_uvector<vertex_t> minors(0, handle_.get_stream());
std::optional<rmm::device_uvector<size_t>> major_offsets{std::nullopt};
std::optional<rmm::device_uvector<size_t>> label_hop_offsets{std::nullopt};
std::optional<rmm::device_uvector<vertex_t>> renumber_map{std::nullopt};
std::optional<rmm::device_uvector<size_t>> renumber_map_offsets{std::nullopt};
bool src_is_major = (options_.compression_type_ == cugraph_compression_type_t::CSR) ||
(options_.compression_type_ == cugraph_compression_type_t::DCSR) ||
(options_.compression_type_ == cugraph_compression_type_t::COO);
if (options_.renumber_results_) {
if (options_.compression_type_ == cugraph_compression_type_t::COO) {
// COO
rmm::device_uvector<vertex_t> output_majors(0, handle_.get_stream());
rmm::device_uvector<vertex_t> output_renumber_map(0, handle_.get_stream());
std::tie(output_majors,
minors,
wgt,
edge_id,
edge_type,
label_hop_offsets,
output_renumber_map,
renumber_map_offsets) =
cugraph::renumber_and_sort_sampled_edgelist<vertex_t>(
handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
options_.retain_seeds_
? std::make_optional(raft::device_span<vertex_t const>{
start_vertices_->as_type<vertex_t>(), start_vertices_->size_})
: std::nullopt,
options_.retain_seeds_ ? std::make_optional(raft::device_span<size_t const>{
label_offsets_->as_type<size_t>(), label_offsets_->size_})
: std::nullopt,
offsets ? std::make_optional(
raft::device_span<size_t const>{offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
do_expensive_check_);
majors.emplace(std::move(output_majors));
renumber_map.emplace(std::move(output_renumber_map));
} else {
// (D)CSC, (D)CSR
bool doubly_compress = (options_.compression_type_ == cugraph_compression_type_t::DCSR) ||
(options_.compression_type_ == cugraph_compression_type_t::DCSC);
rmm::device_uvector<size_t> output_major_offsets(0, handle_.get_stream());
rmm::device_uvector<vertex_t> output_renumber_map(0, handle_.get_stream());
std::tie(majors,
output_major_offsets,
minors,
wgt,
edge_id,
edge_type,
label_hop_offsets,
output_renumber_map,
renumber_map_offsets) =
cugraph::renumber_and_compress_sampled_edgelist<vertex_t>(
handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
options_.retain_seeds_
? std::make_optional(raft::device_span<vertex_t const>{
start_vertices_->as_type<vertex_t>(), start_vertices_->size_})
: std::nullopt,
options_.retain_seeds_ ? std::make_optional(raft::device_span<size_t const>{
label_offsets_->as_type<size_t>(), label_offsets_->size_})
: std::nullopt,
offsets ? std::make_optional(
raft::device_span<size_t const>{offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
options_.compress_per_hop_,
doubly_compress,
do_expensive_check_);
renumber_map.emplace(std::move(output_renumber_map));
major_offsets.emplace(std::move(output_major_offsets));
}
// These are now represented by label_hop_offsets
hop.reset();
offsets.reset();
} else {
if (options_.compression_type_ != cugraph_compression_type_t::COO) {
CUGRAPH_FAIL("Can only use COO format if not renumbering");
}
std::tie(src, dst, wgt, edge_id, edge_type, label_hop_offsets) =
cugraph::sort_sampled_edgelist(handle_,
std::move(src),
std::move(dst),
std::move(wgt),
std::move(edge_id),
std::move(edge_type),
std::move(hop),
offsets
? std::make_optional(raft::device_span<size_t const>{
offsets->data(), offsets->size()})
: std::nullopt,
edge_label ? edge_label->size() : size_t{1},
hop ? fan_out_->size_ : size_t{1},
src_is_major,
do_expensive_check_);
majors.emplace(std::move(src));
minors = std::move(dst);
hop.reset();
offsets.reset();
}
result_ = new cugraph::c_api::cugraph_sample_result_t{
(major_offsets)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*major_offsets, SIZE_T)
: nullptr,
(majors)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*majors, graph_->vertex_type_)
: nullptr,
new cugraph::c_api::cugraph_type_erased_device_array_t(minors, graph_->vertex_type_),
(edge_id)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*edge_id, graph_->edge_type_)
: nullptr,
(edge_type) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
*edge_type, graph_->edge_type_id_type_)
: nullptr,
(wgt) ? new cugraph::c_api::cugraph_type_erased_device_array_t(*wgt, graph_->weight_type_)
: nullptr,
(hop) ? new cugraph::c_api::cugraph_type_erased_device_array_t(*hop, INT32)
: nullptr, // FIXME get rid of this
(label_hop_offsets)
? new cugraph::c_api::cugraph_type_erased_device_array_t(*label_hop_offsets, SIZE_T)
: nullptr,
nullptr,
(edge_label)
? new cugraph::c_api::cugraph_type_erased_device_array_t(edge_label.value(), INT32)
: nullptr,
(renumber_map) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
renumber_map.value(), graph_->vertex_type_)
: nullptr,
(renumber_map_offsets) ? new cugraph::c_api::cugraph_type_erased_device_array_t(
renumber_map_offsets.value(), SIZE_T)
: nullptr,
nullptr,
nullptr};
}
}
};
struct neighbor_sampling_functor : public cugraph::c_api::abstract_functor {
raft::handle_t const& handle_;
cugraph::c_api::cugraph_rng_state_t* rng_state_{nullptr};
cugraph::c_api::cugraph_graph_t* graph_{nullptr};
cugraph::c_api::cugraph_edge_property_view_t const* edge_biases_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* start_vertices_{nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* starting_vertex_label_offsets_{
nullptr};
cugraph::c_api::cugraph_type_erased_device_array_view_t const* vertex_type_offsets_{nullptr};
cugraph::c_api::cugraph_type_erased_host_array_view_t const* fan_out_{nullptr};
int num_edge_types_{};
cugraph::c_api::cugraph_sampling_options_t options_{};
bool is_biased_{false};
bool do_expensive_check_{false};
cugraph::c_api::cugraph_sample_result_t* result_{nullptr};
neighbor_sampling_functor(
cugraph_resource_handle_t const* handle,
cugraph_rng_state_t* rng_state,
cugraph_graph_t* graph,
cugraph_edge_property_view_t const* edge_biases,
cugraph_type_erased_device_array_view_t const* start_vertices,
cugraph_type_erased_device_array_view_t const* starting_vertex_label_offsets,
cugraph_type_erased_device_array_view_t const* vertex_type_offsets,
cugraph_type_erased_host_array_view_t const* fan_out,
int num_edge_types,
cugraph::c_api::cugraph_sampling_options_t options,
bool is_biased,
bool do_expensive_check)
: abstract_functor(),
handle_(*reinterpret_cast<cugraph::c_api::cugraph_resource_handle_t const*>(handle)->handle_),
rng_state_(reinterpret_cast<cugraph::c_api::cugraph_rng_state_t*>(rng_state)),
graph_(reinterpret_cast<cugraph::c_api::cugraph_graph_t*>(graph)),
edge_biases_(
reinterpret_cast<cugraph::c_api::cugraph_edge_property_view_t const*>(edge_biases)),
start_vertices_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
start_vertices)),
starting_vertex_label_offsets_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
starting_vertex_label_offsets)),
vertex_type_offsets_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_device_array_view_t const*>(
vertex_type_offsets)),
fan_out_(
reinterpret_cast<cugraph::c_api::cugraph_type_erased_host_array_view_t const*>(fan_out)),
num_edge_types_(num_edge_types),
options_(options),
is_biased_(is_biased),
do_expensive_check_(do_expensive_check)
{
}
template <typename vertex_t,
typename edge_t,
typename weight_t,
typename edge_type_t,
bool store_transposed,
bool multi_gpu>
void operator()()
{
using label_t = int32_t;
// FIXME: Think about how to handle SG vice MG
if constexpr (!cugraph::is_candidate<vertex_t, edge_t, weight_t>::value) {
unsupported();
} else {
// uniform_nbr_sample 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 graph_view = graph->view();
auto edge_weights = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
weight_t>*>(graph_->edge_weights_);
auto edge_ids = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_t>*>(graph_->edge_ids_);
auto edge_types = reinterpret_cast<
cugraph::edge_property_t<cugraph::graph_view_t<vertex_t, edge_t, true, multi_gpu>,
edge_type_t>*>(graph_->edge_types_);
auto number_map = reinterpret_cast<rmm::device_uvector<vertex_t>*>(graph_->number_map_);
auto edge_biases =
edge_biases_ ? reinterpret_cast<cugraph::edge_property_view_t<edge_t, weight_t const*>*>(
edge_biases_->edge_property_)
: nullptr;
rmm::device_uvector<vertex_t> start_vertices(start_vertices_->size_, handle_.get_stream());
raft::copy(start_vertices.data(),
start_vertices_->as_type<vertex_t>(),
start_vertices.size(),
handle_.get_stream());
std::optional<rmm::device_uvector<label_t>> start_vertex_labels{std::nullopt};
std::optional<rmm::device_uvector<label_t>> label_to_comm_rank{
std::nullopt}; // global after allgatherv
std::optional<rmm::device_uvector<edge_t>> renumbered_and_sorted_edge_id_renumber_map(
std::nullopt);
std::optional<rmm::device_uvector<size_t>>
renumbered_and_sorted_edge_id_renumber_map_label_type_offsets(std::nullopt);
if (starting_vertex_label_offsets_ != nullptr) {
// Retrieve the start_vertex_labels
start_vertex_labels = cugraph::detail::convert_starting_vertex_label_offsets_to_labels(
handle_,
raft::device_span<size_t const>{starting_vertex_label_offsets_->as_type<size_t>(),
starting_vertex_label_offsets_->size_});
// Get the number of labels on each GPU
if constexpr (multi_gpu) {
auto num_local_labels = starting_vertex_label_offsets_->size_ - 1;
auto global_labels = cugraph::host_scalar_allgather(
handle_.get_comms(), num_local_labels, handle_.get_stream());
std::exclusive_scan(
global_labels.begin(), global_labels.end(), global_labels.begin(), label_t{0});
// Compute the global starting_vertex_label_offsets
cugraph::detail::transform_increment_ints(
raft::device_span<label_t>{(*start_vertex_labels).data(),
(*start_vertex_labels).size()},
(label_t)global_labels[handle_.get_comms().get_rank()],
handle_.get_stream());
rmm::device_uvector<label_t> unique_labels((*start_vertex_labels).size(),
handle_.get_stream());
raft::copy(unique_labels.data(),
(*start_vertex_labels).data(),
unique_labels.size(),
handle_.get_stream());
// Get unique labels
// sort the start_vertex_labels
cugraph::detail::sort_ints(
handle_.get_stream(),
raft::device_span<label_t>{unique_labels.data(), unique_labels.size()});
auto num_unique_labels = cugraph::detail::unique_ints(
handle_.get_stream(),
raft::device_span<label_t>{unique_labels.data(), unique_labels.size()});
rmm::device_uvector<label_t> local_label_to_comm_rank(num_unique_labels,
handle_.get_stream());
cugraph::detail::scalar_fill(
handle_.get_stream(),
local_label_to_comm_rank.begin(), // This should be rename to rank
local_label_to_comm_rank.size(),
label_t{handle_.get_comms().get_rank()});
// Perform allgather to get global_label_to_comm_rank_d_vector
auto recvcounts = cugraph::host_scalar_allgather(
handle_.get_comms(), num_unique_labels, handle_.get_stream());
std::vector<size_t> displacements(recvcounts.size());
std::exclusive_scan(
recvcounts.begin(), recvcounts.end(), displacements.begin(), size_t{0});
label_to_comm_rank = rmm::device_uvector<label_t>(
displacements.back() + recvcounts.back(), handle_.get_stream());
cugraph::device_allgatherv(handle_.get_comms(),
local_label_to_comm_rank.begin(),
(*label_to_comm_rank).begin(),
recvcounts,
displacements,
handle_.get_stream());
std::tie(start_vertices, *start_vertex_labels) =
cugraph::detail::shuffle_ext_vertex_value_pairs_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices), std::move(*start_vertex_labels));
}
} else {
if constexpr (multi_gpu) {
start_vertices =
cugraph::detail::shuffle_ext_vertices_to_local_gpu_by_vertex_partitioning(
handle_, std::move(start_vertices));
}
}
//
// Need to renumber start_vertices
//
cugraph::renumber_local_ext_vertices<vertex_t, multi_gpu>(
handle_,
start_vertices.data(),
start_vertices.size(),
number_map->data(),
graph_view.local_vertex_partition_range_first(),
graph_view.local_vertex_partition_range_last(),
do_expensive_check_);
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::optional<rmm::device_uvector<edge_t>> edge_id{std::nullopt};
std::optional<rmm::device_uvector<edge_type_t>> edge_type{std::nullopt};
std::optional<rmm::device_uvector<int32_t>> hop{std::nullopt};
std::optional<rmm::device_uvector<label_t>> edge_label{std::nullopt};
std::optional<rmm::device_uvector<size_t>> offsets{std::nullopt};
// FIXME: For biased sampling, the user should pass either biases or edge weights,
// otherwised throw an error and suggest the user to call uniform neighbor sample instead
if (num_edge_types_ > 1) {
// call heterogeneous neighbor sample
if (is_biased_) {
std::tie(src, dst, wgt, edge_id, edge_type, hop, offsets) =
cugraph::heterogeneous_biased_neighbor_sample(