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// 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;
EIGEN_STRONG_INLINE 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
/// TensorCwiseNullaryOp, TensorCwiseUnaryOp, and TensorBroadcastingOp
#define SYCLEXTRFUNCUNARY(CVQual)\
template <template <class, class> class UnaryCategory, typename OP, typename RHSExpr, typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual UnaryCategory<OP, RHSExpr>, Dev> > {\
FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr;\
OP func;\
FunctorExtractor(const TensorEvaluator<CVQual UnaryCategory<OP, RHSExpr>, Dev>& expr)\
: rhsExpr(expr.impl()), func(expr.functor()) {}\
};
SYCLEXTRFUNCUNARY(const)
SYCLEXTRFUNCUNARY()
#undef SYCLEXTRFUNCUNARY
/// specialisation of the \ref FunctorExtractor struct when the node type is
/// TensorCwiseBinaryOp
#define SYCLEXTRFUNCBIINARY(CVQual)\
template <template<class, class, class> class BinaryCategory, typename OP, typename LHSExpr, typename RHSExpr, typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual BinaryCategory<OP, LHSExpr, RHSExpr>, Dev> > {\
FunctorExtractor<TensorEvaluator<LHSExpr, Dev> > lhsExpr;\
FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr;\
OP func;\
FunctorExtractor(const TensorEvaluator<CVQual BinaryCategory<OP, LHSExpr, RHSExpr>, Dev>& expr)\
: lhsExpr(expr.left_impl()),rhsExpr(expr.right_impl()),func(expr.functor()) {}\
};
SYCLEXTRFUNCBIINARY(const)
SYCLEXTRFUNCBIINARY()
#undef SYCLEXTRFUNCBIINARY
/// specialisation of the \ref FunctorExtractor struct when the node type is TensorCwiseTernaryOp
#define SYCLEXTRFUNCTERNARY(CVQual)\
template <template <class, class, class, class> class TernaryCategory, typename OP, typename Arg1Expr, typename Arg2Expr, typename Arg3Expr,typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual 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<CVQual TernaryCategory<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>& expr)\
: arg1Expr(expr.arg1Impl()), arg2Expr(expr.arg2Impl()), arg3Expr(expr.arg3Impl()), func(expr.functor()) {}\
};
SYCLEXTRFUNCTERNARY(const)
SYCLEXTRFUNCTERNARY()
#undef SYCLEXTRFUNCTERNARY
/// specialisation of the \ref FunctorExtractor struct when the node type is
/// TensorCwiseSelectOp. This is an specialisation without OP so it has to be separated.
#define SYCLEXTRFUNCSELECTOP(CVQual)\
template <typename IfExpr, typename ThenExpr, typename ElseExpr, typename Dev>\
struct FunctorExtractor< TensorEvaluator<CVQual TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev> > {\
FunctorExtractor<TensorEvaluator<IfExpr, Dev> > ifExpr;\
FunctorExtractor<TensorEvaluator<ThenExpr, Dev> > thenExpr;\
FunctorExtractor<TensorEvaluator<ElseExpr, Dev> > elseExpr;\
FunctorExtractor(const TensorEvaluator<CVQual TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev>& expr)\
: ifExpr(expr.cond_impl()), thenExpr(expr.then_impl()), elseExpr(expr.else_impl()) {}\
};
SYCLEXTRFUNCSELECTOP(const)
SYCLEXTRFUNCSELECTOP()
#undef SYCLEXTRFUNCSELECTOP
/// 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.
#define SYCLEXTRFUNCASSIGNOP(CVQual)\
template <typename LHSExpr, typename RHSExpr, typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual TensorAssignOp<LHSExpr, RHSExpr>, Dev> > {\
FunctorExtractor<TensorEvaluator<LHSExpr, Dev> > lhsExpr;\
FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr;\
FunctorExtractor(const TensorEvaluator<CVQual TensorAssignOp<LHSExpr, RHSExpr>, Dev>& expr)\
: lhsExpr(expr.left_impl()), rhsExpr(expr.right_impl()) {}\
};
SYCLEXTRFUNCASSIGNOP(const)
SYCLEXTRFUNCASSIGNOP()
#undef SYCLEXTRFUNCASSIGNOP
/// specialisation of the \ref FunctorExtractor struct when the node type is
/// TensorEvalToOp, This is an specialisation without OP so it has to be separated.
#define SYCLEXTRFUNCEVALTOOP(CVQual)\
template <typename RHSExpr, typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual TensorEvalToOp<RHSExpr>, Dev> > {\
FunctorExtractor<TensorEvaluator<RHSExpr, Dev> > rhsExpr;\
FunctorExtractor(const TensorEvaluator<CVQual TensorEvalToOp<RHSExpr>, Dev>& expr)\
: rhsExpr(expr.impl()) {}\
};
SYCLEXTRFUNCEVALTOOP(const)
SYCLEXTRFUNCEVALTOOP()
#undef SYCLEXTRFUNCEVALTOOP
template<typename Dim, size_t NumOutputDim> struct DimConstr {
template<typename InDim>
static EIGEN_STRONG_INLINE Dim getDim(InDim dims ) {return dims;}
};
template<typename Dim> struct DimConstr<Dim, 0> {
template<typename InDim>
static EIGEN_STRONG_INLINE Dim getDim(InDim dims ) {return Dim(static_cast<Dim>(dims.TotalSize()));}
};
#define SYCLEXTRFUNCREDUCTIONOP(CVQual)\
template<typename Op, typename Dims, typename ArgType, template <class> class MakePointer_, typename Device>\
struct FunctorExtractor<TensorEvaluator<CVQual TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>>{\
typedef TensorEvaluator<CVQual 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;\
EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }\
FunctorExtractor(const TensorEvaluator<CVQual TensorReductionOp<Op, Dims, ArgType, MakePointer_>, Device>& expr)\
: m_dimensions(DimConstr<Dimensions, Evaluator::NumOutputDims>::getDim(expr.dimensions())) {}\
};
SYCLEXTRFUNCREDUCTIONOP(const)
SYCLEXTRFUNCREDUCTIONOP()
#undef SYCLEXTRFUNCREDUCTIONOP
/// specialisation of the \ref FunctorExtractor struct when the node type is
/// const TensorSlicingOp. This is an specialisation without OP so it has to be separated.
#define SYCLEXTRFUNCTSLICEOP(CVQual)\
template <typename StartIndices, typename Sizes, typename XprType, typename Dev>\
struct FunctorExtractor<TensorEvaluator<CVQual TensorSlicingOp<StartIndices, Sizes, XprType>, Dev> > {\
FunctorExtractor<TensorEvaluator<XprType, Dev> > xprExpr;\
const StartIndices m_offsets;\
const Sizes m_dimensions;\
FunctorExtractor(const TensorEvaluator<CVQual TensorSlicingOp<StartIndices, Sizes, XprType>, Dev>& expr)\
: xprExpr(expr.impl()), m_offsets(expr.startIndices()), m_dimensions(expr.dimensions()) {}\
EIGEN_STRONG_INLINE const StartIndices& startIndices() const {return m_offsets;}\
EIGEN_STRONG_INLINE const Sizes& dimensions() const {return m_dimensions;}\
};
SYCLEXTRFUNCTSLICEOP(const)
SYCLEXTRFUNCTSLICEOP()
#undef SYCLEXTRFUNCTSLICEOP
// Had to separate reshapeOP otherwise it will be mistaken by UnaryCategory
#define SYCLRESHAPEANDSHUFFLEOPFUNCEXT(OPEXPR, FUNCCALL, CVQual)\
template<typename Param, typename XprType, typename Dev>\
struct FunctorExtractor<Eigen::TensorEvaluator<CVQual Eigen::OPEXPR<Param, XprType>, Dev> > {\
FunctorExtractor<Eigen::TensorEvaluator<XprType, Dev> > xprExpr;\
const Param m_param;\
EIGEN_STRONG_INLINE const Param& param() const { return m_param; }\
FunctorExtractor(const Eigen::TensorEvaluator<CVQual Eigen::OPEXPR<Param, XprType>, Dev>& expr)\
: xprExpr(expr.impl()), m_param(expr.FUNCCALL) {}\
};
SYCLRESHAPEANDSHUFFLEOPFUNCEXT(TensorReshapingOp, dimensions(), const)
SYCLRESHAPEANDSHUFFLEOPFUNCEXT(TensorReshapingOp, dimensions(), )
SYCLRESHAPEANDSHUFFLEOPFUNCEXT(TensorShufflingOp, shufflePermutation(), const)
SYCLRESHAPEANDSHUFFLEOPFUNCEXT(TensorShufflingOp, shufflePermutation(), )
#undef SYCLRESHAPEOPEXPR
/// 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
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