diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h b/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h index 45ddfdb39..cbf91013b 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h @@ -60,7 +60,7 @@ struct cond { * - kSkewedInnerDims: 100 blocks of size 100x1 (or 1x100 depending on a column * or row major layout) */ -enum class TensorBlockShapeType { +enum TensorBlockShapeType { kUniformAllDims, kSkewedInnerDims, }; @@ -152,11 +152,11 @@ struct TensorBlockCopyOp { const Scalar* src_base = &src_data[src_index]; Scalar* dst_base = &dst_data[dst_index]; - using Src = const Eigen::Array; - using Dst = Eigen::Array; + typedef const Eigen::Array Src; + typedef Eigen::Array Dst; - using SrcMap = Eigen::Map>; - using DstMap = Eigen::Map>; + typedef Eigen::Map> SrcMap; + typedef Eigen::Map> DstMap; const SrcMap src(src_base, num_coeff_to_copy, InnerStride<>(src_stride)); DstMap dst(dst_base, num_coeff_to_copy, InnerStride<>(dst_stride)); @@ -401,13 +401,13 @@ struct TensorBlockCwiseBinaryOp { const StorageIndex left_stride, const LeftScalar* left_data, const StorageIndex right_index, const StorageIndex right_stride, const RightScalar* right_data) { - using Lhs = const Eigen::Array; - using Rhs = const Eigen::Array; - using Out = Eigen::Array; + typedef const Eigen::Array Lhs; + typedef const Eigen::Array Rhs; + typedef Eigen::Array Out; - using LhsMap = Eigen::Map>; - using RhsMap = Eigen::Map>; - using OutMap = Eigen::Map>; + typedef Eigen::Map> LhsMap; + typedef Eigen::Map> RhsMap; + typedef Eigen::Map> OutMap; const LeftScalar* lhs_base = &left_data[left_index]; const RightScalar* rhs_base = &right_data[right_index]; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h b/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h index 17008917a..3f3b5685d 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h @@ -36,7 +36,7 @@ template class TensorExecutor { public: - using StorageIndex = typename Expression::Index; + typedef typename Expression::Index StorageIndex; EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(const Expression& expr, @@ -60,7 +60,7 @@ template class TensorExecutor { public: - using StorageIndex = typename Expression::Index; + typedef typename Expression::Index StorageIndex; EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(const Expression& expr, @@ -102,21 +102,19 @@ template class TensorExecutor { public: - using Scalar = typename traits::Scalar; - using ScalarNoConst = typename remove_const::type; + typedef typename traits::Scalar Scalar; + typedef typename remove_const::type ScalarNoConst; - using Evaluator = TensorEvaluator; - using StorageIndex = typename traits::Index; + typedef TensorEvaluator Evaluator; + typedef typename traits::Index StorageIndex; static const int NumDims = traits::NumDimensions; EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(const Expression& expr, const DefaultDevice& device = DefaultDevice()) { - using TensorBlock = - TensorBlock; - using TensorBlockMapper = TensorBlockMapper; + typedef TensorBlock TensorBlock; + typedef TensorBlockMapper TensorBlockMapper; Evaluator evaluator(expr, device); Index total_size = array_prod(evaluator.dimensions()); @@ -221,7 +219,7 @@ struct EvalRange { template class TensorExecutor { public: - using StorageIndex = typename Expression::Index; + typedef typename Expression::Index StorageIndex; static EIGEN_STRONG_INLINE void run(const Expression& expr, const ThreadPoolDevice& device) { @@ -249,20 +247,18 @@ class TensorExecutor { template class TensorExecutor { public: - using Scalar = typename traits::Scalar; - using ScalarNoConst = typename remove_const::type; + typedef typename traits::Scalar Scalar; + typedef typename remove_const::type ScalarNoConst; - using Evaluator = TensorEvaluator; - using StorageIndex = typename traits::Index; + typedef TensorEvaluator Evaluator; + typedef typename traits::Index StorageIndex; static const int NumDims = traits::NumDimensions; static EIGEN_STRONG_INLINE void run(const Expression& expr, const ThreadPoolDevice& device) { - using TensorBlock = - TensorBlock; - using TensorBlockMapper = - TensorBlockMapper; + typedef TensorBlock TensorBlock; + typedef TensorBlockMapper TensorBlockMapper; Evaluator evaluator(expr, device); StorageIndex total_size = array_prod(evaluator.dimensions());