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authorGravatar Gael Guennebaud <g.gael@free.fr>2013-03-20 21:19:16 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2013-03-20 21:19:16 +0100
commitc519be2bac43aa8ccaa8d568c3bfafd311286a9f (patch)
tree8711d8dd2c05ce3f8d31d1e409b917aa639c13e0 /Eigen/src/Core/CwiseBinaryOp.h
parentf350f34560d1cc67a8c220d973b003226ff58892 (diff)
Allow multiplication like binary operators to be applied on type couples supported by scalar_product_traits
Diffstat (limited to 'Eigen/src/Core/CwiseBinaryOp.h')
-rw-r--r--Eigen/src/Core/CwiseBinaryOp.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/Eigen/src/Core/CwiseBinaryOp.h b/Eigen/src/Core/CwiseBinaryOp.h
index 686c2afa3..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)