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Geant4/examples/extended/parameterisations/Par04/src/Par04TorchInference.cc

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Diff markup

Differences between /examples/extended/parameterisations/Par04/src/Par04TorchInference.cc (Version 11.3.0) and /examples/extended/parameterisations/Par04/src/Par04TorchInference.cc (Version 9.2.p3)


  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                                                   
 27 #ifdef USE_INFERENCE_TORCH                        
 28 #  include "Par04TorchInference.hh"               
 29                                                   
 30 #  include "Par04InferenceInterface.hh"  // fo    
 31                                                   
 32 #  include <algorithm>  // for copy, max          
 33 #  include <cassert>  // for assert               
 34 #  include <cstddef>  // for size_t               
 35 #  include <cstdint>  // for int64_t              
 36 #  include <torch/torch.h>                        
 37 #  include <utility>  // for move                 
 38                                                   
 39 //....oooOO0OOooo........oooOO0OOooo........oo    
 40                                                   
 41 Par04TorchInference::Par04TorchInference(G4Str    
 42 {                                                 
 43   fModule = torch::jit::load(modelPath);          
 44 }                                                 
 45                                                   
 46 //....oooOO0OOooo........oooOO0OOooo........oo    
 47                                                   
 48 void Par04TorchInference::RunInference(std::ve    
 49                                        std::ve    
 50 {                                                 
 51   // latentSize : size of the latent space        
 52   // 4 is the size of the condition vector        
 53   int latentSize = aGenVector.size() - 4;         
 54   // split into latent and condition vectors      
 55   std::vector<float> latent;                      
 56   for (int i = 0; i < latentSize; i++) {          
 57     latent.push_back(aGenVector[i]);              
 58   }                                               
 59   std::vector<float> energy;                      
 60   energy.push_back(aGenVector[latentSize + 1])    
 61   std::vector<float> angle;                       
 62   energy.push_back(aGenVector[latentSize + 2])    
 63   std::vector<float> geo;                         
 64   for (int i = latentSize + 2; i < latentSize     
 65     geo.push_back(aGenVector[i]);                 
 66   }                                               
 67                                                   
 68   // convert vectors to tensors                   
 69   torch::Tensor latentVector = torch::tensor(l    
 70   torch::Tensor eTensor = torch::tensor(energy    
 71   torch::Tensor angleTensor = torch::tensor(an    
 72   torch::Tensor geoTensor = torch::tensor(geo)    
 73                                                   
 74   std::vector<torch::jit::IValue> genInput;       
 75                                                   
 76   genInput.push_back(latentVector);               
 77   genInput.push_back(eTensor);                    
 78   genInput.push_back(angleTensor);                
 79   genInput.push_back(geoTensor);                  
 80                                                   
 81   at::Tensor outTensor = fModule.forward(genIn    
 82                                                   
 83   std::vector<G4double> output(outTensor.data_    
 84                                outTensor.data_    
 85                                                   
 86   aEnergies.assign(aSize, 0);                     
 87   for (int i = 0; i < aSize; i++) {               
 88     aEnergies[i] = output[i];                     
 89   }                                               
 90 }                                                 
 91                                                   
 92 #endif                                            
 93