158 lines
6.5 KiB
C++
158 lines
6.5 KiB
C++
/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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/**
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* @file JunctionTree-inst.h
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* @date Feb 4, 2010
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* @author Kai Ni
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* @author Frank Dellaert
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* @author Richard Roberts
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* @brief The junction tree, template bodies
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*/
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#pragma once
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#include <gtsam/inference/JunctionTree.h>
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#include <gtsam/inference/ClusterTree-inst.h>
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#include <gtsam/symbolic/SymbolicConditional.h>
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#include <gtsam/symbolic/SymbolicFactor-inst.h>
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namespace gtsam {
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template<class BAYESTREE, class GRAPH, class ETREE_NODE>
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struct ConstructorTraversalData {
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typedef typename JunctionTree<BAYESTREE, GRAPH>::Node Node;
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typedef typename JunctionTree<BAYESTREE, GRAPH>::sharedNode sharedNode;
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ConstructorTraversalData* const parentData;
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sharedNode myJTNode;
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FastVector<SymbolicConditional::shared_ptr> childSymbolicConditionals;
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FastVector<SymbolicFactor::shared_ptr> childSymbolicFactors;
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// Small inner class to store symbolic factors
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class SymbolicFactors: public FactorGraph<Factor> {
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};
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ConstructorTraversalData(ConstructorTraversalData* _parentData) :
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parentData(_parentData) {
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}
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// Pre-order visitor function
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static ConstructorTraversalData ConstructorTraversalVisitorPre(
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const boost::shared_ptr<ETREE_NODE>& node,
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ConstructorTraversalData& parentData) {
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// On the pre-order pass, before children have been visited, we just set up
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// a traversal data structure with its own JT node, and create a child
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// pointer in its parent.
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ConstructorTraversalData myData = ConstructorTraversalData(&parentData);
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myData.myJTNode = boost::make_shared<Node>(node->key, node->factors);
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parentData.myJTNode->children.push_back(myData.myJTNode);
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return myData;
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}
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// Post-order visitor function
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static void ConstructorTraversalVisitorPostAlg2(
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const boost::shared_ptr<ETREE_NODE>& ETreeNode,
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const ConstructorTraversalData& myData) {
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// In this post-order visitor, we combine the symbolic elimination results
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// from the elimination tree children and symbolically eliminate the current
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// elimination tree node. We then check whether each of our elimination
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// tree child nodes should be merged with us. The check for this is that
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// our number of symbolic elimination parents is exactly 1 less than
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// our child's symbolic elimination parents - this condition indicates that
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// eliminating the current node did not introduce any parents beyond those
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// already in the child->
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// Do symbolic elimination for this node
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SymbolicFactors symbolicFactors;
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symbolicFactors.reserve(
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ETreeNode->factors.size() + myData.childSymbolicFactors.size());
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// Add ETree node factors
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symbolicFactors += ETreeNode->factors;
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// Add symbolic factors passed up from children
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symbolicFactors += myData.childSymbolicFactors;
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Ordering keyAsOrdering;
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keyAsOrdering.push_back(ETreeNode->key);
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SymbolicConditional::shared_ptr myConditional;
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SymbolicFactor::shared_ptr mySeparatorFactor;
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boost::tie(myConditional, mySeparatorFactor) = internal::EliminateSymbolic(
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symbolicFactors, keyAsOrdering);
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// Store symbolic elimination results in the parent
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myData.parentData->childSymbolicConditionals.push_back(myConditional);
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myData.parentData->childSymbolicFactors.push_back(mySeparatorFactor);
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sharedNode node = myData.myJTNode;
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const FastVector<SymbolicConditional::shared_ptr>& childConditionals =
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myData.childSymbolicConditionals;
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node->problemSize_ = (int) (myConditional->size() * symbolicFactors.size());
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// Merge our children if they are in our clique - if our conditional has
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// exactly one fewer parent than our child's conditional.
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const size_t myNrParents = myConditional->nrParents();
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const size_t nrChildren = node->children.size();
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assert(childConditionals.size() == nrChildren);
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// decide which children to merge, as index into children
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std::vector<bool> merge(nrChildren, false);
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size_t myNrFrontals = 1, i = 0;
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for(const sharedNode& child: node->children) {
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// Check if we should merge the i^th child
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if (myNrParents + myNrFrontals == childConditionals[i]->nrParents()) {
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// Increment number of frontal variables
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myNrFrontals += child->orderedFrontalKeys.size();
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merge[i] = true;
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}
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++i;
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}
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// now really merge
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node->mergeChildren(merge);
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}
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};
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/* ************************************************************************* */
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template<class BAYESTREE, class GRAPH>
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template<class ETREE_BAYESNET, class ETREE_GRAPH>
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JunctionTree<BAYESTREE, GRAPH>::JunctionTree(
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const EliminationTree<ETREE_BAYESNET, ETREE_GRAPH>& eliminationTree) {
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gttic(JunctionTree_FromEliminationTree);
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// Here we rely on the BayesNet having been produced by this elimination tree,
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// such that the conditionals are arranged in DFS post-order. We traverse the
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// elimination tree, and inspect the symbolic conditional corresponding to
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// each node. The elimination tree node is added to the same clique with its
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// parent if it has exactly one more Bayes net conditional parent than
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// does its elimination tree parent.
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// Traverse the elimination tree, doing symbolic elimination and merging nodes
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// as we go. Gather the created junction tree roots in a dummy Node.
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typedef typename EliminationTree<ETREE_BAYESNET, ETREE_GRAPH>::Node ETreeNode;
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typedef ConstructorTraversalData<BAYESTREE, GRAPH, ETreeNode> Data;
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Data rootData(0);
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rootData.myJTNode = boost::make_shared<typename Base::Node>(); // Make a dummy node to gather
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// the junction tree roots
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treeTraversal::DepthFirstForest(eliminationTree, rootData,
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Data::ConstructorTraversalVisitorPre,
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Data::ConstructorTraversalVisitorPostAlg2);
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// Assign roots from the dummy node
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typedef typename JunctionTree<BAYESTREE, GRAPH>::Node Node;
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const typename Node::Children& children = rootData.myJTNode->children;
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Base::roots_.reserve(children.size());
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Base::roots_.insert(Base::roots_.begin(), children.begin(), children.end());
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// Transfer remaining factors from elimination tree
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Base::remainingFactors_ = eliminationTree.remainingFactors();
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}
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} // namespace gtsam
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