diff options
Diffstat (limited to 'Eigen/src/Core/CwiseBinaryOp.h')
| -rw-r--r-- | Eigen/src/Core/CwiseBinaryOp.h | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/Eigen/src/Core/CwiseBinaryOp.h b/Eigen/src/Core/CwiseBinaryOp.h index 1b93af31b..586f77aaf 100644 --- a/Eigen/src/Core/CwiseBinaryOp.h +++ b/Eigen/src/Core/CwiseBinaryOp.h @@ -94,8 +94,8 @@ struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > // So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to // add together a float matrix and a double matrix. #define EIGEN_CHECK_BINARY_COMPATIBILIY(BINOP,LHS,RHS) \ - EIGEN_STATIC_ASSERT((internal::functor_allows_mixing_real_and_complex<BINOP>::ret \ - ? int(internal::is_same<typename NumTraits<LHS>::Real, typename NumTraits<RHS>::Real>::value) \ + EIGEN_STATIC_ASSERT((internal::functor_is_product_like<BINOP>::ret \ + ? int(internal::scalar_product_traits<LHS, RHS>::Defined) \ : int(internal::is_same<LHS, RHS>::value)), \ YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY) @@ -122,13 +122,13 @@ class CwiseBinaryOp : internal::no_assignment_operator, typedef typename internal::remove_reference<LhsNested>::type _LhsNested; typedef typename internal::remove_reference<RhsNested>::type _RhsNested; - EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& lhs, const Rhs& rhs, const BinaryOp& func = BinaryOp()) - : m_lhs(lhs), m_rhs(rhs), m_functor(func) + EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& aLhs, const Rhs& aRhs, const BinaryOp& func = BinaryOp()) + : m_lhs(aLhs), m_rhs(aRhs), m_functor(func) { EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar); // require the sizes to match EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs) - eigen_assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols()); + eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()); } EIGEN_STRONG_INLINE Index rows() const { @@ -169,17 +169,17 @@ class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Dense> typedef typename internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base; EIGEN_DENSE_PUBLIC_INTERFACE( Derived ) - EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const + EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const { - return derived().functor()(derived().lhs().coeff(row, col), - derived().rhs().coeff(row, col)); + return derived().functor()(derived().lhs().coeff(rowId, colId), + derived().rhs().coeff(rowId, colId)); } template<int LoadMode> - EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const + EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const { - return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(row, col), - derived().rhs().template packet<LoadMode>(row, col)); + return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(rowId, colId), + derived().rhs().template packet<LoadMode>(rowId, colId)); } EIGEN_STRONG_INLINE const Scalar coeff(Index index) const |