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Fix total deflation issue in BDCSVD, when & only when M is already diagonal.
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@ -29,6 +29,10 @@
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#include "./InternalHeaderCheck.h"
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#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
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#include <iostream>
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#endif
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namespace Eigen {
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#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
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@ -174,7 +178,7 @@ public:
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void setSwitchSize(int s)
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{
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eigen_assert(s>3 && "BDCSVD the size of the algo switch has to be greater than 3");
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eigen_assert(s>=3 && "BDCSVD the size of the algo switch has to be at least 3.");
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m_algoswap = s;
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}
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@ -406,7 +410,7 @@ void BDCSVD<MatrixType>::structured_update(Block<MatrixXr,Dynamic,Dynamic> A, co
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//@param lastCol : The Index of the last column of the submatrix of m_computed and for m_naiveU;
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// lastCol + 1 - firstCol is the size of the submatrix.
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//@param firstRowW : The Index of the first row of the matrix W that we are to change. (see the reference paper section 1 for more information on W)
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//@param firstRowW : Same as firstRowW with the column.
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//@param firstColW : Same as firstRowW with the column.
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//@param shift : Each time one takes the left submatrix, one must add 1 to the shift. Why? Because! We actually want the last column of the U submatrix
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// to become the first column (*coeff) and to shift all the other columns to the right. There are more details on the reference paper.
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template<typename MatrixType>
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@ -901,7 +905,7 @@ void BDCSVD<MatrixType>::computeSingVals(const ArrayRef& col0, const ArrayRef& d
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RealScalar fLeft = secularEq(leftShifted, col0, diag, perm, diagShifted, shift);
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eigen_internal_assert(fLeft<Literal(0));
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#if defined EIGEN_INTERNAL_DEBUGGING || defined EIGEN_BDCSVD_SANITY_CHECKS
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#if defined EIGEN_BDCSVD_DEBUG_VERBOSE || defined EIGEN_BDCSVD_SANITY_CHECKS || defined EIGEN_INTERNAL_DEBUGGING
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RealScalar fRight = secularEq(rightShifted, col0, diag, perm, diagShifted, shift);
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#endif
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@ -1243,9 +1247,9 @@ void BDCSVD<MatrixType>::deflation(Eigen::Index firstCol, Eigen::Index lastCol,
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std::cout << " : " << col0.transpose() << "\n\n";
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#endif
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{
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// Check for total deflation
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// If we have a total deflation, then we have to consider col0(0)==diag(0) as a singular value during sorting
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bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
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// Check for total deflation:
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// If we have a total deflation, then we have to consider col0(0)==diag(0) as a singular value during sorting.
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const bool total_deflation = (col0.tail(length-1).array().abs()<considerZero).all();
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// Sort the diagonal entries, since diag(1:k-1) and diag(k:length) are already sorted, let's do a sorted merge.
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// First, compute the respective permutation.
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@ -54,20 +54,46 @@ void bdcsvd_method()
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VERIFY_IS_APPROX(m.bdcSvd(ComputeFullU|ComputeFullV).adjoint().solve(m), m);
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}
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// compare the Singular values returned with Jacobi and Bdc
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// Compare the Singular values returned with Jacobi and Bdc.
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template<typename MatrixType>
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void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int computationOptions = 0)
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void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int computationOptions = 0, int algoswap = 16, bool random = true)
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{
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MatrixType m = MatrixType::Random(a.rows(), a.cols());
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BDCSVD<MatrixType> bdc_svd(m);
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MatrixType m = random ? MatrixType::Random(a.rows(), a.cols()) : a;
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BDCSVD<MatrixType> bdc_svd(m.rows(), m.cols(), computationOptions);
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bdc_svd.setSwitchSize(algoswap);
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bdc_svd.compute(m);
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JacobiSVD<MatrixType> jacobi_svd(m);
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VERIFY_IS_APPROX(bdc_svd.singularValues(), jacobi_svd.singularValues());
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if(computationOptions & ComputeFullU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
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if(computationOptions & ComputeThinU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
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if(computationOptions & ComputeFullV) VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV());
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if(computationOptions & ComputeThinV) VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV());
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}
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// Verifies total deflation is **not** triggered.
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void compare_bdc_jacobi_instance(bool structure_as_m, int algoswap = 16)
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{
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MatrixXd m(4, 3);
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if (structure_as_m) {
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// The first 3 rows are the reduced form of Matrix 1 as shown below, and it
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// has nonzero elements in the first column and diagonals only.
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m << 1.056293, 0, 0,
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-0.336468, 0.907359, 0,
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-1.566245, 0, 0.149150,
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-0.1, 0, 0;
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} else {
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// Matrix 1.
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m << 0.882336, 18.3914, -26.7921,
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-5.58135, 17.1931, -24.0892,
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-20.794, 8.68496, -4.83103,
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-8.4981, -10.5451, 23.9072;
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}
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compare_bdc_jacobi(m, 0, algoswap, false);
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}
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EIGEN_DECLARE_TEST(bdcsvd)
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{
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CALL_SUBTEST_3(( svd_verify_assert<BDCSVD<Matrix3f> >(Matrix3f()) ));
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@ -114,5 +140,12 @@ EIGEN_DECLARE_TEST(bdcsvd)
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// CALL_SUBTEST_9( svd_preallocate<void>() );
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CALL_SUBTEST_2( svd_underoverflow<void>() );
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}
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// Without total deflation issues.
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CALL_SUBTEST_11(( compare_bdc_jacobi_instance(true) ));
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CALL_SUBTEST_12(( compare_bdc_jacobi_instance(false) ));
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// With total deflation issues before, when it shouldn't be triggered.
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CALL_SUBTEST_13(( compare_bdc_jacobi_instance(true, 3) ));
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CALL_SUBTEST_14(( compare_bdc_jacobi_instance(false, 3) ));
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}
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