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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_VAR_DIM_H
#define EIGEN_CXX11_TENSOR_TENSOR_VAR_DIM_H
namespace Eigen {
/** \class Tensor
* \ingroup CXX11_Tensor_Module
*
* \brief A version of the tensor class that supports a variable number of dimensions.
*
* The variable equivalent of
* Eigen::Tensor<float, 3> t(3, 5, 7);
* is
* Eigen::TensorVarDim<float> t(3, 5, 7);
*/
template<typename Scalar_, int Options_, typename IndexType_>
class TensorVarDim : public TensorBase<TensorVarDim<Scalar_, Options_, IndexType_> >
{
public:
typedef TensorVarDim<Scalar_, Options_, IndexType_> Self;
typedef TensorBase<TensorVarDim<Scalar_, Options_, IndexType_> > Base;
typedef typename Eigen::internal::nested<Self>::type Nested;
typedef typename internal::traits<Self>::StorageKind StorageKind;
typedef typename internal::traits<Self>::Index Index;
typedef Scalar_ Scalar;
typedef typename internal::packet_traits<Scalar>::type Packet;
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef typename Base::CoeffReturnType CoeffReturnType;
typedef typename Base::PacketReturnType PacketReturnType;
enum {
IsAligned = bool(EIGEN_ALIGN) & !(Options_ & DontAlign),
PacketAccess = (internal::packet_traits<Scalar>::size > 1),
BlockAccess = false,
Layout = Options_ & RowMajor ? RowMajor : ColMajor,
// disabled for now as the number of coefficients is not known by the
// caller at compile time.
CoordAccess = false,
};
static const int Options = Options_;
static const Index NumIndices = Dynamic;
typedef VSizes<Index> Dimensions;
protected:
TensorStorage<Scalar, VSizes<Index>, Options_> m_storage;
public:
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rank() const { return m_storage.dimensions().size(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index dimension(std::size_t n) const { return m_storage.dimensions()[n]; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_storage.dimensions(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index size() const { return m_storage.size(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar *data() { return m_storage.data(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar *data() const { return m_storage.data(); }
// This makes EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
// work, because that uses base().coeffRef() - and we don't yet
// implement a similar class hierarchy
inline Self& base() { return *this; }
inline const Self& base() const { return *this; }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC inline const Scalar& coeff(Index firstIndex, Index secondIndex, IndexTypes... otherIndices) const
{
// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.
static const std::size_t NumIndices = sizeof...(otherIndices) + 2;
return coeff(array<Index, NumIndices>{{firstIndex, secondIndex, otherIndices...}});
}
#endif
template <std::size_t NumIndices>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& coeff(const array<Index, NumIndices>& indices) const
{
eigen_internal_assert(checkIndexRange(indices));
return m_storage.data()[linearizedIndex(indices)];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& coeff(Index index) const
{
eigen_internal_assert(index >= 0 && index < size());
return m_storage.data()[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline Scalar& coeffRef(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)
{
static const std::size_t NumIndices = sizeof...(otherIndices) + 2;
return coeffRef(array<Index, NumIndices>{{firstIndex, secondIndex, otherIndices...}});
}
#endif
template <std::size_t NumIndices>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& coeffRef(const array<Index, NumIndices>& indices)
{
eigen_internal_assert(checkIndexRange(indices));
return m_storage.data()[linearizedIndex(indices)];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
{
eigen_internal_assert(index >= 0 && index < size());
return m_storage.data()[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline const Scalar& operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices) const
{
// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.
static const std::size_t NumIndices = sizeof...(otherIndices) + 2;
return this->operator()(array<Index, NumIndices>{{firstIndex, secondIndex, otherIndices...}});
}
#endif
template <std::size_t NumIndices>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator()(const array<Index, NumIndices>& indices) const
{
eigen_assert(checkIndexRange(indices));
return coeff(indices);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator()(Index index) const
{
eigen_internal_assert(index >= 0 && index < size());
return coeff(index);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator[](Index index) const
{
return coeff(index);
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline Scalar& operator()(Index firstIndex, IndexTypes... otherIndices)
{
// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.
static const size_t NumIndices = sizeof...(otherIndices) + 1;
return operator()(array<Index, NumIndices>{{firstIndex, otherIndices...}});
}
#endif
template <std::size_t NumIndices>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& operator()(const array<Index, NumIndices>& indices)
{
eigen_assert(checkIndexRange(indices));
return coeffRef(indices);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& operator()(Index index)
{
eigen_assert(index >= 0 && index < size());
return coeffRef(index);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& operator[](Index index)
{
return coeffRef(index);
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim()
: m_storage()
{
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim(const Self& other)
: m_storage(other.m_storage)
{
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_STRONG_INLINE TensorVarDim(Index firstDimension, IndexTypes... otherDimensions)
: m_storage(firstDimension, otherDimensions...)
{
}
#endif
EIGEN_STRONG_INLINE explicit TensorVarDim(const std::vector<Index>& dimensions)
: m_storage(dimensions)
{
EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim(const TensorBase<OtherDerived, ReadOnlyAccessors>& other)
{
typedef TensorAssignOp<TensorVarDim, const OtherDerived> Assign;
Assign assign(*this, other.derived());
resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim(const TensorBase<OtherDerived, WriteAccessors>& other)
{
typedef TensorAssignOp<TensorVarDim, const OtherDerived> Assign;
Assign assign(*this, other.derived());
resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim& operator=(const TensorVarDim& other)
{
typedef TensorAssignOp<TensorVarDim, const TensorVarDim> Assign;
Assign assign(*this, other);
resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorVarDim& operator=(const OtherDerived& other)
{
typedef TensorAssignOp<TensorVarDim, const OtherDerived> Assign;
Assign assign(*this, other);
resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
void resize(Index firstDimension, IndexTypes... otherDimensions)
{
// The number of dimensions used to resize a tensor must be equal to the rank of the tensor.
EIGEN_STATIC_ASSERT(sizeof...(otherDimensions) + 1 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)
static const std::size_t NumIndices = sizeof...(otherDimensions) + 1;
resize(array<Index, NumIndices>{{firstDimension, otherDimensions...}});
}
#endif
template <size_t NumIndices>
void resize(const array<Index, NumIndices>& dimensions)
{
Index size = Index(1);
for (std::size_t i = 0; i < NumIndices; i++) {
internal::check_rows_cols_for_overflow<Dynamic>::run(size, dimensions[i]);
size *= dimensions[i];
}
#ifdef EIGEN_INITIALIZE_COEFFS
bool size_changed = size != this->size();
m_storage.resize(size, dimensions);
if(size_changed) EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
#else
m_storage.resize(size, dimensions);
#endif
}
void resize(const std::vector<Index>& dimensions)
{
Index size = Index(1);
for (std::size_t i = 0; i < dimensions.size(); i++) {
internal::check_rows_cols_for_overflow<Dynamic>::run(size, dimensions[i]);
size *= dimensions[i];
}
#ifdef EIGEN_INITIALIZE_COEFFS
bool size_changed = size != this->size();
m_storage.resize(size, dimensions);
if(size_changed) EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
#else
m_storage.resize(size, dimensions);
#endif
}
protected:
template <std::size_t NumIndices>
bool checkIndexRange(const array<Index, NumIndices>& indices) const
{
/* using internal::array_apply_and_reduce;
using internal::array_zip_and_reduce;
using internal::greater_equal_zero_op;
using internal::logical_and_op;
using internal::lesser_op;
return
// check whether the indices are all >= 0
array_apply_and_reduce<logical_and_op, greater_equal_zero_op>(indices) &&
// check whether the indices fit in the dimensions
array_zip_and_reduce<logical_and_op, lesser_op>(indices, m_storage.dimensions());
*/
return true;
}
template <std::size_t NumIndices>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index linearizedIndex(const array<Index, NumIndices>& indices) const
{
if (Options&RowMajor) {
return m_storage.dimensions().IndexOfRowMajor(indices);
} else {
return m_storage.dimensions().IndexOfColMajor(indices);
}
}
};
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_VAR_DIM_H
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