Separated merge decision from actual merging
parent
2dd83fd92c
commit
67013cba05
|
|
@ -73,7 +73,8 @@ struct ConstructorTraversalData {
|
|||
|
||||
// Do symbolic elimination for this node
|
||||
SymbolicFactors symbolicFactors;
|
||||
symbolicFactors.reserve(ETreeNode->factors.size() + myData.childSymbolicFactors.size());
|
||||
symbolicFactors.reserve(
|
||||
ETreeNode->factors.size() + myData.childSymbolicFactors.size());
|
||||
// Add ETree node factors
|
||||
symbolicFactors += ETreeNode->factors;
|
||||
// Add symbolic factors passed up from children
|
||||
|
|
@ -96,29 +97,42 @@ struct ConstructorTraversalData {
|
|||
|
||||
// Merge our children if they are in our clique - if our conditional has
|
||||
// exactly one fewer parent than our child's conditional.
|
||||
size_t myNrFrontals = 1;
|
||||
const size_t myNrParents = myConditional->nrParents();
|
||||
assert(node->newChildren.size() == childConditionals.size());
|
||||
const size_t nrChildren = node->children.size();
|
||||
assert(childConditionals.size() == nrChildren);
|
||||
|
||||
gttic(merge_children);
|
||||
// First count how many keys, factors and children we'll end up with
|
||||
|
||||
// decide which children to merge, as index into children
|
||||
std::vector<bool> merge(nrChildren, false);
|
||||
{
|
||||
size_t myNrFrontals = 1;
|
||||
for (size_t i = 0; i < nrChildren; ++i) {
|
||||
// Check if we should merge the i^th child
|
||||
if (myNrParents + myNrFrontals == childConditionals[i]->nrParents()) {
|
||||
sharedNode child = node->children[i];
|
||||
// Increment number of frontal variables
|
||||
myNrFrontals += child->orderedFrontalKeys.size();
|
||||
merge[i] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Count how many keys, factors and children we'll end up with
|
||||
size_t nrKeys = node->orderedFrontalKeys.size();
|
||||
size_t nrFactors = node->factors.size();
|
||||
size_t nrChildren = 0;
|
||||
size_t nrNewChildren = 0;
|
||||
// Loop over children
|
||||
for (size_t i = 0; i < childConditionals.size(); ++i) {
|
||||
// Check if we should merge the i^th child
|
||||
if (myNrParents + myNrFrontals == childConditionals[i]->nrParents()) {
|
||||
for (size_t i = 0; i < nrChildren; ++i) {
|
||||
if (merge[i]) {
|
||||
// Get a reference to the i, adjusting the index to account for children
|
||||
// previously merged and removed from the i list.
|
||||
sharedNode child = node->children[i];
|
||||
nrKeys += child->orderedFrontalKeys.size();
|
||||
nrFactors += child->factors.size();
|
||||
nrChildren += child->children.size();
|
||||
// Increment number of frontal variables
|
||||
myNrFrontals += child->orderedFrontalKeys.size();
|
||||
nrNewChildren += child->children.size();
|
||||
} else {
|
||||
nrChildren += 1; // we keep the child
|
||||
nrNewChildren += 1; // we keep the child
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -126,14 +140,14 @@ struct ConstructorTraversalData {
|
|||
node->orderedFrontalKeys.reserve(nrKeys);
|
||||
node->factors.reserve(nrFactors);
|
||||
typename Node::Children newChildren;
|
||||
newChildren.reserve(nrChildren);
|
||||
myNrFrontals = 1;
|
||||
int combinedProblemSize = (int) (myConditional->size() * symbolicFactors.size());
|
||||
newChildren.reserve(nrNewChildren);
|
||||
int combinedProblemSize = (int) (myConditional->size()
|
||||
* symbolicFactors.size());
|
||||
// Loop over newChildren
|
||||
for (size_t i = 0; i < childConditionals.size(); ++i) {
|
||||
for (size_t i = 0; i < nrChildren; ++i) {
|
||||
// Check if we should merge the i^th child
|
||||
sharedNode child = node->children[i];
|
||||
if (myNrParents + myNrFrontals == childConditionals[i]->nrParents()) {
|
||||
if (merge[i]) {
|
||||
// Get a reference to the i, adjusting the index to account for newChildren
|
||||
// previously merged and removed from the i list.
|
||||
// Merge keys. For efficiency, we add keys in reverse order at end, calling reverse after..
|
||||
|
|
@ -141,18 +155,21 @@ struct ConstructorTraversalData {
|
|||
child->orderedFrontalKeys.rbegin(),
|
||||
child->orderedFrontalKeys.rend());
|
||||
// Merge keys, factors, and children.
|
||||
node->factors.insert(node->factors.end(), child->factors.begin(), child->factors.end());
|
||||
newChildren.insert(newChildren.end(), child->children.begin(), child->children.end());
|
||||
node->factors.insert(node->factors.end(), child->factors.begin(),
|
||||
child->factors.end());
|
||||
newChildren.insert(newChildren.end(), child->children.begin(),
|
||||
child->children.end());
|
||||
// Increment problem size
|
||||
combinedProblemSize = std::max(combinedProblemSize, child->problemSize_);
|
||||
combinedProblemSize = std::max(combinedProblemSize,
|
||||
child->problemSize_);
|
||||
// Increment number of frontal variables
|
||||
myNrFrontals += child->orderedFrontalKeys.size();
|
||||
} else {
|
||||
newChildren.push_back(child); // we keep the child
|
||||
}
|
||||
}
|
||||
node->children = newChildren;
|
||||
std::reverse(node->orderedFrontalKeys.begin(), node->orderedFrontalKeys.end());
|
||||
std::reverse(node->orderedFrontalKeys.begin(),
|
||||
node->orderedFrontalKeys.end());
|
||||
gttoc(merge_children);
|
||||
node->problemSize_ = combinedProblemSize;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue