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, 5 insertions, 4 deletions

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h b/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
index 1fb90478f..27bfe1d73 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
@@ -21,16 +21,17 @@ template<typename NullaryOp, typename PlainObjectType> class TensorCwiseNullaryO
 template<typename UnaryOp, typename XprType> class TensorCwiseUnaryOp;
 template<typename BinaryOp, typename LeftXprType, typename RightXprType> class TensorCwiseBinaryOp;
 template<typename IfXprType, typename ThenXprType, typename ElseXprType> class TensorSelectOp;
+template<typename XprType> class TensorReductionOp;
 template<typename Dimensions, typename LeftXprType, typename RightXprType> class TensorContractionOp;
 template<typename Dimensions, typename InputXprType, typename KernelXprType> class TensorConvolutionOp;
 template<typename NewDimensions, typename XprType> class TensorReshapingOp;
-template<typename ExpressionType, typename DeviceType> class TensorDevice;
+template<typename XprType> class TensorForcedEvalOp;
 
-// Move to internal?
-template<typename Derived> struct TensorEvaluator;
+template<typename ExpressionType, typename DeviceType> class TensorDevice;
+template<typename Derived, typename Device> struct TensorEvaluator;
 
 namespace internal {
-template<typename Derived, typename OtherDerived, bool Vectorizable> struct TensorAssign;
+template<typename Derived, typename OtherDerived, typename Device, bool Vectorizable> struct TensorAssign;
 }  // end namespace internal
 
 }  // end namespace Eigen