Definition at line 12 of file RModel.hxx.

Public Member Functions
	RModel ()=default
	Default constructor.

	RModel (std::string function_name)

	RModel (std::string name, std::string parsedtime)

void	AddAliasTensor (const std::string &tensor_name, const std::string &orig_tensor_name)

void	AddBlasRoutines (std::vector< std::string > routines)

template<class T >
void	AddConstantTensor (const std::string &name, const std::vector< size_t > &shape, const std::vector< T > &data)

template<class T >
void	AddConstantTensor (const std::string &name, const std::vector< size_t > &shape, const T *data)

void	AddConstantTensor (std::string tensor_name, ETensorType type, std::vector< std::size_t > shape, std::shared_ptr< void > data)

void	AddDynamicTensor (std::string tensor_name, ETensorType type, std::vector< Dim > shape)

void	AddExtraCodeForDimShapes (const std::string &code)

void	AddInitializedTensor (const std::string &tensor_name, ETensorType tensor_type, const std::vector< std::size_t > &shape, void *raw_data)

void	AddInitializedTensor (std::string tensor_name, ETensorType type, std::vector< std::size_t > shape, std::shared_ptr< void > data)

void	AddInputTensorInfo (std::string input_name, ETensorType type, std::vector< Dim > shape)

void	AddInputTensorInfo (std::string input_name, ETensorType type, std::vector< size_t > shape)

void	AddInputTensorName (std::string name)

void	AddIntermediateTensor (std::string tensor_name, ETensorType type, std::vector< Dim > dim_shape)

void	AddIntermediateTensor (std::string tensor_name, ETensorType type, std::vector< std::size_t > shape)

void	AddNeededCustomHeader (std::string filename)

void	AddNeededStdLib (std::string libname)

void	AddOperator (std::unique_ptr< ROperator > op, int order_execution=-1)

void	AddOutputTensorNameList (std::vector< std::string > output_tensor_names)

void	AddShapeParam (const std::string &name, size_t def_value=0)

void	AddShapeTensor (const std::string &name, const std::vector< Dim > &shapeValues, bool scalar=false)

std::string	AllocateIntermediateMemory (std::span< const std::string_view > op_output_tensors)

void	CheckAndFlushIntermediateMemory (std::span< const std::string_view > op_output_tensors, const size_t &op_idx)

bool	CheckIfTensorAlreadyExist (std::string tensor_name)

	ClassDefNV (RModel, 4)

void	Generate (Options options=Options::kDefault, int batchSize=-1, int pos=0, bool verbose=false)

void	Generate (std::underlying_type_t< Options > options, int batchSize=-1, long pos=0, bool verbose=false)

void	GenerateHeaderInfo (std::string &hgname)

std::string	GenerateInferSignature (bool isdecl=true)

size_t	GetConstantTensorSize () const

const std::vector< std::string > &	GetDimShapeNames () const

std::vector< Dim >	GetDimTensorShape (const std::string &name) const

std::vector< Dim >	GetDynamicTensorShape (const std::string &name) const

std::string	GetFilename ()

std::shared_ptr< void >	GetInitializedTensorData (std::string tensor_name)

const std::vector< std::string > &	GetInputTensorNames () const

size_t	GetIntermediateTensorSize () const

const std::string &	GetName () const

size_t	GetOtherTensorSize () const

const std::vector< std::string > &	GetOutputTensorNames () const

const std::vector< Dim > &	GetShapeTensorValues (const std::string &tensor_name) const

template<class T >
std::vector< T >	GetTensorData (const std::string &name)

template<>
std::vector< Dim >	GetTensorData (const std::string &name)

std::vector< size_t >	GetTensorShape (const std::string &name) const

ETensorType	GetTensorType (std::string name) const

size_t	GetWeightsTensorSize () const

void	HeadInitializedTensors (std::string name, int n_print=50)

void	Initialize (const std::map< std::string, size_t > &inputParams, bool verbose=false)

void	Initialize (int batchSize=-1, bool verbose=false)

void	InitializeSubGraph (std::shared_ptr< RModel > graph)

bool	IsAliasTensor (const std::string &name) const
	check if a tensor is a alias tensor

bool	IsConstantTensor (const std::string &name) const

bool	IsDimInputTensor (const std::string &name) const

bool	IsDynamicTensor (const std::string &name) const

bool	IsInitializedTensor (const std::string &name) const

bool	IsReadyInputTensor (const std::string &name) const

bool	IsShapeTensor (const std::string &name) const
	check if a tensor is a shape tensor

void	OutputGenerated (std::string filename="", bool append=false)

void	PrintDynamicTensors () const

void	PrintGenerated (std::ostream &os=std::cout)

void	PrintInitializedTensors () const

void	PrintIntermediateTensors () const

void	PrintOutputTensors () const

void	PrintRequiredInputTensors () const

void	PrintSummary () const

void	ReadInitializedTensorsFromFile (long)

std::string	ReturnGenerated ()

void	SetFilename (std::string filename)

void	SetNotWritableInitializedTensor (const std::string &tensor_name)

void	SetOptimizationLevel (OptimizationLevel optim_level)

void	SetUseVDT (bool on)

void	UpdateInitializedTensor (std::string tensor_name, ETensorType type, std::vector< std::size_t > shape, std::shared_ptr< void > data)

void	UpdateOutputTensorList (std::vector< std::string > curr_output_tensor, std::vector< std::string > modify_output_tensor)

bool	UseSession () const

bool	UseVDT () const

int	Verbose () const

long	WriteInitializedTensorsToFile (std::string filename="")

Protected Member Functions
std::vector< std::string >	CollectTensorMemberNames (const std::string &input)
	Collects all identifiers starting with "tensor_" in the input code, provided that the occurrence is not immediately preceded by a character that is valid in a C++ identifier.

void	GenerateDynamicTensorInfo ()

void	GenerateInitializedTensorInfo ()

void	GenerateIntermediateMemoryPool ()

void	GenerateIntermediateTensorInfo ()

void	GenerateOperatorDeclarations ()

void	GenerateOutput ()

void	GenerateRequiredInputTensorInfo ()
	To emit the dimensions of the input tensors as a data member of a session, which is helpful when validating the inference inputs.

void	GenerateSessionCode ()

bool	IsInputTensorShapeParam (std::string const &name) const
	Check if a given parameter is used for the shape of an input tensor.

Protected Attributes
std::unordered_set< std::string >	fCustomOpHeaders

std::string	fFileName

std::string	fGC

bool	fIsGNN = false

bool	fIsGNNComponent = false

std::string	fName = "UnnamedModel"

std::unordered_set< std::string >	fNeededBlasRoutines

std::unordered_set< std::string >	fNeededStdLib = {"vector"}

std::string	fParseTime

bool	fUseSession = true

bool	fUseWeightFile = true

WeightFileType	fWeightFile = WeightFileType::Text

Private Attributes
std::unordered_map< std::string, std::string >	fAliasTensors

int	fBatchSize = -1

size_t	fConstantTensorSize = 0

std::vector< std::string >	fDimShapeNames

std::unordered_map< std::string, DynamicTensorInfo >	fDynamicTensorInfos

std::string	fExtraCodeForDimShapes

std::unordered_map< std::string, InitializedTensor >	fInitializedTensors

std::unordered_map< std::string, InputTensorInfo >	fInputTensorInfos

std::vector< std::string >	fInputTensorNames

MemoryPoolInfo	fIntermediateMemoryInfo
	! intermediate memory info (transient)

std::unordered_map< std::string_view, size_t >	fIntermediateTensorFrequencyLookup
	! lookup table for intermediate tensor frequency (transient)

std::unordered_map< std::string, TensorInfo >	fIntermediateTensorInfos

bool	fIsInitialized = false

bool	fIsSubGraph = false

std::vector< std::unique_ptr< ROperator > >	fOperators

OptimizationLevel	fOptimizationLevel = OptimizationLevel::kExtended

size_t	fOtherTensorSize = 0

std::vector< std::string >	fOutputTensorNames

RModel *	fParentGraph = nullptr

long	fReadPos = 0

std::unordered_map< std::string, TensorInfo >	fReadyInputTensorInfos

std::unordered_map< std::string, std::string >	fShapeParams

std::unordered_map< std::string, std::pair< std::vector< Dim >, bool > >	fShapeTensors

std::vector< std::shared_ptr< RModel > >	fSubGraphs
	! sub-graph models (transient)

bool	fUseVDT = false

int	fVerbose = 0

size_t	fWeightsTensorSize = 0

#include <TMVA/RModel.hxx>

Inheritance diagram for TMVA::Experimental::SOFIE::RModel:

Constructor & Destructor Documentation

◆ RModel() [1/3]

TMVA::Experimental::SOFIE::RModel::RModel ( )

default

Default constructor.

Needed to allow serialization of ROOT objects. See https://root.cern/manual/io_custom_classes/#restrictions-on-types-root-io-can-handle

◆ RModel() [2/3]

TMVA::Experimental::SOFIE::RModel::RModel	(	std::string	name,
		std::string	parsedtime )

inline

Definition at line 56 of file RModel.hxx.

◆ RModel() [3/3]

TMVA::Experimental::SOFIE::RModel::RModel ( std::string function_name )

inline

Definition at line 59 of file RModel.hxx.

Member Function Documentation

◆ AddAliasTensor()

void TMVA::Experimental::SOFIE::RModel::AddAliasTensor	(	const std::string &	tensor_name,
		const std::string &	orig_tensor_name )

Definition at line 260 of file RModel.cxx.

◆ AddBlasRoutines()

void TMVA::Experimental::SOFIE::RModel_Base::AddBlasRoutines ( std::vector< std::string > routines )

inlineinherited

Definition at line 77 of file RModel_Base.hxx.

◆ AddConstantTensor() [1/3]

template<class T >

void TMVA::Experimental::SOFIE::RModel::AddConstantTensor	(	const std::string &	name,
		const std::vector< size_t > &	shape,
		const std::vector< T > &	data )

inline

Definition at line 96 of file RModel.hxx.

◆ AddConstantTensor() [2/3]

template<class T >

void TMVA::Experimental::SOFIE::RModel::AddConstantTensor	(	const std::string &	name,
		const std::vector< size_t > &	shape,
		const T *	data )

inline

Definition at line 88 of file RModel.hxx.

◆ AddConstantTensor() [3/3]

void TMVA::Experimental::SOFIE::RModel::AddConstantTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< std::size_t >	shape,
		std::shared_ptr< void >	data )

Definition at line 242 of file RModel.cxx.

◆ AddDynamicTensor()

void TMVA::Experimental::SOFIE::RModel::AddDynamicTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< Dim >	shape )

Definition at line 328 of file RModel.cxx.

◆ AddExtraCodeForDimShapes()

void TMVA::Experimental::SOFIE::RModel::AddExtraCodeForDimShapes ( const std::string & code )

inline

Definition at line 106 of file RModel.hxx.

◆ AddInitializedTensor() [1/2]

void TMVA::Experimental::SOFIE::RModel::AddInitializedTensor	(	const std::string &	tensor_name,
		ETensorType	tensor_type,
		const std::vector< std::size_t > &	shape,
		void *	raw_data )

Definition at line 232 of file RModel.cxx.

◆ AddInitializedTensor() [2/2]

void TMVA::Experimental::SOFIE::RModel::AddInitializedTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< std::size_t >	shape,
		std::shared_ptr< void >	data )

Definition at line 222 of file RModel.cxx.

◆ AddInputTensorInfo() [1/2]

void TMVA::Experimental::SOFIE::RModel::AddInputTensorInfo	(	std::string	input_name,
		ETensorType	type,
		std::vector< Dim >	shape )

Definition at line 168 of file RModel.cxx.

◆ AddInputTensorInfo() [2/2]

void TMVA::Experimental::SOFIE::RModel::AddInputTensorInfo	(	std::string	input_name,
		ETensorType	type,
		std::vector< size_t >	shape )

Definition at line 178 of file RModel.cxx.

◆ AddInputTensorName()

void TMVA::Experimental::SOFIE::RModel::AddInputTensorName ( std::string name )

Definition at line 187 of file RModel.cxx.

◆ AddIntermediateTensor() [1/2]

void TMVA::Experimental::SOFIE::RModel::AddIntermediateTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< Dim >	dim_shape )

Definition at line 311 of file RModel.cxx.

◆ AddIntermediateTensor() [2/2]

void TMVA::Experimental::SOFIE::RModel::AddIntermediateTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< std::size_t >	shape )

Definition at line 319 of file RModel.cxx.

◆ AddNeededCustomHeader()

void TMVA::Experimental::SOFIE::RModel_Base::AddNeededCustomHeader ( std::string filename )

inlineinherited

Definition at line 88 of file RModel_Base.hxx.

◆ AddNeededStdLib()

void TMVA::Experimental::SOFIE::RModel_Base::AddNeededStdLib ( std::string libname )

inlineinherited

Definition at line 83 of file RModel_Base.hxx.

◆ AddOperator()

void TMVA::Experimental::SOFIE::RModel::AddOperator	(	std::unique_ptr< ROperator >	op,
		int	order_execution = -1 )

Definition at line 191 of file RModel.cxx.

◆ AddOutputTensorNameList()

void TMVA::Experimental::SOFIE::RModel::AddOutputTensorNameList ( std::vector< std::string > output_tensor_names )

Definition at line 353 of file RModel.cxx.

◆ AddShapeParam()

void TMVA::Experimental::SOFIE::RModel::AddShapeParam	(	const std::string &	name,
		size_t	def_value = 0 )

Definition at line 345 of file RModel.cxx.

◆ AddShapeTensor()

void TMVA::Experimental::SOFIE::RModel::AddShapeTensor	(	const std::string &	name,
		const std::vector< Dim > &	shapeValues,
		bool	scalar = false )

Definition at line 252 of file RModel.cxx.

◆ AllocateIntermediateMemory()

std::string TMVA::Experimental::SOFIE::RModel::AllocateIntermediateMemory ( std::span< const std::string_view > op_output_tensors )

Definition at line 393 of file RModel.cxx.

◆ CheckAndFlushIntermediateMemory()

void TMVA::Experimental::SOFIE::RModel::CheckAndFlushIntermediateMemory	(	std::span< const std::string_view >	op_output_tensors,
		const size_t &	op_idx )

Definition at line 498 of file RModel.cxx.

◆ CheckIfTensorAlreadyExist()

bool TMVA::Experimental::SOFIE::RModel::CheckIfTensorAlreadyExist ( std::string tensor_name )

Definition at line 157 of file RModel.cxx.

◆ ClassDefNV()

TMVA::Experimental::SOFIE::RModel::ClassDefNV	(	RModel	,
		4	)

◆ CollectTensorMemberNames()

std::vector< std::string > TMVA::Experimental::SOFIE::RModel::CollectTensorMemberNames ( const std::string & input )

protected

Collects all identifiers starting with "tensor_" in the input code, provided that the occurrence is not immediately preceded by a character that is valid in a C++ identifier.

Excludes input and output tensor names. Returns a deduplicated std::vector<std::string>.

Definition at line 1030 of file RModel.cxx.

◆ Generate() [1/2]

void TMVA::Experimental::SOFIE::RModel::Generate	(	Options	options = Options::kDefault,
		int	batchSize = -1,
		int	pos = 0,
		bool	verbose = false )

inline

Definition at line 151 of file RModel.hxx.

◆ Generate() [2/2]

void TMVA::Experimental::SOFIE::RModel::Generate	(	std::underlying_type_t< Options >	options,
		int	batchSize = -1,
		long	pos = 0,
		bool	verbose = false )

Definition at line 1477 of file RModel.cxx.

◆ GenerateDynamicTensorInfo()

void TMVA::Experimental::SOFIE::RModel::GenerateDynamicTensorInfo ( )

protected

Definition at line 932 of file RModel.cxx.

◆ GenerateHeaderInfo()

void TMVA::Experimental::SOFIE::RModel_Base::GenerateHeaderInfo ( std::string & hgname )

inherited

Definition at line 15 of file RModel_Base.cxx.

◆ GenerateInferSignature()

std::string TMVA::Experimental::SOFIE::RModel::GenerateInferSignature ( bool isdecl = true )

Definition at line 1088 of file RModel.cxx.

◆ GenerateInitializedTensorInfo()

void TMVA::Experimental::SOFIE::RModel::GenerateInitializedTensorInfo ( )

protected

Definition at line 804 of file RModel.cxx.

◆ GenerateIntermediateMemoryPool()

void TMVA::Experimental::SOFIE::RModel::GenerateIntermediateMemoryPool ( )

protected

Definition at line 853 of file RModel.cxx.

◆ GenerateIntermediateTensorInfo()

void TMVA::Experimental::SOFIE::RModel::GenerateIntermediateTensorInfo ( )

protected

Definition at line 864 of file RModel.cxx.

◆ GenerateOperatorDeclarations()

void TMVA::Experimental::SOFIE::RModel::GenerateOperatorDeclarations ( )

protected

Definition at line 921 of file RModel.cxx.

◆ GenerateOutput()

void TMVA::Experimental::SOFIE::RModel::GenerateOutput ( )

protected

Definition at line 1143 of file RModel.cxx.

◆ GenerateRequiredInputTensorInfo()

void TMVA::Experimental::SOFIE::RModel::GenerateRequiredInputTensorInfo ( )

protected

To emit the dimensions of the input tensors as a data member of a session, which is helpful when validating the inference inputs.

Definition at line 1751 of file RModel.cxx.

◆ GenerateSessionCode()

void TMVA::Experimental::SOFIE::RModel::GenerateSessionCode ( )

protected

Definition at line 1259 of file RModel.cxx.

◆ GetConstantTensorSize()

size_t TMVA::Experimental::SOFIE::RModel::GetConstantTensorSize ( ) const

inline

Definition at line 166 of file RModel.hxx.

◆ GetDimShapeNames()

const std::vector< std::string > & TMVA::Experimental::SOFIE::RModel::GetDimShapeNames ( ) const

inline

Definition at line 201 of file RModel.hxx.

◆ GetDimTensorShape()

std::vector< Dim > TMVA::Experimental::SOFIE::RModel::GetDimTensorShape ( const std::string & name ) const

Definition at line 100 of file RModel.cxx.

◆ GetDynamicTensorShape()

std::vector< Dim > TMVA::Experimental::SOFIE::RModel::GetDynamicTensorShape ( const std::string & name ) const

Definition at line 111 of file RModel.cxx.

◆ GetFilename()

std::string TMVA::Experimental::SOFIE::RModel_Base::GetFilename ( )

inlineinherited

Definition at line 98 of file RModel_Base.hxx.

◆ GetInitializedTensorData()

std::shared_ptr< void > TMVA::Experimental::SOFIE::RModel::GetInitializedTensorData ( std::string tensor_name )

Definition at line 376 of file RModel.cxx.

◆ GetInputTensorNames()

const std::vector< std::string > & TMVA::Experimental::SOFIE::RModel::GetInputTensorNames ( ) const

inline

Definition at line 199 of file RModel.hxx.

◆ GetIntermediateTensorSize()

size_t TMVA::Experimental::SOFIE::RModel::GetIntermediateTensorSize ( ) const

inline

Definition at line 172 of file RModel.hxx.

◆ GetName()

const std::string & TMVA::Experimental::SOFIE::RModel_Base::GetName ( ) const

inlineinherited

Definition at line 99 of file RModel_Base.hxx.

◆ GetOtherTensorSize()

size_t TMVA::Experimental::SOFIE::RModel::GetOtherTensorSize ( ) const

inline

Definition at line 170 of file RModel.hxx.

◆ GetOutputTensorNames()

const std::vector< std::string > & TMVA::Experimental::SOFIE::RModel::GetOutputTensorNames ( ) const

inline

Definition at line 200 of file RModel.hxx.

◆ GetShapeTensorValues()

const std::vector< Dim > & TMVA::Experimental::SOFIE::RModel::GetShapeTensorValues ( const std::string & tensor_name ) const

Definition at line 278 of file RModel.cxx.

◆ GetTensorData() [1/2]

template<class T >

std::vector< T > TMVA::Experimental::SOFIE::RModel::GetTensorData ( const std::string & name )

inline

Definition at line 245 of file RModel.hxx.

◆ GetTensorData() [2/2]

template<>

std::vector< Dim > TMVA::Experimental::SOFIE::RModel::GetTensorData ( const std::string & name )

inline

Definition at line 245 of file RModel.hxx.

◆ GetTensorShape()

std::vector< size_t > TMVA::Experimental::SOFIE::RModel::GetTensorShape ( const std::string & name ) const

Definition at line 64 of file RModel.cxx.

◆ GetTensorType()

ETensorType TMVA::Experimental::SOFIE::RModel::GetTensorType ( std::string name ) const

Definition at line 125 of file RModel.cxx.

◆ GetWeightsTensorSize()

size_t TMVA::Experimental::SOFIE::RModel::GetWeightsTensorSize ( ) const

inline

Definition at line 168 of file RModel.hxx.

◆ HeadInitializedTensors()

void TMVA::Experimental::SOFIE::RModel::HeadInitializedTensors	(	std::string	name,
		int	n_print = 50 )

Definition at line 1923 of file RModel.cxx.

◆ Initialize() [1/2]

void TMVA::Experimental::SOFIE::RModel::Initialize	(	const std::map< std::string, size_t > &	inputParams,
		bool	verbose = false )

Definition at line 587 of file RModel.cxx.

◆ Initialize() [2/2]

void TMVA::Experimental::SOFIE::RModel::Initialize	(	int	batchSize = -1,
		bool	verbose = false )

Definition at line 577 of file RModel.cxx.

◆ InitializeSubGraph()

void TMVA::Experimental::SOFIE::RModel::InitializeSubGraph ( std::shared_ptr< RModel > graph )

Definition at line 735 of file RModel.cxx.

◆ IsAliasTensor()

bool TMVA::Experimental::SOFIE::RModel::IsAliasTensor ( const std::string & name ) const

check if a tensor is a alias tensor

Definition at line 274 of file RModel.cxx.

◆ IsConstantTensor()

bool TMVA::Experimental::SOFIE::RModel::IsConstantTensor ( const std::string & name ) const

Definition at line 287 of file RModel.cxx.

◆ IsDimInputTensor()

bool TMVA::Experimental::SOFIE::RModel::IsDimInputTensor ( const std::string & name ) const

Definition at line 301 of file RModel.cxx.

◆ IsDynamicTensor()

bool TMVA::Experimental::SOFIE::RModel::IsDynamicTensor ( const std::string & name ) const

Definition at line 296 of file RModel.cxx.

◆ IsInitializedTensor()

bool TMVA::Experimental::SOFIE::RModel::IsInitializedTensor ( const std::string & name ) const

Definition at line 283 of file RModel.cxx.

◆ IsInputTensorShapeParam()

bool TMVA::Experimental::SOFIE::RModel::IsInputTensorShapeParam ( std::string const & name ) const

protected

Check if a given parameter is used for the shape of an input tensor.

Definition at line 1012 of file RModel.cxx.

◆ IsReadyInputTensor()

bool TMVA::Experimental::SOFIE::RModel::IsReadyInputTensor ( const std::string & name ) const

Definition at line 305 of file RModel.cxx.

◆ IsShapeTensor()

bool TMVA::Experimental::SOFIE::RModel::IsShapeTensor ( const std::string & name ) const

check if a tensor is a shape tensor

Definition at line 270 of file RModel.cxx.

◆ OutputGenerated()

void TMVA::Experimental::SOFIE::RModel::OutputGenerated	(	std::string	filename = "",
		bool	append = false )

Definition at line 1959 of file RModel.cxx.

◆ PrintDynamicTensors()

void TMVA::Experimental::SOFIE::RModel::PrintDynamicTensors ( ) const

Definition at line 1894 of file RModel.cxx.

◆ PrintGenerated()

void TMVA::Experimental::SOFIE::RModel_Base::PrintGenerated ( std::ostream & os = std::cout )

inlineinherited

Definition at line 93 of file RModel_Base.hxx.

◆ PrintInitializedTensors()

void TMVA::Experimental::SOFIE::RModel::PrintInitializedTensors ( ) const

Definition at line 1861 of file RModel.cxx.

◆ PrintIntermediateTensors()

void TMVA::Experimental::SOFIE::RModel::PrintIntermediateTensors ( ) const

Definition at line 1879 of file RModel.cxx.

◆ PrintOutputTensors()

void TMVA::Experimental::SOFIE::RModel::PrintOutputTensors ( ) const

Definition at line 1909 of file RModel.cxx.

◆ PrintRequiredInputTensors()

void TMVA::Experimental::SOFIE::RModel::PrintRequiredInputTensors ( ) const

Definition at line 1831 of file RModel.cxx.

◆ PrintSummary()

void TMVA::Experimental::SOFIE::RModel::PrintSummary ( ) const

Definition at line 1734 of file RModel.cxx.

◆ ReadInitializedTensorsFromFile()

void TMVA::Experimental::SOFIE::RModel::ReadInitializedTensorsFromFile ( long pos )

Definition at line 1542 of file RModel.cxx.

◆ ReturnGenerated()

std::string TMVA::Experimental::SOFIE::RModel_Base::ReturnGenerated ( )

inlineinherited

Definition at line 95 of file RModel_Base.hxx.

◆ SetFilename()

void TMVA::Experimental::SOFIE::RModel::SetFilename ( std::string filename )

inline

Definition at line 210 of file RModel.hxx.

◆ SetNotWritableInitializedTensor()

void TMVA::Experimental::SOFIE::RModel::SetNotWritableInitializedTensor ( const std::string & tensor_name )

Definition at line 385 of file RModel.cxx.

◆ SetOptimizationLevel()

void TMVA::Experimental::SOFIE::RModel::SetOptimizationLevel ( OptimizationLevel optim_level )

inline

Definition at line 163 of file RModel.hxx.

◆ SetUseVDT()

void TMVA::Experimental::SOFIE::RModel::SetUseVDT ( bool on )

inline

Definition at line 232 of file RModel.hxx.

◆ UpdateInitializedTensor()

void TMVA::Experimental::SOFIE::RModel::UpdateInitializedTensor	(	std::string	tensor_name,
		ETensorType	type,
		std::vector< std::size_t >	shape,
		std::shared_ptr< void >	data )

Definition at line 367 of file RModel.cxx.

◆ UpdateOutputTensorList()

void TMVA::Experimental::SOFIE::RModel::UpdateOutputTensorList	(	std::vector< std::string >	curr_output_tensor,
		std::vector< std::string >	modify_output_tensor )

Definition at line 360 of file RModel.cxx.

◆ UseSession()

bool TMVA::Experimental::SOFIE::RModel::UseSession ( ) const

inline

Definition at line 230 of file RModel.hxx.

◆ UseVDT()

bool TMVA::Experimental::SOFIE::RModel::UseVDT ( ) const

inline

Definition at line 235 of file RModel.hxx.

◆ Verbose()

int TMVA::Experimental::SOFIE::RModel::Verbose ( ) const

inline

Definition at line 61 of file RModel.hxx.

◆ WriteInitializedTensorsToFile()

long TMVA::Experimental::SOFIE::RModel::WriteInitializedTensorsToFile ( std::string filename = "" )

Definition at line 1616 of file RModel.cxx.

Member Data Documentation

◆ fAliasTensors

std::unordered_map<std::string, std::string> TMVA::Experimental::SOFIE::RModel::fAliasTensors

private

Definition at line 34 of file RModel.hxx.

◆ fBatchSize

int TMVA::Experimental::SOFIE::RModel::fBatchSize = -1

private

Definition at line 19 of file RModel.hxx.

◆ fConstantTensorSize

size_t TMVA::Experimental::SOFIE::RModel::fConstantTensorSize = 0

private

Definition at line 21 of file RModel.hxx.

◆ fCustomOpHeaders

std::unordered_set<std::string> TMVA::Experimental::SOFIE::RModel_Base::fCustomOpHeaders

protectedinherited

Definition at line 56 of file RModel_Base.hxx.

◆ fDimShapeNames

std::vector<std::string> TMVA::Experimental::SOFIE::RModel::fDimShapeNames

private

Definition at line 35 of file RModel.hxx.

◆ fDynamicTensorInfos

std::unordered_map<std::string, DynamicTensorInfo> TMVA::Experimental::SOFIE::RModel::fDynamicTensorInfos

private

Definition at line 31 of file RModel.hxx.

◆ fExtraCodeForDimShapes

std::string TMVA::Experimental::SOFIE::RModel::fExtraCodeForDimShapes

private

Definition at line 48 of file RModel.hxx.

◆ fFileName

std::string TMVA::Experimental::SOFIE::RModel_Base::fFileName

protectedinherited

Definition at line 48 of file RModel_Base.hxx.

◆ fGC

std::string TMVA::Experimental::SOFIE::RModel_Base::fGC

protectedinherited

Definition at line 59 of file RModel_Base.hxx.

◆ fInitializedTensors

std::unordered_map<std::string, InitializedTensor> TMVA::Experimental::SOFIE::RModel::fInitializedTensors

private

Definition at line 29 of file RModel.hxx.

◆ fInputTensorInfos

std::unordered_map<std::string, InputTensorInfo> TMVA::Experimental::SOFIE::RModel::fInputTensorInfos

private

Definition at line 27 of file RModel.hxx.

◆ fInputTensorNames

std::vector<std::string> TMVA::Experimental::SOFIE::RModel::fInputTensorNames

private

Definition at line 37 of file RModel.hxx.

◆ fIntermediateMemoryInfo

MemoryPoolInfo TMVA::Experimental::SOFIE::RModel::fIntermediateMemoryInfo

private

! intermediate memory info (transient)

Definition at line 45 of file RModel.hxx.

◆ fIntermediateTensorFrequencyLookup

std::unordered_map<std::string_view, size_t> TMVA::Experimental::SOFIE::RModel::fIntermediateTensorFrequencyLookup

private

! lookup table for intermediate tensor frequency (transient)

Definition at line 46 of file RModel.hxx.

◆ fIntermediateTensorInfos

std::unordered_map<std::string, TensorInfo> TMVA::Experimental::SOFIE::RModel::fIntermediateTensorInfos

private

Definition at line 30 of file RModel.hxx.

◆ fIsGNN

bool TMVA::Experimental::SOFIE::RModel_Base::fIsGNN = false

protectedinherited

Definition at line 62 of file RModel_Base.hxx.

◆ fIsGNNComponent

bool TMVA::Experimental::SOFIE::RModel_Base::fIsGNNComponent = false

protectedinherited

Definition at line 63 of file RModel_Base.hxx.

◆ fIsInitialized

bool TMVA::Experimental::SOFIE::RModel::fIsInitialized = false

private

Definition at line 15 of file RModel.hxx.

◆ fIsSubGraph

bool TMVA::Experimental::SOFIE::RModel::fIsSubGraph = false

private

Definition at line 16 of file RModel.hxx.

◆ fName

std::string TMVA::Experimental::SOFIE::RModel_Base::fName = "UnnamedModel"

protectedinherited

Definition at line 58 of file RModel_Base.hxx.

◆ fNeededBlasRoutines

std::unordered_set<std::string> TMVA::Experimental::SOFIE::RModel_Base::fNeededBlasRoutines

protectedinherited

Definition at line 53 of file RModel_Base.hxx.

◆ fNeededStdLib

std::unordered_set<std::string> TMVA::Experimental::SOFIE::RModel_Base::fNeededStdLib = {"vector"}

protectedinherited

Definition at line 55 of file RModel_Base.hxx.

◆ fOperators

std::vector<std::unique_ptr<ROperator> > TMVA::Experimental::SOFIE::RModel::fOperators

private

Definition at line 39 of file RModel.hxx.

◆ fOptimizationLevel

OptimizationLevel TMVA::Experimental::SOFIE::RModel::fOptimizationLevel = OptimizationLevel::kExtended

private

Definition at line 25 of file RModel.hxx.

◆ fOtherTensorSize

size_t TMVA::Experimental::SOFIE::RModel::fOtherTensorSize = 0

private

Definition at line 23 of file RModel.hxx.

◆ fOutputTensorNames

std::vector<std::string> TMVA::Experimental::SOFIE::RModel::fOutputTensorNames

private

Definition at line 36 of file RModel.hxx.

◆ fParentGraph

RModel* TMVA::Experimental::SOFIE::RModel::fParentGraph = nullptr

private

Definition at line 42 of file RModel.hxx.

◆ fParseTime

std::string TMVA::Experimental::SOFIE::RModel_Base::fParseTime

protectedinherited

Definition at line 49 of file RModel_Base.hxx.

◆ fReadPos

long TMVA::Experimental::SOFIE::RModel::fReadPos = 0

private

Definition at line 20 of file RModel.hxx.

◆ fReadyInputTensorInfos

std::unordered_map<std::string, TensorInfo> TMVA::Experimental::SOFIE::RModel::fReadyInputTensorInfos

private

Definition at line 28 of file RModel.hxx.

◆ fShapeParams

std::unordered_map<std::string, std::string> TMVA::Experimental::SOFIE::RModel::fShapeParams

private

Definition at line 33 of file RModel.hxx.

◆ fShapeTensors

std::unordered_map<std::string, std::pair<std::vector<Dim>, bool> > TMVA::Experimental::SOFIE::RModel::fShapeTensors

private

Definition at line 32 of file RModel.hxx.

◆ fSubGraphs

std::vector<std::shared_ptr<RModel> > TMVA::Experimental::SOFIE::RModel::fSubGraphs

private

! sub-graph models (transient)

Definition at line 41 of file RModel.hxx.

◆ fUseSession

bool TMVA::Experimental::SOFIE::RModel_Base::fUseSession = true

protectedinherited

Definition at line 61 of file RModel_Base.hxx.

◆ fUseVDT

bool TMVA::Experimental::SOFIE::RModel::fUseVDT = false

private

Definition at line 17 of file RModel.hxx.

◆ fUseWeightFile

bool TMVA::Experimental::SOFIE::RModel_Base::fUseWeightFile = true

protectedinherited

Definition at line 60 of file RModel_Base.hxx.

◆ fVerbose

int TMVA::Experimental::SOFIE::RModel::fVerbose = 0

private

Definition at line 18 of file RModel.hxx.

◆ fWeightFile

WeightFileType TMVA::Experimental::SOFIE::RModel_Base::fWeightFile = WeightFileType::Text

protectedinherited

Definition at line 51 of file RModel_Base.hxx.

◆ fWeightsTensorSize

size_t TMVA::Experimental::SOFIE::RModel::fWeightsTensorSize = 0

private

Definition at line 22 of file RModel.hxx.

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

tmva/sofie/inc/TMVA/RModel.hxx
tmva/sofie/src/RModel.cxx

Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Constructor & Destructor Documentation

◆ RModel() [1/3]

◆ RModel() [2/3]

◆ RModel() [3/3]

Member Function Documentation

◆ AddAliasTensor()

◆ AddBlasRoutines()

◆ AddConstantTensor() [1/3]

◆ AddConstantTensor() [2/3]

◆ AddConstantTensor() [3/3]

◆ AddDynamicTensor()

◆ AddExtraCodeForDimShapes()

◆ AddInitializedTensor() [1/2]

◆ AddInitializedTensor() [2/2]

◆ AddInputTensorInfo() [1/2]

◆ AddInputTensorInfo() [2/2]

◆ AddInputTensorName()

◆ AddIntermediateTensor() [1/2]

◆ AddIntermediateTensor() [2/2]

◆ AddNeededCustomHeader()

◆ AddNeededStdLib()

◆ AddOperator()

◆ AddOutputTensorNameList()

◆ AddShapeParam()

◆ AddShapeTensor()

◆ AllocateIntermediateMemory()

◆ CheckAndFlushIntermediateMemory()

◆ CheckIfTensorAlreadyExist()

◆ ClassDefNV()

◆ CollectTensorMemberNames()

◆ Generate() [1/2]

◆ Generate() [2/2]

◆ GenerateDynamicTensorInfo()

◆ GenerateHeaderInfo()

◆ GenerateInferSignature()

◆ GenerateInitializedTensorInfo()

◆ GenerateIntermediateMemoryPool()

◆ GenerateIntermediateTensorInfo()

◆ GenerateOperatorDeclarations()

◆ GenerateOutput()

◆ GenerateRequiredInputTensorInfo()

◆ GenerateSessionCode()

◆ GetConstantTensorSize()

◆ GetDimShapeNames()

◆ GetDimTensorShape()

◆ GetDynamicTensorShape()

◆ GetFilename()

◆ GetInitializedTensorData()

◆ GetInputTensorNames()

◆ GetIntermediateTensorSize()

◆ GetName()

◆ GetOtherTensorSize()

◆ GetOutputTensorNames()

◆ GetShapeTensorValues()

◆ GetTensorData() [1/2]

◆ GetTensorData() [2/2]

◆ GetTensorShape()

◆ GetTensorType()

◆ GetWeightsTensorSize()

◆ HeadInitializedTensors()

◆ Initialize() [1/2]

◆ Initialize() [2/2]

◆ InitializeSubGraph()

◆ IsAliasTensor()

◆ IsConstantTensor()

◆ IsDimInputTensor()

◆ IsDynamicTensor()

◆ IsInitializedTensor()

◆ IsInputTensorShapeParam()

◆ IsReadyInputTensor()

◆ IsShapeTensor()

◆ OutputGenerated()

◆ PrintDynamicTensors()

◆ PrintGenerated()

◆ PrintInitializedTensors()

◆ PrintIntermediateTensors()