mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-07-20 03:44:26 +08:00
Moved some utilities to TensorMeta.h to make it easier to reuse them accross several tensor operations.
Created the TensorDimensionList class to encode the list of all the dimensions of a tensor of rank n. This could be done using TensorIndexList, however TensorIndexList require cxx11 which isn't yet supported as widely as we'd like.
This commit is contained in:
parent
392a30db82
commit
3625734bc8
@ -351,12 +351,33 @@ template<typename Scalar> void packetmath_real()
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CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasLog, std::log, internal::plog);
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{
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data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
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data1[1] = std::numeric_limits<Scalar>::epsilon();
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packet_helper<internal::packet_traits<Scalar>::HasLog,Packet> h;
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h.store(data2, internal::plog(h.load(data1)));
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VERIFY(numext::isnan(data2[0]));
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VERIFY(std::isnan(data2[0]));
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// VERIFY_IS_EQUAL(std::log(std::numeric_limits<Scalar>::epsilon()), data2[1]);
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data1[0] = -std::numeric_limits<Scalar>::epsilon();
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data1[1] = 0;
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h.store(data2, internal::plog(h.load(data1)));
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VERIFY(std::isnan(data2[0]));
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// VERIFY_IS_EQUAL(std::log(0), data2[1]);
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data1[0] = (std::numeric_limits<Scalar>::min)();
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data1[1] = -(std::numeric_limits<Scalar>::min)();
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h.store(data2, internal::plog(h.load(data1)));
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VERIFY_IS_EQUAL(std::log((std::numeric_limits<Scalar>::min)()), data2[0]);
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// VERIFY(std::isnan(data2[1]));
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data1[0] = std::numeric_limits<Scalar>::denorm_min();
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data1[1] = -std::numeric_limits<Scalar>::denorm_min();
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h.store(data2, internal::plog(h.load(data1)));
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// VERIFY_IS_EQUAL(std::log(std::numeric_limits<Scalar>::denorm_min()), data2[0]);
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// VERIFY(std::isnan(data2[1]));
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data1[0] = -1.0f;
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h.store(data2, internal::plog(h.load(data1)));
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VERIFY(numext::isnan(data2[0]));
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VERIFY(std::isnan(data2[0]));
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#if !EIGEN_FAST_MATH
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h.store(data2, internal::psqrt(h.load(data1)));
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VERIFY(numext::isnan(data2[0]));
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@ -59,8 +59,10 @@
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#include "Eigen/Core"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorDeviceType.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorIndexList.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorInitializer.h"
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#include "unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h"
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@ -364,14 +364,6 @@ class TensorContractionInputMapper<Scalar, Index, side, Tensor, nocontract_t, co
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};
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template <size_t n> struct max_n_1 {
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static const size_t size = n;
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};
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template <> struct max_n_1<0> {
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static const size_t size = 1;
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};
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template<typename Dimensions, typename LhsXprType, typename RhsXprType>
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struct traits<TensorContractionOp<Dimensions, LhsXprType, RhsXprType> >
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{
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@ -459,19 +451,6 @@ class TensorContractionOp : public TensorBase<TensorContractionOp<Indices, LhsXp
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};
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template<bool cond> struct Cond {};
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template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
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const T1& choose(Cond<true>, const T1& first, const T2&) {
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return first;
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}
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template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
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const T2& choose(Cond<false>, const T1&, const T2& second) {
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return second;
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}
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template<typename Derived>
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struct TensorContractionEvaluatorBase
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{
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@ -508,13 +487,13 @@ struct TensorContractionEvaluatorBase
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static const int RDims =
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internal::array_size<typename TensorEvaluator<EvalRightArgType, Device>::Dimensions>::value;
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static const unsigned int ContractDims = internal::array_size<Indices>::value;
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static const int NumDims = internal::max_n_1<LDims + RDims - 2 * ContractDims>::size;
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static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
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typedef array<Index, LDims> left_dim_mapper_t;
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typedef array<Index, RDims> right_dim_mapper_t;
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typedef array<Index, ContractDims> contract_t;
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typedef array<Index, internal::max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, internal::max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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typedef array<Index, max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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typedef DSizes<Index, NumDims> Dimensions;
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@ -869,10 +848,10 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
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typedef array<Index, RDims> right_dim_mapper_t;
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typedef array<Index, ContractDims> contract_t;
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typedef array<Index, internal::max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, internal::max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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typedef array<Index, max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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static const int NumDims = internal::max_n_1<LDims + RDims - 2 * ContractDims>::size;
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static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
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// Could we use NumDimensions here?
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typedef DSizes<Index, NumDims> Dimensions;
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@ -1241,10 +1241,10 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
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typedef array<Index, RDims> right_dim_mapper_t;
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typedef array<Index, ContractDims> contract_t;
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typedef array<Index, internal::max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, internal::max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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typedef array<Index, max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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static const int NumDims = internal::max_n_1<LDims + RDims - 2 * ContractDims>::size;
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static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
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typedef DSizes<Index, NumDims> Dimensions;
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@ -93,10 +93,10 @@ struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgT
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typedef array<Index, RDims> right_dim_mapper_t;
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typedef array<Index, ContractDims> contract_t;
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typedef array<Index, internal::max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, internal::max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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typedef array<Index, max_n_1<LDims - ContractDims>::size> left_nocontract_t;
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typedef array<Index, max_n_1<RDims - ContractDims>::size> right_nocontract_t;
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static const int NumDims = internal::max_n_1<LDims + RDims - 2 * ContractDims>::size;
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static const int NumDims = max_n_1<LDims + RDims - 2 * ContractDims>::size;
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typedef DSizes<Index, NumDims> Dimensions;
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235
unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h
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235
unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h
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@ -0,0 +1,235 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_CXX11_TENSOR_TENSOR_DIMENSION_LIST_H
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#define EIGEN_CXX11_TENSOR_TENSOR_DIMENSION_LIST_H
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namespace Eigen {
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/** \internal
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*
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* \class TensorDimensionList
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* \ingroup CXX11_Tensor_Module
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*
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* \brief Special case of tensor index list used to list all the dimensions of a tensor of rank n.
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*
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* \sa Tensor
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*/
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template <typename Index, std::size_t Rank> struct DimensionList {
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const Index operator[] (const Index i) const { return i; }
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};
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namespace internal {
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template<typename Index, std::size_t Rank> struct array_size<DimensionList<Index, Rank> > {
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static const size_t value = Rank;
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};
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template<typename Index, std::size_t Rank> struct array_size<const DimensionList<Index, Rank> > {
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static const size_t value = Rank;
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};
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template<DenseIndex n, typename Index, std::size_t Rank> const Index array_get(DimensionList<Index, Rank>& a) {
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return n;
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}
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template<DenseIndex n, typename Index, std::size_t Rank> const Index array_get(const DimensionList<Index, Rank>& a) {
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return n;
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}
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#if defined(EIGEN_HAS_CONSTEXPR)
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template <typename Index, std::size_t Rank>
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struct index_known_statically<DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex) const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_known_statically<const DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex) const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct all_indices_known_statically<DimensionList<Index, Rank> > {
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constexpr bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct all_indices_known_statically<const DimensionList<Index, Rank> > {
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constexpr bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct indices_statically_known_to_increase<DimensionList<Index, Rank> > {
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constexpr bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct indices_statically_known_to_increase<const DimensionList<Index, Rank> > {
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constexpr bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_eq<DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i == value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_eq<const DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i == value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_ne<DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i != value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_ne<const DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i != value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_gt<DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i > value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_gt<const DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i > value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_lt<DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i < value;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_lt<const DimensionList<Index, Rank> > {
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constexpr bool operator() (const DenseIndex i, const DenseIndex value) const {
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return i < value;
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}
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};
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#else
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template <typename Index, std::size_t Rank>
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struct index_known_statically<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex) const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_known_statically<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex) const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct all_indices_known_statically<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct all_indices_known_statically<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct indices_statically_known_to_increase<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct indices_statically_known_to_increase<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() () const {
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return true;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_eq<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_eq<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_ne<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_ne<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_gt<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_gt<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_lt<DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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template <typename Index, std::size_t Rank>
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struct index_statically_lt<const DimensionList<Index, Rank> > {
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EIGEN_ALWAYS_INLINE bool operator() (const DenseIndex i, const DenseIndex value) const {
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return false;
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}
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};
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#endif
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} // end namespace internal
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} // end namespace Eigen
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#endif // EIGEN_CXX11_TENSOR_TENSOR_DIMENSION_LIST_H
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36
unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h
Normal file
36
unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h
Normal file
@ -0,0 +1,36 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_CXX11_TENSOR_TENSOR_META_H
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#define EIGEN_CXX11_TENSOR_TENSOR_META_H
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namespace Eigen {
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template<bool cond> struct Cond {};
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template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
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const T1& choose(Cond<true>, const T1& first, const T2&) {
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return first;
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}
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template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
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const T2& choose(Cond<false>, const T1&, const T2& second) {
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return second;
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}
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template <size_t n> struct max_n_1 {
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static const size_t size = n;
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};
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template <> struct max_n_1<0> {
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static const size_t size = 1;
|
||||
};
|
||||
|
||||
} // namespace Eigen
|
||||
|
||||
#endif // EIGEN_CXX11_TENSOR_TENSOR_META_H
|
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