Make EIGEN_HAS_VARIADIC_TEMPLATES user configurable

This commit is contained in:
Gael Guennebaud 2016-05-20 15:05:38 +02:00
parent abd1c1af7a
commit c3410804cd
14 changed files with 33 additions and 30 deletions

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@ -381,11 +381,14 @@
#endif
// Does the compiler support variadic templates?
#if EIGEN_MAX_CPP_VER>=11 && (__cplusplus > 199711L || EIGEN_COMP_MSVC >= 1900)
// Disable the use of variadic templates when compiling with nvcc on ARM devices:
#ifndef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_MAX_CPP_VER>=11 && (__cplusplus > 199711L || EIGEN_COMP_MSVC >= 1900) \
&& ( !defined(__NVCC__) || !EIGEN_ARCH_ARM_OR_ARM64 )
// ^^ Disable the use of variadic templates when compiling with nvcc on ARM devices:
// this prevents nvcc from crashing when compiling Eigen on Tegra X1
#if !defined(__NVCC__) || !EIGEN_ARCH_ARM_OR_ARM64
#define EIGEN_HAS_VARIADIC_TEMPLATES 1
#else
#define EIGEN_HAS_VARIADIC_TEMPLATES 0
#endif
#endif

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@ -110,7 +110,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
inline Self& base() { return *this; }
inline const Self& base() const { return *this; }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC inline const Scalar& coeff(Index firstIndex, Index secondIndex, IndexTypes... otherIndices) const
{
@ -150,7 +150,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
return m_storage.data()[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline Scalar& coeffRef(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)
{
@ -190,7 +190,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
return m_storage.data()[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline const Scalar& operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices) const
{
@ -257,7 +257,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
return coeff(index);
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
inline Scalar& operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)
{
@ -336,7 +336,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
{
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index firstDimension, IndexTypes... otherDimensions)
: m_storage(firstDimension, otherDimensions...)
@ -418,7 +418,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_, IndexTyp
return *this;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
void resize(Index firstDimension, IndexTypes... otherDimensions)
{

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@ -780,7 +780,7 @@ class TensorBase<Derived, WriteAccessors> : public TensorBase<Derived, ReadOnlyA
return derived() = this->template random<RandomGenerator>();
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& setValues(
const typename internal::Initializer<Derived, NumDimensions>::InitList& vals) {

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@ -115,7 +115,7 @@ struct Sizes : internal::numeric_list<std::ptrdiff_t, Indices...> {
explicit EIGEN_DEVICE_FUNC Sizes(const array<DenseIndex, Base::count>& /*indices*/) {
// todo: add assertion
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template <typename... DenseIndex> EIGEN_DEVICE_FUNC Sizes(DenseIndex...) { }
explicit EIGEN_DEVICE_FUNC Sizes(std::initializer_list<std::ptrdiff_t> /*l*/) {
// todo: add assertion
@ -182,7 +182,7 @@ template <std::size_t V1=0, std::size_t V2=0, std::size_t V3=0, std::size_t V4=0
return *this;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template <typename... DenseIndex> Sizes(DenseIndex... /*indices*/) { }
explicit Sizes(std::initializer_list<std::size_t>) {
// todo: add assertion
@ -290,7 +290,7 @@ struct DSizes : array<DenseIndex, NumDims> {
(*this)[0] = i0;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE explicit DSizes(DenseIndex firstDimension, DenseIndex secondDimension, IndexTypes... otherDimensions) : Base({{firstDimension, secondDimension, otherDimensions...}}) {
EIGEN_STATIC_ASSERT(sizeof...(otherDimensions) + 2 == NumDims, YOU_MADE_A_PROGRAMMING_MISTAKE)

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@ -65,7 +65,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
inline Self& base() { return *this; }
inline const Self& base() const { return *this; }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, IndexTypes... otherIndices) const
{
@ -97,7 +97,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& coeffRef(Index firstIndex, IndexTypes... otherIndices)
{
@ -128,7 +128,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
return m_storage.data()[0];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, IndexTypes... otherIndices) const
{
@ -213,7 +213,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
return coeff(index);
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& operator()(Index firstIndex, IndexTypes... otherIndices)
{

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@ -10,7 +10,7 @@
#ifndef EIGEN_CXX11_TENSOR_TENSOR_INDEX_LIST_H
#define EIGEN_CXX11_TENSOR_TENSOR_INDEX_LIST_H
#if defined(EIGEN_HAS_CONSTEXPR) && defined(EIGEN_HAS_VARIADIC_TEMPLATES)
#if defined(EIGEN_HAS_CONSTEXPR) && EIGEN_HAS_VARIADIC_TEMPLATES
#define EIGEN_HAS_INDEX_LIST

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@ -10,7 +10,7 @@
#ifndef EIGEN_CXX11_TENSOR_TENSOR_INITIALIZER_H
#define EIGEN_CXX11_TENSOR_TENSOR_INITIALIZER_H
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
#include <initializer_list>

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@ -28,7 +28,7 @@
// SFINAE requires variadic templates
#ifndef __CUDACC__
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
// SFINAE doesn't work for gcc <= 4.7
#ifdef EIGEN_COMP_GNUC
#if EIGEN_GNUC_AT_LEAST(4,8)

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@ -57,7 +57,7 @@ template<typename PlainObjectType, int Options_> class TensorMap : public Tensor
EIGEN_STATIC_ASSERT((0 == NumIndices || NumIndices == Dynamic), YOU_MADE_A_PROGRAMMING_MISTAKE)
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorMap(PointerArgType dataPtr, Index firstDimension, IndexTypes... otherDimensions) : m_data(dataPtr), m_dimensions(firstDimension, otherDimensions...) {
// The number of dimensions used to construct a tensor must be equal to the rank of the tensor.
@ -140,7 +140,7 @@ template<typename PlainObjectType, int Options_> class TensorMap : public Tensor
return m_data[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices) const
{
@ -227,7 +227,7 @@ template<typename PlainObjectType, int Options_> class TensorMap : public Tensor
return m_data[index];
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Scalar& operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)
{

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@ -87,7 +87,7 @@ struct preserve_inner_most_dims {
static const bool value = false;
};
#if defined(EIGEN_HAS_CONSTEXPR) && defined(EIGEN_HAS_VARIADIC_TEMPLATES)
#if defined(EIGEN_HAS_CONSTEXPR) && EIGEN_HAS_VARIADIC_TEMPLATES
template <typename ReducedDims, int NumTensorDims>
struct are_inner_most_dims<ReducedDims, NumTensorDims, ColMajor>{
static const bool tmp1 = indices_statically_known_to_increase<ReducedDims>();

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@ -193,7 +193,7 @@ template<typename PlainObjectType> class TensorRef : public TensorBase<TensorRef
return m_evaluator->coeff(index);
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes> EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const Scalar operator()(Index firstIndex, IndexTypes... otherIndices) const
{

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@ -85,7 +85,7 @@ class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_>
: m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size)), m_dimensions(dimensions)
{ EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
template <typename... DenseIndex>
EIGEN_DEVICE_FUNC TensorStorage(DenseIndex... indices) : m_dimensions(indices...) {
m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(m_dimensions));

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@ -117,7 +117,7 @@ template <typename T, size_t n> class array {
values[7] = v8;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(std::initializer_list<T> l) {
eigen_assert(l.size() == n);
@ -167,7 +167,7 @@ template <typename T> class array<T, 0> {
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array() : dummy() { }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
EIGEN_DEVICE_FUNC array(std::initializer_list<T> l) : dummy() {
eigen_assert(l.size() == 0);
}

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@ -286,7 +286,7 @@ static void test_compound_assign()
}
static void test_std_initializers_tensor() {
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
#if EIGEN_HAS_VARIADIC_TEMPLATES
Tensor<int, 1> a(3);
a.setValues({0, 1, 2});
VERIFY_IS_EQUAL(a(0), 0);