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TSVecTDMatMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSVECTDMATMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSVECTDMATMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
53 #include <blaze/math/shims/Reset.h>
64 #include <blaze/util/Assert.h>
66 #include <blaze/util/DisableIf.h>
67 #include <blaze/util/EnableIf.h>
69 #include <blaze/util/SelectType.h>
70 #include <blaze/util/Types.h>
72 
73 
74 namespace blaze {
75 
76 //=================================================================================================
77 //
78 // CLASS TSVECDMATMULTEXPR
79 //
80 //=================================================================================================
81 
82 //*************************************************************************************************
89 template< typename VT // Type of the left-hand side sparse vector
90  , typename MT > // Type of the right-hand side dense matrix
91 class TSVecTDMatMultExpr : public DenseVector< TSVecTDMatMultExpr<VT,MT>, true >
92  , private TVecMatMultExpr
93  , private Computation
94 {
95  private:
96  //**Type definitions****************************************************************************
97  typedef typename VT::ResultType VRT;
98  typedef typename MT::ResultType MRT;
99  typedef typename VT::CompositeType VCT;
100  typedef typename MT::CompositeType MCT;
101  //**********************************************************************************************
102 
103  //**********************************************************************************************
105  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
106  //**********************************************************************************************
107 
108  //**********************************************************************************************
110  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
111  //**********************************************************************************************
112 
113  //**********************************************************************************************
115 
121  enum { useAssign = ( evaluateVector || evaluateMatrix ) };
122  //**********************************************************************************************
123 
124  //**********************************************************************************************
126  template< typename VT2 >
128  struct UseAssign {
129  enum { value = useAssign };
130  };
132  //**********************************************************************************************
133 
134  //**********************************************************************************************
136 
140  template< typename T1 >
141  struct UseSMPAssign {
142  enum { value = useAssign };
143  };
145  //**********************************************************************************************
146 
147  public:
148  //**Type definitions****************************************************************************
153  typedef const ElementType ReturnType;
154 
157 
159  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type LeftOperand;
160 
162  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type RightOperand;
163 
166 
169  //**********************************************************************************************
170 
171  //**Compilation flags***************************************************************************
173  enum { vectorizable = 0 };
174 
176  enum { smpAssignable = !evaluateVector && VT::smpAssignable &&
177  !evaluateMatrix && MT::smpAssignable };
178  //**********************************************************************************************
179 
180  //**Constructor*********************************************************************************
186  explicit inline TSVecTDMatMultExpr( const VT& vec, const MT& mat )
187  : vec_( vec ) // Left-hand side sparse vector of the multiplication expression
188  , mat_( mat ) // Right-hand side dense matrix of the multiplication expression
189  {
190  BLAZE_INTERNAL_ASSERT( vec_.size() == mat_.rows(), "Invalid vector and matrix sizes" );
191  }
192  //**********************************************************************************************
193 
194  //**Subscript operator**************************************************************************
200  inline ReturnType operator[]( size_t index ) const {
201  BLAZE_INTERNAL_ASSERT( index < mat_.columns(), "Invalid vector access index" );
202 
204 
205  VCT x( vec_ ); // Evaluation of the left-hand side sparse vector operand
206 
207  BLAZE_INTERNAL_ASSERT( x.size() == vec_.size(), "Invalid vector size" );
208 
209  const ConstIterator end( x.end() );
210  ConstIterator element( x.begin() );
211  ElementType res;
212 
213  if( element != end ) {
214  res = element->value() * mat_( element->index(), index );
215  ++element;
216  for( ; element!=end; ++element )
217  res += element->value() * mat_( element->index(), index );
218  }
219  else {
220  reset( res );
221  }
222 
223  return res;
224  }
225  //**********************************************************************************************
226 
227  //**Size function*******************************************************************************
232  inline size_t size() const {
233  return mat_.columns();
234  }
235  //**********************************************************************************************
236 
237  //**Left operand access*************************************************************************
242  inline LeftOperand leftOperand() const {
243  return vec_;
244  }
245  //**********************************************************************************************
246 
247  //**Right operand access************************************************************************
252  inline RightOperand rightOperand() const {
253  return mat_;
254  }
255  //**********************************************************************************************
256 
257  //**********************************************************************************************
263  template< typename T >
264  inline bool canAlias( const T* alias ) const {
265  return vec_.isAliased( alias ) || mat_.isAliased( alias );
266  }
267  //**********************************************************************************************
268 
269  //**********************************************************************************************
275  template< typename T >
276  inline bool isAliased( const T* alias ) const {
277  return vec_.isAliased( alias ) || mat_.isAliased( alias );
278  }
279  //**********************************************************************************************
280 
281  //**********************************************************************************************
286  inline bool isAligned() const {
287  return mat_.isAligned();
288  }
289  //**********************************************************************************************
290 
291  //**********************************************************************************************
296  inline bool canSMPAssign() const {
297  return ( size() > SMP_TSVECTDMATMULT_THRESHOLD );
298  }
299  //**********************************************************************************************
300 
301  private:
302  //**Member variables****************************************************************************
303  LeftOperand vec_;
304  RightOperand mat_;
305  //**********************************************************************************************
306 
307  //**Assignment to dense vectors*****************************************************************
323  template< typename VT2 > // Type of the target dense vector
324  friend inline typename EnableIf< UseAssign<VT2> >::Type
326  {
328 
329  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
330 
332 
333  // Evaluation of the left-hand side sparse vector operand
334  LT x( serial( rhs.vec_ ) );
335  if( x.nonZeros() == 0UL ) {
336  reset( ~lhs );
337  return;
338  }
339 
340  // Evaluation of the right-hand side dense matrix operand
341  RT A( serial( rhs.mat_ ) );
342 
343  // Checking the evaluated operands
344  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
345  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
346  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
347  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
348 
349  // Performing the sparse vector-dense matrix multiplication
350  assign( ~lhs, x * A );
351  }
353  //**********************************************************************************************
354 
355  //**Assignment to sparse vectors****************************************************************
371  template< typename VT2 > // Type of the target sparse vector
372  friend inline typename EnableIf< UseAssign<VT2> >::Type
374  {
376 
380 
381  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
382 
383  const ResultType tmp( serial( rhs ) );
384  assign( ~lhs, tmp );
385  }
387  //**********************************************************************************************
388 
389  //**Addition assignment to dense vectors********************************************************
404  template< typename VT2 > // Type of the target dense vector
405  friend inline typename EnableIf< UseAssign<VT2> >::Type
407  {
409 
410  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
411 
413 
414  // Evaluation of the left-hand side sparse vector operand
415  LT x( serial( rhs.vec_ ) );
416  if( x.nonZeros() == 0UL ) return;
417 
418  // Evaluation of the right-hand side dense matrix operand
419  RT A( serial( rhs.mat_ ) );
420 
421  // Checking the evaluated operands
422  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
423  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
424  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
425  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
426 
427  // Performing the sparse vector-dense matrix multiplication
428  addAssign( ~lhs, x * A );
429  }
430  //**********************************************************************************************
431 
432  //**Addition assignment to sparse vectors*******************************************************
433  // No special implementation for the addition assignment to sparse vectors.
434  //**********************************************************************************************
435 
436  //**Subtraction assignment to dense vectors*****************************************************
451  template< typename VT2 > // Type of the target dense vector
452  friend inline typename EnableIf< UseAssign<VT2> >::Type
454  {
456 
457  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
458 
460 
461  // Evaluation of the left-hand side sparse vector operand
462  LT x( serial( rhs.vec_ ) );
463  if( x.nonZeros() == 0UL ) return;
464 
465  // Evaluation of the right-hand side dense matrix operand
466  RT A( serial( rhs.mat_ ) );
467 
468  // Checking the evaluated operands
469  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
470  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
471  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
472  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
473 
474  // Performing the sparse vector-dense matrix multiplication
475  subAssign( ~lhs, x * A );
476  }
477  //**********************************************************************************************
478 
479  //**Subtraction assignment to sparse vectors****************************************************
480  // No special implementation for the subtraction assignment to sparse vectors.
481  //**********************************************************************************************
482 
483  //**Multiplication assignment to dense vectors**************************************************
498  template< typename VT2 > // Type of the target dense vector
499  friend inline typename EnableIf< UseAssign<VT2> >::Type
501  {
503 
507 
508  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
509 
510  const ResultType tmp( serial( rhs ) );
511  multAssign( ~lhs, tmp );
512  }
513  //**********************************************************************************************
514 
515  //**Multiplication assignment to sparse vectors*************************************************
516  // No special implementation for the multiplication assignment to sparse vectors.
517  //**********************************************************************************************
518 
519  //**SMP assignment to dense vectors*************************************************************
534  template< typename VT2 > // Type of the target dense vector
535  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
537  {
539 
540  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
541 
543 
544  // Evaluation of the left-hand side sparse vector operand
545  LT x( rhs.vec_ );
546  if( x.nonZeros() == 0UL ) {
547  reset( ~lhs );
548  return;
549  }
550 
551  // Evaluation of the right-hand side dense matrix operand
552  RT A( rhs.mat_ );
553 
554  // Checking the evaluated operands
555  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
556  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
557  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
558  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
559 
560  // Performing the sparse vector-dense matrix multiplication
561  smpAssign( ~lhs, x * A );
562  }
564  //**********************************************************************************************
565 
566  //**SMP assignment to sparse vectors************************************************************
581  template< typename VT2 > // Type of the target sparse vector
582  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
583  smpAssign( SparseVector<VT2,true>& lhs, const TSVecTDMatMultExpr& rhs )
584  {
586 
590 
591  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
592 
593  const ResultType tmp( rhs );
594  smpAssign( ~lhs, tmp );
595  }
597  //**********************************************************************************************
598 
599  //**SMP addition assignment to dense vectors****************************************************
613  template< typename VT2 > // Type of the target dense vector
614  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
616  {
618 
619  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
620 
622 
623  // Evaluation of the left-hand side sparse vector operand
624  LT x( rhs.vec_ );
625  if( x.nonZeros() == 0UL ) return;
626 
627  // Evaluation of the right-hand side dense matrix operand
628  RT A( rhs.mat_ );
629 
630  // Checking the evaluated operands
631  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
632  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
633  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
634  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
635 
636  // Performing the sparse vector-dense matrix multiplication
637  smpAddAssign( ~lhs, x * A );
638  }
639  //**********************************************************************************************
640 
641  //**SMP addition assignment to sparse vectors***************************************************
642  // No special implementation for the SMP addition assignment to sparse vectors.
643  //**********************************************************************************************
644 
645  //**SMP subtraction assignment to dense vectors*************************************************
659  template< typename VT2 > // Type of the target dense vector
660  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
662  {
664 
665  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
666 
668 
669  // Evaluation of the left-hand side sparse vector operand
670  LT x( rhs.vec_ );
671  if( x.nonZeros() == 0UL ) return;
672 
673  // Evaluation of the right-hand side dense matrix operand
674  RT A( rhs.mat_ );
675 
676  // Checking the evaluated operands
677  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
678  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
679  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
680  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
681 
682  // Performing the sparse vector-dense matrix multiplication
683  smpSubAssign( ~lhs, x * A );
684  }
685  //**********************************************************************************************
686 
687  //**SMP subtraction assignment to sparse vectors************************************************
688  // No special implementation for the SMP subtraction assignment to sparse vectors.
689  //**********************************************************************************************
690 
691  //**SMP multiplication assignment to dense vectors**********************************************
706  template< typename VT2 > // Type of the target dense vector
707  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
709  {
711 
715 
716  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
717 
718  const ResultType tmp( rhs );
719  smpMultAssign( ~lhs, tmp );
720  }
721  //**********************************************************************************************
722 
723  //**SMP multiplication assignment to sparse vectors*********************************************
724  // No special implementation for the SMP multiplication assignment to sparse vectors.
725  //**********************************************************************************************
726 
727  //**Compile time checks*************************************************************************
734  //**********************************************************************************************
735 };
736 //*************************************************************************************************
737 
738 
739 
740 
741 //=================================================================================================
742 //
743 // GLOBAL BINARY ARITHMETIC OPERATORS
744 //
745 //=================================================================================================
746 
747 //*************************************************************************************************
778 template< typename T1, typename T2 >
779 inline const typename DisableIf< IsMatMatMultExpr<T2>, TSVecTDMatMultExpr<T1,T2> >::Type
781 {
783 
784  if( (~vec).size() != (~mat).rows() )
785  throw std::invalid_argument( "Vector and matrix sizes do not match" );
786 
787  return TSVecTDMatMultExpr<T1,T2>( ~vec, ~mat );
788 }
789 //*************************************************************************************************
790 
791 
792 
793 
794 //=================================================================================================
795 //
796 // EXPRESSION TRAIT SPECIALIZATIONS
797 //
798 //=================================================================================================
799 
800 //*************************************************************************************************
802 template< typename VT, typename MT, bool AF >
803 struct SubvectorExprTrait< TSVecTDMatMultExpr<VT,MT>, AF >
804 {
805  public:
806  //**********************************************************************************************
807  typedef typename MultExprTrait< VT, typename SubmatrixExprTrait<const MT,AF>::Type >::Type Type;
808  //**********************************************************************************************
809 };
811 //*************************************************************************************************
812 
813 } // namespace blaze
814 
815 #endif
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TSVecTDMatMultExpr.h:286
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4599
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSVecTDMatMultExpr.h:264
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:4329
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:199
#define BLAZE_CONSTRAINT_MUST_BE_DENSE_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a dense, N-dimensional matrix type...
Definition: DenseMatrix.h:79
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSVecTDMatMultExpr.h:162
MT::ResultType MRT
Result type of the right-hand side dense matrix expression.
Definition: TSVecTDMatMultExpr.h:98
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2408
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:251
Header file for the DenseVector base class.
ResultType::ElementType ElementType
Resulting element type.
Definition: TSVecTDMatMultExpr.h:152
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:690
Header file for the Computation base class.
Header file for the RequiresEvaluation type trait.
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
Constraint on the data type.
VT::ResultType VRT
Result type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:97
Constraint on the data type.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpMultAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP multiplication assignment of a transpose sparse vector-transpose dense matrix multiplication to a...
Definition: TSVecTDMatMultExpr.h:708
Header file for the MultExprTrait class template.
Compile time check to query the requirement to evaluate an expression.Via this type trait it is possi...
Definition: RequiresEvaluation.h:90
SelectType< evaluateVector, const VRT, VCT >::Type LT
Type for the assignment of the left-hand side sparse vector operand.
Definition: TSVecTDMatMultExpr.h:165
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:253
friend EnableIf< UseSMPAssign< VT2 > >::Type smpSubAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP subtraction assignment of a transpose sparse vector-transpose dense matrix multiplication to a de...
Definition: TSVecTDMatMultExpr.h:661
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.
Header file for the multiplication trait.
RightOperand rightOperand() const
Returns the right-hand side transpose dense matrix operand.
Definition: TSVecTDMatMultExpr.h:252
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a column-major dense or sparse matri...
Definition: StorageOrder.h:161
VT::CompositeType VCT
Composite type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:99
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
MultTrait< VRT, MRT >::Type ResultType
Result type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:150
friend EnableIf< UseAssign< VT2 > >::Type multAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Multiplication assignment of a transpose sparse vector-transpose dense matrix multiplication to a den...
Definition: TSVecTDMatMultExpr.h:500
Header file for the IsMatMatMultExpr type trait class.
const size_t SMP_TSVECTDMATMULT_THRESHOLD
SMP sparse vector/column-major dense matrix multiplication threshold.This threshold specifies when a ...
Definition: Thresholds.h:483
LeftOperand vec_
Left-hand side sparse vector of the multiplication expression.
Definition: TSVecTDMatMultExpr.h:303
void assign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the assignment of a matrix to a matrix.
Definition: Matrix.h:271
LeftOperand leftOperand() const
Returns the left-hand side sparse vector operand.
Definition: TSVecTDMatMultExpr.h:242
SelectType< useAssign, const ResultType, const TSVecTDMatMultExpr & >::Type CompositeType
Data type for composite expression templates.
Definition: TSVecTDMatMultExpr.h:156
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:153
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
#define BLAZE_CONSTRAINT_MUST_BE_SPARSE_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a sparse, N-dimensional vector type...
Definition: SparseVector.h:79
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSVecTDMatMultExpr.h:276
Constraint on the data type.
#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.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:151
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
Constraint on the data type.
Header file for the EnableIf class template.
Header file for the serial shim.
RightOperand mat_
Right-hand side dense matrix of the multiplication expression.
Definition: TSVecTDMatMultExpr.h:304
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:92
SelectType< evaluateMatrix, const MRT, MCT >::Type RT
Type for the assignment of the left-hand side dense matrix operand.
Definition: TSVecTDMatMultExpr.h:168
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type LeftOperand
Composite type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:159
Header file for the SubmatrixExprTrait class template.
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
Header file for run time assertion macros.
friend EnableIf< UseAssign< VT2 > >::Type subAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Subtraction assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense ...
Definition: TSVecTDMatMultExpr.h:453
friend EnableIf< UseAssign< VT2 > >::Type addAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Addition assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense vec...
Definition: TSVecTDMatMultExpr.h:406
Base template for the MultTrait class.
Definition: MultTrait.h:141
MT::CompositeType MCT
Composite type of the right-hand side dense matrix expression.
Definition: TSVecTDMatMultExpr.h:100
Substitution Failure Is Not An Error (SFINAE) class.The EnableIf class template is an auxiliary tool ...
Definition: EnableIf.h:184
Header file for the reset shim.
Header file for the TVecMatMultExpr base class.
TSVecTDMatMultExpr(const VT &vec, const MT &mat)
Constructor for the TSVecTDMatMultExpr class.
Definition: TSVecTDMatMultExpr.h:186
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TSVecTDMatMultExpr.h:296
Header file for the RemoveReference type trait.
Expression object for transpose sparse vector-transpose dense matrix multiplications.The TSVecTDMatMultExpr class represents the compile time expression for multiplications between transpose sparse vectors and column-major dense matrices.
Definition: Forward.h:149
#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
TSVecTDMatMultExpr< VT, MT > This
Type of this TSVecTDMatMultExpr instance.
Definition: TSVecTDMatMultExpr.h:149
Header file for the IsComputation type trait class.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpAddAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP addition assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense...
Definition: TSVecTDMatMultExpr.h:615
Base class for sparse vectors.The SparseVector class is a base class for all arbitrarily sized (N-dim...
Definition: Forward.h:108
#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
This ResultType
Result type for expression template evaluations.
Definition: CompressedMatrix.h:2403
size_t size() const
Returns the current size/dimension of the vector.
Definition: TSVecTDMatMultExpr.h:232
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TSVecTDMatMultExpr.h:200
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.
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:154
#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
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.