Optimise Flow Algorithm/Datastructures in use

This commit is contained in:
Moritz Kobitzsch
2017-01-26 10:34:01 +01:00
committed by Patrick Niklaus
parent dd60ae31ae
commit 786be6f570
23 changed files with 794 additions and 425 deletions
+1 -2
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@@ -7,7 +7,6 @@
#include "engine/trip/trip_nearest_neighbour.hpp"
#include "util/dist_table_wrapper.hpp" // to access the dist table more easily
#include "util/json_container.hpp"
#include "util/matrix_graph_wrapper.hpp" // wrapper to use tarjan scc on dist table
#include <boost/assert.hpp>
@@ -263,4 +262,4 @@ Status TripPlugin::HandleRequest(const std::shared_ptr<const datafacade::BaseDat
}
}
}
}
}
+2 -3
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@@ -380,10 +380,9 @@ void Extractor::FindComponents(unsigned max_edge_id,
auto new_end = std::unique(edges.begin(), edges.end());
edges.resize(new_end - edges.begin());
auto uncontractor_graph = std::make_shared<UncontractedGraph>(max_edge_id + 1, edges);
auto uncontracted_graph = UncontractedGraph(max_edge_id + 1, edges);
TarjanSCC<UncontractedGraph> component_search(
std::const_pointer_cast<const UncontractedGraph>(uncontractor_graph));
TarjanSCC<UncontractedGraph> component_search(uncontracted_graph);
component_search.Run();
for (auto &node : input_nodes)
+229 -96
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@@ -1,74 +1,167 @@
#include "partition/dinic_max_flow.hpp"
#include <algorithm>
#include <limits>
#include <queue>
#include <set>
#include <stack>
namespace osrm
{
namespace partition
{
DinicMaxFlow::PartitionResult DinicMaxFlow::operator()(const GraphView &view,
const SourceSinkNodes &source_nodes,
const SourceSinkNodes &sink_nodes) const
namespace
{
FlowEdges flow;
const auto constexpr INVALID_LEVEL = std::numeric_limits<DinicMaxFlow::Level>::max();
} // end namespace
DinicMaxFlow::MinCut DinicMaxFlow::operator()(const GraphView &view,
const SourceSinkNodes &source_nodes,
const SourceSinkNodes &sink_nodes) const
{
std::vector<NodeID> border_source_nodes;
border_source_nodes.reserve(0.01 * source_nodes.size());
for (auto node : source_nodes)
{
for (const auto &edge : view.Edges(node))
{
const auto target = edge.target;
if (0 == source_nodes.count(target))
{
border_source_nodes.push_back(node);
break;
}
}
}
std::vector<NodeID> border_sink_nodes;
border_sink_nodes.reserve(0.01 * sink_nodes.size());
for (auto node : sink_nodes)
{
for (const auto &edge : view.Edges(node))
{
const auto target = edge.target;
if (0 == sink_nodes.count(target))
{
border_sink_nodes.push_back(node);
break;
}
}
}
// edges in current flow that have capacity
// The graph (V,E) contains undirected edges for all (u,v) \in V x V. We describe the flow as a
// set of vertices (s,t) with flow set to `true`. Since flow can be either from `s` to `t` or
// from `t` to `s`, we can remove `(s,t)` from the flow, if we send flow back the first time,
// and insert `(t,s)` only if we send flow again.
FlowEdges flow(view.NumberOfNodes());
do
{
const auto levels = ComputeLevelGraph(view, source_nodes, flow);
std::cout << "." << std::flush;
auto levels = ComputeLevelGraph(view, border_source_nodes, source_nodes, sink_nodes, flow);
// check if the sink can be reached from the source
const auto separated =
std::find_if(sink_nodes.begin(), sink_nodes.end(), [&levels](const auto node) {
return levels.find(node) != levels.end();
}) == sink_nodes.end();
const auto separated = std::find_if(border_sink_nodes.begin(),
border_sink_nodes.end(),
[&levels, &view](const auto node) {
return levels[node] != INVALID_LEVEL;
}) == border_sink_nodes.end();
// no further elements can be found
if (separated)
if (!separated)
{
// all elements within `levels` are on the source side
PartitionResult result(view.NumberOfNodes(), true);
for (auto itr = view.Begin(); itr != view.End(); ++itr)
{
if (levels.find(*itr) != levels.end())
result[std::distance(view.Begin(), itr)] = false;
}
return result;
BlockingFlow(flow, levels, view, source_nodes, border_sink_nodes);
}
else
{
// mark levels for all sources to not confuse make-cut
for (auto s : source_nodes)
levels[s] = 0;
return MakeCut(view, levels);
}
AugmentFlow(flow, view, source_nodes, sink_nodes, levels);
} while (true);
}
DinicMaxFlow::LevelGraph DinicMaxFlow::ComputeLevelGraph(const GraphView &view,
const SourceSinkNodes &source_nodes,
const FlowEdges &flow) const
DinicMaxFlow::MinCut DinicMaxFlow::MakeCut(const GraphView &view, const LevelGraph &levels) const
{
LevelGraph levels;
const auto is_sink_side = [&view, &levels](const NodeID nid) {
return levels[nid] == INVALID_LEVEL;
};
// all elements within `levels` are on the source side
// This part should opt to find the most balanced cut, which is not necessarily the case right
// now
std::vector<bool> result(view.NumberOfNodes(), true);
std::size_t source_side_count = view.NumberOfNodes();
for (auto itr = view.Begin(); itr != view.End(); ++itr)
{
if (is_sink_side(std::distance(view.Begin(), itr)))
{
result[std::distance(view.Begin(), itr)] = false;
--source_side_count;
}
}
std::size_t num_edges = 0;
for (auto itr = view.Begin(); itr != view.End(); ++itr)
{
const auto nid = std::distance(view.Begin(), itr);
const auto sink_side = is_sink_side(nid);
for (const auto &edge : view.Edges(nid))
{
if (is_sink_side(edge.target) != sink_side)
{
++num_edges;
}
}
}
return {source_side_count, num_edges, std::move(result)};
}
DinicMaxFlow::LevelGraph
DinicMaxFlow::ComputeLevelGraph(const GraphView &view,
const std::vector<NodeID> &border_source_nodes,
const SourceSinkNodes &source_nodes,
const SourceSinkNodes &sink_nodes,
const FlowEdges &flow) const
{
LevelGraph levels(view.NumberOfNodes(), INVALID_LEVEL);
std::queue<NodeID> level_queue;
for (const auto node : source_nodes)
for (const auto node_id : border_source_nodes)
{
levels[node] = 0;
level_queue.push(node);
levels[node_id] = 0;
level_queue.push(node_id);
for (const auto &edge : view.Edges(node_id))
{
const auto target = edge.target;
if (source_nodes.count(target))
{
levels[target] = 0;
}
}
}
// check if there is flow present on an edge
const auto has_flow = [&](const NodeID from, const NodeID to) {
return flow.find(std::make_pair(from, to)) != flow.end();
return flow[from].find(to) != flow[from].end();
};
// perform a relaxation step in the BFS algorithm
const auto relax_node = [&](const NodeID node_id, const std::uint32_t level) {
for (auto itr = view.EdgeBegin(node_id); itr != view.EdgeEnd(node_id); ++itr)
{
const auto target = view.GetTarget(*itr);
const auto relax_node = [&](const NodeID node_id, const Level level) {
// don't relax sink nodes
if (sink_nodes.count(node_id))
return;
for (const auto &edge : view.Edges(node_id))
{
const auto target = edge.target;
// don't relax edges with flow on them
if (has_flow(node_id, target))
continue;
// don't go back, only follow edges to new nodes
if (levels.find(target) == levels.end())
if (levels[target] > level)
{
level_queue.push(target);
levels[target] = level;
@@ -77,7 +170,7 @@ DinicMaxFlow::LevelGraph DinicMaxFlow::ComputeLevelGraph(const GraphView &view,
};
// compute the levels of level graph using BFS
for (std::uint32_t level = 1; !level_queue.empty(); ++level)
for (Level level = 1; !level_queue.empty(); ++level)
{
// run through the current level
auto steps = level_queue.size();
@@ -91,86 +184,126 @@ DinicMaxFlow::LevelGraph DinicMaxFlow::ComputeLevelGraph(const GraphView &view,
return levels;
}
void DinicMaxFlow::AugmentFlow(FlowEdges &flow,
const GraphView &view,
const SourceSinkNodes &source_nodes,
const SourceSinkNodes &sink_nodes,
const LevelGraph &levels) const
std::uint32_t DinicMaxFlow::BlockingFlow(FlowEdges &flow,
LevelGraph &levels,
const GraphView &view,
const SourceSinkNodes &source_nodes,
const std::vector<NodeID> &border_sink_nodes) const
{
const auto has_flow = [&](const auto from, const auto to) {
return flow.find(std::make_pair(from, to)) != flow.end();
};
std::uint32_t flow_increase = 0;
// augment the flow along a path in the level graph
const auto augment_flow = [&flow, &view](const std::vector<NodeID> &path) {
const auto augment_one = [&flow, &view](const NodeID from, const NodeID to) {
// find a path and augment the flow along its edges
// do a dfs on the level graph, augment all paths that are found
const auto find_and_augment_path = [&](const NodeID source) {
std::vector<NodeID> path;
auto has_path = findPath(source, path, view, levels, flow, sink_nodes);
if (has_path)
{
NodeID last = path.back();
path.pop_back();
// augment the flow graph with the flow
while (!path.empty())
// check if there is flow in the opposite direction
auto existing_edge = flow[to].find(from);
if (existing_edge != flow[to].end())
{
flow.insert(std::make_pair(path.back(), last));
// update the residual capacities correctly
const auto reverse_flow = flow.find(std::make_pair(last, path.back()));
if (reverse_flow != flow.end())
flow.erase(reverse_flow);
last = path.back();
path.pop_back();
// remove flow from reverse edges first
flow[to].erase(existing_edge);
}
return true;
}
else
{
else
{
// only add flow if no opposite flow exists
flow[from].insert(to);
}
// for adjacent find
return false;
}
};
// augment all adjacent edges
std::adjacent_find(path.begin(), path.end(), augment_one);
};
// find and augment the blocking flow
for (auto source : source_nodes)
std::vector<std::pair<std::uint32_t, NodeID>> reached_sinks;
for (auto sink : border_sink_nodes)
{
while (find_and_augment_path(source))
{ /*augment*/
if (levels[sink] != INVALID_LEVEL)
{
reached_sinks.push_back(std::make_pair(levels[sink], sink));
}
}
std::sort(reached_sinks.begin(), reached_sinks.end());
for (auto sink_itr = reached_sinks.begin(); sink_itr != reached_sinks.end();)
{
auto path = GetAugmentingPath(levels, sink_itr->second, view, flow, source_nodes);
if (!path.empty())
augment_flow(path);
else
++sink_itr;
}
return flow_increase;
}
bool DinicMaxFlow::findPath(const NodeID node_id,
std::vector<NodeID> &path,
const GraphView &view,
const LevelGraph &levels,
const FlowEdges &flow,
const SourceSinkNodes &sink_nodes) const
std::vector<NodeID> DinicMaxFlow::GetAugmentingPath(LevelGraph &levels,
const NodeID node_id,
const GraphView &view,
const FlowEdges &flow,
const SourceSinkNodes &source_nodes) const
{
path.push_back(node_id);
if (sink_nodes.find(node_id) != sink_nodes.end())
return true;
std::vector<NodeID> path;
BOOST_ASSERT(source_nodes.find(node_id) == source_nodes.end());
const auto node_level = levels.find(node_id)->second;
for (auto itr = view.EdgeBegin(node_id); itr != view.EdgeEnd(node_id); ++itr)
// Keeps the local state of the DFS in forms of the iterators
using DFSState = struct
{
const auto target = view.GetTarget(*itr);
BisectionGraph::ConstEdgeIterator edge_iterator;
const BisectionGraph::ConstEdgeIterator end_iterator;
};
// don't relax edges with flow on them
if (flow.find(std::make_pair(node_id, target)) != flow.end())
continue;
std::stack<DFSState> dfs_stack;
DFSState initial_state = {view.BeginEdges(node_id), view.EndEdges(node_id)};
dfs_stack.push(std::move(initial_state));
path.push_back(node_id);
// don't go back, only follow edges to new nodes
const auto level = levels.find(target)->second;
if( level != node_level + 1 )
continue;
while (!dfs_stack.empty())
{
// the dfs_stack and the path have to be kept in sync
BOOST_ASSERT(dfs_stack.size() == path.size());
if( findPath(target,path,view,levels,flow,sink_nodes) )
return true;
while (dfs_stack.top().edge_iterator != dfs_stack.top().end_iterator)
{
const auto target = dfs_stack.top().edge_iterator->target;
// look at every edge only once, so advance the state of the current node (last in
// path)
dfs_stack.top().edge_iterator++;
// check if the edge is valid
const auto has_capacity = flow[target].count(path.back()) == 0;
const auto descends_level_graph = levels[target] + 1 == levels[path.back()];
if (has_capacity && descends_level_graph)
{
// recurse
path.push_back(target);
// termination
if (source_nodes.find(target) != source_nodes.end())
{
std::reverse(path.begin(), path.end());
return path;
}
// start next iteration
dfs_stack.push({view.BeginEdges(target), view.EndEdges(target)});
}
}
// backtrack - mark that there is no way to the target
levels[path.back()] = -1;
path.pop_back();
dfs_stack.pop();
}
path.pop_back();
return false;
BOOST_ASSERT(path.empty());
return path;
}
} // namespace partition
+15 -54
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@@ -8,77 +8,38 @@ namespace osrm
namespace partition
{
HasSamePartitionID::HasSamePartitionID(const RecursiveBisectionState::BisectionID bisection_id_,
const BisectionGraph &bisection_graph_,
const RecursiveBisectionState &recursive_bisection_state_)
: bisection_id(bisection_id_), bisection_graph(bisection_graph_),
recursive_bisection_state(recursive_bisection_state_)
GraphView::GraphView(const BisectionGraph &bisection_graph_)
: bisection_graph(bisection_graph_), begin(bisection_graph.CBegin()),
end(bisection_graph.CEnd())
{
}
bool HasSamePartitionID::operator()(const EdgeID eid) const
{
return recursive_bisection_state.GetBisectionID(bisection_graph.GetTarget(eid)) == bisection_id;
}
GraphView::GraphView(const BisectionGraph &bisection_graph_,
const RecursiveBisectionState &bisection_state_,
const RecursiveBisectionState::IDIterator begin_,
const RecursiveBisectionState::IDIterator end_)
: bisection_graph(bisection_graph_), bisection_state(bisection_state_), begin(begin_), end(end_)
const BisectionGraph::ConstNodeIterator begin_,
const BisectionGraph::ConstNodeIterator end_)
: bisection_graph(bisection_graph_), begin(begin_), end(end_)
{
std::cout << "Graph\n";
for (auto itr = begin; itr != end; ++itr)
{
std::cout << "Node: " << *itr << std::endl;
for (auto eitr = EdgeBegin(*itr); eitr != EdgeEnd(*itr); ++eitr)
{
std::cout << "\t" << *eitr << " -> " << GetTarget(*eitr) << std::endl;
}
}
}
RecursiveBisectionState::IDIterator GraphView::Begin() const { return begin; }
NodeID GraphView::GetID(const BisectionGraph::NodeT &node) const
{
return static_cast<NodeID>(&node - &(*begin));
}
RecursiveBisectionState::IDIterator GraphView::End() const { return end; }
BisectionGraph::ConstNodeIterator GraphView::Begin() const { return begin; }
BisectionGraph::ConstNodeIterator GraphView::End() const { return end; }
std::size_t GraphView::NumberOfNodes() const { return std::distance(begin, end); }
GraphView::EdgeIterator GraphView::EdgeBegin(const NodeID nid) const
{
HasSamePartitionID predicate{
bisection_state.GetBisectionID(nid), bisection_graph, bisection_state};
EdgeIDIterator first{bisection_graph.BeginEdges(nid)};
EdgeIDIterator last{bisection_graph.EndEdges(nid)};
return boost::make_filter_iterator(predicate, first, last);
}
GraphView::EdgeIterator GraphView::EdgeEnd(const NodeID nid) const
{
HasSamePartitionID predicate{
bisection_state.GetBisectionID(nid), bisection_graph, bisection_state};
EdgeIDIterator last{bisection_graph.EndEdges(nid)};
return boost::make_filter_iterator(predicate, last, last);
}
NodeID GraphView::GetTarget(const EdgeID eid) const
{
return bisection_graph.GetTarget(eid);
}
const BisectionNode &GraphView::GetNode(const NodeID nid) const
{
return bisection_graph.GetNode(nid);
return bisection_graph.Node(nid);
}
const BisectionEdge &GraphView::GetEdge(const EdgeID eid) const
{
return bisection_graph.GetEdge(eid);
return bisection_graph.Edge(eid);
}
} // namespace partition
+34 -19
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@@ -1,6 +1,5 @@
#include "partition/inertial_flow.hpp"
#include "partition/bisection_graph.hpp"
#include "partition/dinic_max_flow.hpp"
#include "partition/reorder_first_last.hpp"
#include <algorithm>
@@ -9,6 +8,7 @@
#include <iterator>
#include <mutex>
#include <set>
#include <tuple>
#include <utility>
#include <tbb/blocked_range.h>
@@ -21,17 +21,13 @@ namespace partition
InertialFlow::InertialFlow(const GraphView &view_) : view(view_) {}
std::vector<bool> InertialFlow::ComputePartition(const double balance,
const double source_sink_rate)
DinicMaxFlow::MinCut InertialFlow::ComputePartition(const std::size_t num_slopes,
const double balance,
const double source_sink_rate)
{
auto cut = bestMinCut(10 /* should be taken from outside */, source_sink_rate);
auto cut = BestMinCut(num_slopes, source_sink_rate);
std::cout << "Partition: ";
for (auto b : cut.flags)
std::cout << b;
std::cout << std::endl;
return cut.flags;
return cut;
}
InertialFlow::SpatialOrder InertialFlow::MakeSpatialOrder(const double ratio,
@@ -53,8 +49,12 @@ InertialFlow::SpatialOrder InertialFlow::MakeSpatialOrder(const double ratio,
Embedding embedding;
embedding.reserve(view.NumberOfNodes());
std::transform(view.Begin(), view.End(), std::back_inserter(embedding), [&](const auto nid) {
return NodeWithCoordinate{nid, view.GetNode(nid).coordinate};
// adress of the very first node
const auto node_zero = &(*view.Begin());
std::transform(view.Begin(), view.End(), std::back_inserter(embedding), [&](const auto &node) {
const auto node_id = static_cast<NodeID>(&node - node_zero);
return NodeWithCoordinate{node_id, node.coordinate};
});
const auto project = [slope](const auto &each) {
@@ -86,14 +86,22 @@ InertialFlow::SpatialOrder InertialFlow::MakeSpatialOrder(const double ratio,
return order;
}
MinCut InertialFlow::bestMinCut(const std::size_t n, const double ratio) const
DinicMaxFlow::MinCut InertialFlow::BestMinCut(const std::size_t n, const double ratio) const
{
auto base = MakeSpatialOrder(ratio, -1.);
auto best = DinicMaxFlow()(view, base.sources, base.sinks);
DinicMaxFlow::MinCut best;
best.num_edges = -1;
const auto get_balance = [this](const auto num_nodes_source) {
double ratio = static_cast<double>(view.NumberOfNodes() - num_nodes_source) /
static_cast<double>(num_nodes_source);
return std::abs(ratio - 1.0);
};
auto best_balance = 10000; // get_balance(best.num_nodes_source);
std::mutex lock;
tbb::blocked_range<std::size_t> range{1, n + 1};
tbb::blocked_range<std::size_t> range{0, n, 1};
tbb::parallel_for(range, [&, this](const auto &chunk) {
for (auto round = chunk.begin(), end = chunk.end(); round != end; ++round)
@@ -101,17 +109,24 @@ MinCut InertialFlow::bestMinCut(const std::size_t n, const double ratio) const
const auto slope = -1. + round * (2. / n);
auto order = this->MakeSpatialOrder(ratio, slope);
auto cut = Dinic(view, order.sources, order.sinks);
auto cut = DinicMaxFlow()(view, order.sources, order.sinks);
auto cut_balance = get_balance(cut.num_nodes_source);
{
std::lock_guard<std::mutex> guard{lock};
// Swap to keep the destruction of the old object outside of critical section.
if (cut.num_edges < best.num_edges)
if (std::tie(cut.num_edges, cut_balance) < std::tie(best.num_edges, best_balance))
{
std::cout << "New Cut: " << cut.num_edges << " " << cut_balance << std::endl;
best_balance = cut_balance;
std::swap(best, cut);
}
else
{
std::cout << "Bad Cut: " << cut.num_edges << " " << cut_balance << std::endl;
}
}
// cut gets destroyed here
}
});
+15 -55
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@@ -1,14 +1,16 @@
#include "partition/partitioner.hpp"
#include "partition/bisection_graph.hpp"
#include "partition/recursive_bisection.hpp"
// TODO remove after testing
#include "util/coordinate.hpp"
#include "util/log.hpp"
#include <iterator>
#include <vector>
#include <boost/assert.hpp>
#include <tbb/task_scheduler_init.h>
namespace osrm
{
namespace partition
@@ -16,61 +18,19 @@ namespace partition
int Partitioner::Run(const PartitionConfig &config)
{
struct TestEdge
{
NodeID source;
NodeID target;
};
const unsigned recommended_num_threads = tbb::task_scheduler_init::default_num_threads();
const auto number_of_threads = std::min(recommended_num_threads, config.requested_num_threads);
tbb::task_scheduler_init init(number_of_threads);
std::vector<TestEdge> input_edges;
auto compressed_node_based_graph =
LoadCompressedNodeBasedGraph(config.compressed_node_based_graph_path.string());
// 0 - 1 - 2 - 3
// | \ | |
// 4 - 5 - 6 - 7
groupEdgesBySource(begin(compressed_node_based_graph.edges),
end(compressed_node_based_graph.edges));
input_edges.push_back({0, 1});
input_edges.push_back({0, 4});
input_edges.push_back({0, 5});
input_edges.push_back({1, 0});
input_edges.push_back({1, 2});
input_edges.push_back({2, 1});
input_edges.push_back({2, 3});
input_edges.push_back({2, 6});
input_edges.push_back({3, 2});
input_edges.push_back({3, 7});
input_edges.push_back({4, 0});
input_edges.push_back({4, 5});
input_edges.push_back({5, 0});
input_edges.push_back({5, 4});
input_edges.push_back({5, 6});
input_edges.push_back({6, 2});
input_edges.push_back({6, 5});
input_edges.push_back({6, 7});
input_edges.push_back({7, 3});
input_edges.push_back({7, 6});
sortBySourceThenTarget(begin(input_edges), end(input_edges));
std::vector<util::Coordinate> coordinates;
for (std::size_t i = 0; i < 8; ++i)
{
coordinates.push_back(
{util::FloatLongitude{(i % 4) / 4.0}, util::FloatLatitude{(double)(i / 4)}});
}
// do the partitioning
std::vector<BisectionNode> nodes = computeNodes(coordinates, input_edges);
std::vector<BisectionEdge> edges = adaptToBisectionEdge(input_edges);
BisectionGraph graph(nodes, edges);
auto graph =
makeBisectionGraph(compressed_node_based_graph.coordinates,
adaptToBisectionEdge(std::move(compressed_node_based_graph.edges)));
RecursiveBisection recursive_bisection(1024, 1.1, 0.25, graph);
+134 -10
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@@ -4,6 +4,16 @@
#include "partition/graph_view.hpp"
#include "partition/recursive_bisection_state.hpp"
#include "util/timing_util.hpp"
#include "util/geojson_debug_logger.hpp"
#include "util/geojson_debug_policies.hpp"
#include "extractor/tarjan_scc.hpp"
#include "partition/tarjan_graph_wrapper.hpp"
#include <unordered_map>
namespace osrm
{
namespace partition
@@ -12,26 +22,140 @@ namespace partition
RecursiveBisection::RecursiveBisection(std::size_t maximum_cell_size,
double balance,
double boundary_factor,
const BisectionGraph &bisection_graph_)
BisectionGraph &bisection_graph_)
: bisection_graph(bisection_graph_), internal_state(bisection_graph_)
{
GraphView view(bisection_graph, internal_state, internal_state.Begin(), internal_state.End());
auto views = FakeFirstPartitionWithSCC(1000);
std::cout << "Components: " << views.size() << std::endl;
;
TIMER_START(bisection);
GraphView view = views.front();
InertialFlow flow(view);
const auto partition = flow.ComputePartition(balance, boundary_factor);
const auto center = internal_state.ApplyBisection(view.Begin(), view.End(), partition);
const auto partition = flow.ComputePartition(10, balance, boundary_factor);
const auto center = internal_state.ApplyBisection(view.Begin(), view.End(), 0, partition.flags);
{
auto state = internal_state;
}
TIMER_STOP(bisection);
std::cout << "Bisection completed in " << TIMER_SEC(bisection)
<< " Cut Size: " << partition.num_edges << " Balance: " << partition.num_nodes_source
<< std::endl;
GraphView recursive_view_lhs(bisection_graph, internal_state, view.Begin(), center);
util::ScopedGeojsonLoggerGuard<util::CoordinateVectorToLineString, util::LoggingScenario(0)>
logger_zero("level_0.geojson");
for (NodeID nid = 0; nid < bisection_graph.NumberOfNodes(); ++nid)
{
for (const auto &edge : bisection_graph.Edges(nid))
{
const auto target = edge.target;
if (internal_state.GetBisectionID(nid) != internal_state.GetBisectionID(target))
{
std::vector<util::Coordinate> coordinates;
coordinates.push_back(bisection_graph.Node(nid).coordinate);
coordinates.push_back(bisection_graph.Node(target).coordinate);
logger_zero.Write(coordinates);
}
}
}
TIMER_START(bisection_2_1);
GraphView recursive_view_lhs(bisection_graph, view.Begin(), center);
InertialFlow flow_lhs(recursive_view_lhs);
const auto partition_lhs = flow_lhs.ComputePartition(balance,boundary_factor);
internal_state.ApplyBisection(recursive_view_lhs.Begin(),recursive_view_lhs.End(),partition_lhs);
const auto partition_lhs = flow_lhs.ComputePartition(10, balance, boundary_factor);
internal_state.ApplyBisection(
recursive_view_lhs.Begin(), recursive_view_lhs.End(), 1, partition_lhs.flags);
TIMER_STOP(bisection_2_1);
std::cout << "Bisection(2) completed in " << TIMER_SEC(bisection_2_1)
<< " Cut Size: " << partition_lhs.num_edges
<< " Balance: " << partition_lhs.num_nodes_source << std::endl;
GraphView recursive_view_rhs(bisection_graph, internal_state, center, view.End());
TIMER_START(bisection_2_2);
GraphView recursive_view_rhs(bisection_graph, center, view.End());
InertialFlow flow_rhs(recursive_view_rhs);
const auto partition_rhs = flow_rhs.ComputePartition(balance,boundary_factor);
internal_state.ApplyBisection(recursive_view_rhs.Begin(),recursive_view_rhs.End(),partition_rhs);
const auto partition_rhs = flow_rhs.ComputePartition(10, balance, boundary_factor);
internal_state.ApplyBisection(
recursive_view_rhs.Begin(), recursive_view_rhs.End(), 1, partition_rhs.flags);
TIMER_STOP(bisection_2_2);
std::cout << "Bisection(3) completed in " << TIMER_SEC(bisection_2_2)
<< " Cut Size: " << partition_rhs.num_edges
<< " Balance: " << partition_rhs.num_nodes_source << std::endl;
util::ScopedGeojsonLoggerGuard<util::CoordinateVectorToLineString, util::LoggingScenario(1)>
logger_one("level_1.geojson");
for (NodeID nid = 0; nid < bisection_graph.NumberOfNodes(); ++nid)
{
for (const auto &edge : bisection_graph.Edges(nid))
{
const auto target = edge.target;
if (internal_state.GetBisectionID(nid) != internal_state.GetBisectionID(target))
{
std::vector<util::Coordinate> coordinates;
coordinates.push_back(bisection_graph.Node(nid).coordinate);
coordinates.push_back(bisection_graph.Node(target).coordinate);
logger_one.Write(coordinates);
}
}
}
}
std::vector<GraphView>
RecursiveBisection::FakeFirstPartitionWithSCC(const std::size_t small_component_size)
{
// since our graphs are unidirectional, we don't realy need the scc. But tarjan is so nice and
// assigns IDs and counts sizes
TarjanGraphWrapper wrapped_graph(bisection_graph);
extractor::TarjanSCC<TarjanGraphWrapper> scc_algo(wrapped_graph);
scc_algo.Run();
// Map Edges to Sccs
const auto in_small = [&scc_algo, small_component_size](const NodeID node_id) {
return scc_algo.GetComponentSize(scc_algo.GetComponentID(node_id)) <= small_component_size;
};
const constexpr std::size_t small_component_id = -1;
std::unordered_map<std::size_t, std::size_t> component_map;
const auto transform_id = [&](const NodeID node_id) -> std::size_t {
if (in_small(node_id))
return small_component_id;
else
return scc_algo.GetComponentID(node_id);
};
std::vector<NodeID> mapping(bisection_graph.NumberOfNodes(), SPECIAL_NODEID);
for (const auto &node : bisection_graph.Nodes())
mapping[node.original_id] = component_map[transform_id(node.original_id)]++;
// needs to remove edges, if we should ever switch to directed graphs here
std::stable_sort(
bisection_graph.Begin(), bisection_graph.End(), [&](const auto &lhs, const auto &rhs) {
return transform_id(lhs.original_id) < transform_id(rhs.original_id);
});
// remap all remaining edges
std::for_each(bisection_graph.Begin(), bisection_graph.End(), [&](const auto &node) {
for (auto &edge : bisection_graph.Edges(node))
edge.target = mapping[edge.target];
});
std::vector<GraphView> views;
auto last = bisection_graph.CBegin();
auto last_id = transform_id(bisection_graph.Begin()->original_id);
for (auto itr = bisection_graph.CBegin(); itr != bisection_graph.CEnd(); ++itr)
{
auto itr_id = transform_id(itr->original_id);
if (last_id != itr_id)
{
views.push_back(GraphView(bisection_graph, last, itr));
last_id = itr_id;
last = itr;
}
}
views.push_back(GraphView(bisection_graph, last, bisection_graph.CEnd()));
return views;
}
} // namespace partition
+52 -42
View File
@@ -1,5 +1,6 @@
#include "partition/recursive_bisection_state.hpp"
#include <algorithm>
#include <numeric>
// TODO remove
@@ -11,63 +12,72 @@ namespace osrm
namespace partition
{
RecursiveBisectionState::RecursiveBisectionState(const BisectionGraph &bisection_graph_)
RecursiveBisectionState::RecursiveBisectionState(BisectionGraph &bisection_graph_)
: bisection_graph(bisection_graph_)
{
id_array.resize(bisection_graph.GetNumberOfNodes());
std::iota(id_array.begin(), id_array.end(), NodeID{0});
bisection_ids.resize(bisection_graph.GetNumberOfNodes(), BisectionID{0});
bisection_ids.resize(bisection_graph.NumberOfNodes(), BisectionID{0});
}
RecursiveBisectionState::~RecursiveBisectionState()
RecursiveBisectionState::~RecursiveBisectionState() {}
RecursiveBisectionState::BisectionID
RecursiveBisectionState::GetBisectionID(const NodeID node) const
{
std::cout << "Internal Result\n";
std::cout << "IDArray:";
for (auto id : id_array)
std::cout << " " << id;
std::cout << std::endl;
std::cout << "BisectionIDs:";
for (auto id : bisection_ids)
std::cout << " " << (std::bitset<4>(id));
std::cout << std::endl;
return bisection_ids[node];
}
const RecursiveBisectionState::IDIterator RecursiveBisectionState::Begin() const
{
return id_array.cbegin();
}
const RecursiveBisectionState::IDIterator RecursiveBisectionState::End() const
{
return id_array.cend();
}
RecursiveBisectionState::BisectionID RecursiveBisectionState::GetBisectionID(const NodeID nid) const
{
return bisection_ids[nid];
}
RecursiveBisectionState::IDIterator RecursiveBisectionState::ApplyBisection(
const IDIterator begin, const IDIterator end, const std::vector<bool> &partition)
RecursiveBisectionState::NodeIterator
RecursiveBisectionState::ApplyBisection(const NodeIterator const_begin,
const NodeIterator const_end,
const std::size_t depth,
const std::vector<bool> &partition)
{
// augment the partition ids
for (auto itr = begin; itr != end; ++itr)
const auto flag = BisectionID{1} << depth;
for (auto itr = const_begin; itr != const_end; ++itr)
{
bisection_ids[*itr] <<= 1;
bisection_ids[*itr] |= partition[std::distance(begin, itr)];
const auto nid = std::distance(const_begin, itr);
if (partition[nid])
bisection_ids[itr->original_id] |= flag;
}
auto first = id_array.begin() + std::distance(id_array.cbegin(), begin);
auto last = id_array.begin() + std::distance(id_array.cbegin(), end);
// Keep items with `0` as partition id to the left, move other to the right
auto by_last_bit = [this](const auto nid) {
return BisectionID{0} == (bisection_ids[nid] & 1);
auto by_flag_bit = [this, flag](const auto &node) {
return BisectionID{0} == (bisection_ids[node.original_id] & flag);
};
return std::stable_partition(first, last, by_last_bit);
auto begin = bisection_graph.Begin() + std::distance(bisection_graph.CBegin(), const_begin);
const auto end = begin + std::distance(const_begin, const_end);
// remap the edges
std::vector<NodeID> mapping(std::distance(const_begin, const_end), SPECIAL_NODEID);
// calculate a mapping of all node ids
std::size_t lesser_id = 0, upper_id = 0;
std::transform(const_begin,
const_end,
mapping.begin(),
[by_flag_bit, &lesser_id, &upper_id](const auto &node) {
return by_flag_bit(node) ? lesser_id++ : upper_id++;
});
// erase all edges that point into different partitions
std::for_each(begin, end, [&](auto &node) {
const auto node_flag = by_flag_bit(node);
bisection_graph.RemoveEdges(node, [&](const BisectionGraph::EdgeT &edge) {
const auto target_flag = by_flag_bit(*(const_begin + edge.target));
return (node_flag != target_flag);
});
});
auto center = std::stable_partition(begin, end, by_flag_bit);
// remap all remaining edges
std::for_each(const_begin, const_end, [&](const auto &node) {
for (auto &edge : bisection_graph.Edges(node))
edge.target = mapping[edge.target];
});
return const_begin + std::distance(begin, center);
}
} // namespace partition
+27
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@@ -0,0 +1,27 @@
#include "partition/tarjan_graph_wrapper.hpp"
namespace osrm
{
namespace partition
{
TarjanGraphWrapper::TarjanGraphWrapper(const BisectionGraph &bisection_graph_)
: bisection_graph(bisection_graph_)
{
}
std::size_t TarjanGraphWrapper::GetNumberOfNodes() const { return bisection_graph.NumberOfNodes(); }
util::range<EdgeID> TarjanGraphWrapper::GetAdjacentEdgeRange(const NodeID nid) const
{
const auto &node = bisection_graph.Node(nid);
return util::irange<EdgeID>(node.edges_begin, node.edges_end);
}
NodeID TarjanGraphWrapper::GetTarget(const EdgeID eid) const
{
return bisection_graph.Edge(eid).target;
}
} // namespace partition
} // namespace osrm
+1 -1
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@@ -166,7 +166,7 @@ int main(int argc, char *argv[])
util::Log() << "Starting SCC graph traversal";
extractor::TarjanSCC<tools::TarjanGraph> tarjan{graph};
extractor::TarjanSCC<tools::TarjanGraph> tarjan{*graph};
tarjan.Run();
util::Log() << "Identified: " << tarjan.GetNumberOfComponents() << " components";
+1 -1
View File
@@ -1,5 +1,5 @@
#include "partition/partitioner.hpp"
#include "partition/partition_config.hpp"
#include "partition/partitioner.hpp"
#include "util/log.hpp"
#include "util/version.hpp"