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Extend vectorwiseop unit test with column/row vectors as input.
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@ -158,16 +158,22 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
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VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) + colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
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if(rows>1)
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{
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VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
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}
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m2 = m1;
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m2.rowwise() += rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) + rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
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if(cols>1)
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{
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VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
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}
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// test substraction
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@ -176,16 +182,22 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
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VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) - colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
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if(rows>1)
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{
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VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
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}
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m2 = m1;
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m2.rowwise() -= rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) - rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
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if(cols>1)
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{
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VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
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}
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// test norm
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rrres = m1.colwise().norm();
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@ -221,7 +233,7 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
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m2 = m1.rowwise() - (m1.colwise().sum()/m1.rows()).eval();
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m1 = m1.rowwise() - (m1.colwise().sum()/m1.rows());
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VERIFY_IS_APPROX( m1, m2 );
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VERIFY_EVALUATION_COUNT( m2 = (m1.rowwise() - m1.colwise().sum()/m1.rows()), (MatrixType::RowsAtCompileTime==Dynamic ? 1 : 0) );
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VERIFY_EVALUATION_COUNT( m2 = (m1.rowwise() - m1.colwise().sum()/m1.rows()), (MatrixType::RowsAtCompileTime==Dynamic && MatrixType::ColsAtCompileTime!=1 ? 1 : 0) );
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}
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void test_vectorwiseop()
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@ -232,4 +244,6 @@ void test_vectorwiseop()
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CALL_SUBTEST_4( vectorwiseop_matrix(Matrix4cf()) );
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CALL_SUBTEST_5( vectorwiseop_matrix(Matrix<float,4,5>()) );
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CALL_SUBTEST_6( vectorwiseop_matrix(MatrixXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_7( vectorwiseop_matrix(VectorXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_7( vectorwiseop_matrix(RowVectorXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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}
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