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TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op > Class Template Referencefinal

template<typename T, EComparisionOperator Op>
class TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >

Definition at line 56 of file ROperator_Comparision.hxx.

Public Member Functions

 ROperator_Comparision ()
 ROperator_Comparision (const std::string &nameX1, const std::string &nameX2, const std::string &nameY)
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 > > input) override
std::vector< ETensorType > TypeInference (std::vector< ETensorType > input) 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

int fBroadcastFlag = 0
std::vector< Dim > fDimShapeX1
std::vector< Dim > fDimShapeX2
std::vector< Dim > fDimShapeY
std::string fNX1
std::string fNX2
std::string fNY
std::vector< size_t > fShapeX1
std::vector< size_t > fShapeX2
std::vector< size_t > fShapeY
ETensorType fTensorType1 = ETensorType::UNDEFINED
ETensorType fTensorType2 = ETensorType::UNDEFINED

#include <TMVA/ROperator_Comparision.hxx>

Inheritance diagram for TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >:
TMVA::Experimental::SOFIE::ROperator

Constructor & Destructor Documentation

◆ ROperator_Comparision() [1/2]

template<typename T, EComparisionOperator Op>
TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::ROperator_Comparision ( )
inline

Definition at line 74 of file ROperator_Comparision.hxx.

◆ ROperator_Comparision() [2/2]

template<typename T, EComparisionOperator Op>
TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::ROperator_Comparision ( const std::string & nameX1,
const std::string & nameX2,
const std::string & nameY )
inline

Definition at line 75 of file ROperator_Comparision.hxx.

Member Function Documentation

◆ Generate()

template<typename T, EComparisionOperator Op>
std::string TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::Generate ( std::string opName)
inlineoverridevirtual

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

Definition at line 287 of file ROperator_Comparision.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, EComparisionOperator Op>
void TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::Initialize ( RModel & model)
inlineoverridevirtual

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

Definition at line 94 of file ROperator_Comparision.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, EComparisionOperator Op>
std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::ShapeInference ( std::vector< std::vector< size_t > > input)
inlineoverridevirtual

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

Definition at line 89 of file ROperator_Comparision.hxx.

◆ TypeInference()

template<typename T, EComparisionOperator Op>
std::vector< ETensorType > TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::TypeInference ( std::vector< ETensorType > input)
inlineoverridevirtual

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

Definition at line 84 of file ROperator_Comparision.hxx.

Member Data Documentation

◆ fBroadcastFlag

template<typename T, EComparisionOperator Op>
int TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fBroadcastFlag = 0
private

Definition at line 70 of file ROperator_Comparision.hxx.

◆ fDimShapeX1

template<typename T, EComparisionOperator Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fDimShapeX1
private

Definition at line 64 of file ROperator_Comparision.hxx.

◆ fDimShapeX2

template<typename T, EComparisionOperator Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fDimShapeX2
private

Definition at line 65 of file ROperator_Comparision.hxx.

◆ fDimShapeY

template<typename T, EComparisionOperator Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fDimShapeY
private

Definition at line 67 of file ROperator_Comparision.hxx.

◆ 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.

◆ fNX1

template<typename T, EComparisionOperator Op>
std::string TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fNX1
private

Definition at line 59 of file ROperator_Comparision.hxx.

◆ fNX2

template<typename T, EComparisionOperator Op>
std::string TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fNX2
private

Definition at line 60 of file ROperator_Comparision.hxx.

◆ fNY

template<typename T, EComparisionOperator Op>
std::string TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fNY
private

Definition at line 61 of file ROperator_Comparision.hxx.

◆ fOutputTensorNames

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

Definition at line 51 of file ROperator.hxx.

◆ fShapeX1

template<typename T, EComparisionOperator Op>
std::vector<size_t> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fShapeX1
private

Definition at line 62 of file ROperator_Comparision.hxx.

◆ fShapeX2

template<typename T, EComparisionOperator Op>
std::vector<size_t> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fShapeX2
private

Definition at line 63 of file ROperator_Comparision.hxx.

◆ fShapeY

template<typename T, EComparisionOperator Op>
std::vector<size_t> TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fShapeY
private

Definition at line 66 of file ROperator_Comparision.hxx.

◆ fTensorType1

template<typename T, EComparisionOperator Op>
ETensorType TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fTensorType1 = ETensorType::UNDEFINED
private

Definition at line 68 of file ROperator_Comparision.hxx.

◆ fTensorType2

template<typename T, EComparisionOperator Op>
ETensorType TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >::fTensorType2 = ETensorType::UNDEFINED
private

Definition at line 69 of file ROperator_Comparision.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: