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authorGravatar Gael Guennebaud <g.gael@free.fr>2009-07-22 23:12:22 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2009-07-22 23:12:22 +0200
commit0cb4f32e12a190f43f794a8258661bade74f2eb2 (patch)
tree9e7311990bad978415cc443f77499958eb99028d /test/product_selfadjoint.cpp
parente7f8e939e282a64025203a7a22e511165e1e3647 (diff)
implement high level API for SYMM and fix a couple of bugs related to complex
Diffstat (limited to 'test/product_selfadjoint.cpp')
-rw-r--r--test/product_selfadjoint.cpp68
1 files changed, 52 insertions, 16 deletions
diff --git a/test/product_selfadjoint.cpp b/test/product_selfadjoint.cpp
index 814672696..eca1daacf 100644
--- a/test/product_selfadjoint.cpp
+++ b/test/product_selfadjoint.cpp
@@ -87,6 +87,53 @@ template<typename MatrixType> void product_selfadjoint(const MatrixType& m)
}
}
+template<typename MatrixType> void symm(const MatrixType& m)
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename NumTraits<Scalar>::Real RealScalar;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, Dynamic> Rhs1;
+ typedef Matrix<Scalar, Dynamic, MatrixType::RowsAtCompileTime> Rhs2;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, Dynamic,RowMajor> Rhs3;
+
+ int rows = m.rows();
+ int cols = m.cols();
+
+ MatrixType m1 = MatrixType::Random(rows, cols),
+ m2 = MatrixType::Random(rows, cols);
+
+ m1 = (m1+m1.adjoint()).eval();
+
+ Rhs1 rhs1 = Rhs1::Random(cols, ei_random<int>(1,320)), rhs12, rhs13;
+ Rhs2 rhs2 = Rhs2::Random(ei_random<int>(1,320), rows), rhs22, rhs23;
+ Rhs3 rhs3 = Rhs3::Random(cols, ei_random<int>(1,320)), rhs32, rhs33;
+
+// Scalar s1 = ei_random<Scalar>(),
+// s2 = ei_random<Scalar>();
+
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs12 = m2.template selfadjointView<LowerTriangular>() * rhs1, rhs13 = m1 * rhs1);
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs12 = m2.template selfadjointView<UpperTriangular>() * rhs1, rhs13 = m1 * rhs1);
+
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs22 = m2.template selfadjointView<LowerTriangular>() * rhs2.adjoint(), rhs23 = m1 * rhs2.adjoint());
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs22 = m2.template selfadjointView<UpperTriangular>() * rhs2.adjoint(), rhs23 = m1 * rhs2.adjoint());
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs22 = m2.adjoint().template selfadjointView<LowerTriangular>() * rhs2.adjoint(),
+ rhs23 = m1.adjoint() * rhs2.adjoint());
+
+ // test row major = <...>
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs32 = m2.template selfadjointView<LowerTriangular>() * rhs3, rhs33 = m1 * rhs3);
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs32 = m2.adjoint().template selfadjointView<LowerTriangular>() * rhs3.conjugate(),
+ rhs33 = m1.adjoint() * rhs3.conjugate());
+}
void test_product_selfadjoint()
{
for(int i = 0; i < g_repeat ; i++) {
@@ -102,21 +149,10 @@ void test_product_selfadjoint()
for(int i = 0; i < g_repeat ; i++)
{
- int size = ei_random<int>(10,1024);
- int cols = ei_random<int>(10,320);
- MatrixXf A = MatrixXf::Random(size,size);
- MatrixXf B = MatrixXf::Random(size,cols);
- MatrixXf C = MatrixXf::Random(size,cols);
- MatrixXf R = MatrixXf::Random(size,cols);
- A = (A+A.transpose()).eval();
-
- R = C + (A * B).eval();
-
- A.corner(TopRight,size-1,size-1).triangularView<UpperTriangular>().setZero();
-
- ei_product_selfadjoint_matrix<float,ColMajor,LowerTriangular,false,false>
- (size, A.data(), A.stride(), B.data(), B.stride(), false, B.cols(), C.data(), C.stride(), 1);
-// std::cerr << A << "\n\n" << C << "\n\n" << R << "\n\n";
- VERIFY_IS_APPROX(C,R);
+ int s;
+ s = ei_random<int>(10,320);
+ CALL_SUBTEST( symm(MatrixXf(s, s)) );
+ s = ei_random<int>(10,320);
+ CALL_SUBTEST( symm(MatrixXcd(s, s)) );
}
}