mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-01-30 17:40:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Many files were missing in previous changeset.

Browse Source
This commit is contained in:
Gael Guennebaud 2015-07-29 11:11:23 +02:00
parent f7d5b9323d
commit aec4814370
31 changed files with 82 additions and 82 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
test/dynalloc.cpp
View File

@ -9,8 +9,8 @@
#include "main.h"
#if EIGEN_ALIGN
#define ALIGNMENT EIGEN_ALIGN_BYTES
#if EIGEN_MAX_ALIGN_BYTES>0
#define ALIGNMENT EIGEN_MAX_ALIGN_BYTES
#else
#define ALIGNMENT 1
#endif
@ -106,7 +106,7 @@ template<typename T> void check_custom_new_delete()
delete[] t;
}
#ifdef EIGEN_ALIGN
#if EIGEN_MAX_ALIGN_BYTES>0
{
T* t = static_cast<T *>((T::operator new)(sizeof(T)));
(T::operator delete)(t, sizeof(T));
@ -143,7 +143,7 @@ void test_dynalloc()
}
// check static allocation, who knows ?
#if EIGEN_ALIGN_STATICALLY
#if EIGEN_MAX_STATIC_ALIGN_BYTES
{
MyStruct foo0; VERIFY(size_t(foo0.avec.data())%ALIGNMENT==0);
MyClassA fooA; VERIFY(size_t(fooA.avec.data())%ALIGNMENT==0);

8
test/geo_hyperplane.cpp
View File

@ -155,9 +155,9 @@ template<typename Scalar> void hyperplane_alignment()
typedef Hyperplane<Scalar,3,AutoAlign> Plane3a;
typedef Hyperplane<Scalar,3,DontAlign> Plane3u;
EIGEN_ALIGN_DEFAULT Scalar array1[4];
EIGEN_ALIGN_DEFAULT Scalar array2[4];
EIGEN_ALIGN_DEFAULT Scalar array3[4+1];
EIGEN_ALIGN_MAX Scalar array1[4];
EIGEN_ALIGN_MAX Scalar array2[4];
EIGEN_ALIGN_MAX Scalar array3[4+1];
Scalar* array3u = array3+1;
Plane3a *p1 = ::new(reinterpret_cast<void*>(array1)) Plane3a;
@ -171,7 +171,7 @@ template<typename Scalar> void hyperplane_alignment()
VERIFY_IS_APPROX(p1->coeffs(), p2->coeffs());
VERIFY_IS_APPROX(p1->coeffs(), p3->coeffs());
#if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
#if defined(EIGEN_VECTORIZE) && EIGEN_MAX_STATIC_ALIGN_BYTES > 0
if(internal::packet_traits<Scalar>::Vectorizable && internal::packet_traits<Scalar>::size<=4)
VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(array3u)) Plane3a));
#endif

8
test/geo_parametrizedline.cpp
View File

@ -66,9 +66,9 @@ template<typename Scalar> void parametrizedline_alignment()
typedef ParametrizedLine<Scalar,4,AutoAlign> Line4a;
typedef ParametrizedLine<Scalar,4,DontAlign> Line4u;
EIGEN_ALIGN_DEFAULT Scalar array1[16];
EIGEN_ALIGN_DEFAULT Scalar array2[16];
EIGEN_ALIGN_DEFAULT Scalar array3[16+1];
EIGEN_ALIGN_MAX Scalar array1[16];
EIGEN_ALIGN_MAX Scalar array2[16];
EIGEN_ALIGN_MAX Scalar array3[16+1];
Scalar* array3u = array3+1;
Line4a *p1 = ::new(reinterpret_cast<void*>(array1)) Line4a;
@ -85,7 +85,7 @@ template<typename Scalar> void parametrizedline_alignment()
VERIFY_IS_APPROX(p1->direction(), p2->direction());
VERIFY_IS_APPROX(p1->direction(), p3->direction());
#if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
#if defined(EIGEN_VECTORIZE) && EIGEN_MAX_STATIC_ALIGN_BYTES>0
if(internal::packet_traits<Scalar>::Vectorizable && internal::packet_traits<Scalar>::size<=4)
VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(array3u)) Line4a));
#endif

14
test/geo_quaternion.cpp
View File

@ -181,9 +181,9 @@ template<typename Scalar> void mapQuaternion(void){
v1 = Vector3::Random();
Scalar a = internal::random<Scalar>(-Scalar(EIGEN_PI), Scalar(EIGEN_PI));
EIGEN_ALIGN_DEFAULT Scalar array1[4];
EIGEN_ALIGN_DEFAULT Scalar array2[4];
EIGEN_ALIGN_DEFAULT Scalar array3[4+1];
EIGEN_ALIGN_MAX Scalar array1[4];
EIGEN_ALIGN_MAX Scalar array2[4];
EIGEN_ALIGN_MAX Scalar array3[4+1];
Scalar* array3unaligned = array3+1;
MQuaternionA mq1(array1);
@ -232,9 +232,9 @@ template<typename Scalar> void quaternionAlignment(void){
typedef Quaternion<Scalar,AutoAlign> QuaternionA;
typedef Quaternion<Scalar,DontAlign> QuaternionUA;
EIGEN_ALIGN_DEFAULT Scalar array1[4];
EIGEN_ALIGN_DEFAULT Scalar array2[4];
EIGEN_ALIGN_DEFAULT Scalar array3[4+1];
EIGEN_ALIGN_MAX Scalar array1[4];
EIGEN_ALIGN_MAX Scalar array2[4];
EIGEN_ALIGN_MAX Scalar array3[4+1];
Scalar* arrayunaligned = array3+1;
QuaternionA *q1 = ::new(reinterpret_cast<void*>(array1)) QuaternionA;
@ -247,7 +247,7 @@ template<typename Scalar> void quaternionAlignment(void){
VERIFY_IS_APPROX(q1->coeffs(), q2->coeffs());
VERIFY_IS_APPROX(q1->coeffs(), q3->coeffs());
#if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
#if defined(EIGEN_VECTORIZE) && EIGEN_MAX_STATIC_ALIGN_BYTES>0
if(internal::packet_traits<Scalar>::Vectorizable && internal::packet_traits<Scalar>::size<=4)
VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(arrayunaligned)) QuaternionA));
#endif

8
test/geo_transformations.cpp
View File

@ -470,9 +470,9 @@ template<typename Scalar> void transform_alignment()
typedef Transform<Scalar,3,Projective,AutoAlign> Projective3a;
typedef Transform<Scalar,3,Projective,DontAlign> Projective3u;
EIGEN_ALIGN_DEFAULT Scalar array1[16];
EIGEN_ALIGN_DEFAULT Scalar array2[16];
EIGEN_ALIGN_DEFAULT Scalar array3[16+1];
EIGEN_ALIGN_MAX Scalar array1[16];
EIGEN_ALIGN_MAX Scalar array2[16];
EIGEN_ALIGN_MAX Scalar array3[16+1];
Scalar* array3u = array3+1;
Projective3a *p1 = ::new(reinterpret_cast<void*>(array1)) Projective3a;
@ -488,7 +488,7 @@ template<typename Scalar> void transform_alignment()
VERIFY_IS_APPROX( (*p1) * (*p1), (*p2)*(*p3));
#if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
#if defined(EIGEN_VECTORIZE) && EIGEN_MAX_STATIC_ALIGN_BYTES>0
if(internal::packet_traits<Scalar>::Vectorizable)
VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(array3u)) Projective3a));
#endif

6
test/mapped_matrix.cpp
View File

@ -25,7 +25,7 @@ template<typename VectorType> void map_class_vector(const VectorType& m)
Scalar* array1 = internal::aligned_new<Scalar>(size);
Scalar* array2 = internal::aligned_new<Scalar>(size);
Scalar* array3 = new Scalar[size+1];
Scalar* array3unaligned = size_t(array3)%EIGEN_ALIGN_BYTES == 0 ? array3+1 : array3;
Scalar* array3unaligned = size_t(array3)%EIGEN_MAX_ALIGN_BYTES == 0 ? array3+1 : array3;
Scalar array4[EIGEN_TESTMAP_MAX_SIZE];
Map<VectorType, Aligned>(array1, size) = VectorType::Random(size);
@ -65,7 +65,7 @@ template<typename MatrixType> void map_class_matrix(const MatrixType& m)
// array3unaligned -> unaligned pointer to heap
Scalar* array3 = new Scalar[size+1];
for(int i = 0; i < size+1; i++) array3[i] = Scalar(1);
Scalar* array3unaligned = size_t(array3)%EIGEN_ALIGN_BYTES == 0 ? array3+1 : array3;
Scalar* array3unaligned = size_t(array3)%EIGEN_MAX_ALIGN_BYTES == 0 ? array3+1 : array3;
Scalar array4[256];
if(size<=256)
for(int i = 0; i < size; i++) array4[i] = Scalar(1);
@ -129,7 +129,7 @@ template<typename VectorType> void map_static_methods(const VectorType& m)
Scalar* array1 = internal::aligned_new<Scalar>(size);
Scalar* array2 = internal::aligned_new<Scalar>(size);
Scalar* array3 = new Scalar[size+1];
Scalar* array3unaligned = size_t(array3)%EIGEN_ALIGN_BYTES == 0 ? array3+1 : array3;
Scalar* array3unaligned = size_t(array3)%EIGEN_MAX_ALIGN_BYTES == 0 ? array3+1 : array3;
VectorType::MapAligned(array1, size) = VectorType::Random(size);
VectorType::Map(array2, size) = VectorType::Map(array1, size);

2
test/mapstride.cpp
View File

@ -70,7 +70,7 @@ template<int Alignment,typename MatrixType> void map_class_matrix(const MatrixTy
if(Alignment!=Aligned)
array2 = (Scalar*)(std::ptrdiff_t(a_array2) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
else
array2 = (Scalar*)(((std::size_t(a_array2)+EIGEN_ALIGN_BYTES-1)/EIGEN_ALIGN_BYTES)*EIGEN_ALIGN_BYTES);
array2 = (Scalar*)(((std::size_t(a_array2)+EIGEN_MAX_ALIGN_BYTES-1)/EIGEN_MAX_ALIGN_BYTES)*EIGEN_MAX_ALIGN_BYTES);
Index maxsize2 = a_array2 - array2 + 256;
// test no inner stride and some dynamic outer stride

36
test/packetmath.cpp
View File

@ -106,10 +106,10 @@ template<typename Scalar> void packetmath()
const int max_size = PacketSize > 4 ? PacketSize : 4;
const int size = PacketSize*max_size;
EIGEN_ALIGN_DEFAULT Scalar data1[size];
EIGEN_ALIGN_DEFAULT Scalar data2[size];
EIGEN_ALIGN_DEFAULT Packet packets[PacketSize*2];
EIGEN_ALIGN_DEFAULT Scalar ref[size];
EIGEN_ALIGN_MAX Scalar data1[size];
EIGEN_ALIGN_MAX Scalar data2[size];
EIGEN_ALIGN_MAX Packet packets[PacketSize*2];
EIGEN_ALIGN_MAX Scalar ref[size];
RealScalar refvalue = 0;
for (int i=0; i<size; ++i)
{
@ -265,13 +265,13 @@ template<typename Scalar> void packetmath()
if (internal::packet_traits<Scalar>::HasBlend) {
Packet thenPacket = internal::pload<Packet>(data1);
Packet elsePacket = internal::pload<Packet>(data2);
EIGEN_ALIGN_DEFAULT internal::Selector<PacketSize> selector;
EIGEN_ALIGN_MAX internal::Selector<PacketSize> selector;
for (int i = 0; i < PacketSize; ++i) {
selector.select[i] = i;
}
Packet blend = internal::pblend(selector, thenPacket, elsePacket);
EIGEN_ALIGN_DEFAULT Scalar result[size];
EIGEN_ALIGN_MAX Scalar result[size];
internal::pstore(result, blend);
for (int i = 0; i < PacketSize; ++i) {
VERIFY(isApproxAbs(result[i], (selector.select[i] ? data1[i] : data2[i]), refvalue));
@ -286,9 +286,9 @@ template<typename Scalar> void packetmath_real()
const int PacketSize = internal::packet_traits<Scalar>::size;
const int size = PacketSize*4;
EIGEN_ALIGN_DEFAULT Scalar data1[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_DEFAULT Scalar data2[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_DEFAULT Scalar ref[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar data1[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar data2[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar ref[internal::packet_traits<Scalar>::size*4];
for (int i=0; i<size; ++i)
{
@ -392,9 +392,9 @@ template<typename Scalar> void packetmath_notcomplex()
typedef typename internal::packet_traits<Scalar>::type Packet;
const int PacketSize = internal::packet_traits<Scalar>::size;
EIGEN_ALIGN_DEFAULT Scalar data1[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_DEFAULT Scalar data2[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_DEFAULT Scalar ref[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar data1[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar data2[internal::packet_traits<Scalar>::size*4];
EIGEN_ALIGN_MAX Scalar ref[internal::packet_traits<Scalar>::size*4];
Array<Scalar,Dynamic,1>::Map(data1, internal::packet_traits<Scalar>::size*4).setRandom();
@ -452,10 +452,10 @@ template<typename Scalar> void packetmath_complex()
const int PacketSize = internal::packet_traits<Scalar>::size;
const int size = PacketSize*4;
EIGEN_ALIGN_DEFAULT Scalar data1[PacketSize*4];
EIGEN_ALIGN_DEFAULT Scalar data2[PacketSize*4];
EIGEN_ALIGN_DEFAULT Scalar ref[PacketSize*4];
EIGEN_ALIGN_DEFAULT Scalar pval[PacketSize*4];
EIGEN_ALIGN_MAX Scalar data1[PacketSize*4];
EIGEN_ALIGN_MAX Scalar data2[PacketSize*4];
EIGEN_ALIGN_MAX Scalar ref[PacketSize*4];
EIGEN_ALIGN_MAX Scalar pval[PacketSize*4];
for (int i=0; i<size; ++i)
{
@ -480,7 +480,7 @@ template<typename Scalar> void packetmath_scatter_gather() {
typedef typename internal::packet_traits<Scalar>::type Packet;
typedef typename NumTraits<Scalar>::Real RealScalar;
const int PacketSize = internal::packet_traits<Scalar>::size;
EIGEN_ALIGN_DEFAULT Scalar data1[PacketSize];
EIGEN_ALIGN_MAX Scalar data1[PacketSize];
RealScalar refvalue = 0;
for (int i=0; i<PacketSize; ++i) {
data1[i] = internal::random<Scalar>()/RealScalar(PacketSize);
@ -488,7 +488,7 @@ template<typename Scalar> void packetmath_scatter_gather() {
int stride = internal::random<int>(1,20);
EIGEN_ALIGN_DEFAULT Scalar buffer[PacketSize*20];
EIGEN_ALIGN_MAX Scalar buffer[PacketSize*20];
memset(buffer, 0, 20*sizeof(Packet));
Packet packet = internal::pload<Packet>(data1);
internal::pscatter<Scalar, Packet>(buffer, packet, stride);

2
unsupported/Eigen/CXX11/src/Tensor/Tensor.h
View File

@ -75,7 +75,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
typedef typename Base::PacketReturnType PacketReturnType;
enum {
IsAligned = bool(EIGEN_ALIGN) & !(Options_&DontAlign),
IsAligned = bool(EIGEN_MAX_ALIGN_BYTES>0) & !(Options_&DontAlign),
PacketAccess = (internal::packet_traits<Scalar>::size > 1),
Layout = Options_ & RowMajor ? RowMajor : ColMajor,
CoordAccess = true,

4
unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
View File

@ -262,7 +262,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
if (innermostLoc + packetSize <= m_impl.dimensions()[0]) {
return m_impl.template packet<Unaligned>(inputIndex);
} else {
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
values[0] = m_impl.coeff(inputIndex);
for (int i = 1; i < packetSize; ++i) {
values[i] = coeffColMajor(originalIndex+i);
@ -315,7 +315,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
if (innermostLoc + packetSize <= m_impl.dimensions()[NumDims-1]) {
return m_impl.template packet<Unaligned>(inputIndex);
} else {
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
values[0] = m_impl.coeff(inputIndex);
for (int i = 1; i < packetSize; ++i) {
values[i] = coeffRowMajor(originalIndex+i);

8
unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
View File

@ -213,7 +213,7 @@ struct TensorEvaluator<const TensorChippingOp<DimId, ArgType>, Device>
// m_stride is equal to 1, so let's avoid the integer division.
eigen_assert(m_stride == 1);
Index inputIndex = index * m_inputStride + m_inputOffset;
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = m_impl.coeff(inputIndex);
inputIndex += m_inputStride;
@ -233,7 +233,7 @@ struct TensorEvaluator<const TensorChippingOp<DimId, ArgType>, Device>
return m_impl.template packet<LoadMode>(inputIndex);
} else {
// Cross the stride boundary. Fallback to slow path.
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index);
++index;
@ -328,7 +328,7 @@ struct TensorEvaluator<TensorChippingOp<DimId, ArgType>, Device>
(static_cast<int>(this->Layout) == static_cast<int>(RowMajor) && this->m_dim.actualDim() == NumInputDims-1)) {
// m_stride is equal to 1, so let's avoid the integer division.
eigen_assert(this->m_stride == 1);
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
Index inputIndex = index * this->m_inputStride + this->m_inputOffset;
for (int i = 0; i < packetSize; ++i) {
@ -348,7 +348,7 @@ struct TensorEvaluator<TensorChippingOp<DimId, ArgType>, Device>
this->m_impl.template writePacket<StoreMode>(inputIndex, x);
} else {
// Cross stride boundary. Fallback to slow path.
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
for (int i = 0; i < packetSize; ++i) {
this->coeffRef(index) = values[i];

4
unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
View File

@ -253,7 +253,7 @@ struct TensorEvaluator<const TensorConcatenationOp<Axis, LeftArgType, RightArgTy
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index + packetSize - 1 < dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
EIGEN_ALIGN_MAX CoeffReturnType values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}
@ -333,7 +333,7 @@ template<typename Axis, typename LeftArgType, typename RightArgType, typename De
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index + packetSize - 1 < this->dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
EIGEN_ALIGN_MAX CoeffReturnType values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
for (int i = 0; i < packetSize; ++i) {
coeffRef(index+i) = values[i];

6
unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
View File

@ -291,7 +291,7 @@ class TensorContractionInputMapper
return this->m_tensor.template packet<Alignment>(first);
}
EIGEN_ALIGN_DEFAULT Scalar data[packet_size];
EIGEN_ALIGN_MAX Scalar data[packet_size];
data[0] = this->m_tensor.coeff(first);
for (Index k = 1; k < packet_size - 1; k += 2) {
@ -313,7 +313,7 @@ class TensorContractionInputMapper
if (half_packet_size == packet_size) {
return loadPacket(i, j);
}
EIGEN_ALIGN_DEFAULT Scalar data[half_packet_size];
EIGEN_ALIGN_MAX Scalar data[half_packet_size];
for (Index k = 0; k < half_packet_size; k++) {
data[k] = operator()(i + k, j);
}
@ -355,7 +355,7 @@ class TensorContractionInputMapper<Scalar, Index, side, Tensor, nocontract_t, co
typedef typename packet_traits<Scalar>::type Packet;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Packet loadPacket(Index i, Index j) const {
EIGEN_ALIGN_DEFAULT Scalar data[1];
EIGEN_ALIGN_MAX Scalar data[1];
data[0] = this->m_tensor.coeff(this->computeIndex(i, j));
return pload<typename packet_traits<Scalar>::type>(data);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h
View File

@ -101,7 +101,7 @@ struct PacketConverter<TensorEvaluator, SrcPacket, TgtPacket, 1, 2> {
return internal::pcast<SrcPacket, TgtPacket>(m_impl.template packet<Unaligned>(index));
} else {
const int TgtPacketSize = internal::unpacket_traits<TgtPacket>::size;
EIGEN_ALIGN_DEFAULT typename internal::unpacket_traits<TgtPacket>::type values[TgtPacketSize];
EIGEN_ALIGN_MAX typename internal::unpacket_traits<TgtPacket>::type values[TgtPacketSize];
for (int i = 0; i < TgtPacketSize; ++i) {
values[i] = m_impl.coeff(index+i);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
View File

@ -438,7 +438,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
convolvePacket(startInputs[0], 0, NumKernelDims-1, result);
return result;
} else {
EIGEN_ALIGN_DEFAULT Scalar data[PacketSize];
EIGEN_ALIGN_MAX Scalar data[PacketSize];
data[0] = Scalar(0);
convolve(startInputs[0], 0, NumKernelDims-1, data[0]);
for (int i = 1; i < PacketSize-1; ++i) {

2
unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
View File

@ -40,7 +40,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
static const int Options = Options_;
enum {
IsAligned = bool(EIGEN_ALIGN),
IsAligned = bool(EIGEN_MAX_ALIGN_BYTES>0),
PacketAccess = (internal::packet_traits<Scalar>::size > 1),
Layout = Options_ & RowMajor ? RowMajor : ColMajor,
CoordAccess = true,

8
unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
View File

@ -265,7 +265,7 @@ template <typename T> class UniformRandomGenerator {
template<typename Index>
typename internal::packet_traits<T>::type packetOp(Index, Index = 0) const {
const int packetSize = internal::packet_traits<T>::size;
EIGEN_ALIGN_DEFAULT T values[packetSize];
EIGEN_ALIGN_MAX T values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = random<T>();
}
@ -298,7 +298,7 @@ template <> class UniformRandomGenerator<float> {
template<typename Index>
typename internal::packet_traits<float>::type packetOp(Index i, Index j = 0) const {
const int packetSize = internal::packet_traits<float>::size;
EIGEN_ALIGN_DEFAULT float values[packetSize];
EIGEN_ALIGN_MAX float values[packetSize];
for (int k = 0; k < packetSize; ++k) {
values[k] = this->operator()(i, j);
}
@ -335,7 +335,7 @@ template <> class UniformRandomGenerator<double> {
template<typename Index>
typename internal::packet_traits<double>::type packetOp(Index i, Index j = 0) const {
const int packetSize = internal::packet_traits<double>::size;
EIGEN_ALIGN_DEFAULT double values[packetSize];
EIGEN_ALIGN_MAX double values[packetSize];
for (int k = 0; k < packetSize; ++k) {
values[k] = this->operator()(i, j);
}
@ -495,7 +495,7 @@ template <typename T> class NormalRandomGenerator {
template<typename Index>
typename internal::packet_traits<T>::type packetOp(Index, Index = 0) const {
const int packetSize = internal::packet_traits<T>::size;
EIGEN_ALIGN_DEFAULT T values[packetSize];
EIGEN_ALIGN_MAX T values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = m_distribution(m_generator);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
View File

@ -141,7 +141,7 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index+packetSize-1 < dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h
View File

@ -493,7 +493,7 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetWithPossibleZero(Index index) const
{
const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorInflation.h
View File

@ -195,7 +195,7 @@ struct TensorEvaluator<const TensorInflationOp<Strides, ArgType>, Device>
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index+packetSize-1 < dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
View File

@ -595,7 +595,7 @@ struct TensorEvaluator<TensorSlicingOp<StartIndices, Sizes, ArgType>, Device>
this->m_impl.template writePacket<StoreMode>(inputIndices[0], x);
}
else {
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
EIGEN_ALIGN_MAX CoeffReturnType values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
this->m_impl.coeffRef(inputIndices[0]) = values[0];
this->m_impl.coeffRef(inputIndices[1]) = values[packetSize-1];

2
unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
View File

@ -342,7 +342,7 @@ struct TensorEvaluator<const TensorPaddingOp<PaddingDimensions, ArgType>, Device
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetWithPossibleZero(Index index) const
{
const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}

2
unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
View File

@ -236,7 +236,7 @@ struct TensorEvaluator<const TensorPatchOp<PatchDim, ArgType>, Device>
return rslt;
}
else {
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
EIGEN_ALIGN_MAX CoeffReturnType values[packetSize];
values[0] = m_impl.coeff(inputIndices[0]);
values[packetSize-1] = m_impl.coeff(inputIndices[1]);
for (int i = 1; i < packetSize-1; ++i) {

2
unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
View File

@ -694,7 +694,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device>
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index + packetSize - 1 < dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
if (ReducingInnerMostDims) {
const Index num_values_to_reduce =
(static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? m_preservedStrides[0] : m_preservedStrides[NumOutputDims - 1];

4
unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
View File

@ -200,7 +200,7 @@ struct TensorEvaluator<const TensorReverseOp<ReverseDimensions, ArgType>, Device
// TODO(ndjaitly): write a better packing routine that uses
// local structure.
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type
values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
@ -259,7 +259,7 @@ struct TensorEvaluator<TensorReverseOp<ReverseDimensions, ArgType>, Device>
eigen_assert(index+packetSize-1 < dimensions().TotalSize());
// This code is pilfered from TensorMorphing.h
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
EIGEN_ALIGN_MAX CoeffReturnType values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
for (int i = 0; i < packetSize; ++i) {
this->coeffRef(index+i) = values[i];

4
unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
View File

@ -172,7 +172,7 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index+packetSize-1 < dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}
@ -245,7 +245,7 @@ struct TensorEvaluator<TensorShufflingOp<Shuffle, ArgType>, Device>
static const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
for (int i = 0; i < packetSize; ++i) {
this->coeffRef(index+i) = values[i];

2
unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
View File

@ -41,7 +41,7 @@ class TensorStorage<T, FixedDimensions, Options_>
private:
static const std::size_t Size = FixedDimensions::total_size;
EIGEN_ALIGN_DEFAULT T m_data[Size];
EIGEN_ALIGN_MAX T m_data[Size];
FixedDimensions m_dimensions;
public:

4
unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h
View File

@ -200,7 +200,7 @@ struct TensorEvaluator<const TensorStridingOp<Strides, ArgType>, Device>
return rslt;
}
else {
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
values[0] = m_impl.coeff(inputIndices[0]);
values[packetSize-1] = m_impl.coeff(inputIndices[1]);
for (int i = 1; i < packetSize-1; ++i) {
@ -308,7 +308,7 @@ struct TensorEvaluator<TensorStridingOp<Strides, ArgType>, Device>
this->m_impl.template writePacket<Unaligned>(inputIndices[0], x);
}
else {
EIGEN_ALIGN_DEFAULT Scalar values[packetSize];
EIGEN_ALIGN_MAX Scalar values[packetSize];
internal::pstore<Scalar, PacketReturnType>(values, x);
this->m_impl.coeffRef(inputIndices[0]) = values[0];
this->m_impl.coeffRef(inputIndices[1]) = values[packetSize-1];

4
unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
View File

@ -23,13 +23,13 @@ class compute_tensor_flags
aligned_bit =
(
((Options&DontAlign)==0) && (
#if EIGEN_ALIGN_STATICALLY
#if EIGEN_MAX_STATIC_ALIGN_BYTES>0
(!is_dynamic_size_storage)
#else
0
#endif
||
#if EIGEN_ALIGN
#if EIGEN_MAX_ALIGN_BYTES>0
is_dynamic_size_storage
#else
0

2
unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h
View File

@ -594,7 +594,7 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetWithPossibleZero(Index index) const
{
const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize];
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = coeff(index+i);
}

2
unsupported/test/cxx11_tensor_random.cpp
View File

@ -51,7 +51,7 @@ struct MyGenerator {
typename internal::packet_traits<int>::type packetOp(
Eigen::DenseIndex packet_location, Eigen::DenseIndex /*unused*/ = 0) const {
const int packetSize = internal::packet_traits<int>::size;
EIGEN_ALIGN_DEFAULT int values[packetSize];
EIGEN_ALIGN_MAX int values[packetSize];
for (int i = 0; i < packetSize; ++i) {
values[i] = static_cast<int>(3 * (packet_location + i));
}