Template Numerical Library: TNL::Containers::StaticNDArray< Value, SizesHolder, Permutation, Index

Static N-dimensional array. More...

#include <TNL/Containers/NDArray.h>

Inheritance diagram for TNL::Containers::StaticNDArray< Value, SizesHolder, Permutation, Index >:

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Collaboration diagram for TNL::Containers::StaticNDArray< Value, SizesHolder, Permutation, Index >:

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Public Member Functions
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.

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

Public Member Functions inherited from TNL::Containers::NDArrayStorage< Array, Indexer, Device >
	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.

Additional Inherited Members
Public Types inherited from TNL::Containers::NDArrayStorage< Array, Indexer, Device >
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.

Protected Attributes inherited from TNL::Containers::NDArrayStorage< Array, Indexer, Device >
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 Value, typename SizesHolder, typename Permutation = std::make_index_sequence< SizesHolder::getDimension() >, typename Index = typename SizesHolder::IndexType>
class TNL::Containers::StaticNDArray< Value, SizesHolder, Permutation, Index >

Static N-dimensional array.

Template Parameters

Value	Type of the values stored in the array.
SizesHolder	Instance of SizesHolder that will represent the array sizes.
Permutation	Permutation that will be applied to indices when accessing the array elements. The identity permutation is used by default.
Index	Type of indices used for addressing the array elements.

Public Member Functions

Additional Inherited Members

Detailed Description