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Add missing EIGEN_DEPRECATED annotations to deprecated functions and fix few other doxygen warnings
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@ -235,7 +235,7 @@ DenseBase<Derived>::Constant(const Scalar& value)
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* \sa LinSpaced(Index,Scalar,Scalar), setLinSpaced(Index,const Scalar&,const Scalar&)
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*/
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template<typename Derived>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
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DenseBase<Derived>::LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
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@ -247,7 +247,7 @@ DenseBase<Derived>::LinSpaced(Sequential_t, Index size, const Scalar& low, const
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* \sa LinSpaced(Scalar,Scalar)
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*/
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template<typename Derived>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
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DenseBase<Derived>::LinSpaced(Sequential_t, const Scalar& low, const Scalar& high)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
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@ -266,7 +266,7 @@ template<typename Derived> class DenseBase
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/** \internal Represents a matrix with all coefficients equal to one another*/
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typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
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/** \internal \deprecated Represents a vector with linearly spaced coefficients that allows sequential access only. */
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typedef CwiseNullaryOp<internal::linspaced_op<Scalar>,PlainObject> SequentialLinSpacedReturnType;
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EIGEN_DEPRECATED typedef CwiseNullaryOp<internal::linspaced_op<Scalar>,PlainObject> SequentialLinSpacedReturnType;
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/** \internal Represents a vector with linearly spaced coefficients that allows random access. */
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typedef CwiseNullaryOp<internal::linspaced_op<Scalar>,PlainObject> RandomAccessLinSpacedReturnType;
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/** \internal the return type of MatrixBase::eigenvalues() */
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@ -305,7 +305,7 @@ template<typename Derived> class DenseBase
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* Copies \a other into *this without evaluating other. \returns a reference to *this.
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* \deprecated */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC
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Derived& lazyAssign(const DenseBase<OtherDerived>& other);
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EIGEN_DEVICE_FUNC
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@ -35,7 +35,7 @@ template<typename Derived> struct EigenBase
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* \deprecated Since Eigen 3.3, its usage is deprecated. Use Eigen::Index instead.
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* \sa StorageIndex, \ref TopicPreprocessorDirectives.
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*/
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typedef Eigen::Index Index;
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EIGEN_DEPRECATED typedef Eigen::Index Index;
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// FIXME is it needed?
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typedef typename internal::traits<Derived>::StorageKind StorageKind;
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@ -12,6 +12,7 @@
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#define EIGEN_RESHAPED_H
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namespace Eigen {
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namespace internal {
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/** \class Reshaped
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* \ingroup Core_Module
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@ -43,7 +44,6 @@ namespace Eigen {
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* \sa DenseBase::reshaped(NRowsType,NColsType)
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*/
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namespace internal {
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template<typename XprType, int Rows, int Cols, int Order>
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struct traits<Reshaped<XprType, Rows, Cols, Order> > : traits<XprType>
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{
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@ -451,12 +451,12 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
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/** \deprecated */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC
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void lazyAssign(const TriangularBase<OtherDerived>& other);
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/** \deprecated */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC
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void lazyAssign(const MatrixBase<OtherDerived>& other);
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#endif
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@ -539,7 +539,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
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/** \deprecated
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* Shortcut for \code (*this).swap(other.triangularView<(*this)::Mode>()) \endcode */
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template<typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_DEPRECATED EIGEN_DEVICE_FUNC
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void swap(MatrixBase<OtherDerived> const & other)
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{
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EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
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@ -41,7 +41,7 @@ struct cond<RowMajor> {
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} // namespace
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/**
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* \class TensorBlockShapeType
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* \enum TensorBlockShapeType
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* \ingroup CXX11_Tensor_Module
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*
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* \brief Tensor block shape type.
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@ -367,9 +367,16 @@ struct NoOpOutputKernel {
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*/
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template <typename Index, typename Scalar>
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EIGEN_ALWAYS_INLINE void operator()(
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const internal::blas_data_mapper<Scalar, Index, ColMajor>& /*output_mapper*/,
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const TensorContractionParams& /*params*/, Index /*i*/,
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Index /*j*/, Index /*num_rows*/, Index /*num_cols*/) const {}
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const internal::blas_data_mapper<Scalar, Index, ColMajor>& output_mapper,
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const TensorContractionParams& params, Index i,
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Index j, Index num_rows, Index num_cols) const {
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EIGEN_UNUSED_VARIABLE(output_mapper);
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EIGEN_UNUSED_VARIABLE(params);
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EIGEN_UNUSED_VARIABLE(i);
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EIGEN_UNUSED_VARIABLE(j);
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EIGEN_UNUSED_VARIABLE(num_rows);
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EIGEN_UNUSED_VARIABLE(num_cols);
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}
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};
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template<typename Indices, typename LhsXprType, typename RhsXprType, typename OutputKernelType = const NoOpOutputKernel>
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@ -177,7 +177,8 @@ class TensorCostModel {
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double threads = (cost - kStartupCycles) / kPerThreadCycles + 0.9;
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// Make sure we don't invoke undefined behavior when we convert to an int.
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threads = numext::mini<double>(threads, GenericNumTraits<int>::highest());
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return numext::mini(max_threads, numext::maxi<int>(1, threads));
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return numext::mini(max_threads,
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numext::maxi<int>(1, static_cast<int>(threads)));
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}
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// taskSize assesses parallel task size.
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