All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Groups Pages
TSMatTSMatAddExpr.h
Go to the documentation of this file.
1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
61 #include <blaze/util/Assert.h>
63 #include <blaze/util/SelectType.h>
64 #include <blaze/util/Types.h>
66 
67 
68 namespace blaze {
69 
70 //=================================================================================================
71 //
72 // CLASS TSMATTSMATADDEXPR
73 //
74 //=================================================================================================
75 
76 //*************************************************************************************************
83 template< typename MT1 // Type of the left-hand side sparse matrix
84  , typename MT2 > // Type of the right-hand side sparse matrix
85 class TSMatTSMatAddExpr : public SparseMatrix< TSMatTSMatAddExpr<MT1,MT2>, true >
86  , private MatMatAddExpr
87  , private Computation
88 {
89  private:
90  //**Type definitions****************************************************************************
91  typedef typename MT1::ResultType RT1;
92  typedef typename MT2::ResultType RT2;
93  typedef typename MT1::ReturnType RN1;
94  typedef typename MT2::ReturnType RN2;
95  typedef typename MT1::CompositeType CT1;
96  typedef typename MT2::CompositeType CT2;
97  //**********************************************************************************************
98 
99  //**Return type evaluation**********************************************************************
101 
106  enum { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value };
107 
110  //**********************************************************************************************
111 
112  public:
113  //**Type definitions****************************************************************************
119 
122 
124  typedef const ResultType CompositeType;
125 
127  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
128 
130  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
131  //**********************************************************************************************
132 
133  //**Constructor*********************************************************************************
139  explicit inline TSMatTSMatAddExpr( const MT1& lhs, const MT2& rhs )
140  : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
141  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
142  {
143  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
144  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
145  }
146  //**********************************************************************************************
147 
148  //**Access operator*****************************************************************************
155  inline ReturnType operator()( size_t i, size_t j ) const {
156  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
157  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
158  return lhs_(i,j) + rhs_(i,j);
159  }
160  //**********************************************************************************************
161 
162  //**Rows function*******************************************************************************
167  inline size_t rows() const {
168  return lhs_.rows();
169  }
170  //**********************************************************************************************
171 
172  //**Columns function****************************************************************************
177  inline size_t columns() const {
178  return lhs_.columns();
179  }
180  //**********************************************************************************************
181 
182  //**NonZeros function***************************************************************************
187  inline size_t nonZeros() const {
188  return lhs_.nonZeros() + rhs_.nonZeros();
189  }
190  //**********************************************************************************************
191 
192  //**NonZeros function***************************************************************************
198  inline size_t nonZeros( size_t i ) const {
199  return lhs_.nonZeros(i) + rhs_.nonZeros(i);
200  }
201  //**********************************************************************************************
202 
203  //**Left operand access*************************************************************************
208  inline LeftOperand leftOperand() const {
209  return lhs_;
210  }
211  //**********************************************************************************************
212 
213  //**Right operand access************************************************************************
218  inline RightOperand rightOperand() const {
219  return rhs_;
220  }
221  //**********************************************************************************************
222 
223  //**********************************************************************************************
229  template< typename T >
230  inline bool canAlias( const T* alias ) const {
231  return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
232  }
233  //**********************************************************************************************
234 
235  //**********************************************************************************************
241  template< typename T >
242  inline bool isAliased( const T* alias ) const {
243  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
244  }
245  //**********************************************************************************************
246 
247  private:
248  //**Member variables****************************************************************************
251  //**********************************************************************************************
252 
253  //**Assignment to dense matrices****************************************************************
266  template< typename MT // Type of the target dense matrix
267  , bool SO > // Storage order of the target dense matrix
268  friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
269  {
271 
272  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
273  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
274 
275  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
276 
277  assign( ~lhs, rhs.lhs_ );
278 
280  addAssign( ~lhs, rhs.rhs_ );
281  }
282  else
283  {
284  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
285 
286  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
287  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
288  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
289  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
290 
291  for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
292  const RightIterator end( B.end(j) );
293  for( RightIterator element=B.begin(j); element!=end; ++element ) {
294  if( isDefault( (~lhs)(element->index(),j) ) )
295  (~lhs)(element->index(),j) = element->value();
296  else
297  (~lhs)(element->index(),j) += element->value();
298  }
299  }
300  }
301  }
303  //**********************************************************************************************
304 
305  //**Assignment to row-major sparse matrices*****************************************************
318  template< typename MT > // Type of the target sparse matrix
319  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
320  {
322 
323  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
324  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
325 
326  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
327  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
328 
329  CT1 A( rhs.lhs_ ); // Evaluation of the left-hand side sparse matrix operand
330  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
331 
332  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
333  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
334  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
335  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
336  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
337  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
338 
339  const size_t m( rhs.rows() );
340  const size_t n( rhs.columns() );
341 
342  // Counting the number of elements per column
343  std::vector<size_t> nonzeros( m, 0UL );
344  for( size_t j=0UL; j<n; ++j )
345  {
346  const LeftIterator lend( A.end(j) );
347  const RightIterator rend( B.end(j) );
348 
349  LeftIterator l( A.begin(j) );
350  RightIterator r( B.begin(j) );
351 
352  while( l != lend && r != rend )
353  {
354  if( l->index() < r->index() ) {
355  ++nonzeros[l->index()];
356  ++l;
357  }
358  else if( l->index() > r->index() ) {
359  ++nonzeros[r->index()];
360  ++r;
361  }
362  else {
363  ++nonzeros[l->index()];
364  ++l;
365  ++r;
366  }
367  }
368 
369  while( l != lend ) {
370  ++nonzeros[l->index()];
371  ++l;
372  }
373 
374  while( r != rend ) {
375  ++nonzeros[r->index()];
376  ++r;
377  }
378  }
379 
380  // Resizing the left-hand side sparse matrix
381  for( size_t i=0UL; i<m; ++i ) {
382  (~lhs).reserve( i, nonzeros[i] );
383  }
384 
385  // Performing the matrix addition
386  for( size_t j=0UL; j<n; ++j )
387  {
388  const LeftIterator lend( A.end(j) );
389  const RightIterator rend( B.end(j) );
390 
391  LeftIterator l( A.begin(j) );
392  RightIterator r( B.begin(j) );
393 
394  while( l != lend && r != rend )
395  {
396  if( l->index() < r->index() ) {
397  (~lhs).append( l->index(), j, l->value() );
398  ++l;
399  }
400  else if( l->index() > r->index() ) {
401  (~lhs).append( r->index(), j, r->value() );
402  ++r;
403  }
404  else {
405  (~lhs).append( l->index(), j, l->value()+r->value() );
406  ++l;
407  ++r;
408  }
409  }
410 
411  while( l != lend ) {
412  (~lhs).append( l->index(), j, l->value() );
413  ++l;
414  }
415 
416  while( r != rend ) {
417  (~lhs).append( r->index(), j, r->value() );
418  ++r;
419  }
420  }
421  }
423  //**********************************************************************************************
424 
425  //**Assignment to column-major sparse matrices**************************************************
438  template< typename MT > // Type of the target sparse matrix
439  friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatTSMatAddExpr& rhs )
440  {
442 
443  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
444  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
445 
446  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
447  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
448 
449  CT1 A( rhs.lhs_ ); // Evaluation of the left-hand side sparse matrix operand
450  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
451 
452  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
453  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
454  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
455  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
456  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
457  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
458 
459  // Final memory allocation (based on the evaluated operands)
460  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
461 
462  // Performing the matrix addition
463  for( size_t j=0UL; j<(~lhs).columns(); ++j )
464  {
465  const LeftIterator lend( A.end(j) );
466  const RightIterator rend( B.end(j) );
467 
468  LeftIterator l( A.begin(j) );
469  RightIterator r( B.begin(j) );
470 
471  while( l != lend && r != rend )
472  {
473  if( l->index() < r->index() ) {
474  (~lhs).append( l->index(), j, l->value() );
475  ++l;
476  }
477  else if( l->index() > r->index() ) {
478  (~lhs).append( r->index(), j, r->value() );
479  ++r;
480  }
481  else {
482  (~lhs).append( l->index(), j, l->value()+r->value() );
483  ++l;
484  ++r;
485  }
486  }
487 
488  while( l != lend ) {
489  (~lhs).append( l->index(), j, l->value() );
490  ++l;
491  }
492 
493  while( r != rend ) {
494  (~lhs).append( r->index(), j, r->value() );
495  ++r;
496  }
497 
498  (~lhs).finalize( j );
499  }
500  }
502  //**********************************************************************************************
503 
504  //**Addition assignment to dense matrices*******************************************************
517  template< typename MT // Type of the target dense matrix
518  , bool SO > // Storage order of the target dense matrix
519  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
520  {
522 
523  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
524  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
525 
526  addAssign( ~lhs, rhs.lhs_ );
527  addAssign( ~lhs, rhs.rhs_ );
528  }
530  //**********************************************************************************************
531 
532  //**Addition assignment to sparse matrices******************************************************
533  // No special implementation for the addition assignment to sparse matrices.
534  //**********************************************************************************************
535 
536  //**Subtraction assignment to dense matrices****************************************************
549  template< typename MT // Type of the target dense matrix
550  , bool SO > // Storage order of the target dense matrix
551  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
552  {
554 
555  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
556  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
557 
558  subAssign( ~lhs, rhs.lhs_ );
559  subAssign( ~lhs, rhs.rhs_ );
560  }
562  //**********************************************************************************************
563 
564  //**Subtraction assignment to sparse matrices***************************************************
565  // No special implementation for the subtraction assignment to sparse matrices.
566  //**********************************************************************************************
567 
568  //**Multiplication assignment to dense matrices*************************************************
569  // No special implementation for the multiplication assignment to dense matrices.
570  //**********************************************************************************************
571 
572  //**Multiplication assignment to sparse matrices************************************************
573  // No special implementation for the multiplication assignment to sparse matrices.
574  //**********************************************************************************************
575 
576  //**Compile time checks*************************************************************************
583  //**********************************************************************************************
584 };
585 //*************************************************************************************************
586 
587 
588 
589 
590 //=================================================================================================
591 //
592 // GLOBAL BINARY ARITHMETIC OPERATORS
593 //
594 //=================================================================================================
595 
596 //*************************************************************************************************
622 template< typename T1 // Type of the left-hand side sparse matrix
623  , typename T2 > // Type of the right-hand side sparse matrix
624 inline const TSMatTSMatAddExpr<T1,T2>
626 {
628 
629  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
630  throw std::invalid_argument( "Matrix sizes do not match" );
631 
632  return TSMatTSMatAddExpr<T1,T2>( ~lhs, ~rhs );
633 }
634 //*************************************************************************************************
635 
636 
637 
638 
639 //=================================================================================================
640 //
641 // EXPRESSION TRAIT SPECIALIZATIONS
642 //
643 //=================================================================================================
644 
645 //*************************************************************************************************
647 template< typename MT1, typename MT2 >
648 struct SubmatrixExprTrait< TSMatTSMatAddExpr<MT1,MT2> >
649 {
650  public:
651  //**********************************************************************************************
652  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1>::Type
653  , typename SubmatrixExprTrait<const MT2>::Type >::Type Type;
654  //**********************************************************************************************
655 };
657 //*************************************************************************************************
658 
659 
660 //*************************************************************************************************
662 template< typename MT1, typename MT2 >
663 struct RowExprTrait< TSMatTSMatAddExpr<MT1,MT2> >
664 {
665  public:
666  //**********************************************************************************************
667  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
668  , typename RowExprTrait<const MT2>::Type >::Type Type;
669  //**********************************************************************************************
670 };
672 //*************************************************************************************************
673 
674 
675 //*************************************************************************************************
677 template< typename MT1, typename MT2 >
678 struct ColumnExprTrait< TSMatTSMatAddExpr<MT1,MT2> >
679 {
680  public:
681  //**********************************************************************************************
682  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
683  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
684  //**********************************************************************************************
685 };
687 //*************************************************************************************************
688 
689 } // namespace blaze
690 
691 #endif
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:116
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:103
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:115
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:117
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatTSMatAddExpr.h:155
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:95
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:130
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatTSMatAddExpr.h:118
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:249
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4555
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:196
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:94
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:121
Header file for the ColumnExprTrait class template.
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2375
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:248
Header file for the AddExprTrait class template.
Header file for the Computation base class.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatTSMatAddExpr.h:230
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:127
Header file for the RequiresEvaluation type trait.
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatTSMatAddExpr.h:109
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:92
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:104
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatTSMatAddExpr.h:187
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatTSMatAddExpr.h:198
Header file for the SparseMatrix base class.
Constraint on the data type.
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatTSMatAddExpr.h:167
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 IsTemporary type trait class.
#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
Expression object for transpose sparse matrix-transpose sparse matrix additions.The TSMatTSMatAddExpr...
Definition: Forward.h:140
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2379
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:179
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatTSMatAddExpr.h:242
Constraints on the storage order of matrix types.
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:91
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatTSMatAddExpr.h:124
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatTSMatAddExpr.h:177
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:96
Header file for the SubmatrixExprTrait class template.
const Type & ReturnType
Return type for expression template evaluations.
Definition: CompressedMatrix.h:2374
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.
Base template for the AddTrait class.
Definition: AddTrait.h:141
Header file for the addition trait.
void addAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the addition assignment of a matrix to a matrix.
Definition: Matrix.h:209
void subAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the subtraction assignment of a matrix to matrix.
Definition: Matrix.h:239
Header file for the isDefault shim.
Header file for the MatMatAddExpr base class.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:208
Header file for the RemoveReference type trait.
Header file for the IsComputation type trait class.
TSMatTSMatAddExpr< MT1, MT2 > This
Type of this TSMatTSMatAddExpr instance.
Definition: TSMatTSMatAddExpr.h:114
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:250
#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:2370
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:154
Header file for basic type definitions.
Header file for the IsResizable type trait.
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
TSMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatTSMatAddExpr class.
Definition: TSMatTSMatAddExpr.h:139
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:218
#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
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:93
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.