diff options
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h')
| -rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h b/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h index 49d1004f3..dd51850b7 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h @@ -242,7 +242,7 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device> typedef internal::TensorBlockNotImplemented TensorBlock; //===--------------------------------------------------------------------===// - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& device) + EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& device) : m_device(device), m_impl(op.expression(), device) { EIGEN_STATIC_ASSERT((NumDims >= 4), YOU_MADE_A_PROGRAMMING_MISTAKE); @@ -389,20 +389,20 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; } - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) { + EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) { m_impl.evalSubExprsIfNeeded(NULL); return true; } #ifdef EIGEN_USE_THREADS template <typename EvalSubExprsCallback> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeededAsync( + EIGEN_STRONG_INLINE void evalSubExprsIfNeededAsync( EvaluatorPointerType, EvalSubExprsCallback done) { m_impl.evalSubExprsIfNeededAsync(nullptr, [done](bool) { done(true); }); } #endif // EIGEN_USE_THREADS - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { + EIGEN_STRONG_INLINE void cleanup() { m_impl.cleanup(); } @@ -514,16 +514,16 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device> } #endif - Index rowPaddingTop() const { return m_rowPaddingTop; } - Index colPaddingLeft() const { return m_colPaddingLeft; } - Index outputRows() const { return m_outputRows; } - Index outputCols() const { return m_outputCols; } - Index userRowStride() const { return m_row_strides; } - Index userColStride() const { return m_col_strides; } - Index userInRowStride() const { return m_in_row_strides; } - Index userInColStride() const { return m_in_col_strides; } - Index rowInflateStride() const { return m_row_inflate_strides; } - Index colInflateStride() const { return m_col_inflate_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rowPaddingTop() const { return m_rowPaddingTop; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index colPaddingLeft() const { return m_colPaddingLeft; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index outputRows() const { return m_outputRows; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index outputCols() const { return m_outputCols; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index userRowStride() const { return m_row_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index userColStride() const { return m_col_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index userInRowStride() const { return m_in_row_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index userInColStride() const { return m_in_col_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rowInflateStride() const { return m_row_inflate_strides; } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index colInflateStride() const { return m_col_inflate_strides; } EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const { |