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Aliasing doc: explain that some cases are detected, reverse order examples.
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@ -18,31 +18,7 @@ to do about it.
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\section TopicAliasingExamples Examples
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The following example exhibiting aliasing was mentioned in \ref TutorialMatrixArithmetic :
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<table class="tutorial_code"><tr><td>
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Example: \include tut_arithmetic_transpose_aliasing.cpp
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</td>
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<td>
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Output: \verbinclude tut_arithmetic_transpose_aliasing.out
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</td></tr></table>
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The output is not what one would expect. In fact, the transpose of the matrix is
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\f[
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\mbox{a.transpose()} = \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix}.
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\f]
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The problem here is that Eigen's implementation uses lazy evaluation
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(see \ref TopicEigenExpressionTemplates). The result is similar to
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\code
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for (Matrix2i::Index j = 0; j < a.cols(); ++j)
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for (Matrix2i::Index i = 0; i < a.rows(); ++i)
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a(i,j) = a(j,i);
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\endcode
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Thus, when <tt>a(1,0)</tt> is written to, it uses the new value of <tt>a(0,1)</tt> instead of the old one, and
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this leads to the wrong result.
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The next section explains how to solve this problem, but first we want to show one more example to illustrate
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that aliasing can be a bit more subtle.
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Here is a simple example exhibiting aliasing:
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<table class="tutorial_code"><tr><td>
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Example: \include TopicAliasing_block.cpp
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@ -51,10 +27,50 @@ Example: \include TopicAliasing_block.cpp
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Output: \verbinclude TopicAliasing_block.out
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</td></tr></table>
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The blocks <tt>mat.bottomRightCorner(2,2)</tt> and <tt>mat.topLeftCorner(2,2)</tt> overlap, because both
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contain the coefficient <tt>mat(1,1)</tt> at the centre of the 3-by-3 matrix \c mat . Thus, this example
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exhibits aliasing, and indeed the result is wrong: the (2,2) entry in the bottom right corner should be
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5. However, if \c mat were a 4-by-4 matrix, then the blocks would not overlop, and there would be no aliasing.
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The output is not what one would expect. The problem is the assignment
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\code
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mat.bottomRightCorner(2,2) = mat.topLeftCorner(2,2);
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\endcode
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After the assignment, the (2,2) entry in the bottom right corner should have the value of \c mat(1,1) before
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the assignment, which is 5. However, the output shows that \c mat(2,2) is actually 1. The problem is that
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Eigen uses lazy evaluation (see \ref TopicEigenExpressionTemplates) for <tt>mat.topLeftCorner(2,2)</tt>. The
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result is similar to
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\code
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mat(1,1) = mat(0,0);
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mat(1,2) = mat(0,1);
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mat(2,1) = mat(1,0);
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mat(2,2) = mat(1,1);
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\endcode
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Thus, \c mat(2,2) is assigned the \e new value of \c mat(1,1) instead of the old value. The issue here is that
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the blocks <tt>mat.bottomRightCorner(2,2)</tt> and <tt>mat.topLeftCorner(2,2)</tt> overlap, because both
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contain the coefficient <tt>mat(1,1)</tt> at the centre of the 3-by-3 matrix \c mat . The next section
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explains how to solve this problem by calling \link DenseBase::eval() eval()\endlink.
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Note that if \c mat were a bigger, then the blocks would not overlop, and there would be no aliasing
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problem. This means that in general aliasing cannot be detected at compile time. However, Eigen does detect
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some instances of aliasing, albeit at run time. The following example exhibiting aliasing was mentioned in
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\ref TutorialMatrixArithmetic :
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<table class="tutorial_code"><tr><td>
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Example: \include tut_arithmetic_transpose_aliasing.cpp
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</td>
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<td>
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Output: \verbinclude tut_arithmetic_transpose_aliasing.out
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</td></tr></table>
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Again, the output shows the aliasing issue. However, by default Eigen uses a run-time assertion to detect this
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and exits with a message like
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\code
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void Eigen::DenseBase<Derived>::checkTransposeAliasing(const OtherDerived&) const
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[with OtherDerived = Eigen::Transpose<Eigen::Matrix<int, 2, 2, 0, 2, 2> >, Derived = Eigen::Matrix<int, 2, 2, 0, 2, 2>]:
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Assertion `(!ei_check_transpose_aliasing_selector<Scalar,ei_blas_traits<Derived>::IsTransposed,OtherDerived>::run(ei_extract_data(derived()), other))
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&& "aliasing detected during tranposition, use transposeInPlace() or evaluate the rhs into a temporary using .eval()"' failed.
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\endcode
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The user can turn Eigen's run-time assertions like the one to detect this aliasing problem off by defining the
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EIGEN_NO_DEBUG macro, and the above program was compiled with this macro turned off in order to illustrate the
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aliasing problem. See \ref TopicAssertions for more information about Eigen's run-time assertions.
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\section TopicAliasingSolution Resolving aliasing issues
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@ -1,4 +1,4 @@
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Matrix3i mat;
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MatrixXi mat(3,3);
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mat << 1, 2, 3, 4, 5, 6, 7, 8, 9;
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cout << "Here is the matrix mat:\n" << mat << endl;
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mat.bottomRightCorner(2,2) = mat.topLeftCorner(2,2);
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