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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_CONTRACTION_MAPPER_H
#define EIGEN_CXX11_TENSOR_TENSOR_CONTRACTION_MAPPER_H
// IWYU pragma: private
#include "./InternalHeaderCheck.h"
namespace Eigen {
namespace internal {
enum { Rhs = 0, Lhs = 1 };
/*
* Implementation of the Eigen blas_data_mapper class for tensors.
*/
/// The make pointer class is used by sycl in order to build the mapper class on the device. For other platform the
/// default make pointer is used which is scalar * for CoeffLoader.
template <typename Tensor, bool HasRawAccess, template <class> class MakePointer_ = MakePointer>
struct CoeffLoader;
template <typename Scalar, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
int packet_size, bool inner_dim_contiguous, bool inner_dim_reordered, int Alignment,
template <class> class MakePointer_ = MakePointer>
class BaseTensorContractionMapper;
template <typename Tensor, bool HasRawAccess, template <class> class MakePointer_>
struct CoeffLoader {
enum { DirectOffsets = false };
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE CoeffLoader(const Tensor& tensor) : m_tensor(tensor) {}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void offsetBuffer(typename Tensor::Index) {
eigen_assert(false && "unsupported");
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE const typename MakePointer_<const typename Tensor::Scalar>::Type data() const {
eigen_assert(false && "unsupported");
return NULL;
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE typename Tensor::Scalar coeff(typename Tensor::Index index) const {
return m_tensor.coeff(index);
}
template <int LoadMode>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename Tensor::PacketReturnType packet(typename Tensor::Index index) const {
return m_tensor.template packet<LoadMode>(index);
}
private:
const Tensor m_tensor;
};
template <typename Tensor, template <class> class MakePointer_>
struct CoeffLoader<Tensor, true, MakePointer_> {
enum { DirectOffsets = true };
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE CoeffLoader(const Tensor& tensor) : m_data(tensor.data()) {}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void offsetBuffer(typename Tensor::Index offset) { m_data += offset; }
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE const typename MakePointer_<const typename Tensor::Scalar>::Type data() const {
return m_data;
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE typename Tensor::Scalar coeff(typename Tensor::Index index) const {
return loadConstant(m_data + index);
}
template <int LoadMode>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename Tensor::PacketReturnType packet(typename Tensor::Index index) const {
return internal::ploadt_ro<typename Tensor::PacketReturnType, LoadMode>(m_data + index);
}
private:
typedef typename Tensor::Scalar Scalar;
typename MakePointer_<const Scalar>::Type m_data;
};
template <typename Scalar, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
int packet_size, bool inner_dim_contiguous, int Alignment, template <class> class MakePointer_ = MakePointer>
class SimpleTensorContractionMapper {
public:
EIGEN_DEVICE_FUNC SimpleTensorContractionMapper(const Tensor& tensor, const nocontract_t& nocontract_strides,
const nocontract_t& ij_strides, const contract_t& contract_strides,
const contract_t& k_strides)
: m_tensor(tensor),
m_nocontract_strides(nocontract_strides),
m_ij_strides(ij_strides),
m_contract_strides(contract_strides),
m_k_strides(k_strides) {}
enum { DirectOffsets = CoeffLoader<Tensor, Tensor::RawAccess, MakePointer_>::DirectOffsets };
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void offsetBuffer(typename Tensor::Index offset) {
m_tensor.offsetBuffer(offset);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void prefetch(Index /*i*/) {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(Index row) const {
// column major assumption
return operator()(row, 0);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(Index row, Index col) const {
return m_tensor.coeff(computeIndex(row, col));
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index computeIndex(Index row, Index col) const {
const bool left = (side == Lhs);
EIGEN_UNUSED_VARIABLE(left); // annoying bug in g++8.1: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=85963
Index nocontract_val = left ? row : col;
Index linidx = 0;
EIGEN_UNROLL_LOOP
for (int i = static_cast<int>(array_size<nocontract_t>::value) - 1; i > 0; i--) {
const Index idx = nocontract_val / m_ij_strides[i];
linidx += idx * m_nocontract_strides[i];
nocontract_val -= idx * m_ij_strides[i];
}
if (array_size<typename Tensor::Dimensions>::value > array_size<contract_t>::value) {
if (side == Lhs && inner_dim_contiguous) {
eigen_assert(m_nocontract_strides[0] == 1);
linidx += nocontract_val;
} else {
linidx += nocontract_val * m_nocontract_strides[0];
}
}
Index contract_val = left ? col : row;
if (array_size<contract_t>::value > 0) {
EIGEN_UNROLL_LOOP
for (int i = static_cast<int>(array_size<contract_t>::value) - 1; i > 0; i--) {
const Index idx = contract_val / m_k_strides[i];
linidx += idx * m_contract_strides[i];
contract_val -= idx * m_k_strides[i];
}
if (side == Rhs && inner_dim_contiguous) {
eigen_assert(m_contract_strides[0] == 1);
linidx += contract_val;
} else {
linidx += contract_val * m_contract_strides[0];
}
}
return linidx;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE IndexPair<Index> computeIndexPair(Index row, Index col,
const Index distance) const {
const bool left = (side == Lhs);
EIGEN_UNUSED_VARIABLE(left); // annoying bug in g++8.1: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=85963
Index nocontract_val[2] = {left ? row : col, left ? row + distance : col};
Index linidx[2] = {0, 0};
if (array_size<typename Tensor::Dimensions>::value > array_size<contract_t>::value) {
EIGEN_UNROLL_LOOP
for (int i = static_cast<int>(array_size<nocontract_t>::value) - 1; i > 0; i--) {
const Index idx0 = nocontract_val[0] / m_ij_strides[i];
const Index idx1 = nocontract_val[1] / m_ij_strides[i];
linidx[0] += idx0 * m_nocontract_strides[i];
linidx[1] += idx1 * m_nocontract_strides[i];
nocontract_val[0] -= idx0 * m_ij_strides[i];
nocontract_val[1] -= idx1 * m_ij_strides[i];
}
if (side == Lhs && inner_dim_contiguous) {
eigen_assert(m_nocontract_strides[0] == 1);
linidx[0] += nocontract_val[0];
linidx[1] += nocontract_val[1];
} else {
linidx[0] += nocontract_val[0] * m_nocontract_strides[0];
linidx[1] += nocontract_val[1] * m_nocontract_strides[0];
}
}
Index contract_val[2] = {left ? col : row, left ? col : row + distance};
if (array_size<contract_t>::value > 0) {
EIGEN_UNROLL_LOOP
for (int i = static_cast<int>(array_size<contract_t>::value) - 1; i > 0; i--) {
const Index idx0 = contract_val[0] / m_k_strides[i];
const Index idx1 = contract_val[1] / m_k_strides[i];
linidx[0] += idx0 * m_contract_strides[i];
linidx[1] += idx1 * m_contract_strides[i];
contract_val[0] -= idx0 * m_k_strides[i];
contract_val[1] -= idx1 * m_k_strides[i];
}
if (side == Rhs && inner_dim_contiguous) {
eigen_assert(m_contract_strides[0] == 1);
linidx[0] += contract_val[0];
linidx[1] += contract_val[1];
} else {
linidx[0] += contract_val[0] * m_contract_strides[0];
linidx[1] += contract_val[1] * m_contract_strides[0];
}
}
return IndexPair<Index>(linidx[0], linidx[1]);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Index firstAligned(Index size) const {
// Only claim alignment when we can compute the actual stride (ie when we're
// dealing with the lhs with inner_dim_contiguous. This is because the
// matrix-vector product relies on the stride when dealing with aligned inputs.
return (Alignment == Aligned) && (side == Lhs) && inner_dim_contiguous ? 0 : size;
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Index stride() const {
return ((side == Lhs) && inner_dim_contiguous && array_size<contract_t>::value > 0) ? m_contract_strides[0] : 1;
}
const CoeffLoader<Tensor, Tensor::RawAccess, MakePointer_>& tensor() const { return m_tensor; }
const nocontract_t& nocontract_strides() const { return m_nocontract_strides; }
const nocontract_t& ij_strides() const { return m_ij_strides; }
const contract_t& contract_strides() const { return m_contract_strides; }
const contract_t& k_strides() const { return m_k_strides; }
protected:
CoeffLoader<Tensor, Tensor::RawAccess, MakePointer_> m_tensor;
const nocontract_t m_nocontract_strides;
const nocontract_t m_ij_strides;
const contract_t m_contract_strides;
const contract_t m_k_strides;
};
template <typename Scalar, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
int packet_size, bool inner_dim_contiguous, bool inner_dim_reordered, int Alignment,
template <class> class MakePointer_>
class BaseTensorContractionMapper
: public SimpleTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, Alignment, MakePointer_> {
public:
typedef SimpleTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, Alignment, MakePointer_>
ParentMapper;
EIGEN_DEVICE_FUNC BaseTensorContractionMapper(const Tensor& tensor, const nocontract_t& nocontract_strides,
const nocontract_t& ij_strides, const contract_t& contract_strides,
const contract_t& k_strides)
: ParentMapper(tensor, nocontract_strides, ij_strides, contract_strides, k_strides) {}
template <typename PacketT, int AlignmentType>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
std::enable_if_t<internal::unpacket_traits<PacketT>::size == packet_size, PacketT>
load(Index i, Index j) const {
// whole method makes column major assumption
// don't need to add offsets for now (because operator handles that)
// current code assumes packet size must be a multiple of 2
EIGEN_STATIC_ASSERT(packet_size % 2 == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);
if (Tensor::PacketAccess && inner_dim_contiguous && !inner_dim_reordered) {
const Index index = this->computeIndex(i, j);
eigen_assert(this->computeIndex(i + packet_size - 1, j) == index + packet_size - 1);
return this->m_tensor.template packet<AlignmentType>(index);
}
const IndexPair<Index> indexPair = this->computeIndexPair(i, j, packet_size - 1);
const Index first = indexPair.first;
const Index lastIdx = indexPair.second;
// We can always do optimized packet reads from left hand side right now, because
// the vertical matrix dimension on the left hand side is never contracting.
// On the right hand side we need to check if the contracting dimensions may have
// been shuffled first.
if (Tensor::PacketAccess && (side == Lhs || internal::array_size<contract_t>::value <= 1 || !inner_dim_reordered) &&
(lastIdx - first) == (packet_size - 1)) {
return this->m_tensor.template packet<AlignmentType>(first);
}
EIGEN_ALIGN_MAX Scalar data[packet_size];
data[0] = this->m_tensor.coeff(first);
EIGEN_UNROLL_LOOP
for (Index k = 1; k < packet_size - 1; k += 2) {
const IndexPair<Index> internal_pair = this->computeIndexPair(i + k, j, 1);
data[k] = this->m_tensor.coeff(internal_pair.first);
data[k + 1] = this->m_tensor.coeff(internal_pair.second);
}
data[packet_size - 1] = this->m_tensor.coeff(lastIdx);
return pload<PacketT>(data);
}
template <typename PacketT, int AlignmentType>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
std::enable_if_t<internal::unpacket_traits<PacketT>::size != packet_size, PacketT>
load(Index i, Index j) const {
const Index requested_packet_size = internal::unpacket_traits<PacketT>::size;
EIGEN_ALIGN_MAX Scalar data[requested_packet_size];
const IndexPair<Index> indexPair = this->computeIndexPair(i, j, requested_packet_size - 1);
const Index first = indexPair.first;
const Index lastIdx = indexPair.second;
data[0] = this->m_tensor.coeff(first);
for (Index k = 1; k < requested_packet_size - 1; k += 2) {
const IndexPair<Index> internal_pair = this->computeIndexPair(i + k, j, 1);
data[k] = this->m_tensor.coeff(internal_pair.first);
data[k + 1] = this->m_tensor.coeff(internal_pair.second);
}
data[requested_packet_size - 1] = this->m_tensor.coeff(lastIdx);
return pload<PacketT>(data);
}
template <typename PacketT, int AlignmentType>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
return this->load<PacketT, AlignmentType>(i, j);
}
};
template <typename Scalar, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
bool inner_dim_contiguous, bool inner_dim_reordered, int Alignment, template <class> class MakePointer_>
class BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, 1, inner_dim_contiguous,
inner_dim_reordered, Alignment, MakePointer_>
: public SimpleTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, 1,
inner_dim_contiguous, Alignment, MakePointer_> {
public:
typedef SimpleTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, 1, inner_dim_contiguous,
Alignment, MakePointer_>
ParentMapper;
EIGEN_DEVICE_FUNC BaseTensorContractionMapper(const Tensor& tensor, const nocontract_t& nocontract_strides,
const nocontract_t& ij_strides, const contract_t& contract_strides,
const contract_t& k_strides)
: ParentMapper(tensor, nocontract_strides, ij_strides, contract_strides, k_strides) {}
template <typename PacketT, int>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
EIGEN_ALIGN_MAX Scalar data[1];
data[0] = this->m_tensor.coeff(this->computeIndex(i, j));
return pload<PacketT>(data);
}
template <typename PacketT, int>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketT load(Index i, Index j) const {
EIGEN_ALIGN_MAX Scalar data[1];
data[0] = this->m_tensor.coeff(this->computeIndex(i, j));
return pload<PacketT>(data);
}
};
template <typename Scalar, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
int packet_size, bool inner_dim_contiguous, bool inner_dim_reordered, int Alignment,
template <class> class MakePointer_ = MakePointer>
class TensorContractionSubMapper {
public:
typedef BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, inner_dim_reordered, Alignment, MakePointer_>
ParentMapper;
typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, inner_dim_reordered, Alignment, MakePointer_>
Self;
typedef Self LinearMapper;
typedef Self SubMapper;
enum {
// We can use direct offsets iff the parent mapper supports then and we can compute the strides.
// TODO: we should also enable direct offsets for the Rhs case.
UseDirectOffsets =
ParentMapper::DirectOffsets && (side == Lhs) && inner_dim_contiguous && (array_size<contract_t>::value > 0)
};
EIGEN_DEVICE_FUNC TensorContractionSubMapper(const ParentMapper& base_mapper, Index vert_offset, Index horiz_offset)
: m_base_mapper(base_mapper), m_vert_offset(vert_offset), m_horiz_offset(horiz_offset) {
// Bake the offsets into the buffer used by the base mapper whenever possible. This avoids the need to recompute
// this offset every time we attempt to access a coefficient.
if (UseDirectOffsets) {
Index stride = m_base_mapper.stride();
m_base_mapper.offsetBuffer(vert_offset + horiz_offset * stride);
}
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar operator()(Index i) const {
if (UseDirectOffsets) {
return m_base_mapper(i, 0);
}
return m_base_mapper(i + m_vert_offset, m_horiz_offset);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar operator()(Index i, Index j) const {
if (UseDirectOffsets) {
return m_base_mapper(i, j);
}
return m_base_mapper(i + m_vert_offset, j + m_horiz_offset);
}
template <typename PacketT>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i) const {
if (UseDirectOffsets) {
return m_base_mapper.template loadPacket<PacketT, Alignment>(i, 0);
}
return m_base_mapper.template loadPacket<PacketT, Alignment>(i + m_vert_offset, m_horiz_offset);
}
template <typename PacketT>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
if (UseDirectOffsets) {
return m_base_mapper.template loadPacket<PacketT, Alignment>(i, j);
}
return m_base_mapper.template loadPacket<PacketT, Alignment>(i + m_vert_offset, j + m_horiz_offset);
}
template <typename PacketT>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT loadPacketPartial(Index i, Index j, Index, Index = 0) const {
if (UseDirectOffsets) {
return m_base_mapper.template loadPacket<PacketT, Alignment>(i, j);
}
return m_base_mapper.template loadPacket<PacketT, Alignment>(i + m_vert_offset, j + m_horiz_offset);
}
template <typename PacketT, int AlignmentType>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
if (UseDirectOffsets) {
return m_base_mapper.template load<PacketT, AlignmentType>(i, j);
}
return m_base_mapper.template loadPacket<PacketT, AlignmentType>(i + m_vert_offset, j + m_horiz_offset);
}
template <typename PacketT>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void storePacket(Index i, const PacketT& p) const {
if (UseDirectOffsets) {
m_base_mapper.storePacket(i, 0, p);
}
m_base_mapper.storePacket(i + m_vert_offset, m_horiz_offset, p);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE LinearMapper getLinearMapper(Index i, Index j) const {
if (UseDirectOffsets) {
return LinearMapper(m_base_mapper, i, j);
}
return LinearMapper(m_base_mapper, i + m_vert_offset, j + m_horiz_offset);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE SubMapper getSubMapper(Index i, Index j) const {
if (UseDirectOffsets) {
return SubMapper(m_base_mapper, i, j);
}
return SubMapper(m_base_mapper, i + m_vert_offset, j + m_horiz_offset);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE const Index stride() const { return m_base_mapper.stride(); }
template <typename PacketT, int AlignmentType>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT load(Index i) const {
EIGEN_STATIC_ASSERT((internal::is_same<PacketT, PacketT>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
const int ActualAlignment = (AlignmentType == Aligned) && (Alignment == Aligned) ? Aligned : Unaligned;
if (UseDirectOffsets) {
return m_base_mapper.template loadPacket<PacketT, ActualAlignment>(i, 0);
}
return m_base_mapper.template loadPacket<PacketT, ActualAlignment>(i + m_vert_offset, m_horiz_offset);
}
template <typename PacketT>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE bool aligned(Index) const {
return false;
}
const ParentMapper& base_mapper() const { return m_base_mapper; }
Index vert_offset() const { return m_vert_offset; }
Index horiz_offset() const { return m_horiz_offset; }
private:
ParentMapper m_base_mapper;
const Index m_vert_offset;
const Index m_horiz_offset;
};
template <typename Scalar_, typename Index, int side, typename Tensor, typename nocontract_t, typename contract_t,
int packet_size, bool inner_dim_contiguous, bool inner_dim_reordered, int Alignment,
template <class> class MakePointer_ = MakePointer>
class TensorContractionInputMapper
: public BaseTensorContractionMapper<Scalar_, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, inner_dim_reordered, Alignment, MakePointer_> {
public:
typedef Scalar_ Scalar;
typedef BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, inner_dim_reordered, Alignment, MakePointer_>
Base;
typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size,
inner_dim_contiguous, inner_dim_reordered, Alignment, MakePointer_>
SubMapper;
typedef SubMapper VectorMapper;
typedef SubMapper LinearMapper;
EIGEN_DEVICE_FUNC TensorContractionInputMapper(const Tensor& tensor, const nocontract_t& nocontract_strides,
const nocontract_t& ij_strides, const contract_t& contract_strides,
const contract_t& k_strides)
: Base(tensor, nocontract_strides, ij_strides, contract_strides, k_strides) {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE SubMapper getSubMapper(Index i, Index j) const {
return SubMapper(*this, i, j);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE LinearMapper getLinearMapper(Index i, Index j) const {
return LinearMapper(*this, i, j);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE VectorMapper getVectorMapper(Index i, Index j) const {
return VectorMapper(*this, i, j);
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE const CoeffLoader<Tensor, Tensor::RawAccess, MakePointer_>& get_tensor() const {
return Base::m_tensor;
}
};
template <typename T>
struct TensorContractionInputMapperTrait;
template <typename Scalar_, typename Index_, int side_, typename Tensor_, typename nocontract_t_, typename contract_t_,
int packet_size_, bool inner_dim_contiguous_, bool inner_dim_reordered_, int Alignment_,
template <class> class MakePointer_>
struct TensorContractionInputMapperTrait<
TensorContractionInputMapper<Scalar_, Index_, side_, Tensor_, nocontract_t_, contract_t_, packet_size_,
inner_dim_contiguous_, inner_dim_reordered_, Alignment_, MakePointer_> > {
typedef Tensor_ XprType;
static const bool inner_dim_contiguous = inner_dim_contiguous_;
static const bool inner_dim_reordered = inner_dim_reordered_;
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_CONTRACTION_MAPPER_H