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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-29 18:51:33 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-29 18:51:33 -0700
commitd6c9596fd8693b29b94fed984824480f285336ea (patch)
tree5597de49c750ce64a8b7d100430a7af7c489d81b /unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
parent17fe7f354e679110f5a62e67c2883f1f9378115d (diff)
Added missing accessors to fixed sized tensors
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h92
1 files changed, 91 insertions, 1 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h b/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
index 9c0ed43b7..b27ee0084 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
@@ -128,7 +128,6 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
return m_storage.data()[0];
}
-
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, IndexTypes... otherIndices) const
@@ -137,8 +136,54 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
EIGEN_STATIC_ASSERT(sizeof...(otherIndices) + 1 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)
return this->operator()(array<Index, NumIndices>{{firstIndex, otherIndices...}});
}
+#else
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE const Scalar& operator()(Index i0, Index i1) const
+ {
+ if (Options&RowMajor) {
+ const Index index = i1 + i0 * m_storage.dimensions()[1];
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + i1 * m_storage.dimensions()[0];
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE const Scalar& operator()(Index i0, Index i1, Index i2) const
+ {
+ if (Options&RowMajor) {
+ const Index index = i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0);
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * i2);
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
+ {
+ if (Options&RowMajor) {
+ const Index index = i3 + m_storage.dimensions()[3] * (i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0));
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * (i2 + m_storage.dimensions()[2] * i3));
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i4) const
+ {
+ if (Options&RowMajor) {
+ const Index index = i4 + m_storage.dimensions()[4] * (i3 + m_storage.dimensions()[3] * (i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0)));
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * (i2 + m_storage.dimensions()[2] * (i3 + m_storage.dimensions()[3] * i4)));
+ return m_storage.data()[index];
+ }
+ }
#endif
+
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const Scalar& operator()(const array<Index, NumIndices>& indices) const
{
@@ -176,6 +221,51 @@ class TensorFixedSize : public TensorBase<TensorFixedSize<Scalar_, Dimensions_,
EIGEN_STATIC_ASSERT(sizeof...(otherIndices) + 1 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)
return operator()(array<Index, NumIndices>{{firstIndex, otherIndices...}});
}
+#else
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE Scalar& operator()(Index i0, Index i1)
+ {
+ if (Options&RowMajor) {
+ const Index index = i1 + i0 * m_storage.dimensions()[1];
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + i1 * m_storage.dimensions()[0];
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE Scalar& operator()(Index i0, Index i1, Index i2)
+ {
+ if (Options&RowMajor) {
+ const Index index = i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0);
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * i2);
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE Scalar& operator()(Index i0, Index i1, Index i2, Index i3)
+ {
+ if (Options&RowMajor) {
+ const Index index = i3 + m_storage.dimensions()[3] * (i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0));
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * (i2 + m_storage.dimensions()[2] * i3));
+ return m_storage.data()[index];
+ }
+ }
+ EIGEN_DEVICE_FUNC
+ EIGEN_STRONG_INLINE Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i4)
+ {
+ if (Options&RowMajor) {
+ const Index index = i4 + m_storage.dimensions()[4] * (i3 + m_storage.dimensions()[3] * (i2 + m_storage.dimensions()[2] * (i1 + m_storage.dimensions()[1] * i0)));
+ return m_storage.data()[index];
+ } else {
+ const Index index = i0 + m_storage.dimensions()[0] * (i1 + m_storage.dimensions()[1] * (i2 + m_storage.dimensions()[2] * (i3 + m_storage.dimensions()[3] * i4)));
+ return m_storage.data()[index];
+ }
+ }
#endif
EIGEN_DEVICE_FUNC