Definition at line 19 of file ROperator_Concat.hxx.
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bool | fIsOutputConstant = false |
| flag to identify if operator has a constant output (no need to generate code)
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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
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#include <TMVA/ROperator_Concat.hxx>
◆ ROperator_Concat() [1/2]
TMVA::Experimental::SOFIE::ROperator_Concat::ROperator_Concat |
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inline |
◆ ROperator_Concat() [2/2]
TMVA::Experimental::SOFIE::ROperator_Concat::ROperator_Concat |
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std::vector< std::string > |
inputs, |
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int |
axis, |
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int |
newAxis, |
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std::string |
output |
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inline |
◆ Generate()
std::string TMVA::Experimental::SOFIE::ROperator_Concat::Generate |
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std::string |
OpName | ) |
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inlinevirtual |
◆ Initialize()
void TMVA::Experimental::SOFIE::ROperator_Concat::Initialize |
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RModel & |
model | ) |
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inlinevirtual |
◆ ShapeInference() [1/2]
std::vector< std::vector< Dim > > TMVA::Experimental::SOFIE::ROperator_Concat::ShapeInference |
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const std::vector< std::vector< Dim > > & |
inputs | ) |
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inline |
◆ ShapeInference() [2/2]
std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator_Concat::ShapeInference |
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std::vector< std::vector< size_t > > |
inputs | ) |
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inlinevirtual |
◆ TypeInference()
std::vector< ETensorType > TMVA::Experimental::SOFIE::ROperator_Concat::TypeInference |
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std::vector< ETensorType > |
input | ) |
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inlinevirtual |
◆ fAxis
int TMVA::Experimental::SOFIE::ROperator_Concat::fAxis =0 |
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◆ fInputs
std::vector<std::string> TMVA::Experimental::SOFIE::ROperator_Concat::fInputs |
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◆ fInputShapes
std::vector<std::vector<Dim> > TMVA::Experimental::SOFIE::ROperator_Concat::fInputShapes |
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private |
◆ fnewAxis
int TMVA::Experimental::SOFIE::ROperator_Concat::fnewAxis =0 |
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◆ fOutput
std::string TMVA::Experimental::SOFIE::ROperator_Concat::fOutput |
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◆ fOutputShape
std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Concat::fOutputShape |
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private |
tmva/sofie/inc/TMVA/ROperator_Concat.hxx