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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.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/.
#ifndef EIGEN_CXX11_TENSOR_TENSOR_EXPR_H
#define EIGEN_CXX11_TENSOR_TENSOR_EXPR_H
namespace Eigen {
/** \class TensorExpr
* \ingroup CXX11_Tensor_Module
*
* \brief Tensor expression classes.
*
* The TensorCwiseNullaryOp class applies a nullary operators to an expression.
* This is typically used to generate constants.
*
* The TensorCwiseUnaryOp class represents an expression where a unary operator
* (e.g. cwiseSqrt) is applied to an expression.
*
* The TensorCwiseBinaryOp class represents an expression where a binary
* operator (e.g. addition) is applied to a lhs and a rhs expression.
*
*/
namespace internal {
template<typename NullaryOp, typename XprType>
struct traits<TensorCwiseNullaryOp<NullaryOp, XprType> >
: traits<XprType>
{
typedef traits<XprType> XprTraits;
typedef typename XprType::Scalar Scalar;
typedef typename XprType::Nested XprTypeNested;
typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename XprTraits::PointerType PointerType;
enum {
Flags = 0
};
};
} // end namespace internal
template<typename NullaryOp, typename XprType>
class TensorCwiseNullaryOp : public TensorBase<TensorCwiseNullaryOp<NullaryOp, XprType>, ReadOnlyAccessors>
{
public:
typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::Scalar Scalar;
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef TensorCwiseNullaryOp<NullaryOp, XprType> Nested;
typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::StorageKind StorageKind;
typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::Index Index;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorCwiseNullaryOp(const XprType& xpr, const NullaryOp& func = NullaryOp())
: m_xpr(xpr), m_functor(func) {}
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename XprType::Nested>::type&
nestedExpression() const { return m_xpr; }
EIGEN_DEVICE_FUNC
const NullaryOp& functor() const { return m_functor; }
protected:
typename XprType::Nested m_xpr;
const NullaryOp m_functor;
};
namespace internal {
template<typename UnaryOp, typename XprType>
struct traits<TensorCwiseUnaryOp<UnaryOp, XprType> >
: traits<XprType>
{
// TODO(phli): Add InputScalar, InputPacket. Check references to
// current Scalar/Packet to see if the intent is Input or Output.
typedef typename result_of<UnaryOp(typename XprType::Scalar)>::type Scalar;
typedef traits<XprType> XprTraits;
typedef typename XprType::Nested XprTypeNested;
typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename TypeConversion<Scalar,
typename XprTraits::PointerType
>::type
PointerType;
};
template<typename UnaryOp, typename XprType>
struct eval<TensorCwiseUnaryOp<UnaryOp, XprType>, Eigen::Dense>
{
typedef const TensorCwiseUnaryOp<UnaryOp, XprType>& type;
};
template<typename UnaryOp, typename XprType>
struct nested<TensorCwiseUnaryOp<UnaryOp, XprType>, 1, typename eval<TensorCwiseUnaryOp<UnaryOp, XprType> >::type>
{
typedef TensorCwiseUnaryOp<UnaryOp, XprType> type;
};
} // end namespace internal
template<typename UnaryOp, typename XprType>
class TensorCwiseUnaryOp : public TensorBase<TensorCwiseUnaryOp<UnaryOp, XprType>, ReadOnlyAccessors>
{
public:
// TODO(phli): Add InputScalar, InputPacket. Check references to
// current Scalar/Packet to see if the intent is Input or Output.
typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::Scalar Scalar;
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
typedef Scalar CoeffReturnType;
typedef typename Eigen::internal::nested<TensorCwiseUnaryOp>::type Nested;
typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::StorageKind StorageKind;
typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::Index Index;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorCwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp())
: m_xpr(xpr), m_functor(func) {}
EIGEN_DEVICE_FUNC
const UnaryOp& functor() const { return m_functor; }
/** \returns the nested expression */
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename XprType::Nested>::type&
nestedExpression() const { return m_xpr; }
protected:
typename XprType::Nested m_xpr;
const UnaryOp m_functor;
};
namespace internal {
template<typename BinaryOp, typename LhsXprType, typename RhsXprType>
struct traits<TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType> >
{
// Type promotion to handle the case where the types of the lhs and the rhs
// are different.
// TODO(phli): Add Lhs/RhsScalar, Lhs/RhsPacket. Check references to
// current Scalar/Packet to see if the intent is Inputs or Output.
typedef typename result_of<
BinaryOp(typename LhsXprType::Scalar,
typename RhsXprType::Scalar)>::type Scalar;
typedef traits<LhsXprType> XprTraits;
typedef typename promote_storage_type<
typename traits<LhsXprType>::StorageKind,
typename traits<RhsXprType>::StorageKind>::ret StorageKind;
typedef typename promote_index_type<
typename traits<LhsXprType>::Index,
typename traits<RhsXprType>::Index>::type Index;
typedef typename LhsXprType::Nested LhsNested;
typedef typename RhsXprType::Nested RhsNested;
typedef typename remove_reference<LhsNested>::type _LhsNested;
typedef typename remove_reference<RhsNested>::type _RhsNested;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename TypeConversion<Scalar,
typename conditional<Pointer_type_promotion<typename LhsXprType::Scalar, Scalar>::val,
typename traits<LhsXprType>::PointerType,
typename traits<RhsXprType>::PointerType>::type
>::type
PointerType;
enum {
Flags = 0
};
};
template<typename BinaryOp, typename LhsXprType, typename RhsXprType>
struct eval<TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType>, Eigen::Dense>
{
typedef const TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType>& type;
};
template<typename BinaryOp, typename LhsXprType, typename RhsXprType>
struct nested<TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType>, 1, typename eval<TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType> >::type>
{
typedef TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType> type;
};
} // end namespace internal
template<typename BinaryOp, typename LhsXprType, typename RhsXprType>
class TensorCwiseBinaryOp : public TensorBase<TensorCwiseBinaryOp<BinaryOp, LhsXprType, RhsXprType>, ReadOnlyAccessors>
{
public:
// TODO(phli): Add Lhs/RhsScalar, Lhs/RhsPacket. Check references to
// current Scalar/Packet to see if the intent is Inputs or Output.
typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Scalar Scalar;
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
typedef Scalar CoeffReturnType;
typedef typename Eigen::internal::nested<TensorCwiseBinaryOp>::type Nested;
typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::StorageKind StorageKind;
typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Index Index;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorCwiseBinaryOp(const LhsXprType& lhs, const RhsXprType& rhs, const BinaryOp& func = BinaryOp())
: m_lhs_xpr(lhs), m_rhs_xpr(rhs), m_functor(func) {}
EIGEN_DEVICE_FUNC
const BinaryOp& functor() const { return m_functor; }
/** \returns the nested expressions */
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename LhsXprType::Nested>::type&
lhsExpression() const { return m_lhs_xpr; }
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename RhsXprType::Nested>::type&
rhsExpression() const { return m_rhs_xpr; }
protected:
typename LhsXprType::Nested m_lhs_xpr;
typename RhsXprType::Nested m_rhs_xpr;
const BinaryOp m_functor;
};
namespace internal {
template<typename TernaryOp, typename Arg1XprType, typename Arg2XprType, typename Arg3XprType>
struct traits<TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType> >
{
// Type promotion to handle the case where the types of the args are different.
typedef typename result_of<
TernaryOp(typename Arg1XprType::Scalar,
typename Arg2XprType::Scalar,
typename Arg3XprType::Scalar)>::type Scalar;
typedef traits<Arg1XprType> XprTraits;
typedef typename traits<Arg1XprType>::StorageKind StorageKind;
typedef typename traits<Arg1XprType>::Index Index;
typedef typename Arg1XprType::Nested Arg1Nested;
typedef typename Arg2XprType::Nested Arg2Nested;
typedef typename Arg3XprType::Nested Arg3Nested;
typedef typename remove_reference<Arg1Nested>::type _Arg1Nested;
typedef typename remove_reference<Arg2Nested>::type _Arg2Nested;
typedef typename remove_reference<Arg3Nested>::type _Arg3Nested;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename TypeConversion<Scalar,
typename conditional<Pointer_type_promotion<typename Arg2XprType::Scalar, Scalar>::val,
typename traits<Arg2XprType>::PointerType,
typename traits<Arg3XprType>::PointerType>::type
>::type
PointerType;
enum {
Flags = 0
};
};
template<typename TernaryOp, typename Arg1XprType, typename Arg2XprType, typename Arg3XprType>
struct eval<TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType>, Eigen::Dense>
{
typedef const TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType>& type;
};
template<typename TernaryOp, typename Arg1XprType, typename Arg2XprType, typename Arg3XprType>
struct nested<TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType>, 1, typename eval<TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType> >::type>
{
typedef TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType> type;
};
} // end namespace internal
template<typename TernaryOp, typename Arg1XprType, typename Arg2XprType, typename Arg3XprType>
class TensorCwiseTernaryOp : public TensorBase<TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType>, ReadOnlyAccessors>
{
public:
typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Scalar Scalar;
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
typedef Scalar CoeffReturnType;
typedef typename Eigen::internal::nested<TensorCwiseTernaryOp>::type Nested;
typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::StorageKind StorageKind;
typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Index Index;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorCwiseTernaryOp(const Arg1XprType& arg1, const Arg2XprType& arg2, const Arg3XprType& arg3, const TernaryOp& func = TernaryOp())
: m_arg1_xpr(arg1), m_arg2_xpr(arg2), m_arg3_xpr(arg3), m_functor(func) {}
EIGEN_DEVICE_FUNC
const TernaryOp& functor() const { return m_functor; }
/** \returns the nested expressions */
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename Arg1XprType::Nested>::type&
arg1Expression() const { return m_arg1_xpr; }
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename Arg2XprType::Nested>::type&
arg2Expression() const { return m_arg2_xpr; }
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename Arg3XprType::Nested>::type&
arg3Expression() const { return m_arg3_xpr; }
protected:
typename Arg1XprType::Nested m_arg1_xpr;
typename Arg2XprType::Nested m_arg2_xpr;
typename Arg3XprType::Nested m_arg3_xpr;
const TernaryOp m_functor;
};
namespace internal {
template<typename IfXprType, typename ThenXprType, typename ElseXprType>
struct traits<TensorSelectOp<IfXprType, ThenXprType, ElseXprType> >
: traits<ThenXprType>
{
typedef typename traits<ThenXprType>::Scalar Scalar;
typedef traits<ThenXprType> XprTraits;
typedef typename promote_storage_type<typename traits<ThenXprType>::StorageKind,
typename traits<ElseXprType>::StorageKind>::ret StorageKind;
typedef typename promote_index_type<typename traits<ElseXprType>::Index,
typename traits<ThenXprType>::Index>::type Index;
typedef typename IfXprType::Nested IfNested;
typedef typename ThenXprType::Nested ThenNested;
typedef typename ElseXprType::Nested ElseNested;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename conditional<Pointer_type_promotion<typename ThenXprType::Scalar, Scalar>::val,
typename traits<ThenXprType>::PointerType,
typename traits<ElseXprType>::PointerType>::type PointerType;
};
template<typename IfXprType, typename ThenXprType, typename ElseXprType>
struct eval<TensorSelectOp<IfXprType, ThenXprType, ElseXprType>, Eigen::Dense>
{
typedef const TensorSelectOp<IfXprType, ThenXprType, ElseXprType>& type;
};
template<typename IfXprType, typename ThenXprType, typename ElseXprType>
struct nested<TensorSelectOp<IfXprType, ThenXprType, ElseXprType>, 1, typename eval<TensorSelectOp<IfXprType, ThenXprType, ElseXprType> >::type>
{
typedef TensorSelectOp<IfXprType, ThenXprType, ElseXprType> type;
};
} // end namespace internal
template<typename IfXprType, typename ThenXprType, typename ElseXprType>
class TensorSelectOp : public TensorBase<TensorSelectOp<IfXprType, ThenXprType, ElseXprType>, ReadOnlyAccessors>
{
public:
typedef typename Eigen::internal::traits<TensorSelectOp>::Scalar Scalar;
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
typedef typename internal::promote_storage_type<typename ThenXprType::CoeffReturnType,
typename ElseXprType::CoeffReturnType>::ret CoeffReturnType;
typedef typename Eigen::internal::nested<TensorSelectOp>::type Nested;
typedef typename Eigen::internal::traits<TensorSelectOp>::StorageKind StorageKind;
typedef typename Eigen::internal::traits<TensorSelectOp>::Index Index;
EIGEN_DEVICE_FUNC
TensorSelectOp(const IfXprType& a_condition,
const ThenXprType& a_then,
const ElseXprType& a_else)
: m_condition(a_condition), m_then(a_then), m_else(a_else)
{ }
EIGEN_DEVICE_FUNC
const IfXprType& ifExpression() const { return m_condition; }
EIGEN_DEVICE_FUNC
const ThenXprType& thenExpression() const { return m_then; }
EIGEN_DEVICE_FUNC
const ElseXprType& elseExpression() const { return m_else; }
protected:
typename IfXprType::Nested m_condition;
typename ThenXprType::Nested m_then;
typename ElseXprType::Nested m_else;
};
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_EXPR_H
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