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A bit of cleanup

release/4.3a0
dellaert 2016-04-16 13:12:36 -07:00
parent 2c7d2dfff4
commit 83d87d0961
2 changed files with 20 additions and 18 deletions
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27
gtsam/inference/Ordering.cpp
View File

@ -53,10 +53,10 @@ Ordering Ordering::ColamdConstrained(const VariableIndex& variableIndex,
gttic(Ordering_COLAMDConstrained);
gttic(Prepare);
size_t nEntries = variableIndex.nEntries(), nFactors =
const size_t nEntries = variableIndex.nEntries(), nFactors =
variableIndex.nFactors(), nVars = variableIndex.size();
// Convert to compressed column major format colamd wants it in (== MATLAB format!)
size_t Alen = ccolamd_recommended((int) nEntries, (int) nFactors,
const size_t Alen = ccolamd_recommended((int) nEntries, (int) nFactors,
(int) nVars); /* colamd arg 3: size of the array A */
vector<int> A = vector<int>(Alen); /* colamd arg 4: row indices of A, of size Alen */
vector<int> p = vector<int>(nVars + 1); /* colamd arg 5: column pointers of A, of size n_col+1 */
@ -66,13 +66,10 @@ Ordering Ordering::ColamdConstrained(const VariableIndex& variableIndex,
int count = 0;
vector<Key> keys(nVars); // Array to store the keys in the order we add them so we can retrieve them in permuted order
size_t index = 0;
BOOST_FOREACH(const VariableIndex::value_type key_factors, variableIndex) {
for (auto key_factors: variableIndex) {
// Arrange factor indices into COLAMD format
const VariableIndex::Factors& column = key_factors.second;
size_t lastFactorId = numeric_limits<size_t>::max();
BOOST_FOREACH(size_t factorIndex, column) {
if (lastFactorId != numeric_limits<size_t>::max())
assert(factorIndex > lastFactorId);
for(size_t factorIndex: column) {
A[count++] = (int) factorIndex; // copy sparse column
}
p[index + 1] = count; // column j (base 1) goes from A[j-1] to A[j]-1
@ -106,8 +103,8 @@ Ordering Ordering::ColamdConstrained(const VariableIndex& variableIndex,
// ccolamd_report(stats);
gttic(Fill_Ordering);
// Convert elimination ordering in p to an ordering
gttic(Fill_Ordering);
Ordering result;
result.resize(nVars);
for (size_t j = 0; j < nVars; ++j)
@ -128,13 +125,13 @@ Ordering Ordering::ColamdConstrainedLast(const VariableIndex& variableIndex,
// Build a mapping to look up sorted Key indices by Key
FastMap<Key, size_t> keyIndices;
size_t j = 0;
BOOST_FOREACH(const VariableIndex::value_type key_factors, variableIndex)
for (auto key_factors: variableIndex)
keyIndices.insert(keyIndices.end(), make_pair(key_factors.first, j++));
// If at least some variables are not constrained to be last, constrain the
// ones that should be constrained.
int group = (constrainLast.size() != n ? 1 : 0);
BOOST_FOREACH(Key key, constrainLast) {
for (Key key: constrainLast) {
cmember[keyIndices.at(key)] = group;
if (forceOrder)
++group;
@ -155,13 +152,13 @@ Ordering Ordering::ColamdConstrainedFirst(const VariableIndex& variableIndex,
// Build a mapping to look up sorted Key indices by Key
FastMap<Key, size_t> keyIndices;
size_t j = 0;
BOOST_FOREACH(const VariableIndex::value_type key_factors, variableIndex)
for (auto key_factors: variableIndex)
keyIndices.insert(keyIndices.end(), make_pair(key_factors.first, j++));
// If at least some variables are not constrained to be last, constrain the
// ones that should be constrained.
int group = 0;
BOOST_FOREACH(Key key, constrainFirst) {
for (Key key: constrainFirst) {
cmember[keyIndices.at(key)] = group;
if (forceOrder)
++group;
@ -169,7 +166,7 @@ Ordering Ordering::ColamdConstrainedFirst(const VariableIndex& variableIndex,
if (!forceOrder && !constrainFirst.empty())
++group;
BOOST_FOREACH(int& c, cmember)
for(int& c: cmember)
if (c == none)
c = group;
@ -186,12 +183,12 @@ Ordering Ordering::ColamdConstrained(const VariableIndex& variableIndex,
// Build a mapping to look up sorted Key indices by Key
FastMap<Key, size_t> keyIndices;
size_t j = 0;
BOOST_FOREACH(const VariableIndex::value_type key_factors, variableIndex)
for (auto key_factors: variableIndex)
keyIndices.insert(keyIndices.end(), make_pair(key_factors.first, j++));
// Assign groups
typedef FastMap<Key, int>::value_type key_group;
BOOST_FOREACH(const key_group& p, groups) {
for(const key_group& p: groups) {
// FIXME: check that no groups are skipped
cmember[keyIndices.at(p.first)] = p.second;
}

11
gtsam/inference/tests/testOrdering.cpp
View File

@ -172,6 +172,7 @@ TEST(Ordering, csr_format_3) {
}
/* ************************************************************************* */
#ifdef GTSAM_SUPPORT_NESTED_DISSECTION
TEST(Ordering, csr_format_4) {
SymbolicFactorGraph sfg;
@ -206,8 +207,9 @@ TEST(Ordering, csr_format_4) {
Ordering metOrder2 = Ordering::Metis(sfg);
}
#endif
/* ************************************************************************* */
#ifdef GTSAM_SUPPORT_NESTED_DISSECTION
TEST(Ordering, metis) {
SymbolicFactorGraph sfg;
@ -228,8 +230,9 @@ TEST(Ordering, metis) {
Ordering metis = Ordering::Metis(sfg);
}
#endif
/* ************************************************************************* */
#ifdef GTSAM_SUPPORT_NESTED_DISSECTION
TEST(Ordering, MetisLoop) {
// create linear graph
@ -261,7 +264,7 @@ TEST(Ordering, MetisLoop) {
}
#endif
}
#endif
/* ************************************************************************* */
TEST(Ordering, Create) {
@ -280,6 +283,7 @@ TEST(Ordering, Create) {
EXPECT(assert_equal(expected, actual));
}
#ifdef GTSAM_SUPPORT_NESTED_DISSECTION
// METIS
{
Ordering actual = Ordering::Create(Ordering::METIS, sfg);
@ -289,6 +293,7 @@ TEST(Ordering, Create) {
Ordering expected = Ordering(list_of(5)(3)(4)(1)(0)(2));
EXPECT(assert_equal(expected, actual));
}
#endif
// CUSTOM
CHECK_EXCEPTION(Ordering::Create(Ordering::CUSTOM, sfg), runtime_error);