Use NumTraits<T>::RequireInitialization instead of internal::is_arithmetic<T>::value to check whether it's possible to bypass the type constructor in the tensor code.

1 files changed, 1 insertions, 1 deletions

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h b/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
index d253b70f3..d0202559a 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
@@ -109,7 +109,7 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
     const Index numValues = m_impl.dimensions().TotalSize();
     m_buffer = (CoeffReturnType*)m_device.allocate(numValues * sizeof(CoeffReturnType));
     // Should initialize the memory in case we're dealing with non POD types.
-    if (!internal::is_arithmetic<CoeffReturnType>::value) {
+    if (NumTraits<CoeffReturnType>::RequireInitialization) {
       for (Index i = 0; i < numValues; ++i) {
         new(m_buffer+i) CoeffReturnType();
       }