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TMVA::Experimental::SOFIE::ROperator_Custom< T > Class Template Referencefinal

template<typename T>
class TMVA::Experimental::SOFIE::ROperator_Custom< T >

Definition at line 15 of file ROperator_Custom.hxx.

Public Member Functions

 ROperator_Custom ()
 ROperator_Custom (std::string OpName, std::vector< std::string >Inputs, std::vector< std::string >Outputs, std::vector< std::vector< std::size_t > > OutputShapes, std::string HeaderName)
std::string Generate (std::string OpName) override
virtual std::string GenerateDeclCode ()
virtual std::string GenerateInitCode ()
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
virtual std::vector< std::string > GetStdLibs ()
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 > >) override
std::vector< ETensorType > TypeInference (std::vector< ETensorType >) override

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

std::string fHeaderName
std::vector< std::string > fInputNames
std::vector< std::size_t > fInputSizes
ETensorType fInputType
std::string fOpName
std::vector< std::string > fOutputNames
std::vector< std::vector< std::size_t > > fOutputShapes

#include <TMVA/ROperator_Custom.hxx>

Inheritance diagram for TMVA::Experimental::SOFIE::ROperator_Custom< T >:
TMVA::Experimental::SOFIE::ROperator

Constructor & Destructor Documentation

◆ ROperator_Custom() [1/2]

template<typename T>
TMVA::Experimental::SOFIE::ROperator_Custom< T >::ROperator_Custom ( )
inline

Definition at line 28 of file ROperator_Custom.hxx.

◆ ROperator_Custom() [2/2]

template<typename T>
TMVA::Experimental::SOFIE::ROperator_Custom< T >::ROperator_Custom ( std::string OpName,
std::vector< std::string > Inputs,
std::vector< std::string > Outputs,
std::vector< std::vector< std::size_t > > OutputShapes,
std::string HeaderName )
inline

Definition at line 29 of file ROperator_Custom.hxx.

Member Function Documentation

◆ Generate()

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Custom< T >::Generate ( std::string OpName)
inlineoverridevirtual

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

Definition at line 78 of file ROperator_Custom.hxx.

◆ GenerateDeclCode()

virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateDeclCode ( )
inlinevirtualinherited

Reimplemented in TMVA::Experimental::SOFIE::ROperator_Random.

Definition at line 31 of file ROperator.hxx.

◆ GenerateInitCode()

virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateInitCode ( )
inlinevirtualinherited

Reimplemented in TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_Conv< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Expand< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_ScatterElements, and TMVA::Experimental::SOFIE::ROperator_Where< T >.

Definition at line 29 of file ROperator.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()

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

Reimplemented in TMVA::Experimental::SOFIE::ROperator_Basic_Is< Op >, TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicNary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicUnary< T, Op >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_Gelu, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Swish< T >, and TMVA::Experimental::SOFIE::ROperator_Tanh< T >.

Definition at line 23 of file ROperator.hxx.

◆ Header()

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

Definition at line 34 of file ROperator.hxx.

◆ Initialize()

template<typename T>
void TMVA::Experimental::SOFIE::ROperator_Custom< T >::Initialize ( RModel & model)
inlineoverridevirtual

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

Definition at line 46 of file ROperator_Custom.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()

template<typename T>
std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator_Custom< T >::ShapeInference ( std::vector< std::vector< size_t > > )
inlineoverridevirtual

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

Definition at line 43 of file ROperator_Custom.hxx.

◆ TypeInference()

template<typename T>
std::vector< ETensorType > TMVA::Experimental::SOFIE::ROperator_Custom< T >::TypeInference ( std::vector< ETensorType > )
inlineoverridevirtual

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

Definition at line 44 of file ROperator_Custom.hxx.

Member Data Documentation

◆ fHeaderName

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Custom< T >::fHeaderName
private

Definition at line 24 of file ROperator_Custom.hxx.

◆ fInputNames

template<typename T>
std::vector<std::string> TMVA::Experimental::SOFIE::ROperator_Custom< T >::fInputNames
private

Definition at line 20 of file ROperator_Custom.hxx.

◆ fInputSizes

template<typename T>
std::vector<std::size_t> TMVA::Experimental::SOFIE::ROperator_Custom< T >::fInputSizes
private

Definition at line 23 of file ROperator_Custom.hxx.

◆ fInputTensorNames

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

Definition at line 50 of file ROperator.hxx.

◆ fInputType

template<typename T>
ETensorType TMVA::Experimental::SOFIE::ROperator_Custom< T >::fInputType
private

Definition at line 25 of file ROperator_Custom.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.

◆ fOpName

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Custom< T >::fOpName
private

Definition at line 19 of file ROperator_Custom.hxx.

◆ fOutputNames

template<typename T>
std::vector<std::string> TMVA::Experimental::SOFIE::ROperator_Custom< T >::fOutputNames
private

Definition at line 21 of file ROperator_Custom.hxx.

◆ fOutputShapes

template<typename T>
std::vector<std::vector<std::size_t> > TMVA::Experimental::SOFIE::ROperator_Custom< T >::fOutputShapes
private

Definition at line 22 of file ROperator_Custom.hxx.

◆ fOutputTensorNames

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

Definition at line 51 of file ROperator.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: