template<typename AFloat>
class TMVA::DNN::TCpuTensor< AFloat >

Definition at line 40 of file CpuTensor.h.

Public Types
using	Matrix_t = TCpuMatrix<AFloat>

using	MemoryLayout = TMVA::Experimental::MemoryLayout

using	Scalar_t = AFloat

using	Shape_t = typename TMVA::Experimental::RTensor<AFloat>::Shape_t

Public Types inherited from TMVA::Experimental::RTensor< AFloat, TCpuBuffer< AFloat > >
using	Container_t

using	Container_t

using	Container_t

using	Index_t

using	Index_t

using	Index_t

using	Shape_t

using	Shape_t

using	Shape_t

using	Slice_t

using	Slice_t

using	Slice_t

using	Value_t

using	Value_t

using	Value_t

Public Member Functions
	TCpuTensor ()

	TCpuTensor (AFloat *data, const Shape_t &shape, MemoryLayout memlayout=MemoryLayout::ColumnMajor)

	TCpuTensor (const TCpuBuffer< AFloat > &buffer, Shape_t shape, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from a TCpuBuffer and a shape

	TCpuTensor (const TCpuMatrix< AFloat > &matrix, size_t dim=3, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from a TCpuMatrix.

	TCpuTensor (Shape_t shape, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from a shape.

	TCpuTensor (size_t bsize, size_t depth, size_t height, size_t width, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from batch size, depth, height, width

	TCpuTensor (size_t bsize, size_t depth, size_t hw, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from batch size, depth, height*width

	TCpuTensor (size_t n, size_t m, MemoryLayout memlayout=MemoryLayout::ColumnMajor)
	constructors from n m

TCpuTensor< AFloat >	At (size_t i)

TCpuTensor< AFloat >	At (size_t i) const

size_t	GetBufferUseCount () const

size_t	GetCSize () const

TCpuBuffer< AFloat > &	GetDeviceBuffer ()

const TCpuBuffer< AFloat > &	GetDeviceBuffer () const

size_t	GetFirstSize () const

size_t	GetHSize () const

MemoryLayout	GetLayout () const

TCpuMatrix< AFloat >	GetMatrix () const

size_t	GetNcols () const

size_t	GetNoElements () const

size_t	GetNrows () const

AFloat *	GetRawDataPointer ()
	Return raw pointer to the elements stored contiguously in column-major order.

const AFloat *	GetRawDataPointer () const

size_t	GetWSize () const

template<typename Function_t>
void	Map (Function_t &f)
	Map the given function over the matrix elements.

template<typename Function_t>
void	MapFrom (Function_t &f, const TCpuTensor< AFloat > &A)
	Same as maps but takes the input values from the tensor `A` and writes the results in this tensor.

	operator TMatrixT< AFloat > () const
	Convert to a TMatrixT<AFloat_t> object.

AFloat &	operator() (size_t i, size_t j)

AFloat	operator() (size_t i, size_t j) const

AFloat &	operator() (size_t i, size_t j, size_t k)

AFloat	operator() (size_t i, size_t j, size_t k) const

TCpuMatrix< AFloat >	operator[] (size_t i) const

void	Print (const char *name="Tensor") const

void	PrintShape (const char *name="Tensor") const

TCpuTensor< AFloat >	Reshape (Shape_t shape) const

void	Zero ()

Public Member Functions inherited from TMVA::Experimental::RTensor< AFloat, TCpuBuffer< AFloat > >
	RTensor (Shape_t shape, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor owning data initialized with new container.

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

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

	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, MemoryLayout layout=MemoryLayout::RowMajor)
	Construct a tensor as view on 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.

	RTensor (Value_t *data, Shape_t shape, Shape_t strides, 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

Iterator	begin () noexcept

Iterator	begin () noexcept

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

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

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

Iterator	end () noexcept

Iterator	end () noexcept

Iterator	end () noexcept

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

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

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

std::shared_ptr< Container_t >	GetContainer ()

std::shared_ptr< Container_t >	GetContainer ()

std::shared_ptr< Container_t >	GetContainer ()

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

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

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

Value_t *	GetData ()

Value_t *	GetData ()

Value_t *	GetData ()

const Value_t *	GetData () const

const Value_t *	GetData () const

const Value_t *	GetData () const

MemoryLayout	GetMemoryLayout () const

MemoryLayout	GetMemoryLayout () const

MemoryLayout	GetMemoryLayout () const

const Shape_t &	GetShape () const

const Shape_t &	GetShape () const

const Shape_t &	GetShape () const

std::size_t	GetSize () const

std::size_t	GetSize () const

std::size_t	GetSize () const

const Shape_t &	GetStrides () const

const Shape_t &	GetStrides () const

const Shape_t &	GetStrides () const

bool	IsOwner () const

bool	IsOwner () const

bool	IsOwner () const

bool	IsView () const

bool	IsView () const

bool	IsView () const

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

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

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

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

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

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

Value_t &	operator() (Idx... idx)
	Access elements.

Value_t &	operator() (Idx... idx)
	Access elements.

Value_t &	operator() (Idx... idx)
	Access elements.

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

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

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 >	Reshape (const Shape_t &shape) const
	Reshape tensor.

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

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

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

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

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

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

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

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

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

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

Friends
class	TCpuMatrix< AFloat >

Additional Inherited Members
Protected Member Functions inherited from TMVA::Experimental::RTensor< AFloat, TCpuBuffer< AFloat > >
void	ReshapeInplace (const Shape_t &shape)
	Reshape tensor in place.

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

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

#include <TMVA/DNN/Architectures/Cpu/CpuTensor.h>

Inheritance diagram for TMVA::DNN::TCpuTensor< AFloat >:

[legend]

Member Typedef Documentation

◆ Matrix_t

template<typename AFloat>

using TMVA::DNN::TCpuTensor< AFloat >::Matrix_t = TCpuMatrix<AFloat>

Definition at line 49 of file CpuTensor.h.

◆ MemoryLayout

template<typename AFloat>

using TMVA::DNN::TCpuTensor< AFloat >::MemoryLayout = TMVA::Experimental::MemoryLayout

Definition at line 48 of file CpuTensor.h.

◆ Scalar_t

template<typename AFloat>

using TMVA::DNN::TCpuTensor< AFloat >::Scalar_t = AFloat

Definition at line 50 of file CpuTensor.h.

◆ Shape_t

template<typename AFloat>

using TMVA::DNN::TCpuTensor< AFloat >::Shape_t = typename TMVA::Experimental::RTensor<AFloat>::Shape_t

Definition at line 47 of file CpuTensor.h.

Constructor & Destructor Documentation

◆ TCpuTensor() [1/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor ( )

inline

Definition at line 53 of file CpuTensor.h.

◆ TCpuTensor() [2/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	size_t	n,
		size_t	m,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from n m

Definition at line 57 of file CpuTensor.h.

◆ TCpuTensor() [3/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	size_t	bsize,
		size_t	depth,
		size_t	hw,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from batch size, depth, height*width

Definition at line 62 of file CpuTensor.h.

◆ TCpuTensor() [4/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	size_t	bsize,
		size_t	depth,
		size_t	height,
		size_t	width,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from batch size, depth, height, width

Definition at line 70 of file CpuTensor.h.

◆ TCpuTensor() [5/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	Shape_t	shape,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from a shape.

Definition at line 80 of file CpuTensor.h.

◆ TCpuTensor() [6/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	AFloat *	data,
		const Shape_t &	shape,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

Definition at line 87 of file CpuTensor.h.

◆ TCpuTensor() [7/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	const TCpuBuffer< AFloat > &	buffer,
		Shape_t	shape,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from a TCpuBuffer and a shape

Definition at line 99 of file CpuTensor.h.

◆ TCpuTensor() [8/8]

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::TCpuTensor	(	const TCpuMatrix< AFloat > &	matrix,
		size_t	dim = 3,
		MemoryLayout	memlayout = MemoryLayout::ColumnMajor )

inline

constructors from a TCpuMatrix.

Memory layout is forced to be same as matrix (i.e. columnlayout)

Definition at line 108 of file CpuTensor.h.

Member Function Documentation

◆ At() [1/2]

template<typename AFloat>

TCpuTensor< AFloat > TMVA::DNN::TCpuTensor< AFloat >::At ( size_t i )

inline

Definition at line 221 of file CpuTensor.h.

◆ At() [2/2]

template<typename AFloat>

TCpuTensor< AFloat > TMVA::DNN::TCpuTensor< AFloat >::At ( size_t i ) const

inline

Definition at line 234 of file CpuTensor.h.

◆ GetBufferUseCount()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetBufferUseCount ( ) const

inline

Definition at line 300 of file CpuTensor.h.

◆ GetCSize()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetCSize ( ) const

inline

Definition at line 161 of file CpuTensor.h.

◆ GetDeviceBuffer() [1/2]

template<typename AFloat>

TCpuBuffer< AFloat > & TMVA::DNN::TCpuTensor< AFloat >::GetDeviceBuffer ( )

inline

Definition at line 146 of file CpuTensor.h.

◆ GetDeviceBuffer() [2/2]

template<typename AFloat>

const TCpuBuffer< AFloat > & TMVA::DNN::TCpuTensor< AFloat >::GetDeviceBuffer ( ) const

inline

Definition at line 145 of file CpuTensor.h.

◆ GetFirstSize()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetFirstSize ( ) const

inline

Definition at line 155 of file CpuTensor.h.

◆ GetHSize()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetHSize ( ) const

inline

Definition at line 168 of file CpuTensor.h.

◆ GetLayout()

template<typename AFloat>

MemoryLayout TMVA::DNN::TCpuTensor< AFloat >::GetLayout ( ) const

inline

Definition at line 194 of file CpuTensor.h.

◆ GetMatrix()

template<typename AFloat>

TCpuMatrix< AFloat > TMVA::DNN::TCpuTensor< AFloat >::GetMatrix ( ) const

inline

Definition at line 197 of file CpuTensor.h.

◆ GetNcols()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetNcols ( ) const

inline

Definition at line 191 of file CpuTensor.h.

◆ GetNoElements()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetNoElements ( ) const

inline

Definition at line 149 of file CpuTensor.h.

◆ GetNrows()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetNrows ( ) const

inline

Definition at line 190 of file CpuTensor.h.

◆ GetRawDataPointer() [1/2]

template<typename AFloat>

AFloat * TMVA::DNN::TCpuTensor< AFloat >::GetRawDataPointer ( )

inline

Return raw pointer to the elements stored contiguously in column-major order.

Definition at line 141 of file CpuTensor.h.

◆ GetRawDataPointer() [2/2]

template<typename AFloat>

const AFloat * TMVA::DNN::TCpuTensor< AFloat >::GetRawDataPointer ( ) const

inline

Definition at line 142 of file CpuTensor.h.

◆ GetWSize()

template<typename AFloat>

size_t TMVA::DNN::TCpuTensor< AFloat >::GetWSize ( ) const

inline

Definition at line 177 of file CpuTensor.h.

◆ Map()

template<typename AFloat>

template<typename Function_t>

void TMVA::DNN::TCpuTensor< AFloat >::Map ( Function_t & f )

inline

Map the given function over the matrix elements.

Executed in parallel using TThreadExecutor.

Definition at line 325 of file CpuTensor.h.

◆ MapFrom()

template<typename AFloat>

template<typename Function_t>

void TMVA::DNN::TCpuTensor< AFloat >::MapFrom	(	Function_t &	f,
		const TCpuTensor< AFloat > &	A )

inline

Same as maps but takes the input values from the tensor A and writes the results in this tensor.

Definition at line 354 of file CpuTensor.h.

◆ operator TMatrixT< AFloat >()

template<typename AFloat>

TMVA::DNN::TCpuTensor< AFloat >::operator TMatrixT< AFloat > ( ) const

inline

Convert to a TMatrixT<AFloat_t> object.

Performs a deep copy of the matrix elements.

Definition at line 128 of file CpuTensor.h.

◆ operator()() [1/4]

template<typename AFloat>

AFloat & TMVA::DNN::TCpuTensor< AFloat >::operator()	(	size_t	i,
		size_t	j )

inline

Definition at line 251 of file CpuTensor.h.

◆ operator()() [2/4]

template<typename AFloat>

AFloat TMVA::DNN::TCpuTensor< AFloat >::operator()	(	size_t	i,
		size_t	j ) const

inline

Definition at line 272 of file CpuTensor.h.

◆ operator()() [3/4]

template<typename AFloat>

AFloat & TMVA::DNN::TCpuTensor< AFloat >::operator()	(	size_t	i,
		size_t	j,
		size_t	k )

inline

Definition at line 261 of file CpuTensor.h.

◆ operator()() [4/4]

template<typename AFloat>

AFloat TMVA::DNN::TCpuTensor< AFloat >::operator()	(	size_t	i,
		size_t	j,
		size_t	k ) const

inline

Definition at line 280 of file CpuTensor.h.

◆ operator[]()

template<typename AFloat>

TCpuMatrix< AFloat > TMVA::DNN::TCpuTensor< AFloat >::operator[] ( size_t i ) const

inline

Definition at line 237 of file CpuTensor.h.

◆ Print()

template<typename AFloat>

void TMVA::DNN::TCpuTensor< AFloat >::Print ( const char * name = "Tensor" ) const

inline

Definition at line 302 of file CpuTensor.h.

◆ PrintShape()

template<typename AFloat>

void TMVA::DNN::TCpuTensor< AFloat >::PrintShape ( const char * name = "Tensor" ) const

inline

Definition at line 310 of file CpuTensor.h.

◆ Reshape()

template<typename AFloat>

TCpuTensor< AFloat > TMVA::DNN::TCpuTensor< AFloat >::Reshape ( Shape_t shape ) const

inline

Definition at line 212 of file CpuTensor.h.

◆ Zero()

template<typename AFloat>

void TMVA::DNN::TCpuTensor< AFloat >::Zero ( )

inline

Definition at line 243 of file CpuTensor.h.

Friends And Related Symbol Documentation

◆ TCpuMatrix< AFloat >

template<typename AFloat>

friend class TCpuMatrix< AFloat >

friend

Definition at line 354 of file CpuTensor.h.

tmva/tmva/inc/TMVA/DNN/Architectures/Cpu/CpuTensor.h

Public Types

Public Member Functions

Friends

Additional Inherited Members

Member Typedef Documentation

◆ Matrix_t

◆ MemoryLayout

◆ Scalar_t

◆ Shape_t

Constructor & Destructor Documentation

◆ TCpuTensor() [1/8]

◆ TCpuTensor() [2/8]

◆ TCpuTensor() [3/8]

◆ TCpuTensor() [4/8]

◆ TCpuTensor() [5/8]

◆ TCpuTensor() [6/8]

◆ TCpuTensor() [7/8]

◆ TCpuTensor() [8/8]

Member Function Documentation

◆ At() [1/2]

◆ At() [2/2]

◆ GetBufferUseCount()

◆ GetCSize()

◆ GetDeviceBuffer() [1/2]

◆ GetDeviceBuffer() [2/2]

◆ GetFirstSize()

◆ GetHSize()

◆ GetLayout()

◆ GetMatrix()

◆ GetNcols()

◆ GetNoElements()

◆ GetNrows()

◆ GetRawDataPointer() [1/2]

◆ GetRawDataPointer() [2/2]

◆ GetWSize()

◆ Map()

◆ MapFrom()

◆ operator TMatrixT< AFloat >()

◆ operator()() [1/4]

◆ operator()() [2/4]

◆ operator()() [3/4]

◆ operator()() [4/4]

◆ operator[]()

◆ Print()

◆ PrintShape()

◆ Reshape()

◆ Zero()

Friends And Related Symbol Documentation

◆ TCpuMatrix< AFloat >