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| author |  Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-02-27 12:57:13 -0800 |
|---|---|---|
| committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-02-27 12:57:13 -0800 |
| commit | 2386fc8528fa8f923b0300af6ddc4cd46a178afd (patch) | |
| tree | 4ad32d535ce9e8874ac9bd8a6e16ff7da0f02118 /unsupported/Eigen/CXX11/src/Tensor/Tensor.h | |
| parent | 05089aba75f8bf1ab3d1bfd566decfc08ce729f9 (diff) | |
Added support for 32bit index on a per tensor/tensor expression. This enables us to use 32bit indices to evaluate expressions on GPU faster while keeping the ability to use 64 bit indices to manipulate large tensors on CPU in the same binary.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/Tensor.h')
| -rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/Tensor.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h index 037219f23..87ced2cce 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h +++ b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h @@ -92,7 +92,7 @@ class Tensor : public TensorBase<Tensor<Scalar_, NumIndices_, Options_> > // Metadata 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 DSizes<DenseIndex, NumIndices_>& 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(); } |