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)
template<typename T>
void	AddInitializedTensor (const std::string &tensor_name, const std::vector< std::size_t > &shape, T *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)
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<>
std::vector< Dim >	GetTensorData (const std::string &name)
template<class T>
std::vector< T >	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)
TClass *	IsA () const
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	Streamer (TBuffer &)
void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
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="")

Static Public Member Functions
static TClass *	Class ()
static const char *	Class_Name ()
static constexpr Version_t	Class_Version ()
static const char *	DeclFileName ()

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::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 54 of file RModel.hxx.

◆ RModel() [3/3]

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

inline

Definition at line 57 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 246 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 92 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 84 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 228 of file RModel.cxx.

◆ AddDynamicTensor()

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

Definition at line 314 of file RModel.cxx.

◆ AddInitializedTensor() [1/2]

template<typename T>

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

inline

Definition at line 101 of file RModel.hxx.

◆ 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 218 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 297 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 305 of file RModel.cxx.

◆ AddNeededCustomHeader()

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

inlineinherited

Definition at line 90 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 339 of file RModel.cxx.

◆ AddShapeParam()

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

Definition at line 331 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 238 of file RModel.cxx.

◆ AllocateIntermediateMemory()

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

Definition at line 379 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 484 of file RModel.cxx.

◆ CheckIfTensorAlreadyExist()

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

Definition at line 157 of file RModel.cxx.

◆ Class()

TClass * TMVA::Experimental::SOFIE::RModel::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

const char * TMVA::Experimental::SOFIE::RModel::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

constexpr Version_t TMVA::Experimental::SOFIE::RModel::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 242 of file RModel.hxx.

◆ 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 1002 of file RModel.cxx.

◆ DeclFileName()

const char * TMVA::Experimental::SOFIE::RModel::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 242 of file RModel.hxx.

◆ 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 155 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 1446 of file RModel.cxx.

◆ GenerateDynamicTensorInfo()

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

protected

Definition at line 904 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 1060 of file RModel.cxx.

◆ GenerateInitializedTensorInfo()

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

protected

Definition at line 789 of file RModel.cxx.

◆ GenerateIntermediateMemoryPool()

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

protected

Definition at line 825 of file RModel.cxx.

◆ GenerateIntermediateTensorInfo()

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

protected

Definition at line 836 of file RModel.cxx.

◆ GenerateOperatorDeclarations()

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

protected

Definition at line 893 of file RModel.cxx.

◆ GenerateOutput()

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

protected

Definition at line 1115 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 1720 of file RModel.cxx.

◆ GenerateSessionCode()

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

protected

Definition at line 1230 of file RModel.cxx.

◆ GetConstantTensorSize()

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

inline

Definition at line 170 of file RModel.hxx.

◆ GetDimShapeNames()

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

inline

Definition at line 205 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 100 of file RModel_Base.hxx.

◆ GetInitializedTensorData()

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

Definition at line 362 of file RModel.cxx.

◆ GetInputTensorNames()

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

inline

Definition at line 203 of file RModel.hxx.

◆ GetIntermediateTensorSize()

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

inline

Definition at line 176 of file RModel.hxx.

◆ GetName()

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

inlineinherited

Definition at line 101 of file RModel_Base.hxx.

◆ GetOtherTensorSize()

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

inline

Definition at line 174 of file RModel.hxx.

◆ GetOutputTensorNames()

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

inline

Definition at line 204 of file RModel.hxx.

◆ GetShapeTensorValues()

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

Definition at line 264 of file RModel.cxx.

◆ GetTensorData() [1/2]

template<>

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

inline

Definition at line 249 of file RModel.hxx.

◆ GetTensorData() [2/2]

template<class T>

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

inline

Definition at line 249 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 172 of file RModel.hxx.

◆ HeadInitializedTensors()

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

Definition at line 1856 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 573 of file RModel.cxx.

◆ Initialize() [2/2]

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

Definition at line 563 of file RModel.cxx.

◆ InitializeSubGraph()

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

Definition at line 721 of file RModel.cxx.

◆ IsA()

TClass * TMVA::Experimental::SOFIE::RModel::IsA ( ) const

inline

Returns: TClass describing current object

Definition at line 242 of file RModel.hxx.

◆ IsAliasTensor()

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

check if a tensor is a alias tensor

Definition at line 260 of file RModel.cxx.

◆ IsConstantTensor()

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

Definition at line 273 of file RModel.cxx.

◆ IsDimInputTensor()

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

Definition at line 287 of file RModel.cxx.

◆ IsDynamicTensor()

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

Definition at line 282 of file RModel.cxx.

◆ IsInitializedTensor()

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

Definition at line 269 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 984 of file RModel.cxx.

◆ IsReadyInputTensor()

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

Definition at line 291 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 256 of file RModel.cxx.

◆ OutputGenerated()

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

Definition at line 1892 of file RModel.cxx.

◆ PrintDynamicTensors()

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

Definition at line 1827 of file RModel.cxx.

◆ PrintGenerated()

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

inlineinherited

Definition at line 95 of file RModel_Base.hxx.

◆ PrintInitializedTensors()

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

Definition at line 1794 of file RModel.cxx.

◆ PrintIntermediateTensors()

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

Definition at line 1812 of file RModel.cxx.

◆ PrintOutputTensors()

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

Definition at line 1842 of file RModel.cxx.

◆ PrintRequiredInputTensors()

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

Definition at line 1764 of file RModel.cxx.

◆ PrintSummary()

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

Definition at line 1703 of file RModel.cxx.

◆ ReadInitializedTensorsFromFile()

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

Definition at line 1511 of file RModel.cxx.

◆ ReturnGenerated()

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

inlineinherited

Definition at line 97 of file RModel_Base.hxx.

◆ SetFilename()

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

inline

Definition at line 214 of file RModel.hxx.

◆ SetNotWritableInitializedTensor()

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

Definition at line 371 of file RModel.cxx.

◆ SetOptimizationLevel()

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

inline

Definition at line 167 of file RModel.hxx.

◆ SetUseVDT()

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

inline

Definition at line 236 of file RModel.hxx.

◆ Streamer()

void TMVA::Experimental::SOFIE::RModel::Streamer ( TBuffer & R__b )

Definition at line 1914 of file RModel.cxx.

◆ StreamerNVirtual()

void TMVA::Experimental::SOFIE::RModel::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 242 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 353 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 346 of file RModel.cxx.

◆ UseSession()

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

inline

Definition at line 234 of file RModel.hxx.

◆ UseVDT()

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

inline

Definition at line 239 of file RModel.hxx.

◆ Verbose()

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

inline

Definition at line 59 of file RModel.hxx.

◆ WriteInitializedTensorsToFile()

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

Definition at line 1585 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.

◆ 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

Static 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()

◆ 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()

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ CollectTensorMemberNames()

◆ DeclFileName()

◆ 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()

◆ IsA()

◆ IsAliasTensor()

◆ IsConstantTensor()

◆ IsDimInputTensor()

◆ IsDynamicTensor()

◆ IsInitializedTensor()

◆ IsInputTensorShapeParam()

◆ IsReadyInputTensor()

◆ IsShapeTensor()

◆ OutputGenerated()