diff options
author | Jitse Niesen <jitse@maths.leeds.ac.uk> | 2011-08-21 00:51:15 +0100 |
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committer | Jitse Niesen <jitse@maths.leeds.ac.uk> | 2011-08-21 00:51:15 +0100 |
commit | 9bf4d709e466a7bce29b76cc8981acf60a63bd48 (patch) | |
tree | 84ac685ece28318fdb4cee4ca7565cdfa771f520 /test | |
parent | 9e667e28f56f2ed405f0d1e7b81b63fa82323e4f (diff) |
Fix failures in redux test caused by underflow in .prod() test.
Diffstat (limited to 'test')
-rw-r--r-- | test/redux.cpp | 24 |
1 files changed, 15 insertions, 9 deletions
diff --git a/test/redux.cpp b/test/redux.cpp index daa219690..61d1bf911 100644 --- a/test/redux.cpp +++ b/test/redux.cpp @@ -35,6 +35,10 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m) MatrixType m1 = MatrixType::Random(rows, cols); + // The entries of m1 are uniformly distributed in [0,1], so m1.prod() is very small. This may lead to test + // failures if we underflow into denormals. Thus, we scale so that entires are close to 1. + MatrixType m1_for_prod = MatrixType::Ones(rows, cols) + Scalar(0.2) * m1; + VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1)); VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy Scalar s(0), p(1), minc(internal::real(m1.coeff(0))), maxc(internal::real(m1.coeff(0))); @@ -42,7 +46,7 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m) for(int i = 0; i < rows; i++) { s += m1(i,j); - p *= m1(i,j); + p *= m1_for_prod(i,j); minc = (std::min)(internal::real(minc), internal::real(m1(i,j))); maxc = (std::max)(internal::real(maxc), internal::real(m1(i,j))); } @@ -50,7 +54,7 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m) VERIFY_IS_APPROX(m1.sum(), s); VERIFY_IS_APPROX(m1.mean(), mean); - VERIFY_IS_APPROX(m1.prod(), p); + VERIFY_IS_APPROX(m1_for_prod.prod(), p); VERIFY_IS_APPROX(m1.real().minCoeff(), internal::real(minc)); VERIFY_IS_APPROX(m1.real().maxCoeff(), internal::real(maxc)); @@ -61,7 +65,7 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m) Index c1 = internal::random<Index>(c0+1,cols)-c0; VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).sum(), m1.block(r0,c0,r1,c1).eval().sum()); VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).mean(), m1.block(r0,c0,r1,c1).eval().mean()); - VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).prod(), m1.block(r0,c0,r1,c1).eval().prod()); + VERIFY_IS_APPROX(m1_for_prod.block(r0,c0,r1,c1).prod(), m1_for_prod.block(r0,c0,r1,c1).eval().prod()); VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).real().minCoeff(), m1.block(r0,c0,r1,c1).real().eval().minCoeff()); VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).real().maxCoeff(), m1.block(r0,c0,r1,c1).real().eval().maxCoeff()); @@ -78,6 +82,8 @@ template<typename VectorType> void vectorRedux(const VectorType& w) Index size = w.size(); VectorType v = VectorType::Random(size); + VectorType v_for_prod = VectorType::Ones(size) + Scalar(0.2) * v; // see comment above declaration of m1_for_prod + for(int i = 1; i < size; i++) { Scalar s(0), p(1); @@ -85,12 +91,12 @@ template<typename VectorType> void vectorRedux(const VectorType& w) for(int j = 0; j < i; j++) { s += v[j]; - p *= v[j]; + p *= v_for_prod[j]; minc = (std::min)(minc, internal::real(v[j])); maxc = (std::max)(maxc, internal::real(v[j])); } VERIFY_IS_MUCH_SMALLER_THAN(internal::abs(s - v.head(i).sum()), Scalar(1)); - VERIFY_IS_APPROX(p, v.head(i).prod()); + VERIFY_IS_APPROX(p, v_for_prod.head(i).prod()); VERIFY_IS_APPROX(minc, v.real().head(i).minCoeff()); VERIFY_IS_APPROX(maxc, v.real().head(i).maxCoeff()); } @@ -102,12 +108,12 @@ template<typename VectorType> void vectorRedux(const VectorType& w) for(int j = i; j < size; j++) { s += v[j]; - p *= v[j]; + p *= v_for_prod[j]; minc = (std::min)(minc, internal::real(v[j])); maxc = (std::max)(maxc, internal::real(v[j])); } VERIFY_IS_MUCH_SMALLER_THAN(internal::abs(s - v.tail(size-i).sum()), Scalar(1)); - VERIFY_IS_APPROX(p, v.tail(size-i).prod()); + VERIFY_IS_APPROX(p, v_for_prod.tail(size-i).prod()); VERIFY_IS_APPROX(minc, v.real().tail(size-i).minCoeff()); VERIFY_IS_APPROX(maxc, v.real().tail(size-i).maxCoeff()); } @@ -119,12 +125,12 @@ template<typename VectorType> void vectorRedux(const VectorType& w) for(int j = i; j < size-i; j++) { s += v[j]; - p *= v[j]; + p *= v_for_prod[j]; minc = (std::min)(minc, internal::real(v[j])); maxc = (std::max)(maxc, internal::real(v[j])); } VERIFY_IS_MUCH_SMALLER_THAN(internal::abs(s - v.segment(i, size-2*i).sum()), Scalar(1)); - VERIFY_IS_APPROX(p, v.segment(i, size-2*i).prod()); + VERIFY_IS_APPROX(p, v_for_prod.segment(i, size-2*i).prod()); VERIFY_IS_APPROX(minc, v.real().segment(i, size-2*i).minCoeff()); VERIFY_IS_APPROX(maxc, v.real().segment(i, size-2*i).maxCoeff()); } |