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TMVA::Experimental::SOFIE::ROperator_Reduce< Op > Class Template Referencefinal

template<EReduceOpMode Op>
class TMVA::Experimental::SOFIE::ROperator_Reduce< Op >

Definition at line 22 of file ROperator_Reduce.hxx.

Public Member Functions

 ROperator_Reduce ()
 ROperator_Reduce (int keepdims, std::vector< int64_t > attrAxes, std::string nameX, std::string nameAxes, std::string nameY)
std::vector< Dim > DoShapeInference (const std::vector< Dim > &input)
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::string Name ()
virtual std::vector< std::vector< size_t > > ShapeInference (std::vector< std::vector< size_t > >)
virtual std::vector< ETensorType > TypeInference (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 Attributes

std::vector< int64_t > fAttrAxes
bool fInputDimShape = false
int fkeepdims = 1
std::string fNAxes
std::string fNX
std::string fNY
EReduceOpMode fReduceOpMode
std::vector< Dim > fShapeX
std::vector< Dim > fShapeY
std::vector< Dim > fShapeYNotPruned

#include <TMVA/ROperator_Reduce.hxx>

Inheritance diagram for TMVA::Experimental::SOFIE::ROperator_Reduce< Op >:
TMVA::Experimental::SOFIE::ROperator

Constructor & Destructor Documentation

◆ ROperator_Reduce() [1/2]

template<EReduceOpMode Op>
TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::ROperator_Reduce ( )
inline

Definition at line 48 of file ROperator_Reduce.hxx.

◆ ROperator_Reduce() [2/2]

template<EReduceOpMode Op>
TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::ROperator_Reduce ( int keepdims,
std::vector< int64_t > attrAxes,
std::string nameX,
std::string nameAxes,
std::string nameY )
inline

Definition at line 49 of file ROperator_Reduce.hxx.

Member Function Documentation

◆ DoShapeInference()

template<EReduceOpMode Op>
std::vector< Dim > TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::DoShapeInference ( const std::vector< Dim > & input)
inline

Definition at line 62 of file ROperator_Reduce.hxx.

◆ Generate()

template<EReduceOpMode Op>
std::string TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::Generate ( std::string opName)
inlineoverridevirtual

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

Definition at line 121 of file ROperator_Reduce.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<EReduceOpMode Op>
void TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::Initialize ( RModel & model)
inlineoverridevirtual

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

Definition at line 88 of file ROperator_Reduce.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.

◆ Name()

template<EReduceOpMode Op>
std::string TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::Name ( )
inline

Definition at line 40 of file ROperator_Reduce.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.

◆ 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

◆ fAttrAxes

template<EReduceOpMode Op>
std::vector<int64_t> TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fAttrAxes
private

Definition at line 28 of file ROperator_Reduce.hxx.

◆ fInputDimShape

template<EReduceOpMode Op>
bool TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fInputDimShape = false
private

Definition at line 26 of file ROperator_Reduce.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.

◆ fkeepdims

template<EReduceOpMode Op>
int TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fkeepdims = 1
private

Definition at line 27 of file ROperator_Reduce.hxx.

◆ fNAxes

template<EReduceOpMode Op>
std::string TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fNAxes
private

Definition at line 31 of file ROperator_Reduce.hxx.

◆ fNX

template<EReduceOpMode Op>
std::string TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fNX
private

Definition at line 30 of file ROperator_Reduce.hxx.

◆ fNY

template<EReduceOpMode Op>
std::string TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fNY
private

Definition at line 32 of file ROperator_Reduce.hxx.

◆ fOutputTensorNames

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

Definition at line 51 of file ROperator.hxx.

◆ fReduceOpMode

template<EReduceOpMode Op>
EReduceOpMode TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fReduceOpMode
private

Definition at line 29 of file ROperator_Reduce.hxx.

◆ fShapeX

template<EReduceOpMode Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fShapeX
private

Definition at line 33 of file ROperator_Reduce.hxx.

◆ fShapeY

template<EReduceOpMode Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fShapeY
private

Definition at line 34 of file ROperator_Reduce.hxx.

◆ fShapeYNotPruned

template<EReduceOpMode Op>
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reduce< Op >::fShapeYNotPruned
private

Definition at line 35 of file ROperator_Reduce.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: