Par04LwtnnInference.hh

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#ifdef USE_INFERENCE_LWTNN
#ifndef PAR04LWTNNINFERENCE_HH
#define PAR04LWTNNINFERENCE_HH
 
#include <G4String.hh>                 // for G4String
#include <G4Types.hh>                  // for G4double
#include <map>                         // for map, map<>::value_compare
#include <memory>                      // for unique_ptr
#include <string>                      // for string, basic_string, operator<
#include <vector>                      // for vector
#include "Par04InferenceInterface.hh"  // for Par04InferenceInterface
#include "lwtnn/LightweightGraph.hh"   // for LightweightGraph
 
/**
 * @brief Inference using the LWTNN library.
 *
 * Initializes a computation object or a light weight graph using the ML model saved
 * as a JSON file.
 * Runs the inference by evaluating the graph on the input vector from Par04InferenceSetup.
 *
 **/
 
class Par04LwtnnInference : public Par04InferenceInterface
{
 public:
  Par04LwtnnInference(G4String);
  Par04LwtnnInference();
 
  /// Run inference
  /// @param[in] aGenVector Input latent space and conditions
  /// @param[out] aEnergies Model output = generated shower energies
  /// @param[in] aSize Size of the output
  void RunInference(std::vector<float> aGenVector, std::vector<G4double>& aEnergies, int aSize);
 
 private:
  /// LWTNN graph , Network input and output vectors
  std::unique_ptr<lwt::LightweightGraph> fGraph;
  typedef std::map<std::string, std::map<std::string, double>> fNetworkInputs;
  typedef std::map<std::string, double> fNetworkOutputs;
};
 
#endif /* PAR04LWTNNINFERENCE_HH */
#endif