| 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 |  |