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TSMatDVecMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSMATDVECMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSMATDVECMULTEXPR_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 TSMATDVECMULTEXPR
81 //
82 //=================================================================================================
83 
84 //*************************************************************************************************
91 template< typename MT // Type of the left-hand side sparse matrix
92  , typename VT > // Type of the right-hand side dense vector
93 class TSMatDVecMultExpr : public DenseVector< TSMatDVecMultExpr<MT,VT>, false >
94  , private MatVecMultExpr
95  , private Computation
96 {
97  private:
98  //**Type definitions****************************************************************************
99  typedef typename MT::ResultType MRT;
100  typedef typename VT::ResultType VRT;
101  typedef typename MT::CompositeType MCT;
102  typedef typename VT::CompositeType VCT;
103  //**********************************************************************************************
104 
105  //**********************************************************************************************
107  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
108  //**********************************************************************************************
109 
110  //**********************************************************************************************
112  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
113  //**********************************************************************************************
114 
115  //**********************************************************************************************
117 
120  template< typename T1, typename T2, typename T3 >
121  struct UseSMPAssignKernel {
122  enum { value = evaluateMatrix || evaluateVector };
123  };
125  //**********************************************************************************************
126 
127  public:
128  //**Type definitions****************************************************************************
133  typedef const ElementType ReturnType;
134  typedef const ResultType CompositeType;
135 
137  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type LeftOperand;
138 
140  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type RightOperand;
141 
143  typedef MCT LT;
144 
147  //**********************************************************************************************
148 
149  //**Compilation flags***************************************************************************
151  enum { vectorizable = 0 };
152 
154  enum { smpAssignable = !evaluateMatrix && !evaluateVector };
155  //**********************************************************************************************
156 
157  //**Constructor*********************************************************************************
163  explicit inline TSMatDVecMultExpr( const MT& mat, const VT& vec )
164  : mat_( mat ) // Left-hand side sparse matrix of the multiplication expression
165  , vec_( vec ) // Right-hand side dense vector of the multiplication expression
166  {
167  BLAZE_INTERNAL_ASSERT( mat_.columns() == vec_.size(), "Invalid matrix and vector sizes" );
168  }
169  //**********************************************************************************************
170 
171  //**Subscript operator**************************************************************************
177  inline ReturnType operator[]( size_t index ) const {
178  BLAZE_INTERNAL_ASSERT( index < mat_.rows(), "Invalid vector access index" );
179 
180  ElementType res;
181 
182  if( vec_.size() > 0UL ) {
183  res = mat_(index,0UL) * vec_[0UL];
184  for( size_t j=1UL; j<vec_.size(); ++j )
185  res += mat_(index,j) * vec_[j];
186  }
187  else {
188  reset( res );
189  }
190 
191  return res;
192  }
193  //**********************************************************************************************
194 
195  //**Size function*******************************************************************************
200  inline size_t size() const {
201  return mat_.rows();
202  }
203  //**********************************************************************************************
204 
205  //**Left operand access*************************************************************************
210  inline LeftOperand leftOperand() const {
211  return mat_;
212  }
213  //**********************************************************************************************
214 
215  //**Right operand access************************************************************************
220  inline RightOperand rightOperand() const {
221  return vec_;
222  }
223  //**********************************************************************************************
224 
225  //**********************************************************************************************
231  template< typename T >
232  inline bool canAlias( const T* alias ) const {
233  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
234  }
235  //**********************************************************************************************
236 
237  //**********************************************************************************************
243  template< typename T >
244  inline bool isAliased( const T* alias ) const {
245  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
246  }
247  //**********************************************************************************************
248 
249  //**********************************************************************************************
254  inline bool isAligned() const {
255  return vec_.isAligned();
256  }
257  //**********************************************************************************************
258 
259  //**********************************************************************************************
264  inline bool canSMPAssign() const {
265  return ( size() > SMP_TSMATDVECMULT_THRESHOLD );
266  }
267  //**********************************************************************************************
268 
269  private:
270  //**Member variables****************************************************************************
273  //**********************************************************************************************
274 
275  //**Assignment to dense vectors*****************************************************************
288  template< typename VT1 > // Type of the target dense vector
289  friend inline void assign( DenseVector<VT1,false>& lhs, const TSMatDVecMultExpr& rhs )
290  {
292 
293  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
294 
295  reset( ~lhs );
296 
297  if( rhs.mat_.columns() == 0UL ) return;
298 
299  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
300  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
301 
302  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
303  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
304  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
305  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
306 
307  TSMatDVecMultExpr::selectAssignKernel( ~lhs, A, x );
308  }
310  //**********************************************************************************************
311 
312  //**Serial assignment to dense vectors**********************************************************
326  template< typename VT1 // Type of the left-hand side target vector
327  , typename MT1 // Type of the left-hand side matrix operand
328  , typename VT2 > // Type of the right-hand side vector operand
329  static inline typename DisableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
330  selectAssignKernel( VT1& y, const MT1& A, const VT2& x )
331  {
333 
334  for( size_t j=0UL; j<A.columns(); ++j )
335  {
336  ConstIterator element( A.begin(j) );
337  const ConstIterator end( A.end(j) );
338 
339  for( ; element!=end; ++element ) {
341  isDefault( y[element->index()] ) )
342  y[element->index()] = element->value() * x[j];
343  else
344  y[element->index()] += element->value() * x[j];
345  }
346  }
347  }
349  //**********************************************************************************************
350 
351  //**SMP assignment to dense vectors*************************************************************
365  template< typename VT1 // Type of the left-hand side target vector
366  , typename MT1 // Type of the left-hand side matrix operand
367  , typename VT2 > // Type of the right-hand side vector operand
368  static inline typename EnableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
369  selectAssignKernel( VT1& y, const MT1& A, const VT2& x )
370  {
371  smpAssign( y, A * x );
372  }
374  //**********************************************************************************************
375 
376  //**Assignment to sparse vectors****************************************************************
389  template< typename VT1 > // Type of the target sparse vector
390  friend inline void assign( SparseVector<VT1,false>& lhs, const TSMatDVecMultExpr& rhs )
391  {
393 
397 
398  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
399 
400  const ResultType tmp( rhs );
401  smpAssign( ~lhs, tmp );
402  }
404  //**********************************************************************************************
405 
406  //**Addition assignment to dense vectors********************************************************
422  template< typename VT1 > // Type of the target dense vector
423  friend inline void addAssign( DenseVector<VT1,false>& lhs, const TSMatDVecMultExpr& rhs )
424  {
426 
427  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
428 
429  if( rhs.mat_.columns() == 0UL ) return;
430 
431  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
432  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
433 
434  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
435  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
436  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
437  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
438 
439  TSMatDVecMultExpr::selectAddAssignKernel( ~lhs, A, x );
440  }
442  //**********************************************************************************************
443 
444  //**Serial addition assignment to dense vectors*************************************************
458  template< typename VT1 // Type of the left-hand side target vector
459  , typename MT1 // Type of the left-hand side matrix operand
460  , typename VT2 > // Type of the right-hand side vector operand
461  static inline typename DisableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
462  selectAddAssignKernel( VT1& y, const MT1& A, const VT2& x )
463  {
465 
466  for( size_t j=0UL; j<A.columns(); ++j )
467  {
468  ConstIterator element( A.begin(j) );
469  const ConstIterator end( A.end(j) );
470 
471  for( ; element!=end; ++element ) {
472  y[element->index()] += element->value() * x[j];
473  }
474  }
475  }
477  //**********************************************************************************************
478 
479  //**SMP addition assignment to dense vectors****************************************************
493  template< typename VT1 // Type of the left-hand side target vector
494  , typename MT1 // Type of the left-hand side matrix operand
495  , typename VT2 > // Type of the right-hand side vector operand
496  static inline typename EnableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
497  selectAddAssignKernel( VT1& y, const MT1& A, const VT2& x )
498  {
499  smpAddAssign( y, A * x );
500  }
502  //**********************************************************************************************
503 
504  //**Addition assignment to sparse vectors*******************************************************
505  // No special implementation for the addition assignment to sparse vectors.
506  //**********************************************************************************************
507 
508  //**Subtraction assignment to dense vectors*****************************************************
524  template< typename VT1 > // Type of the target dense vector
525  friend inline void subAssign( DenseVector<VT1,false>& lhs, const TSMatDVecMultExpr& rhs )
526  {
528 
529  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
530 
532 
533  if( rhs.mat_.columns() == 0UL ) return;
534 
535  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
536  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
537 
538  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
539  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
540  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
541  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
542 
543  TSMatDVecMultExpr::selectSubAssignKernel( ~lhs, A, x );
544  }
546  //**********************************************************************************************
547 
548  //**Serial subtraction assignment to dense vectors**********************************************
562  template< typename VT1 // Type of the left-hand side target vector
563  , typename MT1 // Type of the left-hand side matrix operand
564  , typename VT2 > // Type of the right-hand side vector operand
565  static inline typename DisableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
566  selectSubAssignKernel( VT1& y, const MT1& A, const VT2& x )
567  {
569 
570  for( size_t j=0UL; j<A.columns(); ++j )
571  {
572  ConstIterator element( A.begin(j) );
573  const ConstIterator end( A.end(j) );
574 
575  for( ; element!=end; ++element ) {
576  y[element->index()] -= element->value() * x[j];
577  }
578  }
579  }
581  //**********************************************************************************************
582 
583  //**SMP subtraction assignment to dense vectors*************************************************
597  template< typename VT1 // Type of the left-hand side target vector
598  , typename MT1 // Type of the left-hand side matrix operand
599  , typename VT2 > // Type of the right-hand side vector operand
600  static inline typename EnableIf< UseSMPAssignKernel<VT1,MT1,VT2> >::Type
601  selectSubAssignKernel( VT1& y, const MT1& A, const VT2& x )
602  {
603  smpSubAssign( y, A * x );
604  }
606  //**********************************************************************************************
607 
608  //**Subtraction assignment to sparse vectors****************************************************
609  // No special implementation for the subtraction assignment to sparse vectors.
610  //**********************************************************************************************
611 
612  //**Multiplication assignment to dense vectors**************************************************
628  template< typename VT1 > // Type of the target dense vector
629  friend inline void multAssign( DenseVector<VT1,false>& lhs, const TSMatDVecMultExpr& rhs )
630  {
632 
636 
637  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
638 
639  const ResultType tmp( rhs );
640  smpMultAssign( ~lhs, tmp );
641  }
643  //**********************************************************************************************
644 
645  //**Multiplication assignment to sparse vectors*************************************************
646  // No special implementation for the multiplication assignment to sparse vectors.
647  //**********************************************************************************************
648 
649  //**Compile time checks*************************************************************************
656  //**********************************************************************************************
657 };
658 //*************************************************************************************************
659 
660 
661 
662 
663 //=================================================================================================
664 //
665 // GLOBAL BINARY ARITHMETIC OPERATORS
666 //
667 //=================================================================================================
668 
669 //*************************************************************************************************
700 template< typename T1 // Type of the left-hand side sparse matrix
701  , typename T2 > // Type of the right-hand side dense vector
702 inline const typename DisableIf< IsMatMatMultExpr<T1>, TSMatDVecMultExpr<T1,T2> >::Type
704 {
706 
707  if( (~mat).columns() != (~vec).size() )
708  throw std::invalid_argument( "Matrix and vector sizes do not match" );
709 
710  return TSMatDVecMultExpr<T1,T2>( ~mat, ~vec );
711 }
712 //*************************************************************************************************
713 
714 
715 
716 
717 //=================================================================================================
718 //
719 // EXPRESSION TRAIT SPECIALIZATIONS
720 //
721 //=================================================================================================
722 
723 //*************************************************************************************************
725 template< typename MT, typename VT, bool AF >
726 struct SubvectorExprTrait< TSMatDVecMultExpr<MT,VT>, AF >
727 {
728  public:
729  //**********************************************************************************************
730  typedef typename MultExprTrait< typename SubmatrixExprTrait<const MT,AF>::Type, VT >::Type Type;
731  //**********************************************************************************************
732 };
734 //*************************************************************************************************
735 
736 } // namespace blaze
737 
738 #endif
RightOperand vec_
Right-hand side dense vector of the multiplication expression.
Definition: TSMatDVecMultExpr.h:272
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
VT::CompositeType VCT
Composite type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:102
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4579
size_t size() const
Returns the current size/dimension of the vector.
Definition: TSMatDVecMultExpr.h:200
Expression object for transpose sparse matrix-dense vector multiplications.The TSMatDVecMultExpr clas...
Definition: Forward.h:135
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
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
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a column dense or sparse vector type...
Definition: TransposeFlag.h:159
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
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.
LeftOperand mat_
Left-hand side sparse matrix of the multiplication expression.
Definition: TSMatDVecMultExpr.h:271
Header file for the Computation base class.
Header file for the RequiresEvaluation type trait.
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.
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TSMatDVecMultExpr.h:264
const size_t SMP_TSMATDVECMULT_THRESHOLD
SMP column-major sparse matrix/dense vector multiplication threshold.This threshold represents the sy...
Definition: Thresholds.h:256
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
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:251
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.
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatDVecMultExpr.h:134
Header file for the dense vector SMP implementation.
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TSMatDVecMultExpr.h:254
#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 Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2388
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatDVecMultExpr.h:232
MultTrait< MRT, VRT >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:130
Header file for the IsMatMatMultExpr type trait 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 N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
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.
void multAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the multiplication assignment of a matrix to a matrix.
Definition: Matrix.h:269
SelectType< evaluateVector, const VRT, VCT >::Type RT
Type for the assignment of the right-hand side dense vector operand.
Definition: TSMatDVecMultExpr.h:146
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
TSMatDVecMultExpr(const MT &mat, const VT &vec)
Constructor for the TSMatDVecMultExpr class.
Definition: TSMatDVecMultExpr.h:163
Header file for the EnableIf class template.
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type RightOperand
Composite type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:140
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatDVecMultExpr.h:244
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.
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 MultTrait class.
Definition: MultTrait.h:141
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
Header file for the reset shim.
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
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:133
Header file for the isDefault shim.
VT::ResultType VRT
Result type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:100
TSMatDVecMultExpr< MT, VT > This
Type of this TSMatDVecMultExpr instance.
Definition: TSMatDVecMultExpr.h:129
MT::ResultType MRT
Result type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:99
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
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatDVecMultExpr.h:132
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatDVecMultExpr.h:210
#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
MT::CompositeType MCT
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:101
Header file for the IsComputation type trait class.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TSMatDVecMultExpr.h:177
Header file for the sparse vector SMP implementation.
MCT LT
Type for the assignment of the left-hand side sparse matrix operand.
Definition: TSMatDVecMultExpr.h:143
#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:2379
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:154
RightOperand rightOperand() const
Returns the right-hand side dense vector operand.
Definition: TSMatDVecMultExpr.h:220
Header file for basic type definitions.
Header file for the SubvectorExprTrait class template.
Header file for the MatVecMultExpr base class.
Header file for the IsResizable type trait.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:131
Header file for the thresholds for matrix/vector and matrix/matrix multiplications.
#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
#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.
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:137