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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/.
/*****************************************************************
* TensorSyclConvertToDeviceExpression.h
*
* \brief:
* Conversion from host pointer to device pointer
* inside leaf nodes of the expression.
*
*****************************************************************/
#ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSORYSYCL_TENSORSYCL_CONVERT_TO_DEVICE_EXPRESSION_HPP
#define UNSUPPORTED_EIGEN_CXX11_SRC_TENSORYSYCL_TENSORSYCL_CONVERT_TO_DEVICE_EXPRESSION_HPP
namespace Eigen {
namespace TensorSycl {
namespace internal {
/// \struct ConvertToDeviceExpression
/// \brief This struct is used to convert the MakePointer in the host expression
/// to the MakeGlobalPointer for the device expression. For the leafNodes
/// containing the pointer. This is due to the fact that the address space of
/// the pointer T* is different on the host and the device.
template <typename Expr>
struct ConvertToDeviceExpression;
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorMap
template <typename Scalar_, int Options_, int Options2_, int NumIndices_,
typename IndexType_, template <class> class MakePointer_>
struct ConvertToDeviceExpression<
TensorMap<Tensor<Scalar_, NumIndices_, Options_, IndexType_>, Options2_,
MakePointer_>> {
using Type = TensorMap<Tensor<Scalar_, NumIndices_, Options_, IndexType_>,
Options2_, MakeGlobalPointer>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorMap
template <typename Scalar_, int Options_, int Options2_, int NumIndices_,
typename IndexType_, template <class> class MakePointer_>
struct ConvertToDeviceExpression<
const TensorMap<Tensor<Scalar_, NumIndices_, Options_, IndexType_>,
Options2_, MakePointer_>> {
using Type =
const TensorMap<Tensor<Scalar_, NumIndices_, Options_, IndexType_>,
Options2_, MakeGlobalPointer>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorCwiseNullaryOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<const TensorCwiseNullaryOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = const TensorCwiseNullaryOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorCwiseNullaryOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<TensorCwiseNullaryOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = TensorCwiseNullaryOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorBroadcastingOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<const TensorBroadcastingOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = const TensorBroadcastingOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorBroadcastingOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<TensorBroadcastingOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = TensorBroadcastingOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorCwiseUnaryOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<const TensorCwiseUnaryOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = const TensorCwiseUnaryOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorCwiseUnaryOp
template <typename OP, typename RHSExpr>
struct ConvertToDeviceExpression<TensorCwiseUnaryOp<OP, RHSExpr>> {
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = TensorCwiseUnaryOp<OP, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorCwiseBinaryOp
template <typename OP, typename LHSExpr, typename RHSExpr>
struct ConvertToDeviceExpression<
const TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>> {
using LHSPlaceHolderType = typename ConvertToDeviceExpression<LHSExpr>::Type;
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type =
const TensorCwiseBinaryOp<OP, LHSPlaceHolderType, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorCwiseBinaryOp
template <typename OP, typename LHSExpr, typename RHSExpr>
struct ConvertToDeviceExpression<TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>> {
using LHSPlaceHolderType = typename ConvertToDeviceExpression<LHSExpr>::Type;
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = TensorCwiseBinaryOp<OP, LHSPlaceHolderType, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorCwiseTernaryOp
template <typename OP, typename Arg1Impl, typename Arg2Impl, typename Arg3Impl>
struct ConvertToDeviceExpression<
const TensorCwiseTernaryOp<OP, Arg1Impl, Arg2Impl, Arg3Impl>> {
using Arg1PlaceHolderType =
typename ConvertToDeviceExpression<Arg1Impl>::Type;
using Arg2PlaceHolderType =
typename ConvertToDeviceExpression<Arg2Impl>::Type;
using Arg3PlaceHolderType =
typename ConvertToDeviceExpression<Arg3Impl>::Type;
using Type =
const TensorCwiseTernaryOp<OP, Arg1PlaceHolderType, Arg2PlaceHolderType,
Arg3PlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorCwiseTernaryOp
template <typename OP, typename Arg1Impl, typename Arg2Impl, typename Arg3Impl>
struct ConvertToDeviceExpression<
TensorCwiseTernaryOp<OP, Arg1Impl, Arg2Impl, Arg3Impl>> {
using Arg1PlaceHolderType =
typename ConvertToDeviceExpression<Arg1Impl>::Type;
using Arg2PlaceHolderType =
typename ConvertToDeviceExpression<Arg2Impl>::Type;
using Arg3PlaceHolderType =
typename ConvertToDeviceExpression<Arg3Impl>::Type;
using Type = TensorCwiseTernaryOp<OP, Arg1PlaceHolderType,
Arg2PlaceHolderType, Arg3PlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorCwiseSelectOp
template <typename IfExpr, typename ThenExpr, typename ElseExpr>
struct ConvertToDeviceExpression<
const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>> {
using IfPlaceHolderType = typename ConvertToDeviceExpression<IfExpr>::Type;
using ThenPlaceHolderType =
typename ConvertToDeviceExpression<ThenExpr>::Type;
using ElsePlaceHolderType =
typename ConvertToDeviceExpression<ElseExpr>::Type;
using Type = const TensorSelectOp<IfPlaceHolderType, ThenPlaceHolderType,
ElsePlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorCwiseSelectOp
template <typename IfExpr, typename ThenExpr, typename ElseExpr>
struct ConvertToDeviceExpression<TensorSelectOp<IfExpr, ThenExpr, ElseExpr>> {
using IfPlaceHolderType = typename ConvertToDeviceExpression<IfExpr>::Type;
using ThenPlaceHolderType =
typename ConvertToDeviceExpression<ThenExpr>::Type;
using ElsePlaceHolderType =
typename ConvertToDeviceExpression<ElseExpr>::Type;
using Type = TensorSelectOp<IfPlaceHolderType, ThenPlaceHolderType,
ElsePlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const AssingOP
template <typename LHSExpr, typename RHSExpr>
struct ConvertToDeviceExpression<const TensorAssignOp<LHSExpr, RHSExpr>> {
using LHSPlaceHolderType = typename ConvertToDeviceExpression<LHSExpr>::Type;
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = const TensorAssignOp<LHSPlaceHolderType, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is AssingOP
template <typename LHSExpr, typename RHSExpr>
struct ConvertToDeviceExpression<TensorAssignOp<LHSExpr, RHSExpr>> {
using LHSPlaceHolderType = typename ConvertToDeviceExpression<LHSExpr>::Type;
using RHSPlaceHolderType = typename ConvertToDeviceExpression<RHSExpr>::Type;
using Type = TensorAssignOp<LHSPlaceHolderType, RHSPlaceHolderType>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorForcedEvalOp
template <typename Expr>
struct ConvertToDeviceExpression<const TensorForcedEvalOp<Expr>> {
using PlaceHolderType = typename ConvertToDeviceExpression<Expr>::Type;
using Type = const TensorForcedEvalOp<PlaceHolderType, MakeGlobalPointer>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorForcedEvalOp
template <typename Expr>
struct ConvertToDeviceExpression<TensorForcedEvalOp<Expr>> {
using PlaceHolderType = typename ConvertToDeviceExpression<Expr>::Type;
using Type = TensorForcedEvalOp<PlaceHolderType, MakeGlobalPointer>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is const TensorEvalToOp
template <typename Expr>
struct ConvertToDeviceExpression<const TensorEvalToOp<Expr>> {
using PlaceHolderType = typename ConvertToDeviceExpression<Expr>::Type;
using Type = const TensorEvalToOp<PlaceHolderType, MakeGlobalPointer>;
};
/// specialisation of the \ref ConvertToDeviceExpression struct when the node
/// type is TensorEvalToOp
template <typename Expr>
struct ConvertToDeviceExpression<TensorEvalToOp<Expr>> {
using PlaceHolderType = typename ConvertToDeviceExpression<Expr>::Type;
using Type = TensorEvalToOp<PlaceHolderType, MakeGlobalPointer>;
};
} // namespace internal
} // namespace TensorSycl
} // namespace Eigen
#endif // UNSUPPORTED_EIGEN_CXX1
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