diff options
4 files changed, 18 insertions, 18 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h b/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h index ef134adf2..5790e19d6 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h @@ -106,7 +106,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device> m_dimensions[i] = input_dims[i] * broadcast[i]; } - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { m_inputStrides[0] = 1; m_outputStrides[0] = 1; for (int i = 1; i < NumDims; ++i) { @@ -139,7 +139,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE CoeffReturnType coeff(Index index) const { - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { return coeffColMajor(index); } else { return coeffRowMajor(index); @@ -210,7 +210,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device> template<int LoadMode> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketReturnType packet(Index index) const { - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { return packetColMajor<LoadMode>(index); } else { return packetRowMajor<LoadMode>(index); @@ -326,7 +326,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device> } - Scalar* data() const { return NULL; } + EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } protected: Dimensions m_dimensions; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h index e750c21e7..f7254a24d 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h @@ -536,7 +536,7 @@ struct TensorContractionEvaluatorBase DSizes<Index, LDims> eval_left_dims; DSizes<Index, RDims> eval_right_dims; array<IndexPair<Index>, ContractDims> eval_op_indices; - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { // For ColMajor, we keep using the existing dimensions for (int i = 0; i < LDims; i++) { eval_left_dims[i] = m_leftImpl.dimensions()[i]; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h index 5e167d4aa..488d32cb4 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h @@ -167,7 +167,7 @@ struct TensorEvaluator<const Derived, Device> #endif } - const Scalar* data() const { return m_data; } + EIGEN_DEVICE_FUNC const Scalar* data() const { return m_data; } protected: const Scalar* m_data; @@ -218,7 +218,7 @@ struct TensorEvaluator<const TensorCwiseNullaryOp<NullaryOp, ArgType>, Device> return m_functor.packetOp(index); } - CoeffReturnType* data() const { return NULL; } + EIGEN_DEVICE_FUNC CoeffReturnType* data() const { return NULL; } private: const NullaryOp m_functor; @@ -273,7 +273,7 @@ struct TensorEvaluator<const TensorCwiseUnaryOp<UnaryOp, ArgType>, Device> return m_functor.packetOp(m_argImpl.template packet<LoadMode>(index)); } - CoeffReturnType* data() const { return NULL; } + EIGEN_DEVICE_FUNC CoeffReturnType* data() const { return NULL; } private: const UnaryOp m_functor; @@ -301,7 +301,7 @@ struct TensorEvaluator<const TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArg m_leftImpl(op.lhsExpression(), device), m_rightImpl(op.rhsExpression(), device) { - EIGEN_STATIC_ASSERT((TensorEvaluator<LeftArgType, Device>::Layout == TensorEvaluator<RightArgType, Device>::Layout || internal::traits<XprType>::NumDimensions == 1), YOU_MADE_A_PROGRAMMING_MISTAKE); + EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<LeftArgType, Device>::Layout) == static_cast<int>(TensorEvaluator<RightArgType, Device>::Layout) || internal::traits<XprType>::NumDimensions == 1), YOU_MADE_A_PROGRAMMING_MISTAKE); eigen_assert(dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions())); } @@ -337,7 +337,7 @@ struct TensorEvaluator<const TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArg return m_functor.packetOp(m_leftImpl.template packet<LoadMode>(index), m_rightImpl.template packet<LoadMode>(index)); } - CoeffReturnType* data() const { return NULL; } + EIGEN_DEVICE_FUNC CoeffReturnType* data() const { return NULL; } private: const BinaryOp m_functor; @@ -413,7 +413,7 @@ struct TensorEvaluator<const TensorSelectOp<IfArgType, ThenArgType, ElseArgType> m_elseImpl.template packet<LoadMode>(index)); } - CoeffReturnType* data() const { return NULL; } + EIGEN_DEVICE_FUNC CoeffReturnType* data() const { return NULL; } private: TensorEvaluator<IfArgType, Device> m_condImpl; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h index 21416afe0..7643d4cdc 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h @@ -245,7 +245,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> } // Precompute output strides. - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { m_outputStrides[0] = 1; for (int i = 1; i < NumOutputDims; ++i) { m_outputStrides[i] = m_outputStrides[i - 1] * m_dimensions[i - 1]; @@ -259,7 +259,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> // Precompute input strides. array<Index, NumInputDims> input_strides; - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { input_strides[0] = 1; for (int i = 1; i < NumInputDims; ++i) { input_strides[i] = input_strides[i-1] * input_dims[i-1]; @@ -309,7 +309,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> Op reducer(m_reducer); if (ReducingInnerMostDims) { const Index num_values_to_reduce = - (Layout == ColMajor) ? m_preservedStrides[0] : m_preservedStrides[NumOutputDims - 1]; + (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? m_preservedStrides[0] : m_preservedStrides[NumOutputDims - 1]; return internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstInput(index), num_values_to_reduce, reducer); } else { @@ -330,7 +330,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize]; if (ReducingInnerMostDims) { const Index num_values_to_reduce = - (Layout == ColMajor) ? m_preservedStrides[0] : m_preservedStrides[NumOutputDims - 1]; + (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? m_preservedStrides[0] : m_preservedStrides[NumOutputDims - 1]; const Index firstIndex = firstInput(index); for (Index i = 0; i < packetSize; ++i) { Op reducer(m_reducer); @@ -339,7 +339,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> } } else if (PreservingInnerMostDims) { const Index firstIndex = firstInput(index); - const int innermost_dim = (Layout == ColMajor) ? 0 : NumOutputDims - 1; + const int innermost_dim = (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? 0 : NumOutputDims - 1; // TBD: extend this the the n innermost dimensions that we preserve. if (((firstIndex % m_dimensions[innermost_dim]) + packetSize - 1) < m_dimensions[innermost_dim]) { Op reducer(m_reducer); @@ -371,7 +371,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> // used to compute the reduction at output index "index". EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index firstInput(Index index) const { if (ReducingInnerMostDims) { - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { return index * m_preservedStrides[0]; } else { return index * m_preservedStrides[NumOutputDims - 1]; @@ -379,7 +379,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> } // TBD: optimize the case where we preserve the innermost dimensions. Index startInput = 0; - if (Layout == ColMajor) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { for (int i = NumOutputDims - 1; i > 0; --i) { // This is index_i in the output tensor. const Index idx = index / m_outputStrides[i]; |