tensor_fillers.h

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#ifndef RecoBTag_TensorFlow_tensor_fillers_h
#define RecoBTag_TensorFlow_tensor_fillers_h

#include "PhysicsTools/TensorFlow/interface/TensorFlow.h"
#include "DataFormats/BTauReco/interface/DeepFlavourTagInfo.h"
#include "DataFormats/BTauReco/interface/DeepDoubleXTagInfo.h"

namespace btagbtvdeep {

  // Note on setting tensor values:
  // Instead of using the more convenient tensor.matrix (etc) methods,
  // we can exploit that in the following methods values are set along
  // the innermost (= last) axis. Those values are stored contiguously in
  // the memory, so it is most performant to get the pointer to the first
  // value and use pointer arithmetic to iterate through the next pointers.

  void jet_tensor_filler(tensorflow::Tensor & tensor,
                         std::size_t jet_n,
                         const btagbtvdeep::DeepFlavourFeatures & features) ;


  void db_tensor_filler(tensorflow::Tensor & tensor,
                         std::size_t jet_n,
                         const btagbtvdeep::DeepDoubleXFeatures & features) ;
  
  
  void c_pf_tensor_filler(tensorflow::Tensor & tensor,
                          std::size_t jet_n,
                          std::size_t c_pf_n,
                          const btagbtvdeep::ChargedCandidateFeatures & c_pf_features);

  
  void c_pf_reduced_tensor_filler(tensorflow::Tensor & tensor,
                          std::size_t jet_n,
                          std::size_t c_pf_n,
                          const btagbtvdeep::ChargedCandidateFeatures & c_pf_features);


  void n_pf_tensor_filler(tensorflow::Tensor & tensor,
                          std::size_t jet_n,
                          std::size_t n_pf_n,
                          const btagbtvdeep::NeutralCandidateFeatures & n_pf_features) ;


  void sv_tensor_filler(tensorflow::Tensor & tensor,
                          std::size_t jet_n,
                          std::size_t sv_n,
                          const btagbtvdeep::SecondaryVertexFeatures & sv_features) ;

  
  void sv_reduced_tensor_filler(tensorflow::Tensor & tensor,
                          std::size_t jet_n,
                          std::size_t sv_n,
                          const btagbtvdeep::SecondaryVertexFeatures & sv_features) ;

}

#endif