diff options
Diffstat (limited to 'test/product_extra.cpp')
| -rw-r--r-- | test/product_extra.cpp | 36 |
1 files changed, 20 insertions, 16 deletions
diff --git a/test/product_extra.cpp b/test/product_extra.cpp index 213dbced6..3ad99fc7a 100644 --- a/test/product_extra.cpp +++ b/test/product_extra.cpp @@ -59,16 +59,13 @@ template<typename MatrixType> void product_extra(const MatrixType& m) // r0 = ei_random<int>(0,rows/2-1), // r1 = ei_random<int>(rows/2,rows); - // all the expressions in this test should be compiled as a single matrix product - // TODO: add internal checks to verify that - - VERIFY_IS_APPROX(m3 = (m1 * m2.adjoint()).lazy(), m1 * m2.adjoint().eval()); - VERIFY_IS_APPROX(m3 = (m1.adjoint() * square.adjoint()).lazy(), m1.adjoint().eval() * square.adjoint().eval()); - VERIFY_IS_APPROX(m3 = (m1.adjoint() * m2).lazy(), m1.adjoint().eval() * m2); - VERIFY_IS_APPROX(m3 = ((s1 * m1.adjoint()) * m2).lazy(), (s1 * m1.adjoint()).eval() * m2); - VERIFY_IS_APPROX(m3 = ((- m1.adjoint() * s1) * (s3 * m2)).lazy(), (- m1.adjoint() * s1).eval() * (s3 * m2).eval()); - VERIFY_IS_APPROX(m3 = ((s2 * m1.adjoint() * s1) * m2).lazy(), (s2 * m1.adjoint() * s1).eval() * m2); - VERIFY_IS_APPROX(m3 = ((-m1*s2) * s1*m2.adjoint()).lazy(), (-m1*s2).eval() * (s1*m2.adjoint()).eval()); + VERIFY_IS_APPROX(m3.noalias() = m1 * m2.adjoint(), m1 * m2.adjoint().eval()); + VERIFY_IS_APPROX(m3.noalias() = m1.adjoint() * square.adjoint(), m1.adjoint().eval() * square.adjoint().eval()); + VERIFY_IS_APPROX(m3.noalias() = m1.adjoint() * m2, m1.adjoint().eval() * m2); + VERIFY_IS_APPROX(m3.noalias() = (s1 * m1.adjoint()) * m2, (s1 * m1.adjoint()).eval() * m2); + VERIFY_IS_APPROX(m3.noalias() = (- m1.adjoint() * s1) * (s3 * m2), (- m1.adjoint() * s1).eval() * (s3 * m2).eval()); + VERIFY_IS_APPROX(m3.noalias() = (s2 * m1.adjoint() * s1) * m2, (s2 * m1.adjoint() * s1).eval() * m2); + VERIFY_IS_APPROX(m3.noalias() = (-m1*s2) * s1*m2.adjoint(), (-m1*s2).eval() * (s1*m2.adjoint()).eval()); // a very tricky case where a scale factor has to be automatically conjugated: VERIFY_IS_APPROX( m1.adjoint() * (s1*m2).conjugate(), (m1.adjoint()).eval() * ((s1*m2).conjugate()).eval()); @@ -76,7 +73,6 @@ template<typename MatrixType> void product_extra(const MatrixType& m) // test all possible conjugate combinations for the four matrix-vector product cases: -// std::cerr << "a\n"; VERIFY_IS_APPROX((-m1.conjugate() * s2) * (s1 * vc2), (-m1.conjugate()*s2).eval() * (s1 * vc2).eval()); VERIFY_IS_APPROX((-m1 * s2) * (s1 * vc2.conjugate()), @@ -84,7 +80,6 @@ template<typename MatrixType> void product_extra(const MatrixType& m) VERIFY_IS_APPROX((-m1.conjugate() * s2) * (s1 * vc2.conjugate()), (-m1.conjugate()*s2).eval() * (s1 * vc2.conjugate()).eval()); -// std::cerr << "b\n"; VERIFY_IS_APPROX((s1 * vc2.transpose()) * (-m1.adjoint() * s2), (s1 * vc2.transpose()).eval() * (-m1.adjoint()*s2).eval()); VERIFY_IS_APPROX((s1 * vc2.adjoint()) * (-m1.transpose() * s2), @@ -92,7 +87,6 @@ template<typename MatrixType> void product_extra(const MatrixType& m) VERIFY_IS_APPROX((s1 * vc2.adjoint()) * (-m1.adjoint() * s2), (s1 * vc2.adjoint()).eval() * (-m1.adjoint()*s2).eval()); -// std::cerr << "c\n"; VERIFY_IS_APPROX((-m1.adjoint() * s2) * (s1 * v1.transpose()), (-m1.adjoint()*s2).eval() * (s1 * v1.transpose()).eval()); VERIFY_IS_APPROX((-m1.transpose() * s2) * (s1 * v1.adjoint()), @@ -100,7 +94,6 @@ template<typename MatrixType> void product_extra(const MatrixType& m) VERIFY_IS_APPROX((-m1.adjoint() * s2) * (s1 * v1.adjoint()), (-m1.adjoint()*s2).eval() * (s1 * v1.adjoint()).eval()); -// std::cerr << "d\n"; VERIFY_IS_APPROX((s1 * v1) * (-m1.conjugate() * s2), (s1 * v1).eval() * (-m1.conjugate()*s2).eval()); VERIFY_IS_APPROX((s1 * v1.conjugate()) * (-m1 * s2), @@ -111,13 +104,24 @@ template<typename MatrixType> void product_extra(const MatrixType& m) VERIFY_IS_APPROX((-m1.adjoint() * s2) * (s1 * v1.adjoint()), (-m1.adjoint()*s2).eval() * (s1 * v1.adjoint()).eval()); + // test the vector-matrix product with non aligned starts + int i = ei_random<int>(0,m1.rows()-2); + int j = ei_random<int>(0,m1.cols()-2); + int r = ei_random<int>(1,m1.rows()-i); + int c = ei_random<int>(1,m1.cols()-j); + int i2 = ei_random<int>(0,m1.rows()-1); + int j2 = ei_random<int>(0,m1.cols()-1); + + VERIFY_IS_APPROX(m1.col(j2).adjoint() * m1.block(0,j,m1.rows(),c), m1.col(j2).adjoint().eval() * m1.block(0,j,m1.rows(),c).eval()); + VERIFY_IS_APPROX(m1.block(i,0,r,m1.cols()) * m1.row(i2).adjoint(), m1.block(i,0,r,m1.cols()).eval() * m1.row(i2).adjoint().eval()); + } void test_product_extra() { for(int i = 0; i < g_repeat; i++) { - CALL_SUBTEST( product_extra(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) ); + CALL_SUBTEST( product_extra(MatrixXf(ei_random<int>(2,320), ei_random<int>(2,320))) ); CALL_SUBTEST( product_extra(MatrixXcf(ei_random<int>(50,50), ei_random<int>(50,50))) ); - CALL_SUBTEST( product_extra(Matrix<std::complex<double>,Dynamic,Dynamic,RowMajor>(ei_random<int>(1,50), ei_random<int>(1,50))) ); + CALL_SUBTEST( product_extra(Matrix<std::complex<double>,Dynamic,Dynamic,RowMajor>(ei_random<int>(2,50), ei_random<int>(2,50))) ); } } |