diff options
author | Rasmus Munk Larsen <rmlarsen@google.com> | 2016-04-14 13:57:35 -0700 |
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committer | Rasmus Munk Larsen <rmlarsen@google.com> | 2016-04-14 13:57:35 -0700 |
commit | 235e83aba608cf3d94b033bfbf551f8c136a3fab (patch) | |
tree | 7b011fee8fe18b605320c69e75995cf8521fbdf4 /unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h | |
parent | 3551dea887ce60756c28796e83bb7c080f2b2782 (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/TensorEvalTo.h')
-rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h | 15 |
1 files changed, 11 insertions, 4 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h index 1fb27a65b..893542d29 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h @@ -88,6 +88,10 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType>, Device> typedef TensorEvalToOp<ArgType> XprType; typedef typename ArgType::Scalar Scalar; typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions; + typedef typename XprType::Index Index; + typedef typename internal::remove_const<typename XprType::CoeffReturnType>::type CoeffReturnType; + typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType; + static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; enum { IsAligned = true, @@ -104,10 +108,6 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType>, Device> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ~TensorEvaluator() { } - typedef typename XprType::Index Index; - typedef typename internal::remove_const<typename XprType::CoeffReturnType>::type CoeffReturnType; - typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType; - EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); } EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(CoeffReturnType* scalar) { @@ -138,6 +138,13 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType>, Device> return internal::ploadt<PacketReturnType, LoadMode>(m_buffer + index); } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const { + // We assume that evalPacket or evalScalar is called to perform the + // assignment and account for the cost of the write here. + return m_impl.costPerCoeff(vectorized) + + TensorOpCost(0, sizeof(CoeffReturnType), 0, vectorized, PacketSize); + } + EIGEN_DEVICE_FUNC CoeffReturnType* data() const { return m_buffer; } private: |