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authorGravatar Gael Guennebaud <g.gael@free.fr>2015-06-05 14:33:37 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2015-06-05 14:33:37 +0200
commit98a8d434577713cc0de3259c0aacff9b523eaea9 (patch)
tree6eb3518baa146ff6474d9137fcefe7e73f824955 /test/sparse_solver.h
parentb685660b228577045ac4d950d1f860cc4005c17b (diff)
Improve unit testing of real-word sparse problem (fix some shortcommings, use VERIFY, etc.)
Diffstat (limited to 'test/sparse_solver.h')
-rw-r--r--test/sparse_solver.h174
1 files changed, 90 insertions, 84 deletions
diff --git a/test/sparse_solver.h b/test/sparse_solver.h
index a078851c3..418c18d6a 100644
--- a/test/sparse_solver.h
+++ b/test/sparse_solver.h
@@ -9,6 +9,7 @@
#include "sparse.h"
#include <Eigen/SparseCore>
+#include <sstream>
template<typename Solver, typename Rhs, typename DenseMat, typename DenseRhs>
void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A, const Rhs& b, const DenseMat& dA, const DenseRhs& db)
@@ -25,14 +26,13 @@ void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A,
solver.compute(A);
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: factorization failed (check_sparse_solving)\n";
- exit(0);
- return;
+ std::cerr << "ERROR | sparse solver testing, factorization failed (" << typeid(Solver).name() << ")\n";
+ VERIFY(solver.info() == Success);
}
x = solver.solve(b);
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: solving failed (" << typeid(Solver).name() << ")\n";
+ std::cerr << "WARNING | sparse solver testing: solving failed (" << typeid(Solver).name() << ")\n";
return;
}
VERIFY(oldb.isApprox(b) && "sparse solver testing: the rhs should not be modified!");
@@ -42,43 +42,23 @@ void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A,
// test the analyze/factorize API
solver.analyzePattern(A);
solver.factorize(A);
- if (solver.info() != Success)
- {
- std::cerr << "sparse solver testing: factorization failed (check_sparse_solving)\n";
- exit(0);
- return;
- }
+ VERIFY(solver.info() == Success && "factorization failed when using analyzePattern/factorize API");
x = solver.solve(b);
- if (solver.info() != Success)
- {
- std::cerr << "sparse solver testing: solving failed\n";
- return;
- }
+ VERIFY(solver.info() == Success && "solving failed when using analyzePattern/factorize API");
VERIFY(oldb.isApprox(b) && "sparse solver testing: the rhs should not be modified!");
VERIFY(x.isApprox(refX,test_precision<Scalar>()));
-
x.setZero();
// test with Map
MappedSparseMatrix<Scalar,Mat::Options,StorageIndex> Am(A.rows(), A.cols(), A.nonZeros(), const_cast<StorageIndex*>(A.outerIndexPtr()), const_cast<StorageIndex*>(A.innerIndexPtr()), const_cast<Scalar*>(A.valuePtr()));
solver.compute(Am);
- if (solver.info() != Success)
- {
- std::cerr << "sparse solver testing: factorization failed (check_sparse_solving)\n";
- exit(0);
- return;
- }
+ VERIFY(solver.info() == Success && "factorization failed when using Map");
DenseRhs dx(refX);
dx.setZero();
Map<DenseRhs> xm(dx.data(), dx.rows(), dx.cols());
Map<const DenseRhs> bm(db.data(), db.rows(), db.cols());
xm = solver.solve(bm);
- if (solver.info() != Success)
- {
- std::cerr << "sparse solver testing: solving with a Map failed\n";
- exit(0);
- return;
- }
+ VERIFY(solver.info() == Success && "solving failed when using Map");
VERIFY(oldb.isApprox(bm) && "sparse solver testing: the rhs should not be modified!");
VERIFY(xm.isApprox(refX,test_precision<Scalar>()));
}
@@ -113,41 +93,35 @@ void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A,
}
template<typename Solver, typename Rhs>
-void check_sparse_solving_real_cases(Solver& solver, const typename Solver::MatrixType& A, const Rhs& b, const Rhs& refX)
+void check_sparse_solving_real_cases(Solver& solver, const typename Solver::MatrixType& A, const Rhs& b, const typename Solver::MatrixType& fullA, const Rhs& refX)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef typename Mat::RealScalar RealScalar;
Rhs x(A.cols(), b.cols());
-
+
solver.compute(A);
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: factorization failed (check_sparse_solving_real_cases)\n";
- exit(0);
- return;
+ std::cerr << "ERROR | sparse solver testing, factorization failed (" << typeid(Solver).name() << ")\n";
+ VERIFY(solver.info() == Success);
}
x = solver.solve(b);
+
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: solving failed\n";
+ std::cerr << "WARNING | sparse solver testing, solving failed (" << typeid(Solver).name() << ")\n";
return;
}
- RealScalar res_error;
- // Compute the norm of the relative error
- if(refX.size() != 0)
- res_error = (refX - x).norm()/refX.norm();
- else
- {
- // Compute the relative residual norm
- res_error = (b - A * x).norm()/b.norm();
- }
- if (res_error > test_precision<Scalar>() ){
- std::cerr << "Test " << g_test_stack.back() << " failed in " EI_PP_MAKE_STRING(__FILE__)
- << " (" << EI_PP_MAKE_STRING(__LINE__) << ")" << std::endl << std::endl;
- abort();
+ RealScalar res_error = (fullA*x-b).norm()/b.norm();
+ VERIFY( (res_error <= test_precision<Scalar>() ) && "sparse solver failed without noticing it");
+
+
+ if(refX.size() != 0 && (refX - x).norm()/refX.norm() > test_precision<Scalar>())
+ {
+ std::cerr << "WARNING | found solution is different from the provided reference one\n";
}
}
@@ -160,7 +134,7 @@ void check_sparse_determinant(Solver& solver, const typename Solver::MatrixType&
solver.compute(A);
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: factorization failed (check_sparse_determinant)\n";
+ std::cerr << "WARNING | sparse solver testing: factorization failed (check_sparse_determinant)\n";
return;
}
@@ -177,7 +151,7 @@ void check_sparse_abs_determinant(Solver& solver, const typename Solver::MatrixT
solver.compute(A);
if (solver.info() != Success)
{
- std::cerr << "sparse solver testing: factorization failed (check_sparse_abs_determinant)\n";
+ std::cerr << "WARNING | sparse solver testing: factorization failed (check_sparse_abs_determinant)\n";
return;
}
@@ -224,13 +198,32 @@ inline std::string get_matrixfolder()
mat_folder = mat_folder + static_cast<std::string>("/real/");
return mat_folder;
}
+std::string sym_to_string(int sym)
+{
+ if(sym==Symmetric) return "Symmetric ";
+ if(sym==SPD) return "SPD ";
+ return "";
+}
+template<typename Derived>
+std::string solver_stats(const IterativeSolverBase<Derived> &solver)
+{
+ std::stringstream ss;
+ ss << solver.iterations() << " iters, error: " << solver.error();
+ return ss.str();
+}
+template<typename Derived>
+std::string solver_stats(const SparseSolverBase<Derived> &/*solver*/)
+{
+ return "";
+}
#endif
template<typename Solver> void check_sparse_spd_solving(Solver& solver)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
- typedef SparseMatrix<Scalar,ColMajor, typename Mat::StorageIndex> SpMat;
+ typedef typename Mat::StorageIndex StorageIndex;
+ typedef SparseMatrix<Scalar,ColMajor, StorageIndex> SpMat;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
typedef Matrix<Scalar,Dynamic,1> DenseVector;
@@ -248,12 +241,12 @@ template<typename Solver> void check_sparse_spd_solving(Solver& solver)
DenseMatrix dB(size,rhsCols);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
- check_sparse_solving(solver, A, b, dA, b);
- check_sparse_solving(solver, halfA, b, dA, b);
- check_sparse_solving(solver, A, dB, dA, dB);
- check_sparse_solving(solver, halfA, dB, dA, dB);
- check_sparse_solving(solver, A, B, dA, dB);
- check_sparse_solving(solver, halfA, B, dA, dB);
+ CALL_SUBTEST( check_sparse_solving(solver, A, b, dA, b) );
+ CALL_SUBTEST( check_sparse_solving(solver, halfA, b, dA, b) );
+ CALL_SUBTEST( check_sparse_solving(solver, A, dB, dA, dB) );
+ CALL_SUBTEST( check_sparse_solving(solver, halfA, dB, dA, dB) );
+ CALL_SUBTEST( check_sparse_solving(solver, A, B, dA, dB) );
+ CALL_SUBTEST( check_sparse_solving(solver, halfA, B, dA, dB) );
// check only once
if(i==0)
@@ -264,23 +257,31 @@ template<typename Solver> void check_sparse_spd_solving(Solver& solver)
}
// First, get the folder
-#ifdef TEST_REAL_CASES
- if (internal::is_same<Scalar, float>::value
- || internal::is_same<Scalar, std::complex<float> >::value)
- return ;
-
- std::string mat_folder = get_matrixfolder<Scalar>();
- MatrixMarketIterator<Scalar> it(mat_folder);
- for (; it; ++it)
+#ifdef TEST_REAL_CASES
+ // Test real problems with double precision only
+ if (internal::is_same<typename NumTraits<Scalar>::Real, double>::value)
{
- if (it.sym() == SPD){
- Mat halfA;
- PermutationMatrix<Dynamic, Dynamic, Index> pnull;
- halfA.template selfadjointView<Solver::UpLo>() = it.matrix().template triangularView<Eigen::Lower>().twistedBy(pnull);
-
- std::cout<< " ==== SOLVING WITH MATRIX " << it.matname() << " ==== \n";
- check_sparse_solving_real_cases(solver, it.matrix(), it.rhs(), it.refX());
- check_sparse_solving_real_cases(solver, halfA, it.rhs(), it.refX());
+ std::string mat_folder = get_matrixfolder<Scalar>();
+ MatrixMarketIterator<Scalar> it(mat_folder);
+ for (; it; ++it)
+ {
+ if (it.sym() == SPD){
+ A = it.matrix();
+ Mat halfA;
+ DenseVector b = it.rhs();
+ DenseVector refX = it.refX();
+ PermutationMatrix<Dynamic, Dynamic, StorageIndex> pnull;
+ if(Solver::UpLo == (Lower|Upper))
+ halfA = A;
+ else
+ halfA.template selfadjointView<Solver::UpLo>() = A.template triangularView<Eigen::Lower>().twistedBy(pnull);
+
+ std::cout << "INFO | Testing " << sym_to_string(it.sym()) << "sparse problem " << it.matname()
+ << " (" << A.rows() << "x" << A.cols() << ") using " << typeid(Solver).name() << "..." << std::endl;
+ CALL_SUBTEST( check_sparse_solving_real_cases(solver, A, b, A, refX) );
+ std::cout << "INFO | " << solver_stats(solver) << std::endl;
+ CALL_SUBTEST( check_sparse_solving_real_cases(solver, halfA, b, A, refX) );
+ }
}
}
#endif
@@ -342,9 +343,9 @@ template<typename Solver> void check_sparse_square_solving(Solver& solver)
double density = (std::max)(8./(size*rhsCols), 0.1);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
B.makeCompressed();
- check_sparse_solving(solver, A, b, dA, b);
- check_sparse_solving(solver, A, dB, dA, dB);
- check_sparse_solving(solver, A, B, dA, dB);
+ CALL_SUBTEST(check_sparse_solving(solver, A, b, dA, b));
+ CALL_SUBTEST(check_sparse_solving(solver, A, dB, dA, dB));
+ CALL_SUBTEST(check_sparse_solving(solver, A, B, dA, dB));
// check only once
if(i==0)
@@ -356,16 +357,21 @@ template<typename Solver> void check_sparse_square_solving(Solver& solver)
// First, get the folder
#ifdef TEST_REAL_CASES
- if (internal::is_same<Scalar, float>::value
- || internal::is_same<Scalar, std::complex<float> >::value)
- return ;
-
- std::string mat_folder = get_matrixfolder<Scalar>();
- MatrixMarketIterator<Scalar> it(mat_folder);
- for (; it; ++it)
+ // Test real problems with double precision only
+ if (internal::is_same<typename NumTraits<Scalar>::Real, double>::value)
{
- std::cout<< " ==== SOLVING WITH MATRIX " << it.matname() << " ==== \n";
- check_sparse_solving_real_cases(solver, it.matrix(), it.rhs(), it.refX());
+ std::string mat_folder = get_matrixfolder<Scalar>();
+ MatrixMarketIterator<Scalar> it(mat_folder);
+ for (; it; ++it)
+ {
+ A = it.matrix();
+ DenseVector b = it.rhs();
+ DenseVector refX = it.refX();
+ std::cout << "INFO | Testing " << sym_to_string(it.sym()) << "sparse problem " << it.matname()
+ << " (" << A.rows() << "x" << A.cols() << ") using " << typeid(Solver).name() << "..." << std::endl;
+ CALL_SUBTEST(check_sparse_solving_real_cases(solver, A, b, A, refX));
+ std::cout << "INFO | " << solver_stats(solver) << std::endl;
+ }
}
#endif