Definition at line 18 of file ROperator_Random.hxx.

Public Member Functions
	ROperator_Random ()
	ROperator_Random (RandomOpMode mode, ETensorType type, const std::string &nameX, const std::string &nameY, const std::vector< size_t > &shape, const std::map< std::string, float > &params, float seed)
std::string	Generate (std::string OpName) override
std::string	GenerateDeclCode () override
std::string	GenerateInitCode () override
virtual std::string	GenerateSessionMembersCode (std::string)
virtual std::vector< std::string >	GetBlasRoutines ()
std::span< const std::string_view >	GetOpInputTensors () const
std::span< const std::string_view >	GetOpOutputTensors () const
std::vector< std::string >	GetStdLibs () override
virtual std::string	Header ()
void	Initialize (RModel &model) override
bool	IsOutputConstant () const
	check if the output of the operator is Constant and is evaluated at initialization time
std::vector< std::vector< size_t > >	ShapeInference (std::vector< std::vector< size_t > > input) override
std::vector< ETensorType >	TypeInference (std::vector< ETensorType > input) override

Public Attributes
bool	fUseROOT = true

Protected Attributes
std::vector< std::string_view >	fInputTensorNames
bool	fIsOutputConstant = false
	flag to identify if operator has a constant output (no need to generate code)
bool	fIsOutputParamShape = false
	flag to identify of the output represents a parametric shape (can be knwon at compile time)
std::vector< std::string_view >	fOutputTensorNames
bool	fUseSession = false
	flag to identify if using the session class
const std::string	SP = " "
	space used to correctly indent the generated C++ code

Private Attributes
RandomOpMode	fMode
std::string	fNX
std::string	fNY
std::map< std::string, float >	fParams
int	fSeed
std::vector< size_t >	fShapeY
ETensorType	fType

#include <TMVA/ROperator_Random.hxx>

Inheritance diagram for TMVA::Experimental::SOFIE::ROperator_Random:

Constructor & Destructor Documentation

◆ ROperator_Random() [1/2]

TMVA::Experimental::SOFIE::ROperator_Random::ROperator_Random ( )

inline

Definition at line 37 of file ROperator_Random.hxx.

◆ ROperator_Random() [2/2]

TMVA::Experimental::SOFIE::ROperator_Random::ROperator_Random	(	RandomOpMode	mode,
		ETensorType	type,
		const std::string &	nameX,
		const std::string &	nameY,
		const std::vector< size_t > &	shape,
		const std::map< std::string, float > &	params,
		float	seed )

inline

Definition at line 38 of file ROperator_Random.hxx.

Member Function Documentation

◆ Generate()

std::string TMVA::Experimental::SOFIE::ROperator_Random::Generate ( std::string OpName )

inlineoverridevirtual

Implements TMVA::Experimental::SOFIE::ROperator.

Definition at line 111 of file ROperator_Random.hxx.

◆ GenerateDeclCode()

std::string TMVA::Experimental::SOFIE::ROperator_Random::GenerateDeclCode ( )

inlineoverridevirtual

Reimplemented from TMVA::Experimental::SOFIE::ROperator.

Definition at line 93 of file ROperator_Random.hxx.

◆ GenerateInitCode()

std::string TMVA::Experimental::SOFIE::ROperator_Random::GenerateInitCode ( )

inlineoverridevirtual

Reimplemented from TMVA::Experimental::SOFIE::ROperator.

Definition at line 99 of file ROperator_Random.hxx.

◆ GenerateSessionMembersCode()

virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateSessionMembersCode ( std::string )

inlinevirtualinherited

Reimplemented in TMVA::Experimental::SOFIE::ROperator_LSTM< T >, TMVA::Experimental::SOFIE::ROperator_NonZero< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, and TMVA::Experimental::SOFIE::ROperator_RNN< T >.

Definition at line 33 of file ROperator.hxx.

◆ GetBlasRoutines()

virtual std::vector< std::string > TMVA::Experimental::SOFIE::ROperator::GetBlasRoutines ( )

inlinevirtualinherited

Reimplemented in TMVA::Experimental::SOFIE::ROperator_BatchNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Conv< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Gemm< T >, TMVA::Experimental::SOFIE::ROperator_GRU< T >, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_LSTM< T >, and TMVA::Experimental::SOFIE::ROperator_RNN< T >.

Definition at line 22 of file ROperator.hxx.

◆ GetOpInputTensors()

std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpInputTensors ( ) const

inlineinherited

Definition at line 54 of file ROperator.hxx.

◆ GetOpOutputTensors()

std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpOutputTensors ( ) const

inlineinherited

Definition at line 58 of file ROperator.hxx.

◆ GetStdLibs()

std::vector< std::string > TMVA::Experimental::SOFIE::ROperator_Random::GetStdLibs ( )

inlineoverridevirtual

Reimplemented from TMVA::Experimental::SOFIE::ROperator.

Definition at line 142 of file ROperator_Random.hxx.

◆ Header()

virtual std::string TMVA::Experimental::SOFIE::ROperator::Header ( )

inlinevirtualinherited

Definition at line 34 of file ROperator.hxx.

◆ Initialize()

void TMVA::Experimental::SOFIE::ROperator_Random::Initialize ( RModel & model )

inlineoverridevirtual

Implements TMVA::Experimental::SOFIE::ROperator.

Definition at line 61 of file ROperator_Random.hxx.

◆ IsOutputConstant()

bool TMVA::Experimental::SOFIE::ROperator::IsOutputConstant ( ) const

inlineinherited

check if the output of the operator is Constant and is evaluated at initialization time

Definition at line 37 of file ROperator.hxx.

◆ ShapeInference()

std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator_Random::ShapeInference ( std::vector< std::vector< size_t > > input )

inlineoverridevirtual

Reimplemented from TMVA::Experimental::SOFIE::ROperator.

Definition at line 56 of file ROperator_Random.hxx.

◆ TypeInference()

std::vector< ETensorType > TMVA::Experimental::SOFIE::ROperator_Random::TypeInference ( std::vector< ETensorType > input )

inlineoverridevirtual

Reimplemented from TMVA::Experimental::SOFIE::ROperator.

Definition at line 52 of file ROperator_Random.hxx.

Member Data Documentation

◆ fInputTensorNames

std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fInputTensorNames

mutableprotectedinherited

Definition at line 50 of file ROperator.hxx.

◆ fIsOutputConstant

bool TMVA::Experimental::SOFIE::ROperator::fIsOutputConstant = false

protectedinherited

flag to identify if operator has a constant output (no need to generate code)

Definition at line 47 of file ROperator.hxx.

◆ fIsOutputParamShape

bool TMVA::Experimental::SOFIE::ROperator::fIsOutputParamShape = false

protectedinherited

flag to identify of the output represents a parametric shape (can be knwon at compile time)

Definition at line 48 of file ROperator.hxx.

◆ fMode

RandomOpMode TMVA::Experimental::SOFIE::ROperator_Random::fMode

private

Definition at line 25 of file ROperator_Random.hxx.

◆ fNX

std::string TMVA::Experimental::SOFIE::ROperator_Random::fNX

private

Definition at line 27 of file ROperator_Random.hxx.

◆ fNY

std::string TMVA::Experimental::SOFIE::ROperator_Random::fNY

private

Definition at line 28 of file ROperator_Random.hxx.

◆ fOutputTensorNames

std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fOutputTensorNames

mutableprotectedinherited

Definition at line 51 of file ROperator.hxx.

◆ fParams

std::map<std::string,float> TMVA::Experimental::SOFIE::ROperator_Random::fParams

private

Definition at line 31 of file ROperator_Random.hxx.

◆ fSeed

int TMVA::Experimental::SOFIE::ROperator_Random::fSeed

private

Definition at line 29 of file ROperator_Random.hxx.

◆ fShapeY

std::vector<size_t> TMVA::Experimental::SOFIE::ROperator_Random::fShapeY

private

Definition at line 30 of file ROperator_Random.hxx.

◆ fType

ETensorType TMVA::Experimental::SOFIE::ROperator_Random::fType

private

Definition at line 26 of file ROperator_Random.hxx.

◆ fUseROOT

bool TMVA::Experimental::SOFIE::ROperator_Random::fUseROOT = true

Definition at line 22 of file ROperator_Random.hxx.

◆ fUseSession

bool TMVA::Experimental::SOFIE::ROperator::fUseSession = false

protectedinherited

flag to identify if using the session class

Definition at line 46 of file ROperator.hxx.

◆ SP

const std::string TMVA::Experimental::SOFIE::ROperator::SP = " "

protectedinherited

space used to correctly indent the generated C++ code

Definition at line 45 of file ROperator.hxx.

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

tmva/sofie/inc/TMVA/ROperator_Random.hxx

Public Member Functions

Public Attributes

Protected Attributes

Private Attributes

Constructor & Destructor Documentation

◆ ROperator_Random() [1/2]

◆ ROperator_Random() [2/2]

Member Function Documentation

◆ Generate()

◆ GenerateDeclCode()

◆ GenerateInitCode()

◆ GenerateSessionMembersCode()

◆ GetBlasRoutines()

◆ GetOpInputTensors()

◆ GetOpOutputTensors()

◆ GetStdLibs()

◆ Header()

◆ Initialize()

◆ IsOutputConstant()

◆ ShapeInference()

◆ TypeInference()

Member Data Documentation

◆ fInputTensorNames

◆ fIsOutputConstant

◆ fIsOutputParamShape

◆ fMode

◆ fNX

◆ fNY

◆ fOutputTensorNames

◆ fParams

◆ fSeed

◆ fShapeY

◆ fType

◆ fUseROOT

◆ fUseSession

◆ SP