157 lines
		
	
	
		
			5.1 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			157 lines
		
	
	
		
			5.1 KiB
		
	
	
	
		
			C++
		
	
	
| /* ----------------------------------------------------------------------------
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| 
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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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| 
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|  * See LICENSE for the license information
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| 
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|  * -------------------------------------------------------------------------- */
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| 
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| /**
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|  * @file    testSymbolicFactorGraphB.cpp
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|  * @brief   Unit tests for a symbolic Factor Graph
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|  * @author  Frank Dellaert
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|  */
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| 
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| #include <boost/assign/std/list.hpp> // for operator +=
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| using namespace boost::assign;
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| 
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| #include <CppUnitLite/TestHarness.h>
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| 
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| #include <gtsam/slam/smallExample.h>
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| #include <gtsam/inference/SymbolicFactorGraph.h>
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| #include <gtsam/inference/BayesNet-inl.h>
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| #include <gtsam/inference/SymbolicSequentialSolver.h>
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| #include <gtsam/nonlinear/Ordering.h>
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| 
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| using namespace std;
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| using namespace gtsam;
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| using namespace example;
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| 
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| Key kx(size_t i) { return Symbol('x',i); }
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| Key kl(size_t i) { return Symbol('l',i); }
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| 
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| /* ************************************************************************* */
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| TEST( SymbolicFactorGraph, symbolicFactorGraph )
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| {
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|   Ordering o; o += kx(1),kl(1),kx(2);
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| 	// construct expected symbolic graph
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| 	SymbolicFactorGraph expected;
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| 	expected.push_factor(o[kx(1)]);
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| 	expected.push_factor(o[kx(1)],o[kx(2)]);
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| 	expected.push_factor(o[kx(1)],o[kl(1)]);
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| 	expected.push_factor(o[kx(2)],o[kl(1)]);
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| 
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| 	// construct it from the factor graph
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| 	GaussianFactorGraph factorGraph = createGaussianFactorGraph(o);
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| 	SymbolicFactorGraph actual(factorGraph);
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| 
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| 	CHECK(assert_equal(expected, actual));
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| }
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| 
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| ///* ************************************************************************* */
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| //TEST( SymbolicFactorGraph, findAndRemoveFactors )
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| //{
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| //	// construct it from the factor graph graph
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| //	GaussianFactorGraph factorGraph = createGaussianFactorGraph();
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| //	SymbolicFactorGraph actual(factorGraph);
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| //  SymbolicFactor::shared_ptr f1 = actual[0];
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| //  SymbolicFactor::shared_ptr f3 = actual[2];
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| //	actual.findAndRemoveFactors(kx(2));
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| //
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| //	// construct expected graph after find_factors_and_remove
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| //	SymbolicFactorGraph expected;
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| //	SymbolicFactor::shared_ptr null;
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| //	expected.push_back(f1);
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| //	expected.push_back(null);
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| //	expected.push_back(f3);
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| //	expected.push_back(null);
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| //
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| //	CHECK(assert_equal(expected, actual));
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| //}
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| ///* ************************************************************************* */
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| //TEST( SymbolicFactorGraph, factors)
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| //{
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| //	// create a test graph
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| //	GaussianFactorGraph factorGraph = createGaussianFactorGraph();
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| //	SymbolicFactorGraph fg(factorGraph);
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| //
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| //	// ask for all factor indices connected to x1
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| //	list<size_t> x1_factors = fg.factors(kx(1));
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| //	int x1_indices[] = { 0, 1, 2 };
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| //	list<size_t> x1_expected(x1_indices, x1_indices + 3);
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| //	CHECK(x1_factors==x1_expected);
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| //
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| //	// ask for all factor indices connected to x2
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| //	list<size_t> x2_factors = fg.factors(kx(2));
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| //	int x2_indices[] = { 1, 3 };
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| //	list<size_t> x2_expected(x2_indices, x2_indices + 2);
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| //	CHECK(x2_factors==x2_expected);
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| //}
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| 
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| ///* ************************************************************************* */
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| //TEST( SymbolicFactorGraph, removeAndCombineFactors )
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| //{
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| //	// create a test graph
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| //	GaussianFactorGraph factorGraph = createGaussianFactorGraph();
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| //	SymbolicFactorGraph fg(factorGraph);
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| //
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| //  // combine all factors connected to x1
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| //  SymbolicFactor::shared_ptr actual = removeAndCombineFactors(fg,kx(1));
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| //
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| //  // check result
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| //  SymbolicFactor expected(kl(1),kx(1),kx(2));
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| //  CHECK(assert_equal(expected,*actual));
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| //}
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| 
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| ///* ************************************************************************* */
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| //TEST( SymbolicFactorGraph, eliminateOne )
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| //{
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| //  Ordering o; o += kx(1),kl(1),kx(2);
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| //	// create a test graph
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| //	GaussianFactorGraph factorGraph = createGaussianFactorGraph(o);
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| //	SymbolicFactorGraph fg(factorGraph);
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| //
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| //	// eliminate
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| //	IndexConditional::shared_ptr actual = GaussianSequentialSolver::EliminateUntil(fg, o[kx(1)]+1);
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| //
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| //  // create expected symbolic IndexConditional
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| //  IndexConditional expected(o[kx(1)],o[kl(1)],o[kx(2)]);
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| //
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| //  CHECK(assert_equal(expected,*actual));
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| //}
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| 
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| /* ************************************************************************* */
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| TEST( SymbolicFactorGraph, eliminate )
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| {
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|   Ordering o; o += kx(2),kl(1),kx(1);
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| 
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|   // create expected Chordal bayes Net
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|   IndexConditional::shared_ptr x2(new IndexConditional(o[kx(2)], o[kl(1)], o[kx(1)]));
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|   IndexConditional::shared_ptr l1(new IndexConditional(o[kl(1)], o[kx(1)]));
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|   IndexConditional::shared_ptr x1(new IndexConditional(o[kx(1)]));
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| 
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|   SymbolicBayesNet expected;
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|   expected.push_back(x2);
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|   expected.push_back(l1);
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|   expected.push_back(x1);
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| 
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|   // create a test graph
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| 	GaussianFactorGraph factorGraph = createGaussianFactorGraph(o);
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| 	SymbolicFactorGraph fg(factorGraph);
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| 
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| 	// eliminate it
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|   SymbolicBayesNet actual = *SymbolicSequentialSolver(fg).eliminate(&EliminateSymbolic);
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| 
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|   CHECK(assert_equal(expected,actual));
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| }
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| 
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| /* ************************************************************************* */
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| int main() {
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| 	TestResult tr;
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| 	return TestRegistry::runAllTests(tr);
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| }
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| /* ************************************************************************* */
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