template<typename V, typename C = std::vector<V>>
class TMVA::Experimental::RTensor< V, C >

RTensor is a container with contiguous memory and shape information.

Template Parameters

T	Data-type of the tensor

An RTensor is a vector-like container, which has additional shape information. The elements of the multi-dimensional container can be accessed by their indices in a coherent way without taking care about the one-dimensional memory layout of the contiguous storage. This also allows to manipulate the shape of the container without moving the actual elements in memory. Another feature is that an RTensor can own the underlying contiguous memory but can also represent only a view on existing data without owning it.

Definition at line 162 of file RTensor.hxx.

Classes
class	Iterator

Public Types
using	Container_t = C

using	Index_t = Shape_t

using	Shape_t = std::vector< std::size_t >

using	Slice_t = std::vector< Shape_t >

using	Value_t = V

Public Member Functions
	RTensor (Shape_t shape, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor owning data initialized with new container.

	RTensor (std::shared_ptr< Container_t > container, Shape_t shape, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor owning externally provided data.

	RTensor (Value_t *data, Shape_t shape, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor as view on data.

	RTensor (Value_t *data, Shape_t shape, Shape_t strides, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor as view on data.

Iterator	begin () noexcept

RTensor< Value_t, Container_t >	Copy (MemoryLayout layout=MemoryLayout::RowMajor) const
	Copy RTensor to new object.

Iterator	end () noexcept

RTensor< Value_t, Container_t >	ExpandDims (int idx) const
	Expand dimensions.

std::shared_ptr< Container_t >	GetContainer ()

const std::shared_ptr< Container_t >	GetContainer () const

Value_t *	GetData ()

const Value_t *	GetData () const

MemoryLayout	GetMemoryLayout () const

const Shape_t &	GetShape () const

std::size_t	GetSize () const

const Shape_t &	GetStrides () const

bool	IsOwner () const

bool	IsView () const

Value_t &	operator() (const Index_t &idx)
	Access elements.

const Value_t &	operator() (const Index_t &idx) const
	Access elements.

template<typename... Idx>
Value_t &	operator() (Idx... idx)
	Access elements.

template<typename... Idx>
const Value_t &	operator() (Idx... idx) const
	Access elements.

RTensor< Value_t, Container_t >	Reshape (const Shape_t &shape) const
	Reshape tensor.

RTensor< Value_t, Container_t >	Slice (const Slice_t &slice)
	Create a slice of the tensor.

RTensor< Value_t, Container_t >	Squeeze () const
	Squeeze dimensions.

RTensor< Value_t, Container_t >	Transpose () const
	Transpose.

Protected Member Functions
void	ReshapeInplace (const Shape_t &shape)
	Reshape tensor in place.

Private Attributes
std::shared_ptr< Container_t >	fContainer

Value_t *	fData

MemoryLayout	fLayout

Shape_t	fShape

std::size_t	fSize

Shape_t	fStrides

#include <TMVA/RTensor.hxx>

Member Typedef Documentation

◆ Container_t

template<typename V , typename C = std::vector<V>>

using TMVA::Experimental::RTensor< V, C >::Container_t = C

Definition at line 169 of file RTensor.hxx.

◆ Index_t

template<typename V , typename C = std::vector<V>>

using TMVA::Experimental::RTensor< V, C >::Index_t = Shape_t

Definition at line 167 of file RTensor.hxx.

◆ Shape_t

template<typename V , typename C = std::vector<V>>

using TMVA::Experimental::RTensor< V, C >::Shape_t = std::vector<std::size_t>

Definition at line 166 of file RTensor.hxx.

◆ Slice_t

template<typename V , typename C = std::vector<V>>

using TMVA::Experimental::RTensor< V, C >::Slice_t = std::vector<Shape_t>

Definition at line 168 of file RTensor.hxx.

◆ Value_t

template<typename V , typename C = std::vector<V>>

using TMVA::Experimental::RTensor< V, C >::Value_t = V

Definition at line 165 of file RTensor.hxx.

Constructor & Destructor Documentation

◆ RTensor() [1/4]

template<typename V , typename C = std::vector<V>>

TMVA::Experimental::RTensor< V, C >::RTensor	(	Value_t *	data,
		Shape_t	shape,
		MemoryLayout	layout = `MemoryLayout::RowMajor`
	)

inline

Construct a tensor as view on data.

Parameters

[in]	data	Pointer to data contiguous in memory
[in]	shape	Shape vector
[in]	layout	Memory layout

Definition at line 189 of file RTensor.hxx.

◆ RTensor() [2/4]

template<typename V , typename C = std::vector<V>>

TMVA::Experimental::RTensor< V, C >::RTensor	(	Value_t *	data,
		Shape_t	shape,
		Shape_t	strides,
		MemoryLayout	layout = `MemoryLayout::RowMajor`
	)

inline

Construct a tensor as view on data.

Parameters

[in]	data	Pointer to data contiguous in memory
[in]	shape	Shape vector
[in]	strides	Strides vector
[in]	layout	Memory layout

Definition at line 201 of file RTensor.hxx.

◆ RTensor() [3/4]

template<typename V , typename C = std::vector<V>>

TMVA::Experimental::RTensor< V, C >::RTensor	(	std::shared_ptr< Container_t >	container,
		Shape_t	shape,
		MemoryLayout	layout = `MemoryLayout::RowMajor`
	)

inline

Construct a tensor owning externally provided data.

Parameters

[in]	container	Shared pointer to data container
[in]	shape	Shape vector
[in]	layout	Memory layout

Definition at line 211 of file RTensor.hxx.

◆ RTensor() [4/4]

template<typename V , typename C = std::vector<V>>

TMVA::Experimental::RTensor< V, C >::RTensor	(	Shape_t	shape,
		MemoryLayout	layout = `MemoryLayout::RowMajor`
	)

inline

Construct a tensor owning data initialized with new container.

Parameters

[in]	shape	Shape vector
[in]	layout	Memory layout

Definition at line 223 of file RTensor.hxx.

Member Function Documentation

◆ begin()

template<typename V , typename C = std::vector<V>>

Iterator TMVA::Experimental::RTensor< V, C >::begin ( )

inlinenoexcept

Definition at line 304 of file RTensor.hxx.

◆ Copy()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::Copy ( MemoryLayout layout = MemoryLayout::RowMajor ) const

inline

Copy RTensor to new object.

Parameters

[in] layout Memory layout of the new RTensor

Returns: New RTensor The operation copies all elements of the current RTensor to a new RTensor with the given layout contiguous in memory. Note that this copies by default to a row major memory layout.

Definition at line 547 of file RTensor.hxx.

◆ end()

template<typename V , typename C = std::vector<V>>

Iterator TMVA::Experimental::RTensor< V, C >::end ( )

inlinenoexcept

Definition at line 307 of file RTensor.hxx.

◆ ExpandDims()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::ExpandDims ( int idx ) const

inline

Expand dimensions.

Parameters

[in] idx Index in shape vector where dimension is added

Returns: New RTensor Inserts a dimension of one into the shape.

Definition at line 449 of file RTensor.hxx.

◆ GetContainer() [1/2]

template<typename V , typename C = std::vector<V>>

std::shared_ptr< Container_t > TMVA::Experimental::RTensor< V, C >::GetContainer ( )

inline

Definition at line 246 of file RTensor.hxx.

◆ GetContainer() [2/2]

template<typename V , typename C = std::vector<V>>

const std::shared_ptr< Container_t > TMVA::Experimental::RTensor< V, C >::GetContainer ( ) const

inline

Definition at line 247 of file RTensor.hxx.

◆ GetData() [1/2]

template<typename V , typename C = std::vector<V>>

Value_t * TMVA::Experimental::RTensor< V, C >::GetData ( )

inline

Definition at line 244 of file RTensor.hxx.

◆ GetData() [2/2]

template<typename V , typename C = std::vector<V>>

const Value_t * TMVA::Experimental::RTensor< V, C >::GetData ( ) const

inline

Definition at line 245 of file RTensor.hxx.

◆ GetMemoryLayout()

template<typename V , typename C = std::vector<V>>

MemoryLayout TMVA::Experimental::RTensor< V, C >::GetMemoryLayout ( ) const

inline

Definition at line 248 of file RTensor.hxx.

◆ GetShape()

template<typename V , typename C = std::vector<V>>

const Shape_t & TMVA::Experimental::RTensor< V, C >::GetShape ( ) const

inline

Definition at line 242 of file RTensor.hxx.

◆ GetSize()

template<typename V , typename C = std::vector<V>>

std::size_t TMVA::Experimental::RTensor< V, C >::GetSize ( ) const

inline

Definition at line 241 of file RTensor.hxx.

◆ GetStrides()

template<typename V , typename C = std::vector<V>>

const Shape_t & TMVA::Experimental::RTensor< V, C >::GetStrides ( ) const

inline

Definition at line 243 of file RTensor.hxx.

◆ IsOwner()

template<typename V , typename C = std::vector<V>>

bool TMVA::Experimental::RTensor< V, C >::IsOwner ( ) const

inline

Definition at line 250 of file RTensor.hxx.

◆ IsView()

template<typename V , typename C = std::vector<V>>

bool TMVA::Experimental::RTensor< V, C >::IsView ( ) const

inline

Definition at line 249 of file RTensor.hxx.

◆ operator()() [1/4]

template<typename Value_t , typename Container_t >

Value_t & TMVA::Experimental::RTensor< Value_t, Container_t >::operator() ( const Index_t & idx )

inline

Access elements.

Parameters

[in] idx Index vector

Returns: Reference to element

Definition at line 343 of file RTensor.hxx.

◆ operator()() [2/4]

template<typename Value_t , typename Container_t >

const Value_t & TMVA::Experimental::RTensor< Value_t, Container_t >::operator() ( const Index_t & idx ) const

inline

Access elements.

Parameters

[in] idx Index vector

Returns: Reference to element

Definition at line 353 of file RTensor.hxx.

◆ operator()() [3/4]

template<typename Value_t , typename Container_t >

template<typename... Idx>

Value_t & TMVA::Experimental::RTensor< Value_t, Container_t >::operator() ( Idx... idx )

Access elements.

Parameters

[in] idx Indices

Returns: Reference to element

Definition at line 364 of file RTensor.hxx.

◆ operator()() [4/4]

template<typename Value_t , typename Container_t >

template<typename... Idx>

const Value_t & TMVA::Experimental::RTensor< Value_t, Container_t >::operator() ( Idx... idx ) const

Access elements.

Parameters

[in] idx Indices

Returns: Reference to element

Definition at line 376 of file RTensor.hxx.

◆ Reshape()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::Reshape ( const Shape_t & shape ) const

inline

Reshape tensor.

Parameters

[in] shape Shape vector

Returns: New RTensor Reshape tensor without changing the overall size

Definition at line 481 of file RTensor.hxx.

◆ ReshapeInplace()

template<typename Value_t , typename Container_t >

void TMVA::Experimental::RTensor< Value_t, Container_t >::ReshapeInplace ( const Shape_t & shape )

inlineprotected

Reshape tensor in place.

Parameters

[in] shape Shape vector Reshape tensor without changing the overall size

Definition at line 316 of file RTensor.hxx.

◆ Slice()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::Slice ( const Slice_t & slice )

inline

Create a slice of the tensor.

Parameters

[in] slice Slice vector

Returns: New RTensor A slice is a subset of the tensor defined by a vector of pairs of indices.

Definition at line 494 of file RTensor.hxx.

◆ Squeeze()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::Squeeze

inline

Squeeze dimensions.

Returns: New RTensor Squeeze removes the dimensions of size one from the shape.

Definition at line 417 of file RTensor.hxx.

◆ Transpose()

template<typename Value_t , typename Container_t >

RTensor< Value_t, Container_t > TMVA::Experimental::RTensor< Value_t, Container_t >::Transpose

inline

Transpose.

Returns: New RTensor The tensor is transposed by inverting the associated memory layout from row- major to column-major and vice versa. Therefore, the underlying data is not touched.

Definition at line 389 of file RTensor.hxx.

Member Data Documentation

◆ fContainer

template<typename V , typename C = std::vector<V>>

std::shared_ptr<Container_t> TMVA::Experimental::RTensor< V, C >::fContainer

private

Definition at line 177 of file RTensor.hxx.

◆ fData

template<typename V , typename C = std::vector<V>>

Value_t* TMVA::Experimental::RTensor< V, C >::fData

private

Definition at line 176 of file RTensor.hxx.

◆ fLayout

template<typename V , typename C = std::vector<V>>

MemoryLayout TMVA::Experimental::RTensor< V, C >::fLayout

private

Definition at line 175 of file RTensor.hxx.

◆ fShape

template<typename V , typename C = std::vector<V>>

Shape_t TMVA::Experimental::RTensor< V, C >::fShape

private

Definition at line 172 of file RTensor.hxx.

◆ fSize

template<typename V , typename C = std::vector<V>>

std::size_t TMVA::Experimental::RTensor< V, C >::fSize

private

Definition at line 174 of file RTensor.hxx.

◆ fStrides

template<typename V , typename C = std::vector<V>>

Shape_t TMVA::Experimental::RTensor< V, C >::fStrides

private

Definition at line 173 of file RTensor.hxx.

tmva/tmva/inc/TMVA/RTensor.hxx

Classes

Public Types

Public Member Functions

Protected Member Functions

Private Attributes

Member Typedef Documentation

◆ Container_t

◆ Index_t

◆ Shape_t

◆ Slice_t

◆ Value_t

Constructor & Destructor Documentation

◆ RTensor() [1/4]

◆ RTensor() [2/4]

◆ RTensor() [3/4]

◆ RTensor() [4/4]

Member Function Documentation

◆ begin()

◆ Copy()

◆ end()

◆ ExpandDims()

◆ GetContainer() [1/2]

◆ GetContainer() [2/2]

◆ GetData() [1/2]

◆ GetData() [2/2]

◆ GetMemoryLayout()

◆ GetShape()

◆ GetSize()

◆ GetStrides()

◆ IsOwner()

◆ IsView()

◆ operator()() [1/4]

◆ operator()() [2/4]

◆ operator()() [3/4]

◆ operator()() [4/4]

◆ Reshape()

◆ ReshapeInplace()

◆ Slice()

◆ Squeeze()

◆ Transpose()

Member Data Documentation

◆ fContainer

◆ fData

◆ fLayout

◆ fShape

◆ fSize

◆ fStrides