| 1 | // This file is part of Eigen, a lightweight C++ template library |
| 2 | // for linear algebra. |
| 3 | // |
| 4 | // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> |
| 5 | // |
| 6 | // This Source Code Form is subject to the terms of the Mozilla |
| 7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
| 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| 9 | |
| 10 | #ifndef EIGEN_VISITOR_H |
| 11 | #define EIGEN_VISITOR_H |
| 12 | |
| 13 | namespace Eigen { |
| 14 | |
| 15 | namespace internal { |
| 16 | |
| 17 | template<typename Visitor, typename Derived, int UnrollCount> |
| 18 | struct visitor_impl |
| 19 | { |
| 20 | enum { |
| 21 | col = (UnrollCount-1) / Derived::RowsAtCompileTime, |
| 22 | row = (UnrollCount-1) % Derived::RowsAtCompileTime |
| 23 | }; |
| 24 | |
| 25 | EIGEN_DEVICE_FUNC |
| 26 | static inline void run(const Derived &mat, Visitor& visitor) |
| 27 | { |
| 28 | visitor_impl<Visitor, Derived, UnrollCount-1>::run(mat, visitor); |
| 29 | visitor(mat.coeff(row, col), row, col); |
| 30 | } |
| 31 | }; |
| 32 | |
| 33 | template<typename Visitor, typename Derived> |
| 34 | struct visitor_impl<Visitor, Derived, 1> |
| 35 | { |
| 36 | EIGEN_DEVICE_FUNC |
| 37 | static inline void run(const Derived &mat, Visitor& visitor) |
| 38 | { |
| 39 | return visitor.init(mat.coeff(0, 0), 0, 0); |
| 40 | } |
| 41 | }; |
| 42 | |
| 43 | // This specialization enables visitors on empty matrices at compile-time |
| 44 | template<typename Visitor, typename Derived> |
| 45 | struct visitor_impl<Visitor, Derived, 0> { |
| 46 | EIGEN_DEVICE_FUNC |
| 47 | static inline void run(const Derived &/*mat*/, Visitor& /*visitor*/) |
| 48 | {} |
| 49 | }; |
| 50 | |
| 51 | template<typename Visitor, typename Derived> |
| 52 | struct visitor_impl<Visitor, Derived, Dynamic> |
| 53 | { |
| 54 | EIGEN_DEVICE_FUNC |
| 55 | static inline void run(const Derived& mat, Visitor& visitor) |
| 56 | { |
| 57 | visitor.init(mat.coeff(0,0), 0, 0); |
| 58 | for(Index i = 1; i < mat.rows(); ++i) |
| 59 | visitor(mat.coeff(i, 0), i, 0); |
| 60 | for(Index j = 1; j < mat.cols(); ++j) |
| 61 | for(Index i = 0; i < mat.rows(); ++i) |
| 62 | visitor(mat.coeff(i, j), i, j); |
| 63 | } |
| 64 | }; |
| 65 | |
| 66 | // evaluator adaptor |
| 67 | template<typename XprType> |
| 68 | class visitor_evaluator |
| 69 | { |
| 70 | public: |
| 71 | EIGEN_DEVICE_FUNC |
| 72 | explicit visitor_evaluator(const XprType &xpr) : m_evaluator(xpr), m_xpr(xpr) {} |
| 73 | |
| 74 | typedef typename XprType::Scalar Scalar; |
| 75 | typedef typename XprType::CoeffReturnType CoeffReturnType; |
| 76 | |
| 77 | enum { |
| 78 | RowsAtCompileTime = XprType::RowsAtCompileTime, |
| 79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost |
| 80 | }; |
| 81 | |
| 82 | EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_xpr.rows(); } |
| 83 | EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_xpr.cols(); } |
| 84 | EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index size() const EIGEN_NOEXCEPT { return m_xpr.size(); } |
| 85 | |
| 86 | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index row, Index col) const |
| 87 | { return m_evaluator.coeff(row, col); } |
| 88 | |
| 89 | protected: |
| 90 | internal::evaluator<XprType> m_evaluator; |
| 91 | const XprType &m_xpr; |
| 92 | }; |
| 93 | } // end namespace internal |
| 94 | |
| 95 | /** Applies the visitor \a visitor to the whole coefficients of the matrix or vector. |
| 96 | * |
| 97 | * The template parameter \a Visitor is the type of the visitor and provides the following interface: |
| 98 | * \code |
| 99 | * struct MyVisitor { |
| 100 | * // called for the first coefficient |
| 101 | * void init(const Scalar& value, Index i, Index j); |
| 102 | * // called for all other coefficients |
| 103 | * void operator() (const Scalar& value, Index i, Index j); |
| 104 | * }; |
| 105 | * \endcode |
| 106 | * |
| 107 | * \note compared to one or two \em for \em loops, visitors offer automatic |
| 108 | * unrolling for small fixed size matrix. |
| 109 | * |
| 110 | * \note if the matrix is empty, then the visitor is left unchanged. |
| 111 | * |
| 112 | * \sa minCoeff(Index*,Index*), maxCoeff(Index*,Index*), DenseBase::redux() |
| 113 | */ |
| 114 | template<typename Derived> |
| 115 | template<typename Visitor> |
| 116 | EIGEN_DEVICE_FUNC |
| 117 | void DenseBase<Derived>::visit(Visitor& visitor) const |
| 118 | { |
| 119 | if(size()==0) |
| 120 | return; |
| 121 | |
| 122 | typedef typename internal::visitor_evaluator<Derived> ThisEvaluator; |
| 123 | ThisEvaluator thisEval(derived()); |
| 124 | |
| 125 | enum { |
| 126 | unroll = SizeAtCompileTime != Dynamic |
| 127 | && SizeAtCompileTime * int(ThisEvaluator::CoeffReadCost) + (SizeAtCompileTime-1) * int(internal::functor_traits<Visitor>::Cost) <= EIGEN_UNROLLING_LIMIT |
| 128 | }; |
| 129 | return internal::visitor_impl<Visitor, ThisEvaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(thisEval, visitor); |
| 130 | } |
| 131 | |
| 132 | namespace internal { |
| 133 | |
| 134 | /** \internal |
| 135 | * \brief Base class to implement min and max visitors |
| 136 | */ |
| 137 | template <typename Derived> |
| 138 | struct coeff_visitor |
| 139 | { |
| 140 | // default initialization to avoid countless invalid maybe-uninitialized warnings by gcc |
| 141 | EIGEN_DEVICE_FUNC |
| 142 | coeff_visitor() : row(-1), col(-1), res(0) {} |
| 143 | typedef typename Derived::Scalar Scalar; |
| 144 | Index row, col; |
| 145 | Scalar res; |
| 146 | EIGEN_DEVICE_FUNC |
| 147 | inline void init(const Scalar& value, Index i, Index j) |
| 148 | { |
| 149 | res = value; |
| 150 | row = i; |
| 151 | col = j; |
| 152 | } |
| 153 | }; |
| 154 | |
| 155 | /** \internal |
| 156 | * \brief Visitor computing the min coefficient with its value and coordinates |
| 157 | * |
| 158 | * \sa DenseBase::minCoeff(Index*, Index*) |
| 159 | */ |
| 160 | template <typename Derived, int NaNPropagation> |
| 161 | struct min_coeff_visitor : coeff_visitor<Derived> |
| 162 | { |
| 163 | typedef typename Derived::Scalar Scalar; |
| 164 | EIGEN_DEVICE_FUNC |
| 165 | void operator() (const Scalar& value, Index i, Index j) |
| 166 | { |
| 167 | if(value < this->res) |
| 168 | { |
| 169 | this->res = value; |
| 170 | this->row = i; |
| 171 | this->col = j; |
| 172 | } |
| 173 | } |
| 174 | }; |
| 175 | |
| 176 | template <typename Derived> |
| 177 | struct min_coeff_visitor<Derived, PropagateNumbers> : coeff_visitor<Derived> |
| 178 | { |
| 179 | typedef typename Derived::Scalar Scalar; |
| 180 | EIGEN_DEVICE_FUNC |
| 181 | void operator() (const Scalar& value, Index i, Index j) |
| 182 | { |
| 183 | if((numext::isnan)(this->res) || (!(numext::isnan)(value) && value < this->res)) |
| 184 | { |
| 185 | this->res = value; |
| 186 | this->row = i; |
| 187 | this->col = j; |
| 188 | } |
| 189 | } |
| 190 | }; |
| 191 | |
| 192 | template <typename Derived> |
| 193 | struct min_coeff_visitor<Derived, PropagateNaN> : coeff_visitor<Derived> |
| 194 | { |
| 195 | typedef typename Derived::Scalar Scalar; |
| 196 | EIGEN_DEVICE_FUNC |
| 197 | void operator() (const Scalar& value, Index i, Index j) |
| 198 | { |
| 199 | if((numext::isnan)(value) || value < this->res) |
| 200 | { |
| 201 | this->res = value; |
| 202 | this->row = i; |
| 203 | this->col = j; |
| 204 | } |
| 205 | } |
| 206 | }; |
| 207 | |
| 208 | template<typename Scalar, int NaNPropagation> |
| 209 | struct functor_traits<min_coeff_visitor<Scalar, NaNPropagation> > { |
| 210 | enum { |
| 211 | Cost = NumTraits<Scalar>::AddCost |
| 212 | }; |
| 213 | }; |
| 214 | |
| 215 | /** \internal |
| 216 | * \brief Visitor computing the max coefficient with its value and coordinates |
| 217 | * |
| 218 | * \sa DenseBase::maxCoeff(Index*, Index*) |
| 219 | */ |
| 220 | template <typename Derived, int NaNPropagation> |
| 221 | struct max_coeff_visitor : coeff_visitor<Derived> |
| 222 | { |
| 223 | typedef typename Derived::Scalar Scalar; |
| 224 | EIGEN_DEVICE_FUNC |
| 225 | void operator() (const Scalar& value, Index i, Index j) |
| 226 | { |
| 227 | if(value > this->res) |
| 228 | { |
| 229 | this->res = value; |
| 230 | this->row = i; |
| 231 | this->col = j; |
| 232 | } |
| 233 | } |
| 234 | }; |
| 235 | |
| 236 | template <typename Derived> |
| 237 | struct max_coeff_visitor<Derived, PropagateNumbers> : coeff_visitor<Derived> |
| 238 | { |
| 239 | typedef typename Derived::Scalar Scalar; |
| 240 | EIGEN_DEVICE_FUNC |
| 241 | void operator() (const Scalar& value, Index i, Index j) |
| 242 | { |
| 243 | if((numext::isnan)(this->res) || (!(numext::isnan)(value) && value > this->res)) |
| 244 | { |
| 245 | this->res = value; |
| 246 | this->row = i; |
| 247 | this->col = j; |
| 248 | } |
| 249 | } |
| 250 | }; |
| 251 | |
| 252 | template <typename Derived> |
| 253 | struct max_coeff_visitor<Derived, PropagateNaN> : coeff_visitor<Derived> |
| 254 | { |
| 255 | typedef typename Derived::Scalar Scalar; |
| 256 | EIGEN_DEVICE_FUNC |
| 257 | void operator() (const Scalar& value, Index i, Index j) |
| 258 | { |
| 259 | if((numext::isnan)(value) || value > this->res) |
| 260 | { |
| 261 | this->res = value; |
| 262 | this->row = i; |
| 263 | this->col = j; |
| 264 | } |
| 265 | } |
| 266 | }; |
| 267 | |
| 268 | template<typename Scalar, int NaNPropagation> |
| 269 | struct functor_traits<max_coeff_visitor<Scalar, NaNPropagation> > { |
| 270 | enum { |
| 271 | Cost = NumTraits<Scalar>::AddCost |
| 272 | }; |
| 273 | }; |
| 274 | |
| 275 | } // end namespace internal |
| 276 | |
| 277 | /** \fn DenseBase<Derived>::minCoeff(IndexType* rowId, IndexType* colId) const |
| 278 | * \returns the minimum of all coefficients of *this and puts in *row and *col its location. |
| 279 | * |
| 280 | * In case \c *this contains NaN, NaNPropagation determines the behavior: |
| 281 | * NaNPropagation == PropagateFast : undefined |
| 282 | * NaNPropagation == PropagateNaN : result is NaN |
| 283 | * NaNPropagation == PropagateNumbers : result is maximum of elements that are not NaN |
| 284 | * \warning the matrix must be not empty, otherwise an assertion is triggered. |
| 285 | * |
| 286 | * \sa DenseBase::minCoeff(Index*), DenseBase::maxCoeff(Index*,Index*), DenseBase::visit(), DenseBase::minCoeff() |
| 287 | */ |
| 288 | template<typename Derived> |
| 289 | template<int NaNPropagation, typename IndexType> |
| 290 | EIGEN_DEVICE_FUNC |
| 291 | typename internal::traits<Derived>::Scalar |
| 292 | DenseBase<Derived>::minCoeff(IndexType* rowId, IndexType* colId) const |
| 293 | { |
| 294 | eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix" ); |
| 295 | |
| 296 | internal::min_coeff_visitor<Derived, NaNPropagation> minVisitor; |
| 297 | this->visit(minVisitor); |
| 298 | *rowId = minVisitor.row; |
| 299 | if (colId) *colId = minVisitor.col; |
| 300 | return minVisitor.res; |
| 301 | } |
| 302 | |
| 303 | /** \returns the minimum of all coefficients of *this and puts in *index its location. |
| 304 | * |
| 305 | * In case \c *this contains NaN, NaNPropagation determines the behavior: |
| 306 | * NaNPropagation == PropagateFast : undefined |
| 307 | * NaNPropagation == PropagateNaN : result is NaN |
| 308 | * NaNPropagation == PropagateNumbers : result is maximum of elements that are not NaN |
| 309 | * \warning the matrix must be not empty, otherwise an assertion is triggered. |
| 310 | * |
| 311 | * \sa DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::minCoeff() |
| 312 | */ |
| 313 | template<typename Derived> |
| 314 | template<int NaNPropagation, typename IndexType> |
| 315 | EIGEN_DEVICE_FUNC |
| 316 | typename internal::traits<Derived>::Scalar |
| 317 | DenseBase<Derived>::minCoeff(IndexType* index) const |
| 318 | { |
| 319 | eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix" ); |
| 320 | |
| 321 | EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) |
| 322 | internal::min_coeff_visitor<Derived, NaNPropagation> minVisitor; |
| 323 | this->visit(minVisitor); |
| 324 | *index = IndexType((RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row); |
| 325 | return minVisitor.res; |
| 326 | } |
| 327 | |
| 328 | /** \fn DenseBase<Derived>::maxCoeff(IndexType* rowId, IndexType* colId) const |
| 329 | * \returns the maximum of all coefficients of *this and puts in *row and *col its location. |
| 330 | * |
| 331 | * In case \c *this contains NaN, NaNPropagation determines the behavior: |
| 332 | * NaNPropagation == PropagateFast : undefined |
| 333 | * NaNPropagation == PropagateNaN : result is NaN |
| 334 | * NaNPropagation == PropagateNumbers : result is maximum of elements that are not NaN |
| 335 | * \warning the matrix must be not empty, otherwise an assertion is triggered. |
| 336 | * |
| 337 | * \sa DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::maxCoeff() |
| 338 | */ |
| 339 | template<typename Derived> |
| 340 | template<int NaNPropagation, typename IndexType> |
| 341 | EIGEN_DEVICE_FUNC |
| 342 | typename internal::traits<Derived>::Scalar |
| 343 | DenseBase<Derived>::maxCoeff(IndexType* rowPtr, IndexType* colPtr) const |
| 344 | { |
| 345 | eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix" ); |
| 346 | |
| 347 | internal::max_coeff_visitor<Derived, NaNPropagation> maxVisitor; |
| 348 | this->visit(maxVisitor); |
| 349 | *rowPtr = maxVisitor.row; |
| 350 | if (colPtr) *colPtr = maxVisitor.col; |
| 351 | return maxVisitor.res; |
| 352 | } |
| 353 | |
| 354 | /** \returns the maximum of all coefficients of *this and puts in *index its location. |
| 355 | * |
| 356 | * In case \c *this contains NaN, NaNPropagation determines the behavior: |
| 357 | * NaNPropagation == PropagateFast : undefined |
| 358 | * NaNPropagation == PropagateNaN : result is NaN |
| 359 | * NaNPropagation == PropagateNumbers : result is maximum of elements that are not NaN |
| 360 | * \warning the matrix must be not empty, otherwise an assertion is triggered. |
| 361 | * |
| 362 | * \sa DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visitor(), DenseBase::maxCoeff() |
| 363 | */ |
| 364 | template<typename Derived> |
| 365 | template<int NaNPropagation, typename IndexType> |
| 366 | EIGEN_DEVICE_FUNC |
| 367 | typename internal::traits<Derived>::Scalar |
| 368 | DenseBase<Derived>::maxCoeff(IndexType* index) const |
| 369 | { |
| 370 | eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix" ); |
| 371 | |
| 372 | EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) |
| 373 | internal::max_coeff_visitor<Derived, NaNPropagation> maxVisitor; |
| 374 | this->visit(maxVisitor); |
| 375 | *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row; |
| 376 | return maxVisitor.res; |
| 377 | } |
| 378 | |
| 379 | } // end namespace Eigen |
| 380 | |
| 381 | #endif // EIGEN_VISITOR_H |
| 382 | |