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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
* find the proper way of nesting the expression in Flagged:
finally that's more subtle than just using ei_nested, because when flagging with NestByValueBit we want to store the expression by value already, regardless of whether it already had the NestByValueBit set. * rename temporary() ----> nestByValue() * move the old Product.h to disabled/, replace by what was ProductWIP.h * tweak -O and -g flags for tests and examples * reorder the tests -- basic things go first * simplifications, e.g. in many methoeds return derived() and count on implicit casting to the actual return type. * strip some not-really-useful stuff from the heaviest tests
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@@ -1,5 +1,11 @@
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IF(BUILD_TESTS)
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IF(CMAKE_COMPILER_IS_GNUCXX)
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IF(CMAKE_SYSTEM_NAME MATCHES Linux)
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SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O1 -g2")
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ENDIF(CMAKE_SYSTEM_NAME MATCHES Linux)
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ENDIF(CMAKE_COMPILER_IS_GNUCXX)
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OPTION(EIGEN_NO_ASSERTION_CHECKING "Disable checking of assertions" OFF)
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# similar to SET_TARGET_PROPERTIES but append the property instead of overwritting it
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@@ -64,14 +70,14 @@ FIND_PACKAGE(Qt4 REQUIRED)
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INCLUDE_DIRECTORIES( ${QT_INCLUDE_DIR} )
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EI_ADD_TEST(basicstuff)
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EI_ADD_TEST(miscmatrices)
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EI_ADD_TEST(linearstructure)
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EI_ADD_TEST(cwiseop)
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EI_ADD_TEST(product)
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EI_ADD_TEST(adjoint)
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EI_ADD_TEST(submatrices)
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EI_ADD_TEST(miscmatrices)
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EI_ADD_TEST(smallvectors)
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EI_ADD_TEST(cwiseop)
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EI_ADD_TEST(map)
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EI_ADD_TEST(linearstructure)
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EI_ADD_TEST(product)
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EI_ADD_TEST(triangular)
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EI_ADD_TEST(cholesky)
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# EI_ADD_TEST(determinant)
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@@ -51,23 +51,15 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
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Scalar s1 = ei_random<Scalar>(),
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s2 = ei_random<Scalar>();
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// check involutivity of adjoint, transpose, conjugate
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VERIFY_IS_APPROX(m1.transpose().transpose(), m1);
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VERIFY_IS_APPROX(m1.conjugate().conjugate(), m1);
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VERIFY_IS_APPROX(m1.adjoint().adjoint(), m1);
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// check basic compatibility of adjoint, transpose, conjugate
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VERIFY_IS_APPROX(m1.transpose().conjugate().adjoint(), m1);
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VERIFY_IS_APPROX(m1.adjoint().conjugate().transpose(), m1);
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if(!NumTraits<Scalar>::IsComplex)
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VERIFY_IS_APPROX(m1.adjoint().transpose(), m1);
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// check multiplicative behavior
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VERIFY_IS_APPROX((m1.transpose() * m2).transpose(), m2.transpose() * m1);
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std::cout << (m1.adjoint() * m2).adjoint() << std::endl;
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std::cout << "------------------------------" << std::endl;
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std::cout << m2.adjoint() * m1 << std::endl;
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VERIFY_IS_APPROX((m1.adjoint() * m2).adjoint(), m2.adjoint() * m1);
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VERIFY_IS_APPROX((m1.transpose() * m2).conjugate(), m1.adjoint() * m2.conjugate());
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VERIFY_IS_APPROX((s1 * m1).transpose(), s1 * m1.transpose());
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VERIFY_IS_APPROX((s1 * m1).conjugate(), ei_conj(s1) * m1.conjugate());
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VERIFY_IS_APPROX((s1 * m1).adjoint(), ei_conj(s1) * m1.adjoint());
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// check basic properties of dot, norm, norm2
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@@ -62,11 +62,7 @@ template<typename MatrixType> void linearStructure(const MatrixType& m)
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VERIFY_IS_APPROX(-m2+m1+m2, m1);
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VERIFY_IS_APPROX(m1*s1, s1*m1);
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VERIFY_IS_APPROX((m1+m2)*s1, s1*m1+s1*m2);
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VERIFY_IS_APPROX((s1+s2)*m1, m1*s1+m1*s2);
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VERIFY_IS_APPROX((m1-m2)*s1, s1*m1-s1*m2);
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VERIFY_IS_APPROX((s1-s2)*m1, m1*s1-m1*s2);
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VERIFY_IS_APPROX((-m1+m2)*s1, -s1*m1+s1*m2);
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VERIFY_IS_APPROX((-s1+s2)*m1, -m1*s1+m1*s2);
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m3 = m2; m3 += m1;
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VERIFY_IS_APPROX(m3, m1+m2);
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m3 = m2; m3 -= m1;
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@@ -73,14 +73,10 @@ template<typename MatrixType> void product(const MatrixType& m)
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VERIFY_IS_APPROX(s1*(square*m1), (s1*square)*m1);
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VERIFY_IS_APPROX(s1*(square*m1), square*(m1*s1));
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// continue testing Product.h: lazy product
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VERIFY_IS_APPROX(square.lazy() * m1, square*m1);
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VERIFY_IS_APPROX(square * m1.lazy(), square*m1);
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// again, test operator() to check const-qualification
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s1 += (square.lazy() * m1)(r,c);
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// test Product.h together with Identity.h
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VERIFY_IS_APPROX(m1, identity*m1);
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VERIFY_IS_APPROX(v1, identity*v1);
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// again, test operator() to check const-qualification
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VERIFY_IS_APPROX(MatrixType::identity(rows, cols)(r,c), static_cast<Scalar>(r==c));
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@@ -92,18 +88,14 @@ template<typename MatrixType> void product(const MatrixType& m)
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void test_product()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( product(Matrix<float, 1, 1>()) );
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CALL_SUBTEST( product(Matrix<float, 3, 3>()) );
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CALL_SUBTEST( product(Matrix<float, 4, 2>()) );
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CALL_SUBTEST( product(Matrix3i()) );
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CALL_SUBTEST( product(Matrix<float, 3, 2>()) );
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CALL_SUBTEST( product(Matrix4d()) );
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}
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for(int i = 0; i < g_repeat; i++) {
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int rows = ei_random<int>(1,320);
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int cols = ei_random<int>(1,320);
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CALL_SUBTEST( product(MatrixXf(rows, cols)) );
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CALL_SUBTEST( product(MatrixXd(rows, cols)) );
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CALL_SUBTEST( product(MatrixXi(rows, cols)) );
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CALL_SUBTEST( product(MatrixXcf(rows, cols)) );
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CALL_SUBTEST( product(MatrixXcd(rows, cols)) );
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CALL_SUBTEST( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXd(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXi(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXcf(ei_random<int>(1,50), ei_random<int>(1,50))) );
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}
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}
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