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EmitFromKeras.cxx
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EmitFromKeras.cxx
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// Author: Sanjiban Sengupta, 2021
// Description:
// This is to test the RModelParser_Keras.
// The program is run when the target 'TestRModelParserKeras' is built.
// The program generates the required .hxx file after parsing a Keras .keras file into a RModel object.
#include "TMVA/RModel.hxx"
#include "TMVA/RModelParser_Keras.h"
#include <Python.h>
using namespace TMVA::Experimental::SOFIE;
int main(){
Py_Initialize();
//Emitting header file for Keras Sequential API Model
FILE* fKerasModels;
fKerasModels = fopen("generateKerasModels.py", "r");
PyRun_SimpleFile(fKerasModels, "generateKerasModels.py");
//Emitting header file for Keras Sequential Model
RModel modelSequential = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelSequential.keras");
modelSequential.Generate();
modelSequential.OutputGenerated("KerasSequentialModel.hxx");
//Emitting header file for Keras Functional API Model
RModel modelFunctional = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelFunctional.keras");
modelFunctional.Generate();
modelFunctional.OutputGenerated("KerasFunctionalModel.hxx");
//Emitting header file for Keras BatchNorm Model
RModel modelBatchNorm = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelBatchNorm.keras");
modelBatchNorm.Generate();
modelBatchNorm.OutputGenerated("KerasBatchNormModel.hxx");
#if PY_MAJOR_VERSION >= 3 // parsing of convolutional models supported only for Python3
// Emitting header file for Keras Conv2D Model with valid padding
RModel modelConv2D_Valid = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelConv2D_Valid.keras");
modelConv2D_Valid.Generate();
modelConv2D_Valid.OutputGenerated("KerasConv2D_Valid.hxx");
// Emitting header file for Keras Conv2D Model with valid padding
RModel modelConv2D_Same = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelConv2D_Same.keras");
modelConv2D_Same.Generate();
modelConv2D_Same.OutputGenerated("KerasConv2D_Same.hxx");
#endif
//Emitting header file for Keras model with Reshape layer
RModel modelReshape = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelReshape.keras");
modelReshape.Generate();
modelReshape.OutputGenerated("KerasReshapeModel.hxx");
//Emitting header file for Keras model with Concatenate layer
RModel modelConcatenate = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelConcatenate.keras");
modelConcatenate.Generate();
modelConcatenate.OutputGenerated("KerasConcatenateModel.hxx");
// Emitting header file for Keras Binary Op Model
RModel modelBinaryOp = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelBinaryOp.keras");
modelBinaryOp.Generate();
modelBinaryOp.OutputGenerated("KerasBinaryOpModel.hxx");
//Emitting header file for Keras activation functions model
RModel modelActivations = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelActivations.keras");
modelActivations.Generate();
modelActivations.OutputGenerated("KerasActivationsModel.hxx");
// Emitting header file for Swish activation functions model
RModel modelSwish = TMVA::Experimental::SOFIE::PyKeras::Parse("swish_model.keras");
modelSwish.Generate();
modelSwish.OutputGenerated("KerasSwish_model.hxx");
return 0;
}