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DMatTDMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_DMATTDMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_DMATTDMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
61 #include <blaze/util/Assert.h>
64 #include <blaze/util/SelectType.h>
65 #include <blaze/util/Types.h>
66 
67 
68 namespace blaze {
69 
70 //=================================================================================================
71 //
72 // CLASS DMATTDMATADDEXPR
73 //
74 //=================================================================================================
75 
76 //*************************************************************************************************
83 template< typename MT1 // Type of the left-hand side dense matrix
84  , typename MT2 > // Type of the right-hand side dense matrix
85 class DMatTDMatAddExpr : public DenseMatrix< DMatTDMatAddExpr<MT1,MT2>, false >
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  //**Compilation flags***************************************************************************
135  enum { vectorizable = 0 };
136 
138  enum { smpAssignable = MT1::smpAssignable && MT2::smpAssignable };
139  //**********************************************************************************************
140 
141  //**Constructor*********************************************************************************
147  explicit inline DMatTDMatAddExpr( const MT1& lhs, const MT2& rhs )
148  : lhs_( lhs ) // Left-hand side dense matrix of the addition expression
149  , rhs_( rhs ) // Right-hand side dense matrix of the addition expression
150  {
151  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
152  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
153  }
154  //**********************************************************************************************
155 
156  //**Access operator*****************************************************************************
163  inline ReturnType operator()( size_t i, size_t j ) const {
164  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
165  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
166  return lhs_(i,j) + rhs_(i,j);
167  }
168  //**********************************************************************************************
169 
170  //**Rows function*******************************************************************************
175  inline size_t rows() const {
176  return lhs_.rows();
177  }
178  //**********************************************************************************************
179 
180  //**Columns function****************************************************************************
185  inline size_t columns() const {
186  return lhs_.columns();
187  }
188  //**********************************************************************************************
189 
190  //**Left operand access*************************************************************************
195  inline LeftOperand leftOperand() const {
196  return lhs_;
197  }
198  //**********************************************************************************************
199 
200  //**Right operand access************************************************************************
205  inline RightOperand rightOperand() const {
206  return rhs_;
207  }
208  //**********************************************************************************************
209 
210  //**********************************************************************************************
216  template< typename T >
217  inline bool canAlias( const T* alias ) const {
218  return ( IsExpression<MT1>::value && ( RequiresEvaluation<MT1>::value ? lhs_.isAliased( alias ) : lhs_.canAlias( alias ) ) ) ||
219  ( IsExpression<MT2>::value && ( RequiresEvaluation<MT2>::value ? rhs_.isAliased( alias ) : rhs_.canAlias( alias ) ) );
220  }
221  //**********************************************************************************************
222 
223  //**********************************************************************************************
229  template< typename T >
230  inline bool isAliased( const T* alias ) const {
231  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
232  }
233  //**********************************************************************************************
234 
235  //**********************************************************************************************
240  inline bool isAligned() const {
241  return lhs_.isAligned() && rhs_.isAligned();
242  }
243  //**********************************************************************************************
244 
245  //**********************************************************************************************
250  inline bool canSMPAssign() const {
251  return lhs_.canSMPAssign() || rhs_.canSMPAssign() ||
253  }
254  //**********************************************************************************************
255 
256  private:
257  //**Member variables****************************************************************************
260  //**********************************************************************************************
261 
262  //**Assignment to dense matrices****************************************************************
274  template< typename MT // Type of the target dense matrix
275  , bool SO2 > // Storage order of the target dense matrix
276  friend inline void assign( DenseMatrix<MT,SO2>& lhs, const DMatTDMatAddExpr& rhs )
277  {
279 
280  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
281  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
282 
283  // In case non of the two dense operands requires an intermediate evaluation, the
284  // addition expression is assigned directly in a cache-efficient manner.
286  {
287  const size_t m( rhs.rows() );
288  const size_t n( rhs.columns() );
289  const size_t block( 16UL );
290 
291  for( size_t ii=0UL; ii<m; ii+=block ) {
292  const size_t iend( ( m < ii+block )?( m ):( ii+block ) );
293  for( size_t jj=0UL; jj<n; jj+=block ) {
294  const size_t jend( ( n < jj+block )?( n ):( jj+block ) );
295  for( size_t i=ii; i<iend; ++i ) {
296  for( size_t j=jj; j<jend; ++j ) {
297  (~lhs)(i,j) = rhs.lhs_(i,j) + rhs.rhs_(i,j);
298  }
299  }
300  }
301  }
302  }
303 
304  // In case either of the two dense operands requires an intermediate evaluation, the
305  // expression is evaluated in a one- or two-step approach (depending on whether any
306  // of the operands is aliased with the target matrix).
307  else if( !IsExpression<MT1>::value && (~lhs).isAliased( &rhs.lhs_ ) ) {
308  smpAddAssign( ~lhs, rhs.rhs_ );
309  }
310  else if( !IsExpression<MT2>::value && (~lhs).isAliased( &rhs.rhs_ ) ) {
311  smpAddAssign( ~lhs, rhs.lhs_ );
312  }
313  else {
314  smpAssign ( ~lhs, rhs.lhs_ );
315  smpAddAssign( ~lhs, rhs.rhs_ );
316  }
317  }
319  //**********************************************************************************************
320 
321  //**Assignment to sparse matrices***************************************************************
333  template< typename MT // Type of the target sparse matrix
334  , bool SO2 > // Storage order of the target sparse matrix
335  friend inline void assign( SparseMatrix<MT,SO2>& lhs, const DMatTDMatAddExpr& rhs )
336  {
338 
339  typedef typename SelectType< SO2, OppositeType, ResultType >::Type TmpType;
340 
347 
348  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
349  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
350 
351  const TmpType tmp( rhs );
352  smpAssign( ~lhs, tmp );
353  }
355  //**********************************************************************************************
356 
357  //**Addition assignment to dense matrices*******************************************************
369  template< typename MT // Type of the target dense matrix
370  , bool SO2 > // Storage order of the target dense matrix
371  friend inline void addAssign( DenseMatrix<MT,SO2>& lhs, const DMatTDMatAddExpr& rhs )
372  {
374 
375  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
376  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
377 
378  // In case non of the two dense operands requires an intermediate evaluation, the
379  // addition expression is assigned directly in a cache-efficient manner.
380  if( !RequiresEvaluation<MT1>::value && !RequiresEvaluation<MT2>::value )
381  {
382  const size_t m( rhs.rows() );
383  const size_t n( rhs.columns() );
384  const size_t block( 16UL );
385 
386  for( size_t ii=0UL; ii<m; ii+=block ) {
387  const size_t iend( ( m < ii+block )?( m ):( ii+block ) );
388  for( size_t jj=0UL; jj<n; jj+=block ) {
389  const size_t jend( ( n < jj+block )?( n ):( jj+block ) );
390  for( size_t i=ii; i<iend; ++i ) {
391  for( size_t j=jj; j<jend; ++j ) {
392  (~lhs)(i,j) += rhs.lhs_(i,j) + rhs.rhs_(i,j);
393  }
394  }
395  }
396  }
397  }
398 
399  // In case either of the two dense operands requires an intermediate evaluation, the
400  // expression is evaluated in a two-step approach.
401  else
402  {
403  smpAddAssign( ~lhs, rhs.lhs_ );
404  smpAddAssign( ~lhs, rhs.rhs_ );
405  }
406  }
408  //**********************************************************************************************
409 
410  //**Addition assignment to sparse matrices******************************************************
411  // No special implementation for the addition assignment to sparse matrices.
412  //**********************************************************************************************
413 
414  //**Subtraction assignment to dense matrices****************************************************
426  template< typename MT // Type of the target dense matrix
427  , bool SO2 > // Storage order of the target dense matrix
428  friend inline void subAssign( DenseMatrix<MT,SO2>& lhs, const DMatTDMatAddExpr& rhs )
429  {
431 
432  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
433  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
434 
435  // In case non of the two dense operands requires an intermediate evaluation, the
436  // addition expression is assigned directly in a cache-efficient manner.
437  if( !RequiresEvaluation<MT1>::value && !RequiresEvaluation<MT2>::value )
438  {
439  const size_t m( rhs.rows() );
440  const size_t n( rhs.columns() );
441  const size_t block( 16UL );
442 
443  for( size_t ii=0UL; ii<m; ii+=block ) {
444  const size_t iend( ( m < ii+block )?( m ):( ii+block ) );
445  for( size_t jj=0UL; jj<n; jj+=block ) {
446  const size_t jend( ( n < jj+block )?( n ):( jj+block ) );
447  for( size_t i=ii; i<iend; ++i ) {
448  for( size_t j=jj; j<jend; ++j ) {
449  (~lhs)(i,j) -= rhs.lhs_(i,j) + rhs.rhs_(i,j);
450  }
451  }
452  }
453  }
454  }
455 
456  // In case either of the two dense operands requires an intermediate evaluation, the
457  // expression is evaluated in a two-step approach.
458  else
459  {
460  smpSubAssign( ~lhs, rhs.lhs_ );
461  smpSubAssign( ~lhs, rhs.rhs_ );
462  }
463  }
465  //**********************************************************************************************
466 
467  //**Subtraction assignment to sparse matrices***************************************************
468  // No special implementation for the subtraction assignment to sparse matrices.
469  //**********************************************************************************************
470 
471  //**Multiplication assignment to dense matrices*************************************************
472  // No special implementation for the multiplication assignment to dense matrices.
473  //**********************************************************************************************
474 
475  //**Multiplication assignment to sparse matrices************************************************
476  // No special implementation for the multiplication assignment to sparse matrices.
477  //**********************************************************************************************
478 
479  //**Compile time checks*************************************************************************
486  //**********************************************************************************************
487 };
488 //*************************************************************************************************
489 
490 
491 
492 
493 //=================================================================================================
494 //
495 // GLOBAL BINARY ARITHMETIC OPERATORS
496 //
497 //=================================================================================================
498 
499 //*************************************************************************************************
528 template< typename T1 // Type of the left-hand side dense matrix
529  , typename T2 > // Type of the right-hand side dense matrix
530 inline const DMatTDMatAddExpr<T1,T2>
532 {
534 
535  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
536  throw std::invalid_argument( "Matrix sizes do not match" );
537 
538  return DMatTDMatAddExpr<T1,T2>( ~lhs, ~rhs );
539 }
540 //*************************************************************************************************
541 
542 
543 //*************************************************************************************************
572 template< typename T1 // Type of the left-hand side dense matrix
573  , typename T2 > // Type of the right-hand side dense matrix
574 inline const DMatTDMatAddExpr<T2,T1>
576 {
578 
579  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
580  throw std::invalid_argument( "Matrix sizes do not match" );
581 
582  return DMatTDMatAddExpr<T2,T1>( ~rhs, ~lhs );
583 }
584 //*************************************************************************************************
585 
586 
587 
588 
589 //=================================================================================================
590 //
591 // EXPRESSION TRAIT SPECIALIZATIONS
592 //
593 //=================================================================================================
594 
595 //*************************************************************************************************
597 template< typename MT1, typename MT2, bool AF >
598 struct SubmatrixExprTrait< DMatTDMatAddExpr<MT1,MT2>, AF >
599 {
600  public:
601  //**********************************************************************************************
602  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
603  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
604  //**********************************************************************************************
605 };
607 //*************************************************************************************************
608 
609 
610 //*************************************************************************************************
612 template< typename MT1, typename MT2 >
613 struct RowExprTrait< DMatTDMatAddExpr<MT1,MT2> >
614 {
615  public:
616  //**********************************************************************************************
617  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
618  , typename RowExprTrait<const MT2>::Type >::Type Type;
619  //**********************************************************************************************
620 };
622 //*************************************************************************************************
623 
624 
625 //*************************************************************************************************
627 template< typename MT1, typename MT2 >
628 struct ColumnExprTrait< DMatTDMatAddExpr<MT1,MT2> >
629 {
630  public:
631  //**********************************************************************************************
632  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
633  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
634  //**********************************************************************************************
635 };
637 //*************************************************************************************************
638 
639 } // namespace blaze
640 
641 #endif
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:103
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
const size_t SMP_DMATTDMATADD_THRESHOLD
SMP row-major dense matrix/column-major dense matrix addition threshold.This threshold represents the...
Definition: Thresholds.h:377
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
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:197
#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
Header file for the ColumnExprTrait class template.
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: DMatTDMatAddExpr.h:116
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: DMatTDMatAddExpr.h:117
Header file for the sparse matrix SMP implementation.
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
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: DMatTDMatAddExpr.h:115
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: DMatTDMatAddExpr.h:217
Header file for the RequiresEvaluation type trait.
MT1::CompositeType CT1
Composite type of the left-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:95
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
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.
DMatTDMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the DMatTDMatAddExpr class.
Definition: DMatTDMatAddExpr.h:147
Constraint on the data type.
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
MT1::ReturnType RN1
Return type of the left-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:93
size_t rows() const
Returns the current number of rows of the matrix.
Definition: DMatTDMatAddExpr.h:175
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.
const ResultType CompositeType
Data type for composite expression templates.
Definition: DMatTDMatAddExpr.h:124
#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
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: DMatTDMatAddExpr.h:121
Header file for the dense matrix SMP implementation.
Header file for the DenseMatrix base class.
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
Base class for all matrix/matrix addition expression templates.The MatMatAddExpr class serves as a ta...
Definition: MatMatAddExpr.h:65
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: DMatTDMatAddExpr.h:109
#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
size_t columns() const
Returns the current number of columns of the matrix.
Definition: DMatTDMatAddExpr.h:185
Constraints on the storage order of matrix types.
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: DMatTDMatAddExpr.h:230
DMatTDMatAddExpr< MT1, MT2 > This
Type of this DMatTDMatAdd instance.
Definition: DMatTDMatAddExpr.h:114
MT2::ResultType RT2
Result type of the right-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:92
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
Header file for the SubmatrixExprTrait class template.
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:130
#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
const Type & ReturnType
Return type for expression template evaluations.
Definition: CompressedMatrix.h:2383
LeftOperand lhs_
Left-hand side dense matrix of the addition expression.
Definition: DMatTDMatAddExpr.h:258
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
ResultType::ElementType ElementType
Resulting element type.
Definition: DMatTDMatAddExpr.h:118
RightOperand rhs_
Right-hand side dense matrix of the addition expression.
Definition: DMatTDMatAddExpr.h:259
RightOperand rightOperand() const
Returns the right-hand side transpose dense matrix operand.
Definition: DMatTDMatAddExpr.h:205
LeftOperand leftOperand() const
Returns the left-hand side dense matrix operand.
Definition: DMatTDMatAddExpr.h:195
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
MT2::ReturnType RN2
Return type of the right-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:94
Header file for the MatMatAddExpr base class.
#define BLAZE_CONSTRAINT_MATRICES_MUST_HAVE_SAME_STORAGE_ORDER(T1, T2)
Constraint on the data type.In case either of the two given data types T1 or T2 is not a matrix type ...
Definition: StorageOrder.h:283
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:127
MT1::ResultType RT1
Result type of the left-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:91
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: DMatTDMatAddExpr.h:163
Base class for all compute expression templates.The Computation class serves as a tag for all computa...
Definition: Computation.h:59
#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
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: DMatTDMatAddExpr.h:240
This ResultType
Result type for expression template evaluations.
Definition: CompressedMatrix.h:2379
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.
MT2::CompositeType CT2
Composite type of the right-hand side dense matrix expression.
Definition: DMatTDMatAddExpr.h:96
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
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: DMatTDMatAddExpr.h:250
Compile time check whether the given type is an expression template.This type trait class tests wheth...
Definition: IsExpression.h:87
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.
Expression object for dense matrix-transpose dense matrix additions.The DMatTDMatAddExpr class repres...
Definition: DMatTDMatAddExpr.h:85