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TensorStorage with FixedDimensions now has zero instance memory overhead.

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Removed m_dimension as instance member of TensorStorage with
FixedDimensions and instead use the template parameter. This
means that the sizeof a pure fixed-size storage is exactly
equal to the data it is storing.
This commit is contained in:
Turing Eret 2020-12-14 07:16:38 -07:00
parent cf0b5b0344
commit bc7d1599fb
2 changed files with 3 additions and 5 deletions
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2
unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
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@ -61,7 +61,7 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
public:
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rank() const { return NumIndices; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index dimension(std::size_t n) const { return m_storage.dimensions()[n]; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_storage.dimensions(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions dimensions() const { return m_storage.dimensions(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index size() const { return m_storage.size(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar *data() { return m_storage.data(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar *data() const { return m_storage.data(); }

6
unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
View File

@ -45,8 +45,6 @@ class TensorStorage
static const std::size_t MinSize = max_n_1<Size>::size;
EIGEN_ALIGN_MAX T m_data[MinSize];
FixedDimensions m_dimensions;
public:
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorStorage() {
@ -58,10 +56,10 @@ class TensorStorage
EIGEN_STRONG_INLINE const T *data() const { return m_data; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const FixedDimensions& dimensions() const { return m_dimensions; }
EIGEN_STRONG_INLINE const FixedDimensions dimensions() const { return FixedDimensions(); }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE DenseIndex size() const { return m_dimensions.TotalSize(); }
EIGEN_STRONG_INLINE DenseIndex size() const { return Size; }
};