From c07404f6a1324f515841695666ca91af70f8b8a5 Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Fri, 29 Apr 2016 15:19:19 -0700
Subject: Restore Tensor support for non c++11 compilers

---
 unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

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

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h b/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
index 4e8f86674..0f6dcedaa 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
@@ -34,25 +34,25 @@ class TensorOpCost {
   template <typename ArgType>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static int MulCost() {
     return internal::functor_traits<
-        internal::scalar_product_op<ArgType, ArgType>>::Cost;
+        internal::scalar_product_op<ArgType, ArgType> >::Cost;
   }
   template <typename ArgType>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static int AddCost() {
-    return internal::functor_traits<internal::scalar_sum_op<ArgType>>::Cost;
+    return internal::functor_traits<internal::scalar_sum_op<ArgType> >::Cost;
   }
   template <typename ArgType>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static int DivCost() {
     return internal::functor_traits<
-        internal::scalar_quotient_op<ArgType, ArgType>>::Cost;
+        internal::scalar_quotient_op<ArgType, ArgType> >::Cost;
   }
   template <typename ArgType>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static int ModCost() {
-    return internal::functor_traits<internal::scalar_mod_op<ArgType>>::Cost;
+    return internal::functor_traits<internal::scalar_mod_op<ArgType> >::Cost;
   }
   template <typename SrcType, typename TargetType>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static int CastCost() {
     return internal::functor_traits<
-        internal::scalar_cast_op<SrcType, TargetType>>::Cost;
+        internal::scalar_cast_op<SrcType, TargetType> >::Cost;
   }
 
   TensorOpCost() : bytes_loaded_(0), bytes_stored_(0), compute_cycles_(0) {}
-- 
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