Logo ROOT  
Reference Guide
Loading...
Searching...
No Matches
TMVA::Experimental::SOFIE::ROperator_Clip< T > Class Template Referencefinal

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

Definition at line 38 of file ROperator_Clip.hxx.

Public Member Functions

 ROperator_Clip ()
 ROperator_Clip (std::string nameX, std::string nameY, std::string nameMin="", std::string nameMax="")
 ROperator_Clip (std::string nameX, std::string nameY, T minVal, T maxVal)
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
virtual std::vector< std::vector< size_t > > ShapeInference (std::vector< std::vector< size_t > >)
virtual std::vector< ETensorTypeTypeInference (std::vector< ETensorType >)

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 Member Functions

std::string ToStringHighPrec (T val) const

Private Attributes

std::vector< DimfDimShape
bool fHasMax = false
bool fHasMin = false
bool fIsDynamic = false
fMax = std::numeric_limits<T>::max()
bool fMaxIsConstant = false
fMin = std::numeric_limits<T>::lowest()
bool fMinIsConstant = false
std::string fNMax
std::string fNMin
std::string fNX
std::string fNY
std::vector< size_t > fShape

#include <TMVA/ROperator_Clip.hxx>

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

Constructor & Destructor Documentation

◆ ROperator_Clip() [1/3]

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

Definition at line 71 of file ROperator_Clip.hxx.

◆ ROperator_Clip() [2/3]

template<typename T>
TMVA::Experimental::SOFIE::ROperator_Clip< T >::ROperator_Clip ( std::string nameX,
std::string nameY,
std::string nameMin = "",
std::string nameMax = "" )
inline

Definition at line 75 of file ROperator_Clip.hxx.

◆ ROperator_Clip() [3/3]

template<typename T>
TMVA::Experimental::SOFIE::ROperator_Clip< T >::ROperator_Clip ( std::string nameX,
std::string nameY,
T minVal,
T maxVal )
inline

Definition at line 91 of file ROperator_Clip.hxx.

Member Function Documentation

◆ Generate()

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

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

Definition at line 174 of file ROperator_Clip.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()

◆ GenerateSessionMembersCode()

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

◆ GetBlasRoutines()

◆ 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()

◆ 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_Clip< T >::Initialize ( RModel & model)
inlineoverridevirtual

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

Definition at line 107 of file ROperator_Clip.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()

virtual std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator::ShapeInference ( std::vector< std::vector< size_t > > )
inlinevirtualinherited

Reimplemented in 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_BatchNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Cast, TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >, TMVA::Experimental::SOFIE::ROperator_Concat, TMVA::Experimental::SOFIE::ROperator_Constant< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Custom< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Elu< T >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_EyeLike, TMVA::Experimental::SOFIE::ROperator_Gather, TMVA::Experimental::SOFIE::ROperator_Gemm< T >, TMVA::Experimental::SOFIE::ROperator_GRU< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_If, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_LeakyRelu< T >, TMVA::Experimental::SOFIE::ROperator_LSTM< T >, TMVA::Experimental::SOFIE::ROperator_Pad< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Relu< T >, TMVA::Experimental::SOFIE::ROperator_Reshape, TMVA::Experimental::SOFIE::ROperator_RNN< T >, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Split, TMVA::Experimental::SOFIE::ROperator_Swish< T >, TMVA::Experimental::SOFIE::ROperator_Tanh< T >, TMVA::Experimental::SOFIE::ROperator_Transpose, and TMVA::Experimental::SOFIE::ROperator_Where< T >.

Definition at line 24 of file ROperator.hxx.

◆ ToStringHighPrec()

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Clip< T >::ToStringHighPrec ( T val) const
inlineprivate

Definition at line 237 of file ROperator_Clip.hxx.

◆ TypeInference()

virtual std::vector< ETensorType > TMVA::Experimental::SOFIE::ROperator::TypeInference ( std::vector< ETensorType > )
inlinevirtualinherited

Reimplemented in 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_BatchNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Cast, TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >, TMVA::Experimental::SOFIE::ROperator_Concat, TMVA::Experimental::SOFIE::ROperator_Constant< T >, TMVA::Experimental::SOFIE::ROperator_Conv< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Custom< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Elu< T >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_EyeLike, TMVA::Experimental::SOFIE::ROperator_Gather, TMVA::Experimental::SOFIE::ROperator_Gemm< T >, TMVA::Experimental::SOFIE::ROperator_GRU< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_If, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_LeakyRelu< T >, TMVA::Experimental::SOFIE::ROperator_LSTM< T >, TMVA::Experimental::SOFIE::ROperator_Pad< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Relu< T >, TMVA::Experimental::SOFIE::ROperator_Reshape, TMVA::Experimental::SOFIE::ROperator_RNN< T >, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Split, TMVA::Experimental::SOFIE::ROperator_Swish< T >, TMVA::Experimental::SOFIE::ROperator_Tanh< T >, TMVA::Experimental::SOFIE::ROperator_Tile< T >, TMVA::Experimental::SOFIE::ROperator_TopK< T >, TMVA::Experimental::SOFIE::ROperator_Transpose, and TMVA::Experimental::SOFIE::ROperator_Where< T >.

Definition at line 25 of file ROperator.hxx.

Member Data Documentation

◆ fDimShape

template<typename T>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Clip< T >::fDimShape
private

Definition at line 52 of file ROperator_Clip.hxx.

◆ fHasMax

template<typename T>
bool TMVA::Experimental::SOFIE::ROperator_Clip< T >::fHasMax = false
private

Definition at line 65 of file ROperator_Clip.hxx.

◆ fHasMin

template<typename T>
bool TMVA::Experimental::SOFIE::ROperator_Clip< T >::fHasMin = false
private

Definition at line 64 of file ROperator_Clip.hxx.

◆ fInputTensorNames

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

Definition at line 50 of file ROperator.hxx.

◆ fIsDynamic

template<typename T>
bool TMVA::Experimental::SOFIE::ROperator_Clip< T >::fIsDynamic = false
private

Definition at line 53 of file ROperator_Clip.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.

◆ fMax

template<typename T>
T TMVA::Experimental::SOFIE::ROperator_Clip< T >::fMax = std::numeric_limits<T>::max()
private

Definition at line 58 of file ROperator_Clip.hxx.

◆ fMaxIsConstant

template<typename T>
bool TMVA::Experimental::SOFIE::ROperator_Clip< T >::fMaxIsConstant = false
private

Definition at line 67 of file ROperator_Clip.hxx.

◆ fMin

template<typename T>
T TMVA::Experimental::SOFIE::ROperator_Clip< T >::fMin = std::numeric_limits<T>::lowest()
private

Definition at line 57 of file ROperator_Clip.hxx.

◆ fMinIsConstant

template<typename T>
bool TMVA::Experimental::SOFIE::ROperator_Clip< T >::fMinIsConstant = false
private

Definition at line 66 of file ROperator_Clip.hxx.

◆ fNMax

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Clip< T >::fNMax
private

Definition at line 45 of file ROperator_Clip.hxx.

◆ fNMin

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Clip< T >::fNMin
private

Definition at line 44 of file ROperator_Clip.hxx.

◆ fNX

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Clip< T >::fNX
private

Definition at line 42 of file ROperator_Clip.hxx.

◆ fNY

template<typename T>
std::string TMVA::Experimental::SOFIE::ROperator_Clip< T >::fNY
private

Definition at line 43 of file ROperator_Clip.hxx.

◆ fOutputTensorNames

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

Definition at line 51 of file ROperator.hxx.

◆ fShape

template<typename T>
std::vector<size_t> TMVA::Experimental::SOFIE::ROperator_Clip< T >::fShape
private

Definition at line 49 of file ROperator_Clip.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: