Template Numerical Library: TNL::Containers::NDArrayStorage< Array, Indexer, Device

Base storage class for NDArray, StaticNDArray and SlicedNDArray. More...

#include <TNL/Containers/NDArray.h>

Inheritance diagram for TNL::Containers::NDArrayStorage< Array, Indexer, Device >:

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Collaboration diagram for TNL::Containers::NDArrayStorage< Array, Indexer, Device >:

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Public Types
using	ConstViewType = NDArrayView< std::add_const_t< ValueType >, DeviceType, IndexerType >
	Compatible constant NDArrayView type.

using	DeviceType = Device
	Type of the device used for running operations on the array.

using	IndexerType = Indexer
	Type of the N-dimensional indexer, NDArrayIndexer.

using	IndexType = typename Indexer::IndexType
	Type of indices used for addressing the array elements.

using	OverlapsType = typename Indexer::OverlapsType
	Sequence of integers representing the overlaps in each dimension of a distributed N-dimensional array.

using	PermutationType = typename Indexer::PermutationType
	Permutation that is applied to indices when accessing the array elements.

using	SizesHolderType = typename Indexer::SizesHolderType
	Type of the underlying object which represents the sizes of the N-dimensional array.

using	StorageArray = Array
	Type of the underlying one-dimensional array storing the elements.

using	ValueType = typename Array::ValueType
	Type of the values stored in the array.

using	ViewType = NDArrayView< ValueType, DeviceType, IndexerType >
	Compatible NDArrayView type.

Public Member Functions
	NDArrayStorage ()=default
	Constructs an empty storage with zero size.

	NDArrayStorage (const NDArrayStorage &)=default
	Copy constructor (makes a deep copy).

	NDArrayStorage (NDArrayStorage &&) noexcept=default
	Move constructor for initialization from rvalues.

template<typename Device2 = DeviceType, typename Func >
void	forAll (Func f, const typename Device2::LaunchConfiguration &launch_configuration=typename Device2::LaunchConfiguration{}) const
	Evaluates the function `f` in parallel for all elements of the array.

template<typename Device2 = DeviceType, typename SkipBegins , typename SkipEnds , typename Func >
void	forBoundary (const SkipBegins &skipBegins, const SkipEnds &skipEnds, Func f, const typename Device2::LaunchConfiguration &launch_configuration=typename Device2::LaunchConfiguration{}) const
	Evaluates the function `f` in parallel for all elements of the array outside the N-dimensional interval `[skipBegins, skipEnds)`.

template<typename Device2 = DeviceType, typename Func >
void	forBoundary (Func f, const typename Device2::LaunchConfiguration &launch_configuration=typename Device2::LaunchConfiguration{}) const
	Evaluates the function `f` in parallel for all boundary elements of the array.

template<typename Device2 = DeviceType, typename Begins , typename Ends , typename Func >
void	forInterior (const Begins &begins, const Ends &ends, Func f, const typename Device2::LaunchConfiguration &launch_configuration=typename Device2::LaunchConfiguration{}) const
	Evaluates the function `f` in parallel for all elements of the array inside the N-dimensional interval `[begins, ends)`.

template<typename Device2 = DeviceType, typename Func >
void	forInterior (Func f, const typename Device2::LaunchConfiguration &launch_configuration=typename Device2::LaunchConfiguration{}) const
	Evaluates the function `f` in parallel for all internal elements of the array.

__cuda_callable__ ConstViewType	getConstView () const
	Returns a non-modifiable view of the array.

__cuda_callable__ ValueType *	getData ()
	Returns a raw pointer to the data.

__cuda_callable__ std::add_const_t< ValueType > *	getData () const
	Returns a const-qualified raw pointer to the data.

template<typename... IndexTypes>
ValueType	getElement (IndexTypes &&... indices) const
	A "safe" accessor for array elements.

__cuda_callable__ const IndexerType &	getIndexer () const
	Returns a const-qualified reference to the underlying indexer.

StorageArray &	getStorageArray ()
	Returns a reference to the underlying storage array.

const StorageArray &	getStorageArray () const
	Returns a constant reference to the underlying storage array.

template<std::size_t... Dimensions, typename... IndexTypes>
__cuda_callable__ auto	getSubarrayView (IndexTypes &&... indices)
	Returns a modifiable view of a subarray.

__cuda_callable__ ViewType	getView ()
	Returns a modifiable view of the array.

bool	operator!= (const NDArrayStorage &other) const
	Compares the array with another N-dimensional array.

template<typename... IndexTypes>
__cuda_callable__ ValueType &	operator() (IndexTypes &&... indices)
	Accesses an element of the array.

template<typename... IndexTypes>
__cuda_callable__ const ValueType &	operator() (IndexTypes &&... indices) const
	Accesses an element of the array.

NDArrayStorage &	operator= (const NDArrayStorage &other)=default
	Copy-assignment operator for deep-copying data from another array. Mismatched sizes cause reallocations.

template<typename OtherArray >
NDArrayStorage &	operator= (const OtherArray &other)
	Templated copy-assignment operator for deep-copying data from another array.

NDArrayStorage &	operator= (NDArrayStorage &&) noexcept(false)=default
	Move-assignment operator for acquiring data from rvalues.

bool	operator== (const NDArrayStorage &other) const
	Compares the array with another N-dimensional array.

__cuda_callable__ ValueType &	operator[] (IndexType index)
	Accesses an element in a one-dimensional array.

__cuda_callable__ const ValueType &	operator[] (IndexType index) const
	Accesses an element in a one-dimensional array.

void	reset ()
	Resets the array to the empty state.

void	setLike (const NDArrayStorage &other)
	Sets sizes of the array to the sizes of an existing array.

void	setSize (const SizesHolderType &sizes)
	Sets sizes of the array using an instance of SizesHolder.

template<typename... IndexTypes>
void	setSizes (IndexTypes &&... sizes)
	Sets sizes of the array using raw integers.

void	setValue (ValueType value)
	Sets all elements of the array to given value.

Protected Attributes
StorageArray	array
	Underlying one-dimensional array which stores the data.

IndexerType	indexer
	Object which transforms the multi-dimensional indices to a one-dimensional index.

Detailed Description

template<typename Array, typename Indexer, typename Device = typename Array::DeviceType>
class TNL::Containers::NDArrayStorage< Array, Indexer, Device >

Base storage class for NDArray, StaticNDArray and SlicedNDArray.

Template Parameters

Type	of the underlying one-dimensional array for storing the elements.
Type	of the N-dimensional indexer, NDArrayIndexer.
Type	of the device used for running operations on the array.

Note that the class inherits from the Indexer, i.e. NDArrayIndexer.

Member Function Documentation

◆ forAll()

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename Device2 = DeviceType, typename Func >

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::forAll	(	Func	f,
		const typename Device2::LaunchConfiguration &	launch_configuration = typename Device2::LaunchConfiguration{} ) const

inline

Evaluates the function f in parallel for all elements of the array.

The function f is called as f(indices...), where indices... are substituted by the actual indices of all array elements. For example, given a 3D array a with int as IndexType, the function can be defined and used as follows:

auto setter = [&a] ( int i, int j, int k )
{
   a( i, j, k ) = 1;
};
a.forAll( setter );

◆ forBoundary() [1/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename Device2 = DeviceType, typename SkipBegins , typename SkipEnds , typename Func >

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::forBoundary	(	const SkipBegins &	skipBegins,
		const SkipEnds &	skipEnds,
		Func	f,
		const typename Device2::LaunchConfiguration &	launch_configuration = typename Device2::LaunchConfiguration{} ) const

inline

Evaluates the function f in parallel for all elements of the array outside the N-dimensional interval [skipBegins, skipEnds).

The function f is called as f(indices...), where indices... are substituted by the actual indices of all array elements.

◆ forBoundary() [2/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename Device2 = DeviceType, typename Func >

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::forBoundary	(	Func	f,
		const typename Device2::LaunchConfiguration &	launch_configuration = typename Device2::LaunchConfiguration{} ) const

inline

Evaluates the function f in parallel for all boundary elements of the array.

auto setter = [&a] ( int i, int j, int k )
{
   a( i, j, k ) = 1;
};
a.forAll( setter );

◆ forInterior() [1/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename Device2 = DeviceType, typename Begins , typename Ends , typename Func >

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::forInterior	(	const Begins &	begins,
		const Ends &	ends,
		Func	f,
		const typename Device2::LaunchConfiguration &	launch_configuration = typename Device2::LaunchConfiguration{} ) const

inline

Evaluates the function f in parallel for all elements of the array inside the N-dimensional interval [begins, ends).

The function f is called as f(indices...), where indices... are substituted by the actual indices of all array elements.

◆ forInterior() [2/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename Device2 = DeviceType, typename Func >

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::forInterior	(	Func	f,
		const typename Device2::LaunchConfiguration &	launch_configuration = typename Device2::LaunchConfiguration{} ) const

inline

Evaluates the function f in parallel for all internal elements of the array.

auto setter = [&a] ( int i, int j, int k )
{
   a( i, j, k ) = 1;
};
a.forAll( setter );

◆ getData() [1/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

__cuda_callable__ ValueType * TNL::Containers::NDArrayStorage< Array, Indexer, Device >::getData ( )

inline

Returns a raw pointer to the data.

This method can be called from device kernels.

◆ getData() [2/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

__cuda_callable__ std::add_const_t< ValueType > * TNL::Containers::NDArrayStorage< Array, Indexer, Device >::getData ( ) const

inline

Returns a const-qualified raw pointer to the data.

This method can be called from device kernels.

◆ getElement()

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename... IndexTypes>

ValueType TNL::Containers::NDArrayStorage< Array, Indexer, Device >::getElement ( IndexTypes &&... indices ) const

inline

A "safe" accessor for array elements.

It can be called only from the host code and it will do a slow copy from the device.

◆ getSubarrayView()

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<std::size_t... Dimensions, typename... IndexTypes>

__cuda_callable__ auto TNL::Containers::NDArrayStorage< Array, Indexer, Device >::getSubarrayView ( IndexTypes &&... indices )

inline

Returns a modifiable view of a subarray.

Template Parameters

Dimensions Sequence of integers representing the dimensions of the array which selects the subset of dimensions to appear in the subarray.

Parameters

indices Indices of the origin of the subarray in the whole array. The number of indices supplied must be equal to N, i.e. getDimension().

Returns: NDArrayView instantiated for ValueType, DeviceType and an NDArrayIndexer matching the specified dimensions and subarray sizes.

◆ operator()() [1/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename... IndexTypes>

__cuda_callable__ ValueType & TNL::Containers::NDArrayStorage< Array, Indexer, Device >::operator() ( IndexTypes &&... indices )

inline

Accesses an element of the array.

Parameters

indices Indices of the element in the N-dimensional array. The number of indices supplied must be equal to N, i.e. getDimension().

Returns: Reference to the array element.

◆ operator()() [2/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

template<typename... IndexTypes>

__cuda_callable__ const ValueType & TNL::Containers::NDArrayStorage< Array, Indexer, Device >::operator() ( IndexTypes &&... indices ) const

inline

Accesses an element of the array.

Parameters

indices Indices of the element in the N-dimensional array. The number of indices supplied must be equal to N, i.e. getDimension().

Returns: Constant reference to the array element.

◆ operator[]() [1/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

__cuda_callable__ ValueType & TNL::Containers::NDArrayStorage< Array, Indexer, Device >::operator[] ( IndexType index )

inline

Accesses an element in a one-dimensional array.

Warning: This function can be used only when the dimension of the array is equal to 1.

Parameters

index Index of the element in the one-dimensional array.

Returns: Reference to the array element.

◆ operator[]() [2/2]

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

__cuda_callable__ const ValueType & TNL::Containers::NDArrayStorage< Array, Indexer, Device >::operator[] ( IndexType index ) const

inline

Accesses an element in a one-dimensional array.

Warning: This function can be used only when the dimension of the array is equal to 1.

Parameters

index Index of the element in the one-dimensional array.

Returns: Constant reference to the array element.

◆ reset()

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::reset ( )

inline

Resets the array to the empty state.

The current data will be deallocated, thus all pointers and views to the array elements will become invalid.

◆ setLike()

template<typename Array , typename Indexer , typename Device = typename Array::DeviceType>

void TNL::Containers::NDArrayStorage< Array, Indexer, Device >::setLike ( const NDArrayStorage< Array, Indexer, Device > & other )

inline

Sets sizes of the array to the sizes of an existing array.

If the array size changes, the current data will be deallocated, thus all pointers and views to the array alements will become invalid.

The documentation for this class was generated from the following file:

src/TNL/Containers/NDArray.h

Public Types

Public Member Functions

Protected Attributes

Detailed Description

Member Function Documentation

◆ forAll()

◆ forBoundary() [1/2]

◆ forBoundary() [2/2]

◆ forInterior() [1/2]

◆ forInterior() [2/2]

◆ getData() [1/2]

◆ getData() [2/2]

◆ getElement()

◆ getSubarrayView()

◆ operator()() [1/2]

◆ operator()() [2/2]

◆ operator[]() [1/2]

◆ operator[]() [2/2]

◆ reset()

◆ setLike()