devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix PPC rand and other failures.

Browse Source
This commit is contained in:
Antonio Sánchez
2024-02-05 20:07:15 +00:00
parent ebd13c3b14
commit 3ebaab8a63
6 changed files with 51 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
test/product.h
View File

@@ -53,7 +53,7 @@ void product(const MatrixType& m) {
MatrixType::Flags & RowMajorBit ? ColMajor : RowMajor>
OtherMajorMatrixType;
// Wwe want a tighter epsilon for not-approx tests. Otherwise, for certain
// We want a tighter epsilon for not-approx tests. Otherwise, for certain
// low-precision types (e.g. bfloat16), the bound ends up being relatively large
// (e.g. 0.12), causing flaky tests.
RealScalar not_approx_epsilon = RealScalar(0.1) * NumTraits<RealScalar>::dummy_precision();
@@ -69,6 +69,15 @@ void product(const MatrixType& m) {
ColSquareMatrixType square2 = ColSquareMatrixType::Random(cols, cols), res2 = ColSquareMatrixType::Random(cols, cols);
RowVectorType v1 = RowVectorType::Random(rows);
ColVectorType vc2 = ColVectorType::Random(cols), vcres(cols);
// Prevent overflows for integer types.
if (Eigen::NumTraits<Scalar>::IsInteger) {
constexpr Scalar kMaxVal = Scalar(10000);
m1.array() = m1.array() - kMaxVal * (m1.array() / kMaxVal);
m2.array() = m2.array() - kMaxVal * (m2.array() / kMaxVal);
v1.array() = v1.array() - kMaxVal * (v1.array() / kMaxVal);
}
OtherMajorMatrixType tm1 = m1;
Scalar s1 = internal::random<Scalar>();