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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/.
/*****************************************************************
* TensorSyclExtractAccessor.h
*
* \brief:
* ExtractAccessor takes Expression placeHolder expression and the tuple of sycl
* buffers as an input. Using pre-order tree traversal, ExtractAccessor
* recursively calls itself for its children in the expression tree. The
* leaf node in the PlaceHolder expression is nothing but a container preserving
* the order of the actual data in the tuple of sycl buffer. By invoking the
* extract accessor for the PlaceHolder<N>, an accessor is created for the Nth
* buffer in the tuple of buffers. This accessor is then added as an Nth
* element in the tuple of accessors. In this case we preserve the order of data
* in the expression tree.
*
* This is the specialisation of extract accessor method for different operation
* type in the PlaceHolder expression.
*
*****************************************************************/
#ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSORYSYCL_EXTRACT_ACCESSOR_HPP
#define UNSUPPORTED_EIGEN_CXX11_SRC_TENSORYSYCL_EXTRACT_ACCESSOR_HPP
namespace Eigen {
namespace TensorSycl {
namespace internal {
/// \struct ExtractAccessor: Extract Accessor Class is used to extract the
/// accessor from a buffer.
/// Depending on the type of the leaf node we can get a read accessor or a
/// read_write accessor
template <typename Evaluator>
struct ExtractAccessor;
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorMap
template <typename PlainObjectType, int Options_, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorMap<PlainObjectType, Options_>, Dev>> {
using actual_type = typename Eigen::internal::remove_all<
typename Eigen::internal::traits<PlainObjectType>::Scalar>::type;
static inline auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorMap<PlainObjectType, Options_>, Dev>
eval)
-> decltype(utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read, true,
actual_type>(
eval.dimensions().TotalSize(), cgh,
eval.derived().data())))) {
return utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read, true,
actual_type>(
eval.dimensions().TotalSize(), cgh, eval.derived().data())));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorMap
template <typename PlainObjectType, int Options_, typename Dev>
struct ExtractAccessor<
TensorEvaluator<TensorMap<PlainObjectType, Options_>, Dev>> {
using actual_type = typename Eigen::internal::remove_all<
typename Eigen::internal::traits<PlainObjectType>::Scalar>::type;
static inline auto getTuple(
cl::sycl::handler& cgh,
TensorEvaluator<TensorMap<PlainObjectType, Options_>, Dev> eval)
-> decltype(utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read_write,
true, actual_type>(
eval.dimensions().TotalSize(), cgh,
eval.derived().data())))) {
return utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read_write,
true, actual_type>(
eval.dimensions().TotalSize(), cgh, eval.derived().data())));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorCwiseNullaryOp
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorCwiseNullaryOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorCwiseNullaryOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorCwiseNullaryOp
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<TensorCwiseNullaryOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorCwiseNullaryOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorBroadcastingOp
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorBroadcastingOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorBroadcastingOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorBroadcastingOp
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<TensorBroadcastingOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorBroadcastingOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TenosorCwiseUnary
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorCwiseUnaryOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorCwiseUnaryOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TenosorCwiseUnary
template <typename OP, typename RHSExpr, typename Dev>
struct ExtractAccessor<TensorEvaluator<TensorCwiseUnaryOp<OP, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorCwiseUnaryOp<OP, RHSExpr>, Dev> eval)
-> decltype(ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl())) {
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.impl());
return RHSTuple;
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorCwiseBinaryOp
template <typename OP, typename LHSExpr, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>, Dev>> {
static auto getTuple(cl::sycl::handler& cgh,
const TensorEvaluator<
const TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>, Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl()),
ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl()))) {
auto LHSTuple = ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl());
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl());
return utility::tuple::append(LHSTuple, RHSTuple);
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorCwiseBinaryOp
template <typename OP, typename LHSExpr, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorCwiseBinaryOp<OP, LHSExpr, RHSExpr>, Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl()),
ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl()))) {
auto LHSTuple = ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl());
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl());
return utility::tuple::append(LHSTuple, RHSTuple);
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorCwiseTernaryOp
template <typename OP, typename Arg1Expr, typename Arg2Expr, typename Arg3Expr,
typename Dev>
struct ExtractAccessor<TensorEvaluator<
const TensorCwiseTernaryOp<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<
const TensorCwiseTernaryOp<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<Arg1Expr, Dev>>::getTuple(
cgh, eval.arg1Impl()),
utility::tuple::append(
ExtractAccessor<TensorEvaluator<Arg2Expr, Dev>>::getTuple(
cgh, eval.arg2Impl()),
ExtractAccessor<TensorEvaluator<Arg3Expr, Dev>>::getTuple(
cgh, eval.arg3Impl())))) {
auto Arg1Tuple = ExtractAccessor<TensorEvaluator<Arg1Expr, Dev>>::getTuple(
cgh, eval.arg1Impl());
auto Arg2Tuple = ExtractAccessor<TensorEvaluator<Arg2Expr, Dev>>::getTuple(
cgh, eval.arg2Impl());
auto Arg3Tuple = ExtractAccessor<TensorEvaluator<Arg3Expr, Dev>>::getTuple(
cgh, eval.arg3Impl());
return utility::tuple::append(Arg1Tuple,
utility::tuple::append(Arg2Tuple, Arg3Tuple));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorCwiseTernaryOp
template <typename OP, typename Arg1Expr, typename Arg2Expr, typename Arg3Expr,
typename Dev>
struct ExtractAccessor<TensorEvaluator<
TensorCwiseTernaryOp<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<
TensorCwiseTernaryOp<OP, Arg1Expr, Arg2Expr, Arg3Expr>, Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<Arg1Expr, Dev>>::getTuple(
cgh, eval.arg1Impl()),
utility::tuple::append(
ExtractAccessor<TensorEvaluator<Arg2Expr, Dev>>::getTuple(
cgh, eval.arg2Impl()),
ExtractAccessor<TensorEvaluator<Arg3Expr, Dev>>::getTuple(
cgh, eval.arg3Impl())))) {
auto Arg1Tuple = ExtractAccessor<TensorEvaluator<Arg1Expr, Dev>>::getTuple(
cgh, eval.arg1Impl());
auto Arg2Tuple = ExtractAccessor<TensorEvaluator<Arg2Expr, Dev>>::getTuple(
cgh, eval.arg2Impl());
auto Arg3Tuple = ExtractAccessor<TensorEvaluator<Arg3Expr, Dev>>::getTuple(
cgh, eval.arg3Impl());
return utility::tuple::append(Arg1Tuple,
utility::tuple::append(Arg2Tuple, Arg3Tuple));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorCwiseSelectOp
template <typename IfExpr, typename ThenExpr, typename ElseExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorSelectOp<IfExpr, ThenExpr, ElseExpr>,
Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<IfExpr, Dev>>::getTuple(
cgh, eval.cond_impl()),
utility::tuple::append(
ExtractAccessor<TensorEvaluator<ThenExpr, Dev>>::getTuple(
cgh, eval.then_impl()),
ExtractAccessor<TensorEvaluator<ElseExpr, Dev>>::getTuple(
cgh, eval.else_impl())))) {
auto IfTuple = ExtractAccessor<TensorEvaluator<IfExpr, Dev>>::getTuple(
cgh, eval.cond_impl());
auto ThenTuple = ExtractAccessor<TensorEvaluator<ThenExpr, Dev>>::getTuple(
cgh, eval.then_impl());
auto ElseTuple = ExtractAccessor<TensorEvaluator<ElseExpr, Dev>>::getTuple(
cgh, eval.else_impl());
return utility::tuple::append(IfTuple,
utility::tuple::append(ThenTuple, ElseTuple));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorCwiseSelectOp
template <typename IfExpr, typename ThenExpr, typename ElseExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorSelectOp<IfExpr, ThenExpr, ElseExpr>, Dev>
eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<IfExpr, Dev>>::getTuple(
cgh, eval.cond_impl()),
utility::tuple::append(
ExtractAccessor<TensorEvaluator<ThenExpr, Dev>>::getTuple(
cgh, eval.then_impl()),
ExtractAccessor<TensorEvaluator<ElseExpr, Dev>>::getTuple(
cgh, eval.else_impl())))) {
auto IfTuple = ExtractAccessor<TensorEvaluator<IfExpr, Dev>>::getTuple(
cgh, eval.cond_impl());
auto ThenTuple = ExtractAccessor<TensorEvaluator<ThenExpr, Dev>>::getTuple(
cgh, eval.then_impl());
auto ElseTuple = ExtractAccessor<TensorEvaluator<ElseExpr, Dev>>::getTuple(
cgh, eval.else_impl());
return utility::tuple::append(IfTuple,
utility::tuple::append(ThenTuple, ElseTuple));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorAssignOp
template <typename LHSExpr, typename RHSExpr, typename Dev>
struct ExtractAccessor<
TensorEvaluator<const TensorAssignOp<LHSExpr, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorAssignOp<LHSExpr, RHSExpr>, Dev> eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl()),
ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl()))) {
auto LHSTuple = ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl());
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl());
return utility::tuple::append(LHSTuple, RHSTuple);
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorAssignOp
template <typename LHSExpr, typename RHSExpr, typename Dev>
struct ExtractAccessor<TensorEvaluator<TensorAssignOp<LHSExpr, RHSExpr>, Dev>> {
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<TensorAssignOp<LHSExpr, RHSExpr>, Dev> eval)
-> decltype(utility::tuple::append(
ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
eval.left_impl()),
ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
eval.right_impl()))) {
auto LHSTuple = ExtractAccessor<TensorEvaluator<LHSExpr, Dev>>::getTuple(
cgh, eval.left_impl());
auto RHSTuple = ExtractAccessor<TensorEvaluator<RHSExpr, Dev>>::getTuple(
cgh, eval.right_impl());
return utility::tuple::append(LHSTuple, RHSTuple);
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorForcedEvalOp
template <typename Expr, typename Dev>
struct ExtractAccessor<TensorEvaluator<const TensorForcedEvalOp<Expr>, Dev>> {
using actual_type =
typename Eigen::internal::remove_all<typename TensorEvaluator<
const TensorForcedEvalOp<Expr>, Dev>::CoeffReturnType>::type;
static auto getTuple(
cl::sycl::handler& cgh,
const TensorEvaluator<const TensorForcedEvalOp<Expr>, Dev> eval)
-> decltype(utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read, false,
actual_type>(
eval.dimensions().TotalSize(), cgh, eval.data())))) {
return utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::read, false,
actual_type>(
eval.dimensions().TotalSize(), cgh, eval.data())));
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorForcedEvalOp
template <typename Expr, typename Dev>
struct ExtractAccessor<TensorEvaluator<TensorForcedEvalOp<Expr>, Dev>>
: ExtractAccessor<TensorEvaluator<const TensorForcedEvalOp<Expr>, Dev>> {};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// const TensorEvalToOp
template <typename Expr, typename Dev>
struct ExtractAccessor<TensorEvaluator<const TensorEvalToOp<Expr>, Dev>> {
using actual_type =
typename Eigen::internal::remove_all<typename TensorEvaluator<
const TensorEvalToOp<Expr>, Dev>::CoeffReturnType>::type;
static auto getTuple(cl::sycl::handler& cgh,
TensorEvaluator<const TensorEvalToOp<Expr>, Dev> eval)
-> decltype(utility::tuple::append(
utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::write,
false, actual_type>(
eval.dimensions().TotalSize(), cgh, eval.data()))),
ExtractAccessor<TensorEvaluator<Expr, Dev>>::getTuple(cgh,
eval.impl()))) {
auto LHSTuple = utility::tuple::make_tuple(
(eval.device()
.template get_sycl_accessor<cl::sycl::access::mode::write, false,
actual_type>(
eval.dimensions().TotalSize(), cgh, eval.data())));
auto RHSTuple =
ExtractAccessor<TensorEvaluator<Expr, Dev>>::getTuple(cgh, eval.impl());
return utility::tuple::append(LHSTuple, RHSTuple);
}
};
/// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorEvalToOp
template <typename Expr, typename Dev>
struct ExtractAccessor<TensorEvaluator<TensorEvalToOp<Expr>, Dev>>
: ExtractAccessor<TensorEvaluator<const TensorEvalToOp<Expr>, Dev>> {};
/// template deduction for \ref ExtractAccessor
template <typename Evaluator>
auto createTupleOfAccessors(cl::sycl::handler& cgh, const Evaluator& expr)
-> decltype(ExtractAccessor<Evaluator>::getTuple(cgh, expr)) {
return ExtractAccessor<Evaluator>::getTuple(cgh, expr);
}
}
}
}
#endif // UNSUPPORTED_EIGEN_CXX11_SRC_TENSORYSYCL_EXTRACT_ACCESSOR_HPP
|
