From bc7d1599fbd649f4f3d100baf0cbe8df1cc89ca6 Mon Sep 17 00:00:00 2001
From: Turing Eret <turingeret@ucar.edu>
Date: Mon, 14 Dec 2020 07:16:38 -0700
Subject: TensorStorage with FixedDimensions now has zero instance memory
 overhead. 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.

---
 unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h')

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h b/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
index ca39bb855..c7c1cfc72 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
@@ -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(); }
-- 
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