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As proposed on the list:
- rename EvalBeforeAssignBit to MayAliasBit - make .lazy() remove the MayAliasBit only, and mark it as deprecated - add a NoAlias pseudo expression, and MatrixBase::noalias() function Todo: - we have to decide whether += and -= assume no aliasing by default ? - once we agree on the API: update the Sparse module and the unit tests respectively.
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@@ -71,15 +71,19 @@ template<typename MatrixType> void product_notemporary(const MatrixType& m)
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VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1);
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VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0);
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// NOTE in this case the slow product is used:
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// FIXME:
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// VERIFY_EVALUATION_COUNT( m3 = s1 * (m1 * m2.transpose()).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * (m1 * m2.transpose()), 0);
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VERIFY_EVALUATION_COUNT( m3 = (s1 * m1 * s2 * m2.adjoint()).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3 = (s1 * m1 * s2 * (m1*s3+m2*s2).adjoint()).lazy(), 1);
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VERIFY_EVALUATION_COUNT( m3 = ((s1 * m1).adjoint() * s2 * m2).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3 -= (s1 * (-m1*s3).adjoint() * (s2 * m2 * s3)).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3 += (s1 * (-m1*s3).adjoint() * (s2 * m2 * s3)).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() += s1 * (-m1*s3).adjoint() * (s2 * m2 * s3), 0);
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VERIFY_EVALUATION_COUNT( m3 -= (s1 * (m1.transpose() * m2)).lazy(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() -= s1 * (m1.transpose() * m2), 0);
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VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1) += (-m1.block(r0,c0,r1,c1) * (s2*m2.block(r0,c0,r1,c1)).adjoint()).lazy() ), 0);
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VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1) -= (s1 * m1.block(r0,c0,r1,c1) * m2.block(c0,r0,c1,r1)).lazy() ), 0);
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@@ -86,7 +86,8 @@ template<typename MatrixType> void submatrices(const MatrixType& m)
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//check row() and col()
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VERIFY_IS_APPROX(m1.col(c1).transpose(), m1.transpose().row(c1));
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VERIFY_IS_APPROX(m1.col(c1).dot(square.row(r1)), (square.lazy() * m1.conjugate()).eval()(r1,c1));
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// FIXME perhaps we should re-enable that without the .eval()
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VERIFY_IS_APPROX(m1.col(c1).dot(square.row(r1)), (square * m1.conjugate()).eval()(r1,c1));
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//check operator(), both constant and non-constant, on row() and col()
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m1.row(r1) += s1 * m1.row(r2);
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m1.col(c1) += s1 * m1.col(c2);
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