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Use integers instead of std::size_t to encode the number of dimensions in the Tensor class since most of the code currently already use integers.

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This commit is contained in:
Benoit Steiner
2015-12-04 10:15:11 -08:00
parent d20efc974d
commit 490d26e4c1
4 changed files with 15 additions and 15 deletions
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6
unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
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@@ -638,8 +638,8 @@ class TensorBase<Derived, ReadOnlyAccessors>
}
protected:
template <typename Scalar, std::size_t NumIndices, int Options, typename IndexType> friend class Tensor;
template <typename Scalar, typename Dimensions, int Option, typename IndexTypes> friend class TensorFixedSize;
template <typename Scalar, int NumIndices, int Options, typename IndexType> friend class Tensor;
template <typename Scalar, typename Dimensions, int Option, typename IndexTypes> friend class TensorFixedSize;
template <typename OtherDerived, int AccessLevel> friend class TensorBase;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const Derived& derived() const { return *static_cast<const Derived*>(this); }
@@ -655,7 +655,7 @@ class TensorBase<Derived, WriteAccessors> : public TensorBase<Derived, ReadOnlyA
typedef typename internal::packet_traits<Scalar>::type PacketReturnType;
static const int NumDimensions = DerivedTraits::NumDimensions;
template <typename Scalar, std::size_t NumIndices, int Options, typename IndexType> friend class Tensor;
template <typename Scalar, int NumIndices, int Options, typename IndexType> friend class Tensor;
template <typename Scalar, typename Dimensions, int Option, typename IndexTypes> friend class TensorFixedSize;
template <typename OtherDerived, int AccessLevel> friend class TensorBase;