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| std::vector< std::string_view > | fInputTensorNames |
| bool | fIsOutputConstant = false |
| | flag to identify if operator has a constant output (no need to generate code)
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| bool | fIsOutputParamShape = false |
| | flag to identify of the output represents a parametric shape (can be knwon at compile time)
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| std::vector< std::string_view > | fOutputTensorNames |
| bool | fUseSession = false |
| | flag to identify if using the session class
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| const std::string | SP = " " |
| | space used to correctly indent the generated C++ code
|
#include <TMVA/ROperator_ScatterElements.hxx>
◆ ROperator_ScatterElements() [1/2]
| TMVA::Experimental::SOFIE::ROperator_ScatterElements::ROperator_ScatterElements |
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| ) |
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inline |
◆ ROperator_ScatterElements() [2/2]
| TMVA::Experimental::SOFIE::ROperator_ScatterElements::ROperator_ScatterElements |
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const std::string & | nameX, |
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const std::string & | nameI, |
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const std::string & | nameU, |
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const std::string & | nameY, |
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int | axis, |
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std::string | reduction ) |
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inline |
◆ Generate()
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::Generate |
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std::string | opName | ) |
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inlineoverridevirtual |
◆ GenerateDeclCode()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateDeclCode |
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| ) |
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inlinevirtualinherited |
◆ GenerateInitCode()
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::GenerateInitCode |
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| ) |
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inlineoverridevirtual |
◆ GenerateSessionMembersCode()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateSessionMembersCode |
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std::string | | ) |
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inlinevirtualinherited |
◆ GetBlasRoutines()
| virtual std::vector< std::string > TMVA::Experimental::SOFIE::ROperator::GetBlasRoutines |
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| ) |
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inlinevirtualinherited |
◆ GetOpInputTensors()
| std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpInputTensors |
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const |
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inlineinherited |
◆ GetOpOutputTensors()
| std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpOutputTensors |
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| ) |
const |
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inlineinherited |
◆ GetStdLibs()
| virtual std::vector< std::string > TMVA::Experimental::SOFIE::ROperator::GetStdLibs |
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| ) |
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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 |
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| ) |
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inlinevirtualinherited |
◆ Initialize()
| void TMVA::Experimental::SOFIE::ROperator_ScatterElements::Initialize |
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RModel & | model | ) |
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inlineoverridevirtual |
◆ IsOutputConstant()
| bool TMVA::Experimental::SOFIE::ROperator::IsOutputConstant |
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| ) |
const |
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inlineinherited |
check if the output of the operator is Constant and is evaluated at initialization time
Definition at line 37 of file ROperator.hxx.
◆ ReductionFunction()
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::ReductionFunction |
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const std::string & | t1, |
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const std::string & | t2 ) |
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inlineprivate |
◆ ShapeInference()
| virtual std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator::ShapeInference |
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std::vector< std::vector< size_t > > | | ) |
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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 |
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std::vector< ETensorType > | | ) |
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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.
◆ fAxis
| int64_t TMVA::Experimental::SOFIE::ROperator_ScatterElements::fAxis |
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private |
◆ fInputTensorNames
| std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fInputTensorNames |
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mutableprotectedinherited |
◆ fIsOutputConstant
| bool TMVA::Experimental::SOFIE::ROperator::fIsOutputConstant = false |
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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 |
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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.
◆ fNI
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::fNI |
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private |
◆ fNU
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::fNU |
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private |
◆ fNX
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::fNX |
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private |
◆ fNY
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::fNY |
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private |
◆ fOutputTensorNames
| std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fOutputTensorNames |
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mutableprotectedinherited |
◆ fReduction
| std::string TMVA::Experimental::SOFIE::ROperator_ScatterElements::fReduction |
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private |
◆ fShapeI
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_ScatterElements::fShapeI |
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private |
◆ fShapeX
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_ScatterElements::fShapeX |
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private |
◆ fShapeY
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_ScatterElements::fShapeY |
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private |
◆ fUseSession
| bool TMVA::Experimental::SOFIE::ROperator::fUseSession = false |
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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 = " " |
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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: