| Geant4 Cross Reference |
1 // 1
2 // *******************************************
3 // * License and Disclaimer
4 // *
5 // * The Geant4 software is copyright of th
6 // * the Geant4 Collaboration. It is provided
7 // * conditions of the Geant4 Software License
8 // * LICENSE and available at http://cern.ch/
9 // * include a list of copyright holders.
10 // *
11 // * Neither the authors of this software syst
12 // * institutes,nor the agencies providing fin
13 // * work make any representation or warran
14 // * regarding this software system or assum
15 // * use. Please see the license in the file
16 // * for the full disclaimer and the limitatio
17 // *
18 // * This code implementation is the result
19 // * technical work of the GEANT4 collaboratio
20 // * By using, copying, modifying or distri
21 // * any work based on the software) you ag
22 // * use in resulting scientific publicati
23 // * acceptance of all terms of the Geant4 Sof
24 // *******************************************
25 //
26 #ifdef USE_INFERENCE_LWTNN
27 # include "Par04LwtnnInference.hh"
28
29 # include "Par04InferenceInterface.hh" // fo
30
31 # include <fstream> // for ifstream
32
33 # include <lwtnn/parse_json.hh> // for parse
34
35 //....oooOO0OOooo........oooOO0OOooo........oo
36
37 Par04LwtnnInference::Par04LwtnnInference(G4Str
38 {
39 // file to read
40 std::ifstream input(modelPath);
41 // build the graph
42 fGraph = std::make_unique<lwt::LightweightGr
43 input.close();
44 }
45
46 //....oooOO0OOooo........oooOO0OOooo........oo
47
48 void Par04LwtnnInference::RunInference(std::ve
49 std::ve
50 {
51 // generation vector
52 fNetworkInputs inputs;
53 for (std::size_t i = 0; i < aGenVector.size(
54 inputs["node_0"]["variable_" + std::to_str
55 }
56
57 // run the inference
58 fNetworkOutputs outputs = fGraph->compute(in
59 aEnergies.assign(aSize, 0);
60 for (int i = 0; i < aSize; i++)
61 aEnergies[i] = outputs["out_" + std::to_st
62 }
63
64 #endif
65