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TDVecSMatMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TDVECSMATMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TDVECSMATMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
53 #include <blaze/math/shims/Reset.h>
66 #include <blaze/util/Assert.h>
68 #include <blaze/util/DisableIf.h>
69 #include <blaze/util/EnableIf.h>
71 #include <blaze/util/SelectType.h>
72 #include <blaze/util/Types.h>
74 
75 
76 namespace blaze {
77 
78 //=================================================================================================
79 //
80 // CLASS TDVECSMATMULTEXPR
81 //
82 //=================================================================================================
83 
84 //*************************************************************************************************
91 template< typename VT // Type of the left-hand side dense vector
92  , typename MT > // Type of the right-hand side sparse matrix
93 class TDVecSMatMultExpr : public DenseVector< TDVecSMatMultExpr<VT,MT>, true >
94  , private TVecMatMultExpr
95  , private Computation
96 {
97  private:
98  //**Type definitions****************************************************************************
99  typedef typename VT::ResultType VRT;
100  typedef typename MT::ResultType MRT;
101  typedef typename VT::CompositeType VCT;
102  typedef typename MT::CompositeType MCT;
103  //**********************************************************************************************
104 
105  //**********************************************************************************************
107  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
108  //**********************************************************************************************
109 
110  //**********************************************************************************************
112  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
113  //**********************************************************************************************
114 
115  //**********************************************************************************************
117 
120  template< typename T1, typename T2, typename T3 >
121  struct UseSMPAssignKernel {
122  enum { value = evaluateVector || evaluateMatrix };
123  };
125  //**********************************************************************************************
126 
127  public:
128  //**Type definitions****************************************************************************
133  typedef const ElementType ReturnType;
134  typedef const ResultType CompositeType;
135 
137  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type LeftOperand;
138 
140  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type RightOperand;
141 
144 
146  typedef MCT RT;
147  //**********************************************************************************************
148 
149  //**Compilation flags***************************************************************************
151  enum { vectorizable = 0 };
152 
154  enum { smpAssignable = !evaluateVector && !evaluateMatrix };
155  //**********************************************************************************************
156 
157  //**Constructor*********************************************************************************
160  explicit inline TDVecSMatMultExpr( const VT& vec, const MT& mat )
161  : vec_( vec ) // Left-hand side dense vector of the multiplication expression
162  , mat_( mat ) // Right-hand side sparse matrix of the multiplication expression
163  {
164  BLAZE_INTERNAL_ASSERT( vec_.size() == mat.rows(), "Invalid vector and matrix sizes" );
165  }
166  //**********************************************************************************************
167 
168  //**Subscript operator**************************************************************************
174  inline ReturnType operator[]( size_t index ) const {
175  BLAZE_INTERNAL_ASSERT( index < mat_.columns(), "Invalid vector access index" );
176 
177  ElementType res;
178 
179  if( vec_.size() != 0UL ) {
180  res = vec_[0UL] * mat_(0UL,index);
181  for( size_t i=1UL; i<vec_.size(); ++i ) {
182  res += vec_[i] * mat_(i,index);
183  }
184  }
185  else {
186  reset( res );
187  }
188 
189  return res;
190  }
191  //**********************************************************************************************
192 
193  //**Size function*******************************************************************************
198  inline size_t size() const {
199  return mat_.columns();
200  }
201  //**********************************************************************************************
202 
203  //**Left operand access*************************************************************************
208  inline LeftOperand leftOperand() const {
209  return vec_;
210  }
211  //**********************************************************************************************
212 
213  //**Right operand access************************************************************************
218  inline RightOperand rightOperand() const {
219  return mat_;
220  }
221  //**********************************************************************************************
222 
223  //**********************************************************************************************
229  template< typename T >
230  inline bool canAlias( const T* alias ) const {
231  return ( vec_.isAliased( alias ) || mat_.isAliased( alias ) );
232  }
233  //**********************************************************************************************
234 
235  //**********************************************************************************************
241  template< typename T >
242  inline bool isAliased( const T* alias ) const {
243  return ( vec_.isAliased( alias ) || mat_.isAliased( alias ) );
244  }
245  //**********************************************************************************************
246 
247  //**********************************************************************************************
252  inline bool isAligned() const {
253  return vec_.isAligned();
254  }
255  //**********************************************************************************************
256 
257  //**********************************************************************************************
262  inline bool canSMPAssign() const {
263  return ( size() > SMP_TDVECSMATMULT_THRESHOLD );
264  }
265  //**********************************************************************************************
266 
267  private:
268  //**Member variables****************************************************************************
271  //**********************************************************************************************
272 
273  //**Assignment to dense vectors*****************************************************************
285  template< typename VT2 > // Type of the target dense vector
286  friend inline void assign( DenseVector<VT2,true>& lhs, const TDVecSMatMultExpr& rhs )
287  {
289 
290  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
291 
292  reset( ~lhs );
293 
294  if( rhs.mat_.rows() == 0UL ) return;
295 
296  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
297  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
298 
299  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
300  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
301  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
302  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
303 
304  TDVecSMatMultExpr::selectAssignKernel( ~lhs, x, A );
305  }
306  //**********************************************************************************************
307 
308  //**Serial assignment to dense vectors**********************************************************
322  template< typename VT1 // Type of the left-hand side target vector
323  , typename VT2 // Type of the left-hand side vector operand
324  , typename MT1 > // Type of the right-hand side matrix operand
325  static inline typename DisableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
326  selectAssignKernel( VT1& y, const VT2& x, const MT1& A )
327  {
329 
330  for( size_t i=0UL; i<x.size(); ++i )
331  {
332  const ConstIterator end( A.end(i) );
333  ConstIterator element( A.begin(i) );
334 
335  for( ; element!=end; ++element ) {
337  isDefault( y[element->index()] ) )
338  y[element->index()] = x[i] * element->value();
339  else
340  y[element->index()] += x[i] * element->value();
341  }
342  }
343  }
345  //**********************************************************************************************
346 
347  //**SMP assignment to dense vectors*************************************************************
361  template< typename VT1 // Type of the left-hand side target vector
362  , typename VT2 // Type of the left-hand side vector operand
363  , typename MT1 > // Type of the right-hand side matrix operand
364  static inline typename EnableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
365  selectAssignKernel( VT1& y, const VT2& x, const MT1& A )
366  {
367  smpAssign( y, x * A );
368  }
370  //**********************************************************************************************
371 
372  //**Assignment to sparse vectors****************************************************************
384  template< typename VT2 > // Type of the target sparse vector
385  friend inline void assign( SparseVector<VT2,true>& lhs, const TDVecSMatMultExpr& rhs )
386  {
388 
392 
393  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
394 
395  const ResultType tmp( rhs );
396  smpAssign( ~lhs, tmp );
397  }
398  //**********************************************************************************************
399 
400  //**Addition assignment to dense vectors********************************************************
412  template< typename VT2 > // Type of the target dense vector
413  friend inline void addAssign( DenseVector<VT2,true>& lhs, const TDVecSMatMultExpr& rhs )
414  {
416 
417  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
418 
420 
421  if( rhs.mat_.rows() == 0UL ) {
422  return;
423  }
424 
425  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
426  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
427 
428  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
429  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
430  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
431  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
432 
433  TDVecSMatMultExpr::selectAddAssignKernel( ~lhs, x, A );
434  }
435  //**********************************************************************************************
436 
437  //**Serial addition assignment to dense vectors*************************************************
451  template< typename VT1 // Type of the left-hand side target vector
452  , typename VT2 // Type of the left-hand side vector operand
453  , typename MT1 > // Type of the right-hand side matrix operand
454  static inline typename DisableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
455  selectAddAssignKernel( VT1& y, const VT2& x, const MT1& A )
456  {
458 
459  for( size_t i=0UL; i<x.size(); ++i )
460  {
461  const ConstIterator end( A.end(i) );
462  ConstIterator element( A.begin(i) );
463 
464  for( ; element!=end; ++element ) {
465  y[element->index()] += x[i] * element->value();
466  }
467  }
468  }
470  //**********************************************************************************************
471 
472  //**SMP addition assignment to dense vectors****************************************************
486  template< typename VT1 // Type of the left-hand side target vector
487  , typename VT2 // Type of the left-hand side vector operand
488  , typename MT1 > // Type of the right-hand side matrix operand
489  static inline typename EnableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
490  selectAddAssignKernel( VT1& y, const VT2& x, const MT1& A )
491  {
492  smpAddAssign( y, x * A );
493  }
495  //**********************************************************************************************
496 
497  //**Addition assignment to sparse vectors*******************************************************
498  // No special implementation for the addition assignment to sparse vectors.
499  //**********************************************************************************************
500 
501  //**Subtraction assignment to dense vectors*****************************************************
513  template< typename VT2 > // Type of the target dense vector
514  friend inline void subAssign( DenseVector<VT2,true>& lhs, const TDVecSMatMultExpr& rhs )
515  {
517 
518  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
519 
521 
522  if( rhs.mat_.rows() == 0UL ) {
523  return;
524  }
525 
526  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
527  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
528 
529  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
530  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
531  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
532  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
533 
534  TDVecSMatMultExpr::selectSubAssignKernel( ~lhs, x, A );
535  }
536  //**********************************************************************************************
537 
538  //**Serial subtraction assignment to dense vectors**********************************************
552  template< typename VT1 // Type of the left-hand side target vector
553  , typename VT2 // Type of the left-hand side vector operand
554  , typename MT1 > // Type of the right-hand side matrix operand
555  static inline typename DisableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
556  selectSubAssignKernel( VT1& y, const VT2& x, const MT1& A )
557  {
559 
560  for( size_t i=0UL; i<x.size(); ++i )
561  {
562  const ConstIterator end( A.end(i) );
563  ConstIterator element( A.begin(i) );
564 
565  for( ; element!=end; ++element ) {
566  y[element->index()] -= x[i] * element->value();
567  }
568  }
569  }
571  //**********************************************************************************************
572 
573  //**SMP subtraction assignment to dense vectors*************************************************
587  template< typename VT1 // Type of the left-hand side target vector
588  , typename VT2 // Type of the left-hand side vector operand
589  , typename MT1 > // Type of the right-hand side matrix operand
590  static inline typename EnableIf< UseSMPAssignKernel<VT1,VT2,MT1> >::Type
591  selectSubAssignKernel( VT1& y, const VT2& x, const MT1& A )
592  {
593  smpSubAssign( y, x * A );
594  }
596  //**********************************************************************************************
597 
598  //**Subtraction assignment to sparse vectors****************************************************
599  // No special implementation for the subtraction assignment to sparse vectors.
600  //**********************************************************************************************
601 
602  //**Multiplication assignment to dense vectors**************************************************
614  template< typename VT2 > // Type of the target dense vector
615  friend inline void multAssign( DenseVector<VT2,true>& lhs, const TDVecSMatMultExpr& rhs )
616  {
618 
622 
623  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
624 
625  const ResultType tmp( rhs );
626  smpMultAssign( ~lhs, tmp );
627  }
628  //**********************************************************************************************
629 
630  //**Multiplication assignment to sparse vectors*************************************************
631  // No special implementation for the multiplication assignment to sparse vectors.
632  //**********************************************************************************************
633 
634  //**Compile time checks*************************************************************************
641  //**********************************************************************************************
642 };
643 //*************************************************************************************************
644 
645 
646 
647 
648 //=================================================================================================
649 //
650 // GLOBAL BINARY ARITHMETIC OPERATORS
651 //
652 //=================================================================================================
653 
654 //*************************************************************************************************
685 template< typename T1 // Type of the left-hand side dense vector
686  , typename T2 > // Type of the right-hand side sparse matrix
687 inline const typename DisableIf< IsMatMatMultExpr<T2>, TDVecSMatMultExpr<T1,T2> >::Type
689 {
691 
692  if( (~vec).size() != (~mat).rows() )
693  throw std::invalid_argument( "Vector and matrix sizes do not match" );
694 
695  return TDVecSMatMultExpr<T1,T2>( ~vec, ~mat );
696 }
697 //*************************************************************************************************
698 
699 
700 
701 
702 //=================================================================================================
703 //
704 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
705 //
706 //=================================================================================================
707 
708 //*************************************************************************************************
721 template< typename T1 // Type of the left-hand side dense vector
722  , typename T2 // Type of the right-hand side sparse matrix
723  , bool SO > // Storage order of the right-hand side sparse matrix
724 inline const typename EnableIf< IsMatMatMultExpr<T2>, MultExprTrait<T1,T2> >::Type::Type
726 {
728 
729  return ( vec * (~mat).leftOperand() ) * (~mat).rightOperand();
730 }
731 //*************************************************************************************************
732 
733 
734 
735 
736 //=================================================================================================
737 //
738 // EXPRESSION TRAIT SPECIALIZATIONS
739 //
740 //=================================================================================================
741 
742 //*************************************************************************************************
744 template< typename VT, typename MT, bool AF >
745 struct SubvectorExprTrait< TDVecSMatMultExpr<VT,MT>, AF >
746 {
747  public:
748  //**********************************************************************************************
749  typedef typename MultExprTrait< VT, typename SubmatrixExprTrait<const MT,AF>::Type >::Type Type;
750  //**********************************************************************************************
751 };
753 //*************************************************************************************************
754 
755 } // namespace blaze
756 
757 #endif
MT::ResultType MRT
Result type of the right-hand side sparse matrix expression.
Definition: TDVecSMatMultExpr.h:100
LeftOperand leftOperand() const
Returns the left-hand side dense vector operand.
Definition: TDVecSMatMultExpr.h:208
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4579
const DMatDMatMultExpr< T1, T2 > operator*(const DenseMatrix< T1, false > &lhs, const DenseMatrix< T2, false > &rhs)
Multiplication operator for the multiplication of two row-major dense matrices ( ).
Definition: DMatDMatMultExpr.h:4075
Expression object for transpose dense vector-sparse matrix multiplications.The TDVecSMatMultExpr clas...
Definition: Forward.h:130
MCT RT
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecSMatMultExpr.h:146
void smpSubAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:151
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4622
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:197
void smpMultAssign(DenseVector< VT1, TF1 > &lhs, const Vector< VT2, TF2 > &rhs)
Default implementation of the SMP multiplication assignment of a vector to a dense vector...
Definition: DenseVector.h:178
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type LeftOperand
Composite type of the left-hand side dense vector expression.
Definition: TDVecSMatMultExpr.h:137
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2384
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:249
Header file for the DenseVector base class.
RightOperand mat_
Right-hand side sparse matrix of the multiplication expression.
Definition: TDVecSMatMultExpr.h:270
Header file for the Computation base class.
ResultType::ElementType ElementType
Resulting element type.
Definition: TDVecSMatMultExpr.h:132
Header file for the RequiresEvaluation type trait.
SelectType< evaluateVector, const VRT, VCT >::Type LT
Composite type of the left-hand side dense vector expression.
Definition: TDVecSMatMultExpr.h:143
const ResultType CompositeType
Data type for composite expression templates.
Definition: TDVecSMatMultExpr.h:134
friend void assign(SparseVector< VT2, true > &lhs, const TDVecSMatMultExpr &rhs)
Assignment of a transpose dense vector-sparse matrix multiplication to a sparse vector ( )...
Definition: TDVecSMatMultExpr.h:385
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:104
Constraint on the data type.
Constraint on the data type.
Header file for the MultExprTrait class template.
void smpAddAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP addition assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:121
Compile time check to query the requirement to evaluate an expression.Via this type trait it is possi...
Definition: RequiresEvaluation.h:90
Compile time type selection.The SelectType class template selects one of the two given types T1 and T...
Definition: SelectType.h:59
Header file for the DisableIf class template.
friend void subAssign(DenseVector< VT2, true > &lhs, const TDVecSMatMultExpr &rhs)
Subtraction assignment of a transpose dense vector-sparse matrix multiplication to a dense vector ( )...
Definition: TDVecSMatMultExpr.h:514
Header file for the multiplication trait.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TDVecSMatMultExpr.h:131
Header file for the dense vector SMP implementation.
TDVecSMatMultExpr< VT, MT > This
Type of this TDVecSMatMultExpr instance.
Definition: TDVecSMatMultExpr.h:129
friend void multAssign(DenseVector< VT2, true > &lhs, const TDVecSMatMultExpr &rhs)
Multiplication assignment of a transpose dense vector-sparse matrix multiplication to a dense vector ...
Definition: TDVecSMatMultExpr.h:615
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2388
Header file for the IsMatMatMultExpr type trait class.
VT::CompositeType VCT
Composite type of the left-hand side dense vector expression.
Definition: TDVecSMatMultExpr.h:101
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
Constraint on the data type.
TDVecSMatMultExpr(const VT &vec, const MT &mat)
Constructor for the TDVecSMatMultExpr class.
Definition: TDVecSMatMultExpr.h:160
#define BLAZE_CONSTRAINT_MUST_BE_REFERENCE_TYPE(T)
Constraint on the data type.In case the given data type T is not a reference type, a compilation error is created.
Definition: Reference.h:78
Constraints on the storage order of matrix types.
Constraint on the data type.
LeftOperand vec_
Left-hand side dense vector of the multiplication expression.
Definition: TDVecSMatMultExpr.h:269
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
VT::ResultType VRT
Result type of the left-hand side dense vector expression.
Definition: TDVecSMatMultExpr.h:99
Header file for the EnableIf class template.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TDVecSMatMultExpr.h:174
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TDVecSMatMultExpr.h:133
void smpAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:91
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
Header file for the SubmatrixExprTrait class template.
#define BLAZE_CONSTRAINT_MUST_BE_ROW_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a row-major dense or sparse matrix t...
Definition: StorageOrder.h:81
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TDVecSMatMultExpr.h:252
Header file for run time assertion macros.
Base template for the MultTrait class.
Definition: MultTrait.h:141
MT::CompositeType MCT
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecSMatMultExpr.h:102
const size_t SMP_TDVECSMATMULT_THRESHOLD
SMP dense vector/row-major sparse matrix multiplication threshold.This threshold represents the syste...
Definition: Thresholds.h:269
Header file for the reset shim.
Header file for the isDefault shim.
Header file for the TVecMatMultExpr base class.
friend void addAssign(DenseVector< VT2, true > &lhs, const TDVecSMatMultExpr &rhs)
Addition assignment of a transpose dense vector-sparse matrix multiplication to a dense vector ( )...
Definition: TDVecSMatMultExpr.h:413
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TDVecSMatMultExpr.h:230
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TDVecSMatMultExpr.h:242
MultTrait< VRT, MRT >::Type ResultType
Result type for expression template evaluations.
Definition: TDVecSMatMultExpr.h:130
Header file for the RemoveReference type trait.
Substitution Failure Is Not An Error (SFINAE) class.The DisableIf class template is an auxiliary tool...
Definition: DisableIf.h:184
friend void assign(DenseVector< VT2, true > &lhs, const TDVecSMatMultExpr &rhs)
Assignment of a transpose dense vector-sparse matrix multiplication to a dense vector ( )...
Definition: TDVecSMatMultExpr.h:286
#define BLAZE_CONSTRAINT_MUST_BE_DENSE_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a dense, N-dimensional vector type...
Definition: DenseVector.h:79
Header file for the IsComputation type trait class.
Header file for the sparse vector SMP implementation.
Base class for sparse vectors.The SparseVector class is a base class for all arbitrarily sized (N-dim...
Definition: Forward.h:105
#define BLAZE_FUNCTION_TRACE
Function trace macro.This macro can be used to reliably trace function calls. In case function tracin...
Definition: FunctionTrace.h:157
RightOperand rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: TDVecSMatMultExpr.h:218
This ResultType
Result type for expression template evaluations.
Definition: CompressedMatrix.h:2379
Header file for basic type definitions.
#define BLAZE_CONSTRAINT_MUST_BE_ROW_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a row dense or sparse vector type (i...
Definition: TransposeFlag.h:81
Header file for the SubvectorExprTrait class template.
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TDVecSMatMultExpr.h:262
Header file for the IsResizable type trait.
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecSMatMultExpr.h:140
Header file for the thresholds for matrix/vector and matrix/matrix multiplications.
size_t rows(const Matrix< MT, SO > &m)
Returns the current number of rows of the matrix.
Definition: Matrix.h:138
#define BLAZE_INTERNAL_ASSERT(expr, msg)
Run time assertion macro for internal checks.In case of an invalid run time expression, the program execution is terminated. The BLAZE_INTERNAL_ASSERT macro can be disabled by setting the BLAZE_USER_ASSERTION flag to zero or by defining NDEBUG during the compilation.
Definition: Assert.h:101
size_t size() const
Returns the current size/dimension of the vector.
Definition: TDVecSMatMultExpr.h:198
#define BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a sparse, N-dimensional matrix type...
Definition: SparseMatrix.h:79
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.