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authorGravatar Rasmus Munk Larsen <rmlarsen@google.com>2016-04-14 13:57:35 -0700
committerGravatar Rasmus Munk Larsen <rmlarsen@google.com>2016-04-14 13:57:35 -0700
commit235e83aba608cf3d94b033bfbf551f8c136a3fab (patch)
tree7b011fee8fe18b605320c69e75995cf8521fbdf4 /unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
parent3551dea887ce60756c28796e83bb7c080f2b2782 (diff)
Eigen cost model part 1. This implements a basic recursive framework to estimate the cost of evaluating tensor expressions.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h8
1 files changed, 8 insertions, 0 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h b/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
index e4154bd0b..9e5791bd3 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
@@ -145,6 +145,14 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
return rslt;
}
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost
+ costPerCoeff(bool vectorized) const {
+ // TODO(rmlarsen): This is just a placeholder. Define interface to make
+ // generators return their cost.
+ return TensorOpCost(0, 0, TensorOpCost::AddCost<Scalar>() +
+ TensorOpCost::MulCost<Scalar>());
+ }
+
EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
protected: