// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Mehdi Goli Codeplay Software Ltd. // Ralph Potter Codeplay Software Ltd. // Luke Iwanski Codeplay Software Ltd. // Contact: <eigen@codeplay.com> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. /***************************************************************** * TensorSyclextractFunctors.h * * \brief: * Used to extract all the functors allocated to each node of the expression *tree. * *****************************************************************/ #ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXTRACT_FUNCTORS_HPP #define UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXTRACT_FUNCTORS_HPP namespace Eigen { namespace TensorSycl { namespace internal { /// \struct FunctorExtractor: This struct is used to extract the functors /// constructed on /// the host-side, to pack them and reuse them in reconstruction of the /// expression on the device. /// We have to do that as in Eigen the functors are not stateless so we cannot /// re-instantiate them on the device. /// We have to pass instantiated functors to the device. // This struct is used for leafNode (TensorMap) and nodes behaving like leafNode (TensorForcedEval). template <typename Evaluator> struct FunctorExtractor{ typedef typename Evaluator::Dimensions Dimensions; const Dimensions m_dimensions; const Dimensions& dimensions() const { return m_dimensions; } FunctorExtractor(const Evaluator& expr) : m_dimensions(expr.dimensions()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorCwiseNullaryOp, const TensorCwiseUnaryOp, and const TensorBroadcastingOp template <template <class, class> class UnaryCategory, typename OP, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<const UnaryCategory<OP, RHSExpr>, Dev> > { FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr; OP func; FunctorExtractor(const TensorEvaluator<const UnaryCategory<OP, RHSExpr>, Dev>& expr) : rhsExpr(expr.impl()), func(expr.functor()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// TensorCwiseNullaryOp, TensorCwiseUnaryOp, and TensorBroadcastingOp template <template <class, class> class UnaryCategory, typename OP, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<UnaryCategory<OP, RHSExpr>, Dev> > : FunctorExtractor<TensorEvaluator<const UnaryCategory<OP, RHSExpr>, Dev> >{}; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorCwiseBinaryOp template <template<class, class, class> class BinaryCategory, typename OP, typename LHSExpr, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<const BinaryCategory<OP, LHSExpr, RHSExpr>, Dev> > { FunctorExtractor<TensorEvaluator<LHSExpr, Dev> > lhsExpr; FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr; OP func; FunctorExtractor(const TensorEvaluator<const BinaryCategory<OP, LHSExpr, RHSExpr>, Dev>& expr) : lhsExpr(expr.left_impl()),rhsExpr(expr.right_impl()),func(expr.functor()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorCwiseBinaryOp template <template <class, class, class> class BinaryCategory, typename OP, typename LHSExpr, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<BinaryCategory<OP, LHSExpr, RHSExpr>, Dev> > : FunctorExtractor<TensorEvaluator<const BinaryCategory<OP, LHSExpr, RHSExpr>, Dev> >{}; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorCwiseTernaryOp template <template <class, class, class, class> class TernaryCategory, typename OP, typename Arg1Expr, typename Arg2Expr, typename Arg3Expr,typename Dev> struct FunctorExtractor<TensorEvaluator<const TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev> > { FunctorExtractor<TensorEvaluator<Arg1Expr, Dev> > arg1Expr; FunctorExtractor<TensorEvaluator<Arg2Expr, Dev> > arg2Expr; FunctorExtractor<TensorEvaluator<Arg3Expr, Dev> > arg3Expr; OP func; FunctorExtractor(const TensorEvaluator<const TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>& expr) : arg1Expr(expr.arg1Impl()), arg2Expr(expr.arg2Impl()), arg3Expr(expr.arg3Impl()), func(expr.functor()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// TensorCwiseTernaryOp template <template <class, class, class, class> class TernaryCategory, typename OP, typename Arg1Expr, typename Arg2Expr, typename Arg3Expr, typename Dev> struct FunctorExtractor<TensorEvaluator< TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev> > :FunctorExtractor<TensorEvaluator<const TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev> >{}; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorCwiseSelectOp. This is an specialisation without OP so it has to be separated. template <typename IfExpr, typename ThenExpr, typename ElseExpr, typename Dev> struct FunctorExtractor< TensorEvaluator<const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev> > { FunctorExtractor<TensorEvaluator<IfExpr, Dev> > ifExpr; FunctorExtractor<TensorEvaluator<ThenExpr, Dev> > thenExpr; FunctorExtractor<TensorEvaluator<ElseExpr, Dev> > elseExpr; FunctorExtractor(const TensorEvaluator<const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev>& expr) : ifExpr(expr.cond_impl()), thenExpr(expr.then_impl()), elseExpr(expr.else_impl()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// TensorCwiseSelectOp. This is an specialisation without OP so it has to be separated template <typename IfExpr, typename ThenExpr, typename ElseExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev> > :FunctorExtractor< TensorEvaluator<const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev> > {}; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorAssignOp. This is an specialisation without OP so it has to be separated. template <typename LHSExpr, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<const TensorAssignOp<LHSExpr, RHSExpr>, Dev> > { FunctorExtractor<TensorEvaluator<LHSExpr, Dev> > lhsExpr; FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr; FunctorExtractor(const TensorEvaluator<const TensorAssignOp<LHSExpr, RHSExpr>, Dev>& expr) : lhsExpr(expr.left_impl()), rhsExpr(expr.right_impl()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// TensorAssignOp. This is an specialisation without OP so it has to be separated. template <typename LHSExpr, typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<TensorAssignOp<LHSExpr, RHSExpr>, Dev> > :FunctorExtractor<TensorEvaluator<const TensorAssignOp<LHSExpr, RHSExpr>, Dev> >{}; /// specialisation of the \ref FunctorExtractor struct when the node type is /// const TensorEvalToOp, This is an specialisation without OP so it has to be separated. template <typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<const TensorEvalToOp<RHSExpr>, Dev> > { FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr; FunctorExtractor(const TensorEvaluator<const TensorEvalToOp<RHSExpr>, Dev>& expr) : rhsExpr(expr.impl()) {} }; /// specialisation of the \ref FunctorExtractor struct when the node type is /// TensorEvalToOp. This is a specialisation without OP so it has to be separated. template <typename RHSExpr, typename Dev> struct FunctorExtractor<TensorEvaluator<TensorEvalToOp<RHSExpr>, Dev> > : FunctorExtractor<TensorEvaluator<const TensorEvalToOp<RHSExpr>, Dev> > {}; template<typename Dim, size_t NumOutputDim> struct DimConstr { template<typename InDim> static inline Dim getDim(InDim dims ) {return dims;} }; template<typename Dim> struct DimConstr<Dim, 0> { template<typename InDim> static inline Dim getDim(InDim dims ) {return Dim(dims.TotalSize());} }; template<typename Op, typename Dims, typename ArgType, template <class> class MakePointer_, typename Device> struct FunctorExtractor<TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>>{ typedef TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device> Evaluator; typedef typename Eigen::internal::conditional<Evaluator::NumOutputDims==0, DSizes<typename Evaluator::Index, 1>, typename Evaluator::Dimensions >::type Dimensions; const Dimensions m_dimensions; const Dimensions& dimensions() const { return m_dimensions; } FunctorExtractor(const TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>& expr) : m_dimensions(DimConstr<Dimensions, Evaluator::NumOutputDims>::getDim(expr.dimensions())) {} }; template<typename Op, typename Dims, typename ArgType, template <class> class MakePointer_, typename Device> struct FunctorExtractor<TensorEvaluator<TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>> : FunctorExtractor<TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>>{}; /// template deduction function for FunctorExtractor template <typename Evaluator> auto inline extractFunctors(const Evaluator& evaluator)-> FunctorExtractor<Evaluator> { return FunctorExtractor<Evaluator>(evaluator); } } // namespace internal } // namespace TensorSycl } // namespace Eigen #endif // UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXTRACT_FUNCTORS_HPP