From 6de6fa94830ff6d2be0e1ceed4587cad88b11762 Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Tue, 7 Jul 2015 15:23:56 -0700
Subject: 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.

---
 unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h')

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();
       }
-- 
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