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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-05 12:06:04 -0800
committerGravatar Benoit Steiner <bsteiner@bsteiner2.mtv.corp.google.com>2016-01-05 12:06:04 -0800
commit295625035eefc7801cfe831bd1ba851faacb7579 (patch)
tree9bfcd3910d98519c3925179fc57b60f4a21d2239 /third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
parentb68e9afcc8a0d79045fb01f83a6b92c82fb12c3d (diff)
Deleted the local copy of the tensor code since we're now pulling this
code directly from the eigen repository
Diffstat (limited to 'third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h')
-rw-r--r--third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h291
1 files changed, 0 insertions, 291 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
deleted file mode 100644
index 49d849e233..0000000000
--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
+++ /dev/null
@@ -1,291 +0,0 @@
-// 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;
-
- 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;
-};
-
-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;
-
- 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 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;
-};
-
-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> >
-{
- 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