TensorEval are now typed on the device: this will make it possible to use partial template specialization to optimize the strategy of each evaluator for each device type.

Started work on partial evaluations.

1 files changed, 1 insertions, 1 deletions

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
index dbe60a165..ce524a818 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
@@ -31,7 +31,7 @@ template <typename ExpressionType, typename DeviceType> class TensorDevice {
 
     template<typename OtherDerived>
     EIGEN_STRONG_INLINE TensorDevice& operator=(const OtherDerived& other) {
-      internal::TensorAssign<ExpressionType, const OtherDerived>::run(m_expression, other);
+      internal::TensorAssign<ExpressionType, const OtherDerived, DeviceType>::run(m_expression, other, m_device);
       return *this;
     }