devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Replace Eigen type metaprogramming with corresponding std types and make use of alias templates

Browse Source
This commit is contained in:
Erik Schultheis
2022-03-16 16:43:40 +00:00
committed by Antonio Sánchez
parent 514f90c9ff
commit 421cbf0866
191 changed files with 1147 additions and 1221 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
View File

@@ -229,12 +229,12 @@ struct traits<TensorConvolutionOp<Dimensions, InputXprType, KernelXprType> >
typename traits<KernelXprType>::Index>::type Index;
typedef typename InputXprType::Nested LhsNested;
typedef typename KernelXprType::Nested RhsNested;
typedef typename remove_reference<LhsNested>::type LhsNested_;
typedef typename remove_reference<RhsNested>::type RhsNested_;
typedef std::remove_reference_t<LhsNested> LhsNested_;
typedef std::remove_reference_t<RhsNested> RhsNested_;
static const int NumDimensions = traits<InputXprType>::NumDimensions;
static const int Layout = traits<InputXprType>::Layout;
typedef typename conditional<Pointer_type_promotion<typename InputXprType::Scalar, Scalar>::val,
typename traits<InputXprType>::PointerType, typename traits<KernelXprType>::PointerType>::type PointerType;
typedef std::conditional_t<Pointer_type_promotion<typename InputXprType::Scalar, Scalar>::val,
typename traits<InputXprType>::PointerType, typename traits<KernelXprType>::PointerType> PointerType;
enum {
Flags = 0
@@ -277,11 +277,11 @@ class TensorConvolutionOp : public TensorBase<TensorConvolutionOp<Indices, Input
/** \returns the nested expressions */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const typename internal::remove_all<typename InputXprType::Nested>::type&
const internal::remove_all_t<typename InputXprType::Nested>&
inputExpression() const { return m_input_xpr; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const typename internal::remove_all<typename KernelXprType::Nested>::type&
const internal::remove_all_t<typename KernelXprType::Nested>&
kernelExpression() const { return m_kernel_xpr; }
protected:
@@ -308,12 +308,12 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
typedef StorageMemory<Scalar, Device> Storage;
typedef typename Storage::Type EvaluatorPointerType;
static constexpr int Layout = TensorEvaluator<InputArgType, Device>::Layout;
enum {
IsAligned = int(TensorEvaluator<InputArgType, Device>::IsAligned) & int(TensorEvaluator<KernelArgType, Device>::IsAligned),
PacketAccess = int(TensorEvaluator<InputArgType, Device>::PacketAccess) & int(TensorEvaluator<KernelArgType, Device>::PacketAccess),
BlockAccess = false,
PreferBlockAccess = false,
Layout = TensorEvaluator<InputArgType, Device>::Layout,
CoordAccess = false, // to be implemented
RawAccess = false
};
@@ -785,12 +785,12 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
typedef DSizes<Index, NumDims> Dimensions;
typedef typename TensorEvaluator<KernelArgType, GpuDevice>::Dimensions KernelDimensions;
static constexpr int Layout = TensorEvaluator<InputArgType, GpuDevice>::Layout;
enum {
IsAligned = TensorEvaluator<InputArgType, GpuDevice>::IsAligned & TensorEvaluator<KernelArgType, GpuDevice>::IsAligned,
PacketAccess = false,
BlockAccess = false,
PreferBlockAccess = false,
Layout = TensorEvaluator<InputArgType, GpuDevice>::Layout,
CoordAccess = false, // to be implemented
RawAccess = false
};