/* * testJunctionTree.cpp * * Created on: Jul 8, 2010 * Author: nikai * Description: */ #include #include #include #include // for operator += #include // for operator += using namespace boost::assign; #define GTSAM_MAGIC_KEY #include "smallExample.h" #include "JunctionTree-inl.h" using namespace std; using namespace gtsam; using namespace example; /* ************************************************************************* */ /** * x1 - x2 - x3 - x4 * x3 x4 * x2 x1 : x3 */ TEST( GaussianFactorGraph, constructor ) { typedef GaussianFactorGraph::sharedFactor Factor; SharedDiagonal model(Vector_(1, 0.2)); Factor factor1(new GaussianFactor("x1", Matrix_(1,1,1.), "x2", Matrix_(1,1,1.), Vector_(1,1.), model)); Factor factor2(new GaussianFactor("x2", Matrix_(1,1,1.), "x3", Matrix_(1,1,1.), Vector_(1,1.), model)); Factor factor3(new GaussianFactor("x3", Matrix_(1,1,1.), "x4", Matrix_(1,1,1.), Vector_(1,1.), model)); GaussianFactorGraph fg; fg.push_back(factor1); fg.push_back(factor2); fg.push_back(factor3); Ordering ordering; ordering += "x2","x1","x3","x4"; GaussianJunctionTree junctionTree(fg, ordering); Ordering frontal1; frontal1 += "x3", "x4"; Ordering frontal2; frontal2 += "x2", "x1"; Unordered sep1; Unordered sep2; sep2 += "x3"; CHECK(assert_equal(frontal1, junctionTree.root()->frontal())); CHECK(assert_equal(sep1, junctionTree.root()->separator())); LONGS_EQUAL(1, junctionTree.root()->size()); CHECK(assert_equal(frontal2, junctionTree.root()->children()[0]->frontal())); CHECK(assert_equal(sep2, junctionTree.root()->children()[0]->separator())); LONGS_EQUAL(2, junctionTree.root()->children()[0]->size()); } /* ************************************************************************* * Bayes tree for smoother with "nested dissection" ordering: C1 x5 x6 x4 C2 x3 x2 : x4 C3 x1 : x2 C4 x7 : x6 /* ************************************************************************* */ TEST( GaussianFactorGraph, constructor2 ) { // create a graph GaussianFactorGraph fg = createSmoother(7); // create an ordering Ordering ordering; ordering += "x1","x3","x5","x7","x2","x6","x4"; GaussianJunctionTree junctionTree(fg, ordering); Ordering frontal1; frontal1 += "x5", "x6", "x4"; Ordering frontal2; frontal2 += "x3", "x2"; Ordering frontal3; frontal3 += "x1"; Ordering frontal4; frontal4 += "x7"; Unordered sep1; Unordered sep2; sep2 += "x4"; Unordered sep3; sep3 += "x2"; Unordered sep4; sep4 += "x6"; CHECK(assert_equal(frontal1, junctionTree.root()->frontal())); CHECK(assert_equal(sep1, junctionTree.root()->separator())); LONGS_EQUAL(5, junctionTree.root()->size()); CHECK(assert_equal(frontal2, junctionTree.root()->children()[0]->frontal())); CHECK(assert_equal(sep2, junctionTree.root()->children()[0]->separator())); LONGS_EQUAL(4, junctionTree.root()->children()[0]->size()); CHECK(assert_equal(frontal3, junctionTree.root()->children()[0]->children()[0]->frontal())); CHECK(assert_equal(sep3, junctionTree.root()->children()[0]->children()[0]->separator())); LONGS_EQUAL(2, junctionTree.root()->children()[0]->children()[0]->size()); CHECK(assert_equal(frontal4, junctionTree.root()->children()[1]->frontal())); CHECK(assert_equal(sep4, junctionTree.root()->children()[1]->separator())); LONGS_EQUAL(2, junctionTree.root()->children()[1]->size()); } /* ************************************************************************* */ /** * x1 - x2 - x3 - x4 * x3 x4 * x2 x1 : x3 * * x2 x1 x3 x4 b * 1 1 1 * 1 1 1 * 1 1 1 * 1 1 * * 1 0 0 1 */ TEST( GaussianFactorGraph, eliminate ) { typedef GaussianFactorGraph::sharedFactor Factor; SharedDiagonal model(Vector_(1, 0.5)); Factor factor1(new GaussianFactor("x1", Matrix_(1,1,1.), "x2", Matrix_(1,1,1.), Vector_(1,1.), model)); Factor factor2(new GaussianFactor("x2", Matrix_(1,1,1.), "x3", Matrix_(1,1,1.), Vector_(1,1.), model)); Factor factor3(new GaussianFactor("x3", Matrix_(1,1,1.), "x4", Matrix_(1,1,1.), Vector_(1,1.), model)); Factor factor4(new GaussianFactor("x4", Matrix_(1,1,1.), Vector_(1,1.), model)); GaussianFactorGraph fg; fg.push_back(factor1); fg.push_back(factor2); fg.push_back(factor3); fg.push_back(factor4); Ordering ordering; ordering += "x2","x1","x3","x4"; GaussianJunctionTree junctionTree(fg, ordering); BayesTree bayesTree = junctionTree.eliminate(); typedef BayesTree::sharedConditional sharedConditional; Matrix two = Matrix_(1,1,2.); Matrix one = Matrix_(1,1,1.); BayesTree bayesTree_expected; bayesTree_expected.insert(sharedConditional(new GaussianConditional("x4", Vector_(1,2.), two, Vector_(1,1.))), ordering); bayesTree_expected.insert(sharedConditional(new GaussianConditional("x3", Vector_(1,2.), two, "x4", two, Vector_(1,1.))), ordering); bayesTree_expected.insert(sharedConditional(new GaussianConditional("x1", Vector_(1,0.), one*(-1), "x3", one, Vector_(1,1.))), ordering); bayesTree_expected.insert(sharedConditional(new GaussianConditional("x2", Vector_(1,2.), two, "x1", one, "x3", one, Vector_(1,1.))), ordering); CHECK(assert_equal(bayesTree_expected, bayesTree)); } /* ************************************************************************* * TEST( GaussianFactorGraph, optimizeMultiFrontal ) { // create a graph GaussianFactorGraph fg = createSmoother(7); // create an ordering Ordering ordering; ordering += "x1","x3","x5","x7","x2","x6","x4"; // optimize the graph GaussianJunctionTree junctionTree(fg, ordering); VectorConfig actual = junctionTree.optimize(); // verify // VectorConfig expected = createCorrectDelta(); // // CHECK(assert_equal(expected,actual)); } /* ************************************************************************* */ int main() { TestResult tr; return TestRegistry::runAllTests(tr);} /* ************************************************************************* */