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

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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
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10
unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
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@@ -30,7 +30,7 @@ struct traits<TensorReverseOp<ReverseDimensions,
typedef typename XprTraits::StorageKind StorageKind;
typedef typename XprTraits::Index Index;
typedef typename XprType::Nested Nested;
typedef typename remove_reference<Nested>::type Nested_;
typedef std::remove_reference_t<Nested> Nested_;
static const int NumDimensions = XprTraits::NumDimensions;
static const int Layout = XprTraits::Layout;
typedef typename XprTraits::PointerType PointerType;
@@ -73,7 +73,7 @@ class TensorReverseOp : public TensorBase<TensorReverseOp<ReverseDimensions,
const ReverseDimensions& reverse() const { return m_reverse_dims; }
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename XprType::Nested>::type&
const internal::remove_all_t<typename XprType::Nested>&
expression() const { return m_xpr; }
EIGEN_TENSOR_INHERIT_ASSIGNMENT_OPERATORS(TensorReverseOp)
@@ -99,12 +99,12 @@ struct TensorEvaluator<const TensorReverseOp<ReverseDimensions, ArgType>, Device
typedef StorageMemory<CoeffReturnType, Device> Storage;
typedef typename Storage::Type EvaluatorPointerType;
static constexpr int Layout = TensorEvaluator<ArgType, Device>::Layout;
enum {
IsAligned = false,
PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
BlockAccess = NumDims > 0,
PreferBlockAccess = true,
Layout = TensorEvaluator<ArgType, Device>::Layout,
CoordAccess = false, // to be implemented
RawAccess = false
};
@@ -219,7 +219,7 @@ struct TensorEvaluator<const TensorReverseOp<ReverseDimensions, ArgType>, Device
// TODO(ndjaitly): write a better packing routine that uses
// local structure.
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type
EIGEN_ALIGN_MAX std::remove_const_t<CoeffReturnType>
values[PacketSize];
EIGEN_UNROLL_LOOP
for (int i = 0; i < PacketSize; ++i) {
@@ -417,12 +417,12 @@ struct TensorEvaluator<TensorReverseOp<ReverseDimensions, ArgType>, Device>
static const int NumDims = internal::array_size<ReverseDimensions>::value;
typedef DSizes<Index, NumDims> Dimensions;
static constexpr int Layout = TensorEvaluator<ArgType, Device>::Layout;
enum {
IsAligned = false,
PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
BlockAccess = false,
PreferBlockAccess = false,
Layout = TensorEvaluator<ArgType, Device>::Layout,
CoordAccess = false, // to be implemented
RawAccess = false
};