gtsam  4.0.0
gtsam
BayesTree.h
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1 /* ----------------------------------------------------------------------------
2 
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
5  * All Rights Reserved
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7 
8  * See LICENSE for the license information
9 
10  * -------------------------------------------------------------------------- */
11 
18 // \callgraph
19 
20 #pragma once
21 
22 #include <gtsam/inference/Key.h>
23 #include <gtsam/base/FastList.h>
24 #include <gtsam/base/ConcurrentMap.h>
25 #include <gtsam/base/FastVector.h>
26 
27 #include <string>
28 
29 namespace gtsam {
30 
31  // Forward declarations
32  template<class FACTOR> class FactorGraph;
33  template<class BAYESTREE, class GRAPH> class EliminatableClusterTree;
34 
35  /* ************************************************************************* */
37  struct GTSAM_EXPORT BayesTreeCliqueStats {
38  double avgConditionalSize;
39  std::size_t maxConditionalSize;
40  double avgSeparatorSize;
41  std::size_t maxSeparatorSize;
42  void print(const std::string& s = "") const ;
43  };
44 
46  struct GTSAM_EXPORT BayesTreeCliqueData {
47  FastVector<std::size_t> conditionalSizes;
48  FastVector<std::size_t> separatorSizes;
49  BayesTreeCliqueStats getStats() const;
50  };
51 
52  /* ************************************************************************* */
63  template<class CLIQUE>
64  class BayesTree
65  {
66  protected:
67  typedef BayesTree<CLIQUE> This;
68  typedef boost::shared_ptr<This> shared_ptr;
69 
70  public:
71  typedef CLIQUE Clique;
72  typedef boost::shared_ptr<Clique> sharedClique;
73  typedef Clique Node;
74  typedef sharedClique sharedNode;
75  typedef typename CLIQUE::ConditionalType ConditionalType;
76  typedef boost::shared_ptr<ConditionalType> sharedConditional;
77  typedef typename CLIQUE::BayesNetType BayesNetType;
78  typedef boost::shared_ptr<BayesNetType> sharedBayesNet;
79  typedef typename CLIQUE::FactorType FactorType;
80  typedef boost::shared_ptr<FactorType> sharedFactor;
81  typedef typename CLIQUE::FactorGraphType FactorGraphType;
82  typedef boost::shared_ptr<FactorGraphType> sharedFactorGraph;
83  typedef typename FactorGraphType::Eliminate Eliminate;
84  typedef typename CLIQUE::EliminationTraitsType EliminationTraitsType;
85 
88 
91 
92  protected:
93 
95  Nodes nodes_;
96 
99 
101  Roots roots_;
102 
105 
108 
110  BayesTree(const This& other);
111 
113 
115  This& operator=(const This& other);
116 
119 
121  bool equals(const This& other, double tol = 1e-9) const;
122 
123  public:
125  void print(const std::string& s = "",
126  const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
128 
131 
133  size_t size() const;
134 
136  inline bool empty() const {
137  return nodes_.empty();
138  }
139 
141  const Nodes& nodes() const { return nodes_; }
142 
144  const sharedNode operator[](Key j) const { return nodes_.at(j); }
145 
147  const Roots& roots() const { return roots_; }
148 
150  const sharedClique& clique(Key j) const {
151  typename Nodes::const_iterator c = nodes_.find(j);
152  if(c == nodes_.end())
153  throw std::out_of_range("Requested the BayesTree clique for a key that is not in the BayesTree");
154  else
155  return c->second;
156  }
157 
159  BayesTreeCliqueData getCliqueData() const;
160 
162  size_t numCachedSeparatorMarginals() const;
163 
169  sharedConditional marginalFactor(Key j, const Eliminate& function = EliminationTraitsType::DefaultEliminate) const;
170 
175  sharedFactorGraph joint(Key j1, Key j2, const Eliminate& function = EliminationTraitsType::DefaultEliminate) const;
176 
181  sharedBayesNet jointBayesNet(Key j1, Key j2, const Eliminate& function = EliminationTraitsType::DefaultEliminate) const;
182 
188  void saveGraph(const std::string& s, const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
189 
193 
198  template<class CONTAINER>
199  Key findParentClique(const CONTAINER& parents) const;
200 
202  void clear();
203 
205  void deleteCachedShortcuts();
206 
211  void removePath(sharedClique clique, BayesNetType& bn, Cliques& orphans);
212 
217  void removeTop(const FastVector<Key>& keys, BayesNetType& bn, Cliques& orphans);
218 
221  Cliques removeSubtree(const sharedClique& subtree);
222 
226  void insertRoot(const sharedClique& subtree);
227 
229  void addClique(const sharedClique& clique, const sharedClique& parent_clique = sharedClique());
230 
232  void addFactorsToGraph(FactorGraph<FactorType>& graph) const;
233 
234  protected:
235 
237  void saveGraph(std::ostream &s, sharedClique clique, const KeyFormatter& keyFormatter,
238  int parentnum = 0) const;
239 
241  void getCliqueData(BayesTreeCliqueData& stats, sharedClique clique) const;
242 
244  void removeClique(sharedClique clique);
245 
247  void fillNodesIndex(const sharedClique& subtree);
248 
249  // Friend JunctionTree because it directly fills roots and nodes index.
250  template<class BAYESRTEE, class GRAPH> friend class EliminatableClusterTree;
251 
252  private:
254  friend class boost::serialization::access;
255  template<class ARCHIVE>
256  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
257  ar & BOOST_SERIALIZATION_NVP(nodes_);
258  ar & BOOST_SERIALIZATION_NVP(roots_);
259  }
260 
262 
263  }; // BayesTree
264 
265  /* ************************************************************************* */
266  template<class CLIQUE>
267  class BayesTreeOrphanWrapper : public CLIQUE::ConditionalType
268  {
269  public:
270  typedef CLIQUE CliqueType;
271  typedef typename CLIQUE::ConditionalType Base;
272 
273  boost::shared_ptr<CliqueType> clique;
274 
275  BayesTreeOrphanWrapper(const boost::shared_ptr<CliqueType>& clique) :
276  clique(clique)
277  {
278  // Store parent keys in our base type factor so that eliminating those parent keys will pull
279  // this subtree into the elimination.
280  this->keys_.assign(clique->conditional()->beginParents(), clique->conditional()->endParents());
281  }
282 
283  void print(const std::string& s="", const KeyFormatter& formatter = DefaultKeyFormatter) const {
284  clique->print(s + "stored clique", formatter);
285  }
286  };
287 
288 }
FastList< sharedClique > Cliques
A convenience class for a list of shared cliques.
Definition: BayesTree.h:87
Definition: BayesTree.h:267
A Bayes net made from linear-Gaussian densities.
Definition: GaussianBayesNet.h:30
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition: Matrix.cpp:140
A conditional Gaussian functions as the node in a Bayes network It has a set of parents y...
Definition: GaussianConditional.h:36
ConcurrentMap< Key, sharedClique > Nodes
Map from keys to Clique.
Definition: BayesTree.h:90
Definition: FastList.h:38
clique statistics
Definition: BayesTree.h:37
Clique Node
Synonym for Clique (TODO: remove)
Definition: BayesTree.h:73
An abstract virtual base class for JacobianFactor and HessianFactor.
Definition: GaussianFactor.h:38
A thin wrapper around std::list that uses boost&#39;s fast_pool_allocator.
Nodes nodes_
Map from indices to Clique.
Definition: BayesTree.h:95
boost::shared_ptr< Clique > sharedClique
Shared pointer to a clique.
Definition: BayesTree.h:72
Definition: BayesTree.h:64
FastVector< sharedClique > Roots
Root cliques.
Definition: BayesTree.h:98
Roots roots_
Root cliques.
Definition: BayesTree.h:101
Template to create a binary predicate.
Definition: Testable.h:110
A cluster-tree that eliminates to a Bayes tree.
Definition: BayesTree.h:33
const sharedNode operator[](Key j) const
Access node by variable.
Definition: BayesTree.h:144
store all the sizes
Definition: BayesTree.h:46
BayesTree()
Create an empty Bayes Tree.
Definition: BayesTree.h:107
const Roots & roots() const
return root cliques
Definition: BayesTree.h:147
Definition: GaussianFactorGraph.h:43
bool empty() const
Check if there are any cliques in the tree.
Definition: BayesTree.h:136
const sharedClique & clique(Key j) const
alternate syntax for matlab: find the clique that contains the variable with Key j ...
Definition: BayesTree.h:150
const Nodes & nodes() const
return nodes
Definition: BayesTree.h:141
A factor graph is a bipartite graph with factor nodes connected to variable nodes.
Definition: BayesTree.h:32
boost::function< EliminationResult(const FactorGraphType &, const Ordering &)> Eliminate
The function type that does a single dense elimination step on a subgraph.
Definition: EliminateableFactorGraph.h:89
sharedClique sharedNode
Synonym for sharedClique (TODO: remove)
Definition: BayesTree.h:74
A thin wrapper around std::vector that uses boost&#39;s pool_allocator.
A Linear Factor Graph is a factor graph where all factors are Gaussian, i.e.
Definition: GaussianFactorGraph.h:65
CLIQUE Clique
The clique type, normally BayesTreeClique.
Definition: BayesTree.h:71
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:57
Global functions in a separate testing namespace.
Definition: chartTesting.h:28
boost::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
Definition: Key.h:33