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Geant4/examples/extended/parameterisations/Par04/include/Par04LwtnnInference.hh

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 26 
 27 #ifdef USE_INFERENCE_LWTNN
 28 #  ifndef PAR04LWTNNINFERENCE_HH
 29 #    define PAR04LWTNNINFERENCE_HH
 30 
 31 #    include "Par04InferenceInterface.hh"  // for Par04InferenceInterface
 32 #    include "lwtnn/LightweightGraph.hh"  // for LightweightGraph
 33 
 34 #    include <G4String.hh>  // for G4String
 35 #    include <G4Types.hh>  // for G4double
 36 #    include <map>  // for map, map<>::value_compare
 37 #    include <memory>  // for unique_ptr
 38 #    include <string>  // for string, basic_string, operator<
 39 #    include <vector>  // for vector
 40 
 41 /**
 42  * @brief Inference using the LWTNN library.
 43  *
 44  * Initializes a computation object or a light weight graph using the ML model saved
 45  * as a JSON file.
 46  * Runs the inference by evaluating the graph on the input vector from Par04InferenceSetup.
 47  *
 48  **/
 49 
 50 class Par04LwtnnInference : public Par04InferenceInterface
 51 {
 52   public:
 53     Par04LwtnnInference(G4String);
 54     Par04LwtnnInference();
 55 
 56     /// Run inference
 57     /// @param[in] aGenVector Input latent space and conditions
 58     /// @param[out] aEnergies Model output = generated shower energies
 59     /// @param[in] aSize Size of the output
 60     void RunInference(std::vector<float> aGenVector, std::vector<G4double>& aEnergies, int aSize);
 61 
 62   private:
 63     /// LWTNN graph , Network input and output vectors
 64     std::unique_ptr<lwt::LightweightGraph> fGraph;
 65     typedef std::map<std::string, std::map<std::string, double>> fNetworkInputs;
 66     typedef std::map<std::string, double> fNetworkOutputs;
 67 };
 68 
 69 #  endif /* PAR04LWTNNINFERENCE_HH */
 70 #endif
 71