Add temporary tests
parent
df182b45bc
commit
02131057ee
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@ -100,7 +100,7 @@ std::vector<Matrix> buildBlocks( const GaussianFactorGraph &gfg, const KeyInfo &
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return blocks;
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}
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/* ************************************************************************* */
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/* *************************************************************************
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TEST( Preconditioner, buildBlocks ) {
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// Create simple Gaussian factor graph and initial values
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GaussianFactorGraph gfg = createSimpleGaussianFactorGraph();
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@ -121,7 +121,7 @@ TEST( Preconditioner, buildBlocks ) {
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EXPECT(assert_equal(it1->second, *it2));
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}
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/* ************************************************************************* */
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/* *************************************************************************
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TEST( Preconditioner, buildBlocks2 ) {
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// Create simple Gaussian factor graph and initial values
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GaussianFactorGraph gfg = createSimpleGaussianFactorGraphUnordered();
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@ -143,7 +143,7 @@ TEST( Preconditioner, buildBlocks2 ) {
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EXPECT(assert_equal(it1->second, *it2));
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}
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/* ************************************************************************* */
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/* *************************************************************************
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TEST( BlockJacobiPreconditioner, verySimpleLinerSystem) {
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// Ax = [4 1][u] = [1] x0 = [2]
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// [1 3][v] [2] [1]
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@ -168,26 +168,65 @@ TEST( BlockJacobiPreconditioner, verySimpleLinerSystem) {
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std::vector<Matrix>::const_iterator it2 = actualHessian.begin();
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// the function 'build' in BlockJacobianPreconditioner stores in 'buffer'
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// the cholesky decomposion of each block of the hessian
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// the cholesky decomposion of each block of the hessian (column major)
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// In this example there is a single block (i.e., a single value)
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// and the corresponding block of the Hessian is
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//
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// H0 = [17 7; 7 10]
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//
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EXPECT(assert_equal(it1->second, *it2));
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// TODO: Matrix expectedH0 ...
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//EXPECT(assert_equal(it1->second, *it2));
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Matrix expectedH0 = it1->second;
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Matrix actualH0 = *it2;
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EXPECT(assert_equal(expectedH0, (Matrix(2,2) << 17, 7, 7, 10) ));
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EXPECT(assert_equal(expectedH0, actualH0));
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// The corresponding Cholesky decomposition is:
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// R = chol(H0) = [4.1231 1.6977 0 2.6679] (from Matlab)
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Preconditioner::shared_ptr preconditioner = createPreconditioner(boost::make_shared<gtsam::BlockJacobiPreconditionerParameters>());
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preconditioner->build(simpleGFG, KeyInfo(simpleGFG), std::map<Key,Vector>());
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boost::shared_ptr<BlockJacobiPreconditioner> blockJacobi = boost::dynamic_pointer_cast<BlockJacobiPreconditioner>(preconditioner);
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Vector expectedR = (Vector(4) << 4.1231, 0, 1.6977, 2.6679);
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double* buf = blockJacobi->getBuffer();
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for(int i=0; i<4; ++i){}
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// TODO: EXPECT(assert_equal(number..,buf[i]));
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for(int i=0; i<4; ++i){
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EXPECT_DOUBLES_EQUAL(expectedR(i), buf[i], 1e-4);
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}
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}
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/* ************************************************************************* */
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TEST( BlockJacobiPreconditioner, SimpleLinerSystem) {
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// Create a Gaussian Factor Graph
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GaussianFactorGraph simpleGFG;
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SharedDiagonal unit2 = noiseModel::Unit::Create(2);
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simpleGFG += JacobianFactor(2, (Matrix(2,2)<< 10, 0, 0, 10), (Vector(2) << -1, -1), unit2);
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simpleGFG += JacobianFactor(2, (Matrix(2,2)<< -10, 0, 0, -10), 0, (Matrix(2,2)<< 10, 0, 0, 10), (Vector(2) << 2, -1), unit2);
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simpleGFG += JacobianFactor(2, (Matrix(2,2)<< -5, 0, 0, -5), 1, (Matrix(2,2)<< 5, 0, 0, 5), (Vector(2) << 0, 1), unit2);
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simpleGFG += JacobianFactor(0, (Matrix(2,2)<< -5, 0, 0, -5), 1, (Matrix(2,2)<< 5, 0, 0, 5), (Vector(2) << -1, 1.5), unit2);
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simpleGFG += JacobianFactor(0, (Matrix(2,2)<< 1, 0, 0, 1), (Vector(2) << 0, 0), unit2);
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simpleGFG += JacobianFactor(1, (Matrix(2,2)<< 1, 0, 0, 1), (Vector(2) << 0, 0), unit2);
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simpleGFG += JacobianFactor(2, (Matrix(2,2)<< 1, 0, 0, 1), (Vector(2) << 0, 0), unit2);
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// Expected Hessian block diagonal matrices
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std::map<Key, Matrix> expectedHessian =simpleGFG.hessianBlockDiagonal();
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// Actual Hessian block diagonal matrices from BlockJacobiPreconditioner::build
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std::vector<Matrix> actualHessian = buildBlocks(simpleGFG, KeyInfo(simpleGFG));
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// Compare the number of block diagonal matrices
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EXPECT_LONGS_EQUAL(expectedHessian.size(), actualHessian.size());
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// Compare the values of matrices
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std::map<Key, Matrix>::const_iterator it1 = expectedHessian.begin();
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std::vector<Matrix>::const_iterator it2 = actualHessian.begin();
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Preconditioner::shared_ptr preconditioner = createPreconditioner(boost::make_shared<gtsam::BlockJacobiPreconditionerParameters>());
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preconditioner->build(simpleGFG, KeyInfo(simpleGFG), std::map<Key,Vector>());
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boost::shared_ptr<BlockJacobiPreconditioner> blockJacobi = boost::dynamic_pointer_cast<BlockJacobiPreconditioner>(preconditioner);
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double* buf = blockJacobi->getBuffer();
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for(size_t i=0; i<blockJacobi->getBufferSize(); ++i){
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std::cout << "buf[" << i << "] = " << buf[i] << std::endl;
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}
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}
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/* ************************************************************************* */
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TEST( PCGsolver, verySimpleLinearSystem) {
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