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Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorSyclExprConstructor.h')
-rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorSyclExprConstructor.h | 514 |
1 files changed, 0 insertions, 514 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorSyclExprConstructor.h b/unsupported/Eigen/CXX11/src/Tensor/TensorSyclExprConstructor.h deleted file mode 100644 index 67003daf5..000000000 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorSyclExprConstructor.h +++ /dev/null @@ -1,514 +0,0 @@ -// 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/. - -/***************************************************************** - * TensorSyclExprConstructor.h - * - * \brief: - * This file re-create an expression on the SYCL device in order - * to use the original tensor evaluator. - * -*****************************************************************/ - -#ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXPR_CONSTRUCTOR_HPP -#define UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXPR_CONSTRUCTOR_HPP - -namespace Eigen { -namespace TensorSycl { -namespace internal { - -template <typename Expr, typename Dims> -struct DeviceFixedSizeTensor; - -template <typename Expr, typename std::ptrdiff_t... Indices> -struct DeviceFixedSizeTensor<Expr, Eigen::Sizes<Indices...>>{ - template<typename Data> - static EIGEN_ALWAYS_INLINE Expr instantiate(Data& dt) {return Expr(ConvertToActualTypeSycl(typename Expr::Scalar, dt), Indices...);} -}; -/// this class is used by EvalToOp in order to create an lhs expression which is -/// a pointer from an accessor on device-only buffer -template <typename PtrType, size_t N, typename... Params> -struct EvalToLHSConstructor { - PtrType expr; - EvalToLHSConstructor(const utility::tuple::Tuple<Params...> &t) : expr(ConvertToActualTypeSycl(typename Eigen::internal::remove_all<PtrType>::type, utility::tuple::get<N>(t))) {} -}; - -/// struct ExprConstructor is used to reconstruct the expression on the device and -/// recreate the expression with MakeGlobalPointer containing the device address -/// space for the TensorMap pointers used in eval function. -/// It receives the original expression type, the functor of the node, the tuple -/// of accessors, and the device expression type to re-instantiate the -/// expression tree for the device -template <typename OrigExpr, typename IndexExpr, typename... Params> -struct ExprConstructor; - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorMap -#define TENSORMAP(CVQual)\ -template <typename T, int Options_,\ -template <class> class MakePointer_, size_t N, typename... Params>\ -struct ExprConstructor< CVQual TensorMap<T, Options_, MakeGlobalPointer>,\ -CVQual PlaceHolder<CVQual TensorMap<T, Options_, MakePointer_>, N>, Params...>{\ - typedef CVQual TensorMap<T, Options_, MakeGlobalPointer> Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - : expr(Type(ConvertToActualTypeSycl(typename Type::Scalar, utility::tuple::get<N>(t)), fd.dimensions())){}\ -}; - -TENSORMAP(const) -TENSORMAP() -#undef TENSORMAP - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorMap -#define TENSORMAPFIXEDSIZE(CVQual)\ -template <typename Scalar_, typename Dimensions_, int Options_2, typename IndexType, int Options_,\ -template <class> class MakePointer_, size_t N, typename... Params>\ -struct ExprConstructor< CVQual TensorMap<TensorFixedSize<Scalar_, Dimensions_, Options_2, IndexType>, Options_, MakeGlobalPointer>,\ -CVQual PlaceHolder<CVQual TensorMap<TensorFixedSize<Scalar_, Dimensions_, Options_2, IndexType>, Options_, MakePointer_>, N>, Params...>{\ - typedef CVQual TensorMap<TensorFixedSize<Scalar_, Dimensions_, Options_2, IndexType>, Options_, MakeGlobalPointer> Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &, const utility::tuple::Tuple<Params...> &t)\ - : expr(DeviceFixedSizeTensor<Type,Dimensions_>::instantiate(utility::tuple::get<N>(t))){}\ -}; - -TENSORMAPFIXEDSIZE(const) -TENSORMAPFIXEDSIZE() -#undef TENSORMAPFIXEDSIZE - -#define UNARYCATEGORY(CVQual)\ -template <template<class, class> class UnaryCategory, typename OP, typename OrigRHSExpr, typename RHSExpr, typename... Params>\ -struct ExprConstructor<CVQual UnaryCategory<OP, OrigRHSExpr>, CVQual UnaryCategory<OP, RHSExpr>, Params...> {\ - typedef ExprConstructor<OrigRHSExpr, RHSExpr, Params...> my_type;\ - my_type rhsExpr;\ - typedef CVQual UnaryCategory<OP, typename my_type::Type> Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : rhsExpr(funcD.rhsExpr, t), expr(rhsExpr.expr, funcD.func) {}\ -}; - -UNARYCATEGORY(const) -UNARYCATEGORY() -#undef UNARYCATEGORY - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorBinaryOp -#define BINARYCATEGORY(CVQual)\ -template <template<class, class, class> class BinaryCategory, typename OP, typename OrigLHSExpr, typename OrigRHSExpr, typename LHSExpr,\ -typename RHSExpr, typename... Params>\ -struct ExprConstructor<CVQual BinaryCategory<OP, OrigLHSExpr, OrigRHSExpr>, CVQual BinaryCategory<OP, LHSExpr, RHSExpr>, Params...> {\ - typedef ExprConstructor<OrigLHSExpr, LHSExpr, Params...> my_left_type;\ - typedef ExprConstructor<OrigRHSExpr, RHSExpr, Params...> my_right_type;\ - typedef CVQual BinaryCategory<OP, typename my_left_type::Type, typename my_right_type::Type> Type;\ - my_left_type lhsExpr;\ - my_right_type rhsExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : lhsExpr(funcD.lhsExpr, t),rhsExpr(funcD.rhsExpr, t), expr(lhsExpr.expr, rhsExpr.expr, funcD.func) {}\ -}; - -BINARYCATEGORY(const) -BINARYCATEGORY() -#undef BINARYCATEGORY - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorCwiseTernaryOp -#define TERNARYCATEGORY(CVQual)\ -template <template <class, class, class, class> class TernaryCategory, typename OP, typename OrigArg1Expr, typename OrigArg2Expr,typename OrigArg3Expr,\ -typename Arg1Expr, typename Arg2Expr, typename Arg3Expr, typename... Params>\ -struct ExprConstructor<CVQual TernaryCategory<OP, OrigArg1Expr, OrigArg2Expr, OrigArg3Expr>, CVQual TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Params...> {\ - typedef ExprConstructor<OrigArg1Expr, Arg1Expr, Params...> my_arg1_type;\ - typedef ExprConstructor<OrigArg2Expr, Arg2Expr, Params...> my_arg2_type;\ - typedef ExprConstructor<OrigArg3Expr, Arg3Expr, Params...> my_arg3_type;\ - typedef CVQual TernaryCategory<OP, typename my_arg1_type::Type, typename my_arg2_type::Type, typename my_arg3_type::Type> Type;\ - my_arg1_type arg1Expr;\ - my_arg2_type arg2Expr;\ - my_arg3_type arg3Expr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD,const utility::tuple::Tuple<Params...> &t)\ - : arg1Expr(funcD.arg1Expr, t), arg2Expr(funcD.arg2Expr, t), arg3Expr(funcD.arg3Expr, t), expr(arg1Expr.expr, arg2Expr.expr, arg3Expr.expr, funcD.func) {}\ -}; - -TERNARYCATEGORY(const) -TERNARYCATEGORY() -#undef TERNARYCATEGORY - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorCwiseSelectOp -#define SELECTOP(CVQual)\ -template <typename OrigIfExpr, typename OrigThenExpr, typename OrigElseExpr, typename IfExpr, typename ThenExpr, typename ElseExpr, typename... Params>\ -struct ExprConstructor< CVQual TensorSelectOp<OrigIfExpr, OrigThenExpr, OrigElseExpr>, CVQual TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Params...> {\ - typedef ExprConstructor<OrigIfExpr, IfExpr, Params...> my_if_type;\ - typedef ExprConstructor<OrigThenExpr, ThenExpr, Params...> my_then_type;\ - typedef ExprConstructor<OrigElseExpr, ElseExpr, Params...> my_else_type;\ - typedef CVQual TensorSelectOp<typename my_if_type::Type, typename my_then_type::Type, typename my_else_type::Type> Type;\ - my_if_type ifExpr;\ - my_then_type thenExpr;\ - my_else_type elseExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : ifExpr(funcD.ifExpr, t), thenExpr(funcD.thenExpr, t), elseExpr(funcD.elseExpr, t), expr(ifExpr.expr, thenExpr.expr, elseExpr.expr) {}\ -}; - -SELECTOP(const) -SELECTOP() -#undef SELECTOP - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// const TensorAssignOp -#define ASSIGN(CVQual)\ -template <typename OrigLHSExpr, typename OrigRHSExpr, typename LHSExpr, typename RHSExpr, typename... Params>\ -struct ExprConstructor<CVQual TensorAssignOp<OrigLHSExpr, OrigRHSExpr>, CVQual TensorAssignOp<LHSExpr, RHSExpr>, Params...> {\ - typedef ExprConstructor<OrigLHSExpr, LHSExpr, Params...> my_left_type;\ - typedef ExprConstructor<OrigRHSExpr, RHSExpr, Params...> my_right_type;\ - typedef CVQual TensorAssignOp<typename my_left_type::Type, typename my_right_type::Type> Type;\ - my_left_type lhsExpr;\ - my_right_type rhsExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : lhsExpr(funcD.lhsExpr, t), rhsExpr(funcD.rhsExpr, t), expr(lhsExpr.expr, rhsExpr.expr) {}\ - }; - - ASSIGN(const) - ASSIGN() - #undef ASSIGN - - /// specialisation of the \ref ExprConstructor struct when the node type is - /// const TensorAssignOp - #define CONVERSIONEXPRCONST(CVQual)\ - template <typename OrigNestedExpr, typename ConvertType, typename NestedExpr, typename... Params>\ - struct ExprConstructor<CVQual TensorConversionOp<ConvertType, OrigNestedExpr>, CVQual TensorConversionOp<ConvertType, NestedExpr>, Params...> {\ - typedef ExprConstructor<OrigNestedExpr, NestedExpr, Params...> my_nested_type;\ - typedef CVQual TensorConversionOp<ConvertType, typename my_nested_type::Type> Type;\ - my_nested_type nestedExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : nestedExpr(funcD.subExpr, t), expr(nestedExpr.expr) {}\ - }; - - CONVERSIONEXPRCONST(const) - CONVERSIONEXPRCONST() - #undef CONVERSIONEXPRCONST - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorEvalToOp /// 0 here is the output number in the buffer -#define EVALTO(CVQual)\ -template <typename OrigExpr, typename Expr, typename... Params>\ -struct ExprConstructor<CVQual TensorEvalToOp<OrigExpr, MakeGlobalPointer>, CVQual TensorEvalToOp<Expr>, Params...> {\ - typedef ExprConstructor<OrigExpr, Expr, Params...> my_expr_type;\ - typedef typename TensorEvalToOp<OrigExpr, MakeGlobalPointer>::PointerType my_buffer_type;\ - typedef CVQual TensorEvalToOp<typename my_expr_type::Type, MakeGlobalPointer> Type;\ - my_expr_type nestedExpression;\ - EvalToLHSConstructor<my_buffer_type, 0, Params...> buffer;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : nestedExpression(funcD.xprExpr, t), buffer(t), expr(buffer.expr, nestedExpression.expr) {}\ -}; - -EVALTO(const) -EVALTO() -#undef EVALTO - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorForcedEvalOp -#define FORCEDEVAL(CVQual)\ -template <typename OrigExpr, typename DevExpr, size_t N, typename... Params>\ -struct ExprConstructor<CVQual TensorForcedEvalOp<OrigExpr>,\ -CVQual PlaceHolder<CVQual TensorForcedEvalOp<DevExpr>, N>, Params...> {\ - typedef TensorForcedEvalOp<OrigExpr> XprType;\ - typedef CVQual TensorMap<\ - Tensor<typename XprType::Scalar,XprType::NumDimensions, Eigen::internal::traits<XprType>::Layout,typename XprType::Index>,\ - Eigen::internal::traits<XprType>::Layout, \ - MakeGlobalPointer\ - > Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - : expr(Type(ConvertToActualTypeSycl(typename Type::Scalar, utility::tuple::get<N>(t)), fd.dimensions())) {}\ -}; - -FORCEDEVAL(const) -FORCEDEVAL() -#undef FORCEDEVAL - -#define TENSORCUSTOMUNARYOP(CVQual)\ -template <typename CustomUnaryFunc, typename OrigExpr, typename DevExpr, size_t N, typename... Params>\ -struct ExprConstructor<CVQual TensorCustomUnaryOp<CustomUnaryFunc, OrigExpr>,\ -CVQual PlaceHolder<CVQual TensorCustomUnaryOp<CustomUnaryFunc, DevExpr>, N>, Params...> {\ - typedef TensorCustomUnaryOp<CustomUnaryFunc, OrigExpr> XprType;\ - typedef CVQual TensorMap<\ - Tensor<typename XprType::Scalar,XprType::NumDimensions, Eigen::internal::traits<XprType>::Layout,typename XprType::Index>,\ - Eigen::internal::traits<XprType>::Layout, \ - MakeGlobalPointer\ - > Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - : expr(Type(ConvertToActualTypeSycl(typename Type::Scalar, utility::tuple::get<N>(t)), fd.dimensions())) {}\ -}; - -TENSORCUSTOMUNARYOP(const) -TENSORCUSTOMUNARYOP() -#undef TENSORCUSTOMUNARYOP - -/// specialisation of the \ref ExprConstructor struct when the node type is TensorReductionOp -#define SYCLREDUCTIONEXPR(CVQual)\ -template <typename OP, typename Dim, typename OrigExpr, typename DevExpr, size_t N, typename... Params>\ -struct ExprConstructor<CVQual TensorReductionOp<OP, Dim, OrigExpr, MakeGlobalPointer>,\ -CVQual PlaceHolder<CVQual TensorReductionOp<OP, Dim, DevExpr>, N>, Params...> {\ - static const auto NumIndices= ValueCondition< TensorReductionOp<OP, Dim, DevExpr, MakeGlobalPointer>::NumDimensions==0, 1, TensorReductionOp<OP, Dim, DevExpr, MakeGlobalPointer>::NumDimensions >::Res;\ - typedef CVQual TensorMap<Tensor<typename TensorReductionOp<OP, Dim, DevExpr, MakeGlobalPointer>::Scalar,\ - NumIndices, Eigen::internal::traits<TensorReductionOp<OP, Dim, DevExpr, MakeGlobalPointer>>::Layout, typename TensorReductionOp<OP, Dim, DevExpr>::Index>, Eigen::internal::traits<TensorReductionOp<OP, Dim, DevExpr, MakeGlobalPointer>>::Layout, MakeGlobalPointer> Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - :expr(Type(ConvertToActualTypeSycl(typename Type::Scalar, utility::tuple::get<N>(t)), fd.dimensions())) {}\ -}; - -SYCLREDUCTIONEXPR(const) -SYCLREDUCTIONEXPR() -#undef SYCLREDUCTIONEXPR - -/// specialisation of the \ref ExprConstructor struct when the node type is TensorTupleReducerOp -/// use reductionOp instead of the TensorTupleReducerOp in order to build the tensor map. Because the tensorMap is the output of Tensor ReductionOP. -#define SYCLTUPLEREDUCTIONEXPR(CVQual)\ -template <typename OP, typename Dim, typename OrigExpr, typename DevExpr, size_t N, typename... Params>\ -struct ExprConstructor<CVQual TensorTupleReducerOp<OP, Dim, OrigExpr>,\ -CVQual PlaceHolder<CVQual TensorTupleReducerOp<OP, Dim, DevExpr>, N>, Params...> {\ - static const auto NumRedDims= TensorReductionOp<OP, Dim, const TensorIndexTupleOp<OrigExpr> , MakeGlobalPointer>::NumDimensions;\ - static const auto NumIndices= ValueCondition<NumRedDims==0, 1, NumRedDims>::Res;\ -static const int Layout =static_cast<int>(Eigen::internal::traits<TensorReductionOp<OP, Dim, const TensorIndexTupleOp<OrigExpr>, MakeGlobalPointer>>::Layout);\ - typedef CVQual TensorMap<\ - Tensor<typename TensorIndexTupleOp<OrigExpr>::CoeffReturnType,NumIndices, Layout, typename TensorTupleReducerOp<OP, Dim, OrigExpr>::Index>,\ - Layout,\ - MakeGlobalPointer\ - > XprType;\ - typedef typename TensorEvaluator<const TensorIndexTupleOp<OrigExpr> , SyclKernelDevice>::Dimensions InputDimensions;\ - static const int NumDims = Eigen::internal::array_size<InputDimensions>::value;\ - typedef array<Index, NumDims> StrideDims;\ - typedef const TensorTupleReducerDeviceOp<StrideDims, XprType> Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - :expr(Type(XprType(ConvertToActualTypeSycl(typename XprType::CoeffReturnType, utility::tuple::get<N>(t)), fd.dimensions()),\ - fd.return_dim(), fd.strides(), fd.stride_mod(), fd.stride_div())) {\ - }\ -}; - -SYCLTUPLEREDUCTIONEXPR(const) -SYCLTUPLEREDUCTIONEXPR() -#undef SYCLTUPLEREDUCTIONEXPR - -/// specialisation of the \ref ExprConstructor struct when the node type is -/// TensorContractionOp, TensorConvolutionOp TensorCustomBinaryOp -#define SYCLCONTRACTCONVCUSBIOPS(CVQual, ExprNode)\ -template <typename Indices, typename OrigLhsXprType, typename OrigRhsXprType, typename LhsXprType, typename RhsXprType, size_t N, typename... Params>\ -struct ExprConstructor<CVQual ExprNode<Indices, OrigLhsXprType, OrigRhsXprType>,\ -CVQual PlaceHolder<CVQual ExprNode<Indices, LhsXprType, RhsXprType>, N>, Params...> {\ - typedef ExprNode<Indices, OrigLhsXprType, OrigRhsXprType> XprTyp;\ - static const auto NumIndices= Eigen::internal::traits<XprTyp>::NumDimensions;\ - typedef CVQual TensorMap<\ - Tensor<typename XprTyp::Scalar,NumIndices, Eigen::internal::traits<XprTyp>::Layout, typename XprTyp::Index>,\ - Eigen::internal::traits<XprTyp>::Layout, \ - MakeGlobalPointer\ - > Type;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &fd, const utility::tuple::Tuple<Params...> &t)\ - :expr(Type(ConvertToActualTypeSycl(typename Type::Scalar, utility::tuple::get<N>(t)), fd.dimensions())) {}\ -}; - -//TensorContractionOp -SYCLCONTRACTCONVCUSBIOPS(const, TensorContractionOp) -SYCLCONTRACTCONVCUSBIOPS(, TensorContractionOp) -//TensorConvolutionOp -SYCLCONTRACTCONVCUSBIOPS(const, TensorConvolutionOp) -SYCLCONTRACTCONVCUSBIOPS(, TensorConvolutionOp) -//TensorCustomBinaryOp -SYCLCONTRACTCONVCUSBIOPS(const, TensorCustomBinaryOp) -SYCLCONTRACTCONVCUSBIOPS(, TensorCustomBinaryOp) -#undef SYCLCONTRACTCONVCUSBIOPS - -//TensorSlicingOp -#define SYCLSLICEOPEXPR(CVQual)\ -template<typename StartIndices, typename Sizes, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual TensorSlicingOp <StartIndices, Sizes, OrigXprType> , CVQual TensorSlicingOp<StartIndices, Sizes, XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual TensorSlicingOp<StartIndices, Sizes, typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.startIndices(), funcD.dimensions()) {}\ -}; - -SYCLSLICEOPEXPR(const) -SYCLSLICEOPEXPR() -#undef SYCLSLICEOPEXPR - -//TensorStridingSlicingOp -#define SYCLSLICESTRIDEOPEXPR(CVQual)\ -template<typename StartIndices, typename StopIndices, typename Strides, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual TensorStridingSlicingOp<StartIndices, StopIndices, Strides, OrigXprType>, CVQual TensorStridingSlicingOp<StartIndices, StopIndices, Strides, XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual TensorStridingSlicingOp<StartIndices, StopIndices, Strides, typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.startIndices(), funcD.stopIndices(),funcD.strides()) {}\ -}; - -SYCLSLICESTRIDEOPEXPR(const) -SYCLSLICESTRIDEOPEXPR() -#undef SYCLSLICESTRIDEOPEXPR - -//TensorReshapingOp and TensorShufflingOp -#define SYCLRESHAPEANDSHUFFLEOPEXPRCONST(OPEXPR, CVQual)\ -template<typename Param, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual OPEXPR <Param, OrigXprType> , CVQual OPEXPR <Param, XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual OPEXPR <Param, typename my_xpr_type::Type> Type ;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.param()) {}\ -}; - -// TensorReshapingOp -SYCLRESHAPEANDSHUFFLEOPEXPRCONST(TensorReshapingOp, const) -SYCLRESHAPEANDSHUFFLEOPEXPRCONST(TensorReshapingOp, ) -// TensorShufflingOp -SYCLRESHAPEANDSHUFFLEOPEXPRCONST(TensorShufflingOp, const) -SYCLRESHAPEANDSHUFFLEOPEXPRCONST(TensorShufflingOp, ) -#undef SYCLRESHAPEANDSHUFFLEOPEXPRCONST - -//TensorPaddingOp -#define SYCLPADDINGOPEXPRCONST(OPEXPR, CVQual)\ -template<typename Param, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual OPEXPR <Param, OrigXprType> , CVQual OPEXPR <Param, XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual OPEXPR <Param, typename my_xpr_type::Type> Type ;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.param() , funcD.scalar_param()) {}\ -}; - -//TensorPaddingOp -SYCLPADDINGOPEXPRCONST(TensorPaddingOp, const) -SYCLPADDINGOPEXPRCONST(TensorPaddingOp, ) -#undef SYCLPADDINGOPEXPRCONST - -// TensorChippingOp -#define SYCLTENSORCHIPPINGOPEXPR(CVQual)\ -template<DenseIndex DimId, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual TensorChippingOp <DimId, OrigXprType> , CVQual TensorChippingOp<DimId, XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual TensorChippingOp<DimId, typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.offset(), funcD.dimId()) {}\ -}; - -SYCLTENSORCHIPPINGOPEXPR(const) -SYCLTENSORCHIPPINGOPEXPR() -#undef SYCLTENSORCHIPPINGOPEXPR - -// TensorImagePatchOp -#define SYCLTENSORIMAGEPATCHOPEXPR(CVQual)\ -template<DenseIndex Rows, DenseIndex Cols, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual TensorImagePatchOp<Rows, Cols, OrigXprType>, CVQual TensorImagePatchOp<Rows, Cols, XprType>, Params... > {\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual TensorImagePatchOp<Rows, Cols, typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.m_patch_rows, funcD.m_patch_cols, funcD.m_row_strides, funcD.m_col_strides,\ - funcD.m_in_row_strides, funcD.m_in_col_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, funcD.m_padding_explicit, \ - funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, funcD.m_padding_type, funcD.m_padding_value){}\ -}; - -SYCLTENSORIMAGEPATCHOPEXPR(const) -SYCLTENSORIMAGEPATCHOPEXPR() -#undef SYCLTENSORIMAGEPATCHOPEXPR - -// TensorVolumePatchOp -#define SYCLTENSORVOLUMEPATCHOPEXPR(CVQual)\ -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual TensorVolumePatchOp<Planes, Rows, Cols, OrigXprType>, CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Params... > {\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual TensorVolumePatchOp<Planes, Rows, Cols, typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.m_patch_planes, funcD.m_patch_rows, funcD.m_patch_cols, funcD.m_plane_strides, funcD.m_row_strides, funcD.m_col_strides,\ - funcD.m_in_plane_strides, funcD.m_in_row_strides, funcD.m_in_col_strides,funcD.m_plane_inflate_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, \ - funcD.m_padding_explicit, funcD.m_padding_top_z, funcD.m_padding_bottom_z, funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, \ - funcD.m_padding_type, funcD.m_padding_value ){\ - }\ -}; - -SYCLTENSORVOLUMEPATCHOPEXPR(const) -SYCLTENSORVOLUMEPATCHOPEXPR() -#undef SYCLTENSORVOLUMEPATCHOPEXPR - -// TensorLayoutSwapOp and TensorIndexTupleOp -#define SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR(CVQual, ExprNode)\ -template<typename OrigXprType, typename XprType, typename... Params>\ -struct ExprConstructor<CVQual ExprNode <OrigXprType> , CVQual ExprNode<XprType>, Params... >{\ - typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\ - typedef CVQual ExprNode<typename my_xpr_type::Type> Type;\ - my_xpr_type xprExpr;\ - Type expr;\ - template <typename FuncDetector>\ - ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\ - : xprExpr(funcD.xprExpr, t), expr(xprExpr.expr) {}\ -}; - -//TensorLayoutSwapOp -SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR(const, TensorLayoutSwapOp) -SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR(, TensorLayoutSwapOp) -//TensorIndexTupleOp -SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR(const, TensorIndexTupleOp) -SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR(, TensorIndexTupleOp) - -#undef SYCLTENSORLAYOUTSWAPINDEXTUPLEOPEXPR - -/// template deduction for \ref ExprConstructor struct -template <typename OrigExpr, typename IndexExpr, typename FuncD, typename... Params> -auto createDeviceExpression(FuncD &funcD, const utility::tuple::Tuple<Params...> &t) - -> decltype(ExprConstructor<OrigExpr, IndexExpr, Params...>(funcD, t)) { - return ExprConstructor<OrigExpr, IndexExpr, Params...>(funcD, t); -} - -} /// namespace TensorSycl -} /// namespace internal -} /// namespace Eigen - - -#endif // UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_EXPR_CONSTRUCTOR_HPP |