Definition at line 18 of file RFunction_MLP.hxx.
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| | RFunction_MLP (FunctionTarget target, Int_t numLayers, Activation activation_function=Activation::RELU, bool activate_final=false, GraphType gType=GraphType::GNN) |
| virtual | ~RFunction_MLP () |
| void | AddInitializedTensors (const std::vector< std::vector< std::string > > &initialized_tensors) override |
| void | AddInputTensors (const std::vector< std::vector< Dim > > &inputShapes) |
| void | AddInputTensors (const std::vector< std::vector< std::size_t > > &inputShapes) |
| void | AddLayerNormalization (int axis, float epsilon, size_t stashType, const std::string &nameX, const std::string &nameScale, const std::string &nameB, const std::string &nameY) override |
| std::string | Generate (const std::vector< std::string > &inputPtrs) |
| std::string | GenerateModel (const std::string &filename, long read_pos=0, long block_size=-1, bool verbose=false) |
| std::shared_ptr< RModel > | GetFunctionBlock () |
| FunctionTarget | GetFunctionTarget () |
| FunctionType | GetFunctionType () |
| void | Initialize () override |
#include <TMVA/RFunction_MLP.hxx>
◆ ~RFunction_MLP()
| virtual TMVA::Experimental::SOFIE::RFunction_MLP::~RFunction_MLP |
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inlinevirtual |
◆ RFunction_MLP()
◆ AddInitializedTensors()
| void TMVA::Experimental::SOFIE::RFunction_MLP::AddInitializedTensors |
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const std::vector< std::vector< std::string > > & | initialized_tensors | ) |
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inlineoverridevirtual |
◆ AddInputTensors() [1/2]
| void TMVA::Experimental::SOFIE::RFunction_Update::AddInputTensors |
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const std::vector< std::vector< Dim > > & | inputShapes | ) |
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inherited |
◆ AddInputTensors() [2/2]
| void TMVA::Experimental::SOFIE::RFunction_Update::AddInputTensors |
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const std::vector< std::vector< std::size_t > > & | inputShapes | ) |
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inherited |
◆ AddLayerNormalization()
| void TMVA::Experimental::SOFIE::RFunction_MLP::AddLayerNormalization |
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int | axis, |
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float | epsilon, |
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size_t | stashType, |
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const std::string & | nameX, |
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const std::string & | nameScale, |
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const std::string & | nameB, |
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const std::string & | nameY ) |
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overridevirtual |
◆ Generate()
| std::string TMVA::Experimental::SOFIE::RFunction_Update::Generate |
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const std::vector< std::string > & | inputPtrs | ) |
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inherited |
◆ GenerateModel()
| std::string TMVA::Experimental::SOFIE::RFunction_Update::GenerateModel |
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const std::string & | filename, |
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long | read_pos = 0, |
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long | block_size = -1, |
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bool | verbose = false ) |
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◆ GetFunctionBlock()
| std::shared_ptr< RModel > TMVA::Experimental::SOFIE::RFunction_Update::GetFunctionBlock |
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inlineinherited |
◆ GetFunctionTarget()
| FunctionTarget TMVA::Experimental::SOFIE::RFunction_Update::GetFunctionTarget |
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inlineinherited |
◆ GetFunctionType()
| FunctionType TMVA::Experimental::SOFIE::RFunction::GetFunctionType |
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inlineinherited |
◆ Initialize()
| void TMVA::Experimental::SOFIE::RFunction_MLP::Initialize |
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overridevirtual |
◆ fActivateFinal
| bool TMVA::Experimental::SOFIE::RFunction_MLP::fActivateFinal |
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private |
◆ fActivationFunction
| Activation TMVA::Experimental::SOFIE::RFunction_MLP::fActivationFunction |
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private |
◆ fAddlOp
| std::vector<ROperator*> TMVA::Experimental::SOFIE::RFunction_Update::fAddlOp |
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◆ fBiasTensors
| std::vector<std::string> TMVA::Experimental::SOFIE::RFunction_MLP::fBiasTensors |
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◆ fFuncName
| std::string TMVA::Experimental::SOFIE::RFunction::fFuncName |
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◆ fFunction_block
| std::shared_ptr<RModel> TMVA::Experimental::SOFIE::RFunction_Update::fFunction_block |
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protectedinherited |
◆ fGraphType
| GraphType TMVA::Experimental::SOFIE::RFunction_Update::fGraphType |
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protectedinherited |
◆ fInputTensors
| std::vector<std::string> TMVA::Experimental::SOFIE::RFunction_Update::fInputTensors |
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protectedinherited |
◆ fKernelTensors
| std::vector<std::string> TMVA::Experimental::SOFIE::RFunction_MLP::fKernelTensors |
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private |
◆ fNumLayers
| Int_t TMVA::Experimental::SOFIE::RFunction_MLP::fNumLayers |
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◆ fTarget
◆ fType
The documentation for this class was generated from the following files: