DeepTauBase.h

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#ifndef RecoTauTag_RecoTau_DeepTauBase_h
#define RecoTauTag_RecoTau_DeepTauBase_h
 
/*
 * \class DeepTauBase
 *
 * Definition of the base class for tau identification using Deep NN.
 *
 * \author Konstantin Androsov, INFN Pisa
 * \author Maria Rosaria Di Domenico, University of Siena & INFN Pisa
 */
 
#include <Math/VectorUtil.h>
#include "FWCore/Framework/interface/stream/EDProducer.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "PhysicsTools/TensorFlow/interface/TensorFlow.h"
#include "tensorflow/core/util/memmapped_file_system.h"
#include "DataFormats/PatCandidates/interface/Electron.h"
#include "DataFormats/PatCandidates/interface/Muon.h"
#include "DataFormats/PatCandidates/interface/Tau.h"
#include "DataFormats/TauReco/interface/TauDiscriminatorContainer.h"
#include "DataFormats/TauReco/interface/PFTauDiscriminator.h"
#include "DataFormats/PatCandidates/interface/PATTauDiscriminator.h"
#include "CommonTools/Utils/interface/StringObjectFunction.h"
#include "RecoTauTag/RecoTau/interface/PFRecoTauClusterVariables.h"
#include "FWCore/ParameterSet/interface/ConfigurationDescriptions.h"
#include "FWCore/ParameterSet/interface/ParameterSetDescription.h"
#include "DataFormats/Common/interface/View.h"
#include "DataFormats/Common/interface/RefToBase.h"
#include "DataFormats/Provenance/interface/ProductProvenance.h"
#include "DataFormats/Provenance/interface/ProcessHistoryID.h"
#include "FWCore/Common/interface/Provenance.h"
#include <TF1.h>
#include <map>
 
namespace deep_tau {
 
  class TauWPThreshold {
  public:
    explicit TauWPThreshold(const std::string& cut_str);
    double operator()(const reco::BaseTau& tau, bool isPFTau) const;
 
  private:
    std::unique_ptr<TF1> fn_;
    double value_;
  };
 
  class DeepTauCache {
  public:
    using GraphPtr = std::shared_ptr<tensorflow::GraphDef>;
 
    DeepTauCache(const std::map<std::string, std::string>& graph_names, bool mem_mapped);
    ~DeepTauCache();
 
    // A Session allows concurrent calls to Run(), though a Session must
    // be created / extended by a single thread.
    tensorflow::Session& getSession(const std::string& name = "") const { return *sessions_.at(name); }
    const tensorflow::GraphDef& getGraph(const std::string& name = "") const { return *graphs_.at(name); }
 
  private:
    std::map<std::string, GraphPtr> graphs_;
    std::map<std::string, tensorflow::Session*> sessions_;
    std::map<std::string, std::unique_ptr<tensorflow::MemmappedEnv>> memmappedEnv_;
  };
 
  class DeepTauBase : public edm::stream::EDProducer<edm::GlobalCache<DeepTauCache>> {
  public:
    using TauDiscriminator = reco::TauDiscriminatorContainer;
    using TauCollection = edm::View<reco::BaseTau>;
    using CandidateCollection = edm::View<reco::Candidate>;
    using TauRef = edm::Ref<TauCollection>;
    using TauRefProd = edm::RefProd<TauCollection>;
    using ElectronCollection = pat::ElectronCollection;
    using MuonCollection = pat::MuonCollection;
    using LorentzVectorXYZ = ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<double>>;
    using Cutter = TauWPThreshold;
    using CutterPtr = std::unique_ptr<Cutter>;
    using WPList = std::vector<CutterPtr>;
 
    struct Output {
      std::vector<size_t> num_, den_;
 
      Output(const std::vector<size_t>& num, const std::vector<size_t>& den) : num_(num), den_(den) {}
 
      std::unique_ptr<TauDiscriminator> get_value(const edm::Handle<TauCollection>& taus,
                                                  const tensorflow::Tensor& pred,
                                                  const WPList* working_points,
                                                  bool is_online) const;
    };
 
    using OutputCollection = std::map<std::string, Output>;
 
    DeepTauBase(const edm::ParameterSet& cfg, const OutputCollection& outputs, const DeepTauCache* cache);
    ~DeepTauBase() override {}
 
    void produce(edm::Event& event, const edm::EventSetup& es) override;
 
    static std::unique_ptr<DeepTauCache> initializeGlobalCache(const edm::ParameterSet& cfg);
    static void globalEndJob(const DeepTauCache* cache) {}
 
    template <typename ConsumeType>
    struct TauDiscInfo {
      edm::InputTag label;
      edm::Handle<ConsumeType> handle;
      edm::EDGetTokenT<ConsumeType> disc_token;
      double cut;
      void fill(const edm::Event& evt) { evt.getByToken(disc_token, handle); }
    };
 
    // select boolean operation on prediscriminants (and = 0x01, or = 0x00)
    uint8_t andPrediscriminants_;
    std::vector<TauDiscInfo<pat::PATTauDiscriminator>> patPrediscriminants_;
    std::vector<TauDiscInfo<reco::PFTauDiscriminator>> recoPrediscriminants_;
 
    enum BasicDiscriminator {
      ChargedIsoPtSum,
      NeutralIsoPtSum,
      NeutralIsoPtSumWeight,
      FootprintCorrection,
      PhotonPtSumOutsideSignalCone,
      PUcorrPtSum
    };
 
  private:
    virtual tensorflow::Tensor getPredictions(edm::Event& event, edm::Handle<TauCollection> taus) = 0;
    virtual void createOutputs(edm::Event& event, const tensorflow::Tensor& pred, edm::Handle<TauCollection> taus);
 
  protected:
    edm::EDGetTokenT<TauCollection> tausToken_;
    edm::EDGetTokenT<CandidateCollection> pfcandToken_;
    edm::EDGetTokenT<reco::VertexCollection> vtxToken_;
    std::map<std::string, WPList> workingPoints_;
    const bool is_online_;
    OutputCollection outputs_;
    const DeepTauCache* cache_;
 
    static const std::map<BasicDiscriminator, std::string> stringFromDiscriminator_;
    static const std::vector<BasicDiscriminator> requiredBasicDiscriminators_;
    static const std::vector<BasicDiscriminator> requiredBasicDiscriminatorsdR03_;
  };
 
}  // namespace deep_tau
 
#endif