Commit 3c7d5d42 authored by Jakub Klinkovský's avatar Jakub Klinkovský
Browse files

Minor changes to the Array, ArrayView, Vector and VectorView classes 

- passing indices and array/vector values by reference is useless
- declaring arguments passed by value as "const" is useless
- using "IndexType" and "ValueType" is better than "Index" and "Value",
  because Doxygen creates an automatic link to the description of the
  type
- various other documentation and whitespace fixes
parent 562903aa

src/TNL/Containers/Array.h

+41 −41
Original line number Diff line number Diff line
@@ -136,7 +136,7 @@ class Array 
       * \param size The number of array elements to be allocated.

       * \param allocator The allocator to be associated with this array.

       */

      explicit Array( const IndexType& size, const AllocatorType& allocator = AllocatorType() );

      explicit Array( IndexType size, const AllocatorType& allocator = AllocatorType() );



      /**

       * \brief Constructs an array with given size and value.
@@ -145,7 +145,7 @@ class Array 
       * \param value The value all elements will be set to.

       * \param allocator The allocator to be associated with this array.

       */

      explicit Array( const IndexType& size, const Value& value, const AllocatorType& allocator = AllocatorType() );

      explicit Array( IndexType size, ValueType value, const AllocatorType& allocator = AllocatorType() );



      /**

       * \brief Constructs an array with given size and copies data from given
@@ -155,8 +155,8 @@ class Array 
       * \param size The number of array elements to be copied to the array.

       * \param allocator The allocator to be associated with this array.

       */

      Array( Value* data,

             const IndexType& size,

      Array( ValueType* data,

             IndexType size,

             const AllocatorType& allocator = AllocatorType() );



      /**
@@ -287,7 +287,7 @@ class Array 
       *

       * \param size The new size of the array.

       */

      void resize( Index size );

      void resize( IndexType size );



      /**

       * \brief Method for resizing the array with an initial value.
@@ -306,7 +306,7 @@ class Array 
       * \param size The new size of the array.

       * \param value The value to initialize new elements with.

       */

      void resize( Index size, const ValueType& value );

      void resize( IndexType size, ValueType value );



      /**

       * \brief Method for setting the array size.
@@ -318,14 +318,14 @@ class Array 
       *

       * \param size The new size of the array.

       */

      void setSize( Index size );

      void setSize( IndexType size );



      /**

       * \brief Returns the current array size.

       *

       * This method can be called from device kernels.

       */

      __cuda_callable__ Index getSize() const;

      __cuda_callable__ IndexType getSize() const;



      /**

       * \brief Sets the same size as the size of an existing array.
@@ -448,10 +448,10 @@ class Array 
       * where the array is allocated.

       *

       * \param i The index of the element to be set.

       * \param v The new value of the element.

       * \param value The new value of the element.

       */

      __cuda_callable__

      void setElement( const Index& i, const Value& v );

      void setElement( IndexType i, ValueType value );



      /**

       * \brief Returns the value of the \e i-th element.
@@ -462,7 +462,7 @@ class Array 
       * \param i The index of the element to be returned.

       */

      __cuda_callable__

      Value getElement( const Index& i ) const;

      ValueType getElement( IndexType i ) const;



      /**

       * \brief Accesses the \e i-th element of the array.
@@ -479,7 +479,7 @@ class Array 
       * \param i The index of the element to be accessed.

       * \return Reference to the \e i-th element.

       */

      __cuda_callable__ Value& operator[]( const Index& i );

      __cuda_callable__ Value& operator[]( IndexType i );



      /**

       * \brief Accesses the \e i-th element of the array.
@@ -496,7 +496,7 @@ class Array 
       * \param i The index of the element to be accessed.

       * \return Constant reference to the \e i-th element.

       */

      __cuda_callable__ const Value& operator[]( const Index& i ) const;

      __cuda_callable__ const Value& operator[]( IndexType i ) const;



      /**

       * \brief Copy-assignment operator for copying data from another array.
@@ -557,7 +557,7 @@ class Array 
       *         container, e.g. \ref Array, \ref ArrayView, \ref Vector,

       *         \ref VectorView, etc.

       * \param array Reference to the array-like container.

       * \return \ref True if both arrays are element-wise equal and \ref false

       * \return `true` if both arrays are element-wise equal and `false`

       *         otherwise.

       */

      template< typename ArrayT >
@@ -582,13 +582,13 @@ class Array 
       * or \e end is set to a non-zero value, only elements in the sub-interval

       * `[begin, end)` are set.

       *

       * \param v The new value for the array elements.

       * \param value The new value for the array elements.

       * \param begin The beginning of the array sub-interval. It is 0 by

       *              default.

       * \param end The end of the array sub-interval. The default value is 0

       *            which is, however, replaced with the array size.

       */

      void setValue( const ValueType& v,

      void setValue( ValueType value,

                     IndexType begin = 0,

                     IndexType end = 0 );
@@ -603,8 +603,8 @@ class Array 
       *

       * where

       *

       * \param elementIdx is an index of the array element being currently processed

       * \param elementValue is a value of the array element being currently processed

       * - \e elementIdx is an index of the array element being currently processed

       * - \e elementValue is a value of the array element being currently processed

       *

       * This is performed at the same place where the array is allocated,

       * i.e. it is efficient even on GPU.
@@ -633,8 +633,8 @@ class Array 
       *

       * where

       *

       * \param elementIdx is an index of the array element being currently processed

       * \param elementValue is a value of the array element being currently processed

       * - \e elementIdx is an index of the array element being currently processed

       * - \e elementValue is a value of the array element being currently processed

       *

       * This is performed at the same place where the array is allocated,

       * i.e. it is efficient even on GPU.
@@ -663,8 +663,8 @@ class Array 
       *

       * where

       *

       * \param elementIdx is an index of the array element being currently processed

       * \param elementValue is a value of the array element being currently processed

       * - \e elementIdx is an index of the array element being currently processed

       * - \e elementValue is a value of the array element being currently processed

       *

       * This is performed at the same place where the array is allocated,

       * i.e. it is efficient even on GPU.
@@ -691,8 +691,8 @@ class Array 
       *

       * where

       *

       * \param elementIdx is an index of the array element being currently processed

       * \param elementValue is a value of the array element being currently processed

       * - \e elementIdx is an index of the array element being currently processed

       * - \e elementValue is a value of the array element being currently processed

       *

       * This is performed at the same place where the array is allocated,

       * i.e. it is efficient even on GPU.
@@ -727,7 +727,7 @@ class Array 
        * being currently processed:

        *

        * ```

        * auto dataFetcher1 = [=] __cuda_callable__ ( Index idx, Value& value ) -> Result { return ... };

        * auto dataFetcher1 = [=] __cuda_callable__ ( IndexType idx, Value& value ) -> Result { return ... };

        * ```

        *

        * The reduction lambda function takes two variables which are supposed to be reduced:
@@ -744,7 +744,7 @@ class Array 
      template< typename Fetch,

                typename Reduce,

                typename Result >

      Result reduceElements( const Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero );

      Result reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero );



       /**

        * \brief Computes reduction with array elements on interval [ \e begin, \e end) for constant instances.
@@ -765,7 +765,7 @@ class Array 
        * being currently processed:

        *

        * ```

        * auto dataFetcher1 = [=] __cuda_callable__ ( Index idx, Value& value ) -> Result { return ... };

        * auto dataFetcher1 = [=] __cuda_callable__ ( IndexType idx, Value& value ) -> Result { return ... };

        * ```

        *

        * The reduction lambda function takes two variables which are supposed to be reduced:
@@ -782,7 +782,7 @@ class Array 
      template< typename Fetch,

                typename Reduce,

                typename Result >

      Result reduceElements( const Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const;

      Result reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const;



       /**

        * \brief Computes reduction with all array elements.
@@ -801,7 +801,7 @@ class Array 
        * being currently processed:

        *

        * ```

        * auto dataFetcher1 = [=] __cuda_callable__ ( Index idx, Value& value ) -> Result { return ... };

        * auto dataFetcher1 = [=] __cuda_callable__ ( IndexType idx, Value& value ) -> Result { return ... };

        * ```

        *

        * The reduction lambda function takes two variables which are supposed to be reduced:
@@ -837,7 +837,7 @@ class Array 
        * being currently processed:

        *

        * ```

        * auto dataFetcher1 = [=] __cuda_callable__ ( Index idx, Value& value ) -> Result { return ... };

        * auto dataFetcher1 = [=] __cuda_callable__ ( IndexType idx, Value& value ) -> Result { return ... };

        * ```

        *

        * The reduction lambda function takes two variables which are supposed to be reduced:
@@ -863,15 +863,15 @@ class Array 
       * \e end is set to a non-zero value, only elements in the sub-interval

       * `[begin, end)` are checked.

       *

       * \param v The value to be checked.

       * \param value The value to be checked.

       * \param begin The beginning of the array sub-interval. It is 0 by

       *              default.

       * \param end The end of the array sub-interval. The default value is 0

       *            which is, however, replaced with the array size.

       * \return True if there is _at least one_ element in the sub-interval

       *         `[begin, end)` which has the value \e v.

       * \return `true` if there is _at least one_ element in the sub-interval

       *         `[begin, end)` which has the value \e value.

       */

      bool containsValue( const ValueType& v,

      bool containsValue( ValueType value,

                          IndexType begin = 0,

                          IndexType end = 0 ) const;
@@ -882,15 +882,15 @@ class Array 
       * \e end is set to a non-zero value, only elements in the sub-interval

       * `[begin, end)` are checked.

       *

       * \param v The value to be checked.

       * \param value The value to be checked.

       * \param begin The beginning of the array sub-interval. It is 0 by

       *              default.

       * \param end The end of the array sub-interval. The default value is 0

       *            which is, however, replaced with the array size.

       * \return True if there is _all_ elements in the sub-interval

       *         `[begin, end)` have the same value \e v.

       * \return `true` if _all_ elements in the sub-interval `[begin, end)`

       *         have the same value \e value.

       */

      bool containsOnlyValue( const ValueType& v,

      bool containsOnlyValue( ValueType value,

                              IndexType begin = 0,

                              IndexType end = 0 ) const;
@@ -919,13 +919,13 @@ class Array 
      /** \brief Internal method for reallocating array elements. Used only

       * from the two overloads of \ref resize.

       */

      void reallocate( Index size );

      void reallocate( IndexType size );



      /** \brief Pointer to the data. */

      Value* data = nullptr;



      /** \brief Number of elements in the array. */

      Index size = 0;

      IndexType size = 0;



      /**

       * \brief The internal allocator instance.
@@ -941,7 +941,7 @@ class Array 
 * \tparam Index is a type used for the indexing of the array elements.

 *

 * \param str is a output stream.

 * \param view is the array to be printed.

 * \param array is the array to be printed.

 *

 * \return a reference on the output stream \ref std::ostream&.

 */

src/TNL/Containers/Array.hpp

+22 −24
Original line number Diff line number Diff line
@@ -52,7 +52,7 @@ template< typename Value, 
          typename Index,

          typename Allocator >

Array< Value, Device, Index, Allocator >::

Array( const IndexType& size, const AllocatorType& allocator )

Array( IndexType size, const AllocatorType& allocator )

: allocator( allocator )

{

   this->setSize( size );
@@ -63,7 +63,7 @@ template< typename Value, 
          typename Index,

          typename Allocator >

Array< Value, Device, Index, Allocator >::

Array( const IndexType& size, const Value& value, const AllocatorType& allocator )

Array( IndexType size, ValueType value, const AllocatorType& allocator )

: allocator( allocator )

{

   this->setSize( size );
@@ -75,8 +75,8 @@ template< typename Value, 
          typename Index,

          typename Allocator >

Array< Value, Device, Index, Allocator >::

Array( Value* data,

       const IndexType& size,

Array( ValueType* data,

       IndexType size,

       const AllocatorType& allocator )

: allocator( allocator )

{
@@ -244,7 +244,7 @@ template< typename Value, 
          typename Allocator >

void

Array< Value, Device, Index, Allocator >::

reallocate( Index size )

reallocate( IndexType size )

{

   TNL_ASSERT_GE( size, (Index) 0, "Array size must be non-negative." );
@@ -288,10 +288,10 @@ template< typename Value, 
          typename Allocator >

void

Array< Value, Device, Index, Allocator >::

resize( Index size )

resize( IndexType size )

{

   // remember the old size and reallocate the array

   const Index old_size = this->size;

   const IndexType old_size = this->size;

   reallocate( size );



   if( old_size < size )
@@ -306,10 +306,10 @@ template< typename Value, 
          typename Allocator >

void

Array< Value, Device, Index, Allocator >::

resize( Index size, const ValueType& value )

resize( IndexType size, ValueType value )

{

   // remember the old size and reallocate the array

   const Index old_size = this->size;

   const IndexType old_size = this->size;

   reallocate( size );



   if( old_size < size )
@@ -323,7 +323,7 @@ template< typename Value, 
          typename Allocator >

void

Array< Value, Device, Index, Allocator >::

setSize( Index size )

setSize( IndexType size )

{

   TNL_ASSERT_GE( size, (Index) 0, "Array size must be non-negative." );
@@ -495,7 +495,7 @@ template< typename Value, 
          typename Allocator >

__cuda_callable__ void

Array< Value, Device, Index, Allocator >::

setElement( const Index& i, const Value& x )

setElement( IndexType i, ValueType x )

{

   TNL_ASSERT_GE( i, (Index) 0, "Element index must be non-negative." );

   TNL_ASSERT_LT( i, this->getSize(), "Element index is out of bounds." );
@@ -508,7 +508,7 @@ template< typename Value, 
          typename Allocator >

__cuda_callable__ Value

Array< Value, Device, Index, Allocator >::

getElement( const Index& i ) const

getElement( IndexType i ) const

{

   TNL_ASSERT_GE( i, (Index) 0, "Element index must be non-negative." );

   TNL_ASSERT_LT( i, this->getSize(), "Element index is out of bounds." );
@@ -522,7 +522,7 @@ template< typename Value, 
__cuda_callable__

Value&

Array< Value, Device, Index, Allocator >::

operator[]( const Index& i )

operator[]( IndexType i )

{

#ifdef __CUDA_ARCH__

   TNL_ASSERT_TRUE( (std::is_same< Device, Devices::Cuda >{}()), "Attempt to access data not allocated on CUDA device from CUDA device." );
@@ -541,7 +541,7 @@ template< typename Value, 
__cuda_callable__

const Value&

Array< Value, Device, Index, Allocator >::

operator[]( const Index& i ) const

operator[]( IndexType i ) const

{

#ifdef __CUDA_ARCH__

   TNL_ASSERT_TRUE( (std::is_same< Device, Devices::Cuda >{}()), "Attempt to access data not allocated on CUDA device from CUDA device." );
@@ -647,9 +647,7 @@ operator==( const ArrayT& array ) const 
   if( this->getSize() == 0 )

      return true;

   return Algorithms::MultiDeviceMemoryOperations< Device, typename ArrayT::DeviceType >::

            compare( this->getData(),

                           array.getData(),

                           array.getSize() );

            compare( this->getData(), array.getData(), array.getSize() );

}



template< typename Value,
@@ -670,7 +668,7 @@ template< typename Value, 
          typename Allocator >

void

Array< Value, Device, Index, Allocator >::

setValue( const ValueType& v,

setValue( ValueType v,

          IndexType begin,

          IndexType end )

{
@@ -742,7 +740,7 @@ template< typename Value, 
         typename Result >

Result

Array< Value, Device, Index, Allocator >::

reduceElements( const Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero )

reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero )

{

   return this->getView().reduceElements( begin, end, fetch, reduce, zero );

}
@@ -756,7 +754,7 @@ template< typename Value, 
         typename Result >

Result

Array< Value, Device, Index, Allocator >::

reduceElements( const Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const

reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const

{

   return this->getConstView().reduceElements( begin, end, fetch, reduce, zero );

}
@@ -795,7 +793,7 @@ template< typename Value, 
          typename Allocator >

bool

Array< Value, Device, Index, Allocator >::

containsValue( const ValueType& v,

containsValue( ValueType value,

               IndexType begin,

               IndexType end ) const

{
@@ -803,7 +801,7 @@ containsValue( const ValueType& v, 
   if( end == 0 )

      end = this->getSize();



   return Algorithms::MemoryOperations< Device >::containsValue( &this->getData()[ begin ], end - begin, v );

   return Algorithms::MemoryOperations< Device >::containsValue( &this->getData()[ begin ], end - begin, value );

}



template< typename Value,
@@ -812,7 +810,7 @@ template< typename Value, 
          typename Allocator >

bool

Array< Value, Device, Index, Allocator >::

containsOnlyValue( const ValueType& v,

containsOnlyValue( ValueType value,

                   IndexType begin,

                   IndexType end ) const

{
@@ -820,7 +818,7 @@ containsOnlyValue( const ValueType& v, 
   if( end == 0 )

      end = this->getSize();



   return Algorithms::MemoryOperations< Device >::containsOnlyValue( &this->getData()[ begin ], end - begin, v );

   return Algorithms::MemoryOperations< Device >::containsOnlyValue( &this->getData()[ begin ], end - begin, value );

}



template< typename Value,

src/TNL/Containers/ArrayView.h

+46 −46

File changed.

Preview size limit exceeded, changes collapsed.

src/TNL/Containers/ArrayView.hpp

+64 −51
Original line number Diff line number Diff line
@@ -32,7 +32,8 @@ template< typename Value, 
          typename Index >

__cuda_callable__

ArrayView< Value, Device, Index >::

ArrayView( Value* data, Index size ) : data(data), size(size)

ArrayView( ValueType* data, IndexType size )

: data(data), size(size)

{

   TNL_ASSERT_GE( size, 0, "ArrayView size was initialized with a negative size." );

   TNL_ASSERT_TRUE( (data == nullptr && size == 0) || (data != nullptr && size > 0),
@@ -46,7 +47,7 @@ template< typename Value, 
__cuda_callable__

void

ArrayView< Value, Device, Index >::

bind( Value* data, Index size )

bind( ValueType* data, IndexType size )

{

   TNL_ASSERT_GE( size, 0, "ArrayView size was initialized with a negative size." );

   TNL_ASSERT_TRUE( (data == nullptr && size == 0) || (data != nullptr && size > 0),
@@ -60,7 +61,9 @@ template< typename Value, 
          typename Device,

          typename Index >

__cuda_callable__

void ArrayView< Value, Device, Index >::bind( ArrayView view )

void

ArrayView< Value, Device, Index >::

bind( ArrayView view )

{

   bind( view.getData(), view.getSize() );

}
@@ -71,7 +74,7 @@ template< typename Value, 
__cuda_callable__

typename ArrayView< Value, Device, Index >::ViewType

ArrayView< Value, Device, Index >::

getView( const IndexType begin, IndexType end )

getView( IndexType begin, IndexType end )

{

   if( end == 0 )

      end = this->getSize();
@@ -84,7 +87,7 @@ template< typename Value, 
__cuda_callable__

typename ArrayView< Value, Device, Index >::ConstViewType

ArrayView< Value, Device, Index >::

getConstView( const IndexType begin, IndexType end ) const

getConstView( IndexType begin, IndexType end ) const

{

   if( end == 0 )

      end = this->getSize();
@@ -157,8 +160,8 @@ template< typename Value, 
          typename Device,

          typename Index >

__cuda_callable__

const

Value* ArrayView< Value, Device, Index >::

const Value*

ArrayView< Value, Device, Index >::

getData() const

{

   return data;
@@ -179,8 +182,8 @@ template< typename Value, 
          typename Device,

          typename Index >

__cuda_callable__

const

Value* ArrayView< Value, Device, Index >::

const Value*

ArrayView< Value, Device, Index >::

getArrayData() const

{

   return data;
@@ -214,7 +217,7 @@ template< typename Value, 
__cuda_callable__

void

ArrayView< Value, Device, Index >::

setElement( Index i, Value value )

setElement( IndexType i, ValueType value )

{

   TNL_ASSERT_GE( i, 0, "Element index must be non-negative." );

   TNL_ASSERT_LT( i, this->getSize(), "Element index is out of bounds." );
@@ -226,7 +229,7 @@ template< typename Value, 
          typename Index >

__cuda_callable__ Value

ArrayView< Value, Device, Index >::

getElement( Index i ) const

getElement( IndexType i ) const

{

   TNL_ASSERT_GE( i, 0, "Element index must be non-negative." );

   TNL_ASSERT_LT( i, this->getSize(), "Element index is out of bounds." );
@@ -238,7 +241,7 @@ template< typename Value, 
          typename Index >

__cuda_callable__

Value& ArrayView< Value, Device, Index >::

operator[]( Index i )

operator[]( IndexType i )

{

#ifdef __CUDA_ARCH__

   TNL_ASSERT_TRUE( (std::is_same< Device, Devices::Cuda >{}()), "Attempt to access data not allocated on CUDA device from CUDA device." );
@@ -254,9 +257,9 @@ template< typename Value, 
          typename Device,

          typename Index >

__cuda_callable__

const

Value& ArrayView< Value, Device, Index >::

operator[]( Index i ) const

const Value&

ArrayView< Value, Device, Index >::

operator[]( IndexType i ) const

{

#ifdef __CUDA_ARCH__

   TNL_ASSERT_TRUE( (std::is_same< Device, Devices::Cuda >{}()), "Attempt to access data not allocated on CUDA device from CUDA device." );
@@ -302,7 +305,7 @@ template< typename Value, 
          typename Index >

void

ArrayView< Value, Device, Index >::

setValue( Value value, const Index begin, Index end )

setValue( ValueType value, IndexType begin, IndexType end )

{

   TNL_ASSERT_GT( size, 0, "Attempted to set value to an empty array view." );

   if( end == 0 )
@@ -314,14 +317,15 @@ template< typename Value, 
          typename Device,

          typename Index >

   template< typename Function >

void ArrayView< Value, Device, Index >::

forElements( const Index begin, Index end, Function&& f )

void

ArrayView< Value, Device, Index >::

forElements( IndexType begin, IndexType end, Function&& f )

{

   if( ! this->data )

      return;



   ValueType* d = this->getData();

   auto g = [=] __cuda_callable__ ( Index i ) mutable

   auto g = [=] __cuda_callable__ ( IndexType i ) mutable

   {

      f( i, d[ i ] );

   };
@@ -332,14 +336,15 @@ template< typename Value, 
          typename Device,

          typename Index >

   template< typename Function >

void ArrayView< Value, Device, Index >::

forElements( const Index begin, Index end, Function&& f ) const

void

ArrayView< Value, Device, Index >::

forElements( IndexType begin, IndexType end, Function&& f ) const

{

   if( ! this->data )

      return;



   const ValueType* d = this->getData();

   auto g = [=] __cuda_callable__ ( Index i )

   auto g = [=] __cuda_callable__ ( IndexType i )

   {

      f( i, d[ i ] );

   };
@@ -350,7 +355,8 @@ template< typename Value, 
          typename Device,

          typename Index >

   template< typename Function >

void ArrayView< Value, Device, Index >::

void

ArrayView< Value, Device, Index >::

forAllElements( Function&& f )

{

   this->forElements( 0, this->getSize(), f );
@@ -360,7 +366,8 @@ template< typename Value, 
          typename Device,

          typename Index >

   template< typename Function >

void ArrayView< Value, Device, Index >::

void

ArrayView< Value, Device, Index >::

forAllElements( Function&& f ) const

{

   this->forElements( 0, this->getSize(), f );
@@ -372,8 +379,9 @@ template< typename Value, 
   template< typename Fetch,

             typename Reduce,

             typename Result >

Result ArrayView< Value, Device, Index >::

reduceElements( Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero )

Result

ArrayView< Value, Device, Index >::

reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero )

{

   if( ! this->data )

      return zero;
@@ -389,8 +397,9 @@ template< typename Value, 
   template< typename Fetch,

             typename Reduce,

             typename Result >

Result ArrayView< Value, Device, Index >::

reduceElements( Index begin, Index end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const

Result

ArrayView< Value, Device, Index >::

reduceElements( IndexType begin, IndexType end, Fetch&& fetch, Reduce&& reduce, const Result& zero ) const

{

   if( ! this->data )

      return;
@@ -406,7 +415,8 @@ template< typename Value, 
   template< typename Fetch,

             typename Reduce,

             typename Result >

Result ArrayView< Value, Device, Index >::

Result

ArrayView< Value, Device, Index >::

reduceEachElement( Fetch&& fetch, Reduce&& reduce, const Result& zero )

{

   return this->reduceElements( 0, this->getSize(), fetch, reduce, zero );
@@ -418,7 +428,8 @@ template< typename Value, 
   template< typename Fetch,

             typename Reduce,

             typename Result >

Result ArrayView< Value, Device, Index >::

Result

ArrayView< Value, Device, Index >::

reduceEachElement( Fetch&& fetch, Reduce&& reduce, const Result& zero ) const

{

   return this->reduceElements( 0, this->getSize(), fetch, reduce, zero );
@@ -429,9 +440,9 @@ template< typename Value, 
          typename Index >

bool

ArrayView< Value, Device, Index >::

containsValue( Value value,

               const Index begin,

               Index end ) const

containsValue( ValueType value,

               IndexType begin,

               IndexType end ) const

{

   if( end == 0 )

      end = this->getSize();
@@ -443,33 +454,21 @@ template< typename Value, 
          typename Index >

bool

ArrayView< Value, Device, Index >::

containsOnlyValue( Value value,

                   const Index begin,

                   Index end  ) const

containsOnlyValue( ValueType value,

                   IndexType begin,

                   IndexType end ) const

{

   if( end == 0 )

      end = this->getSize();

   return Algorithms::MemoryOperations< Device >::containsOnlyValue( &this->getData()[ begin ], end - begin, value );

}



template< typename Value, typename Device, typename Index >

std::ostream& operator<<( std::ostream& str, const ArrayView< Value, Device, Index >& view )

{

   str << "[ ";

   if( view.getSize() > 0 )

   {

      str << view.getElement( 0 );

      for( Index i = 1; i < view.getSize(); i++ )

         str << ", " << view.getElement( i );

   }

   str << " ]";

   return str;

}



template< typename Value,

          typename Device,

          typename Index >

void ArrayView< Value, Device, Index >::save( const String& fileName ) const

void

ArrayView< Value, Device, Index >::

save( const String& fileName ) const

{

   File( fileName, std::ios_base::out ) << *this;

}
@@ -484,6 +483,20 @@ load( const String& fileName ) 
   File( fileName, std::ios_base::in ) >> *this;

}



template< typename Value, typename Device, typename Index >

std::ostream& operator<<( std::ostream& str, const ArrayView< Value, Device, Index >& view )

{

   str << "[ ";

   if( view.getSize() > 0 )

   {

      str << view.getElement( 0 );

      for( Index i = 1; i < view.getSize(); i++ )

         str << ", " << view.getElement( i );

   }

   str << " ]";

   return str;

}



// Serialization of array views into binary files.

template< typename Value, typename Device, typename Index >

File& operator<<( File& file, const ArrayView< Value, Device, Index > view )

src/TNL/Containers/Vector.h

+5 −5

File changed.

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