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DeepMETProducer Class Reference
Inheritance diagram for DeepMETProducer:
edm::stream::EDProducer< edm::GlobalCache< DeepMETCache > >

Public Member Functions

 DeepMETProducer (const edm::ParameterSet &, const DeepMETCache *)
 
void produce (edm::Event &event, const edm::EventSetup &setup) override
 
- Public Member Functions inherited from edm::stream::EDProducer< edm::GlobalCache< DeepMETCache > >
 EDProducer ()=default
 
 EDProducer (const EDProducer &)=delete
 
bool hasAbilityToProduceInBeginLumis () const final
 
bool hasAbilityToProduceInBeginProcessBlocks () const final
 
bool hasAbilityToProduceInBeginRuns () const final
 
bool hasAbilityToProduceInEndLumis () const final
 
bool hasAbilityToProduceInEndProcessBlocks () const final
 
bool hasAbilityToProduceInEndRuns () const final
 
const EDProduceroperator= (const EDProducer &)=delete
 

Static Public Member Functions

static void fillDescriptions (edm::ConfigurationDescriptions &descriptions)
 
static void globalEndJob (DeepMETCache *)
 
static std::unique_ptr< DeepMETCacheinitializeGlobalCache (const edm::ParameterSet &)
 

Private Attributes

const bool ignore_leptons_
 
tensorflow::Tensor input_
 
tensorflow::Tensor input_cat0_
 
tensorflow::Tensor input_cat1_
 
tensorflow::Tensor input_cat2_
 
const unsigned int max_n_pf_
 
const float norm_
 
const edm::EDGetTokenT< std::vector< pat::PackedCandidate > > pf_token_
 
tensorflow::Session * session_
 

Additional Inherited Members

- Public Types inherited from edm::stream::EDProducer< edm::GlobalCache< DeepMETCache > >
using CacheTypes = CacheContexts< T... >
 
using GlobalCache = typename CacheTypes::GlobalCache
 
using HasAbility = AbilityChecker< T... >
 
using InputProcessBlockCache = typename CacheTypes::InputProcessBlockCache
 
using LuminosityBlockCache = typename CacheTypes::LuminosityBlockCache
 
using LuminosityBlockContext = LuminosityBlockContextT< LuminosityBlockCache, RunCache, GlobalCache >
 
using LuminosityBlockSummaryCache = typename CacheTypes::LuminosityBlockSummaryCache
 
using RunCache = typename CacheTypes::RunCache
 
using RunContext = RunContextT< RunCache, GlobalCache >
 
using RunSummaryCache = typename CacheTypes::RunSummaryCache
 

Detailed Description

Definition at line 18 of file DeepMETProducer.cc.

Constructor & Destructor Documentation

◆ DeepMETProducer()

DeepMETProducer::DeepMETProducer ( const edm::ParameterSet cfg,
const DeepMETCache cache 
)
explicit

Definition at line 42 of file DeepMETProducer.cc.

References input_, input_cat0_, input_cat1_, input_cat2_, and max_n_pf_.

43  : pf_token_(consumes<std::vector<pat::PackedCandidate> >(cfg.getParameter<edm::InputTag>("pf_src"))),
44  norm_(cfg.getParameter<double>("norm_factor")),
45  ignore_leptons_(cfg.getParameter<bool>("ignore_leptons")),
46  max_n_pf_(cfg.getParameter<unsigned int>("max_n_pf")),
48  produces<pat::METCollection>();
49 
50  const tensorflow::TensorShape shape({1, max_n_pf_, 8});
51  const tensorflow::TensorShape cat_shape({1, max_n_pf_, 1});
52 
53  input_ = tensorflow::Tensor(tensorflow::DT_FLOAT, shape);
54  input_cat0_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
55  input_cat1_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
56  input_cat2_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
57 }
Session * createSession(SessionOptions &sessionOptions)
Definition: TensorFlow.cc:85
const bool ignore_leptons_
tensorflow::Tensor input_cat0_
tensorflow::Tensor input_cat1_
tensorflow::Tensor input_
tensorflow::Session * session_
tensorflow::Tensor input_cat2_
def cache(function)
Definition: utilities.py:3
const unsigned int max_n_pf_
const edm::EDGetTokenT< std::vector< pat::PackedCandidate > > pf_token_
const float norm_

Member Function Documentation

◆ fillDescriptions()

void DeepMETProducer::fillDescriptions ( edm::ConfigurationDescriptions descriptions)
static

Definition at line 144 of file DeepMETProducer.cc.

References edm::ConfigurationDescriptions::add(), submitPVResolutionJobs::desc, HLT_2022v14_cff::InputTag, and AlCaHLTBitMon_QueryRunRegistry::string.

144  {
146  desc.add<edm::InputTag>("pf_src", edm::InputTag("packedPFCandidates"));
147  desc.add<bool>("ignore_leptons", false);
148  desc.add<double>("norm_factor", 50.);
149  desc.add<unsigned int>("max_n_pf", 4500);
150  desc.add<std::string>("graph_path", "RecoMET/METPUSubtraction/data/models/deepmet/deepmet_v1_2018/model.graphdef");
151  descriptions.add("deepMETProducer", desc);
152 }
void add(std::string const &label, ParameterSetDescription const &psetDescription)

◆ globalEndJob()

void DeepMETProducer::globalEndJob ( DeepMETCache cache)
static

Definition at line 142 of file DeepMETProducer.cc.

References utilities::cache().

142 { delete cache->graph_def; }
def cache(function)
Definition: utilities.py:3

◆ initializeGlobalCache()

std::unique_ptr< DeepMETCache > DeepMETProducer::initializeGlobalCache ( const edm::ParameterSet params)
static

Definition at line 128 of file DeepMETProducer.cc.

References utilities::cache(), edm::FileInPath::fullPath(), HLT_2022v14_cff::graphPath, tensorflow::loadGraphDef(), submitPVValidationJobs::params, and AlCaHLTBitMon_QueryRunRegistry::string.

128  {
129  // this method is supposed to create, initialize and return a DeepMETCache instance
130  std::unique_ptr<DeepMETCache> cache = std::make_unique<DeepMETCache>();
131 
132  // load the graph def and save it
133  std::string graphPath = params.getParameter<std::string>("graph_path");
134  if (!graphPath.empty()) {
137  }
138 
139  return cache;
140 }
std::string fullPath() const
Definition: FileInPath.cc:161
GraphDef * loadGraphDef(const std::string &pbFile)
Definition: TensorFlow.cc:68
def cache(function)
Definition: utilities.py:3

◆ produce()

void DeepMETProducer::produce ( edm::Event event,
const edm::EventSetup setup 
)
override

Definition at line 59 of file DeepMETProducer.cc.

References funct::abs(), deepmet_helper::charge_embedding, dqmMemoryStats::float, ignore_leptons_, input_, input_cat0_, input_cat1_, input_cat2_, LogDebug, max_n_pf_, eostools::move(), norm_, HLT_2022v14_cff::output_names, PatBasicFWLiteJetAnalyzer_Selector_cfg::outputs, HiggsValidation_cfi::pdg_id, deepmet_helper::pdg_id_embedding, packedPFCandidateRefMixer_cfi::pf, pf_token_, multPhiCorr_741_25nsDY_cfi::px, multPhiCorr_741_25nsDY_cfi::py, tensorflow::run(), L1EGammaClusterEmuProducer_cfi::scale, deepmet_helper::scale_and_rm_outlier(), and session_.

59  {
60  auto const& pfs = event.get(pf_token_);
61 
62  const tensorflow::NamedTensorList input_list = {
63  {"input", input_}, {"input_cat0", input_cat0_}, {"input_cat1", input_cat1_}, {"input_cat2", input_cat2_}};
64 
65  // Set all inputs to zero
66  input_.flat<float>().setZero();
67  input_cat0_.flat<float>().setZero();
68  input_cat1_.flat<float>().setZero();
69  input_cat2_.flat<float>().setZero();
70 
71  size_t i_pf = 0;
72  float px_leptons = 0.;
73  float py_leptons = 0.;
74  const float scale = 1. / norm_;
75  for (const auto& pf : pfs) {
76  if (ignore_leptons_) {
77  int pdg_id = std::abs(pf.pdgId());
78  if (pdg_id == 11 || pdg_id == 13) {
79  px_leptons += pf.px();
80  py_leptons += pf.py();
81  continue;
82  }
83  }
84 
85  // fill the tensor
86  // PF keys [b'PF_dxy', b'PF_dz', b'PF_eta', b'PF_mass', b'PF_pt', b'PF_puppiWeight', b'PF_px', b'PF_py']
87  float* ptr = &input_.tensor<float, 3>()(0, i_pf, 0);
88  *ptr = pf.dxy();
89  *(++ptr) = pf.dz();
90  *(++ptr) = pf.eta();
91  *(++ptr) = pf.mass();
92  *(++ptr) = scale_and_rm_outlier(pf.pt(), scale);
93  *(++ptr) = pf.puppiWeight();
94  *(++ptr) = scale_and_rm_outlier(pf.px(), scale);
95  *(++ptr) = scale_and_rm_outlier(pf.py(), scale);
96  input_cat0_.tensor<float, 3>()(0, i_pf, 0) = charge_embedding.at(pf.charge());
97  input_cat1_.tensor<float, 3>()(0, i_pf, 0) = pdg_id_embedding.at(pf.pdgId());
98  input_cat2_.tensor<float, 3>()(0, i_pf, 0) = pf.fromPV();
99 
100  ++i_pf;
101  if (i_pf == max_n_pf_) {
102  break; // output a warning?
103  }
104  }
105 
106  std::vector<tensorflow::Tensor> outputs;
107  const std::vector<std::string> output_names = {"output/BiasAdd"};
108 
109  // run the inference and return met
111 
112  // The DNN directly estimates the missing px and py, not the recoil
113  float px = outputs[0].tensor<float, 2>()(0, 0) * norm_;
114  float py = outputs[0].tensor<float, 2>()(0, 1) * norm_;
115 
116  px -= px_leptons;
117  py -= py_leptons;
118 
119  LogDebug("produce") << "<DeepMETProducer::produce>:" << std::endl
120  << " MET from DeepMET Producer is MET_x " << px << " and MET_y " << py << std::endl;
121 
122  auto pf_mets = std::make_unique<pat::METCollection>();
123  const reco::Candidate::LorentzVector p4(px, py, 0., std::hypot(px, py));
124  pf_mets->emplace_back(reco::MET(p4, {}));
125  event.put(std::move(pf_mets));
126 }
std::vector< NamedTensor > NamedTensorList
Definition: TensorFlow.h:30
const bool ignore_leptons_
tensorflow::Tensor input_cat0_
tensorflow::Tensor input_cat1_
tensorflow::Tensor input_
static const std::unordered_map< int, int32_t > charge_embedding
Definition: DeepMETHelp.h:10
Definition: MET.h:41
void run(Session *session, const NamedTensorList &inputs, const std::vector< std::string > &outputNames, std::vector< Tensor > *outputs, const thread::ThreadPoolOptions &threadPoolOptions)
Definition: TensorFlow.cc:213
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
tensorflow::Session * session_
static const std::unordered_map< int, int32_t > pdg_id_embedding
Definition: DeepMETHelp.h:11
tensorflow::Tensor input_cat2_
math::XYZTLorentzVector LorentzVector
Lorentz vector.
Definition: Candidate.h:36
float scale_and_rm_outlier(float val, float scale)
Definition: DeepMETHelper.cc:4
const unsigned int max_n_pf_
const edm::EDGetTokenT< std::vector< pat::PackedCandidate > > pf_token_
def move(src, dest)
Definition: eostools.py:511
const float norm_
#define LogDebug(id)

Member Data Documentation

◆ ignore_leptons_

const bool DeepMETProducer::ignore_leptons_
private

Definition at line 31 of file DeepMETProducer.cc.

Referenced by produce().

◆ input_

tensorflow::Tensor DeepMETProducer::input_
private

Definition at line 36 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat0_

tensorflow::Tensor DeepMETProducer::input_cat0_
private

Definition at line 37 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat1_

tensorflow::Tensor DeepMETProducer::input_cat1_
private

Definition at line 38 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat2_

tensorflow::Tensor DeepMETProducer::input_cat2_
private

Definition at line 39 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ max_n_pf_

const unsigned int DeepMETProducer::max_n_pf_
private

Definition at line 32 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ norm_

const float DeepMETProducer::norm_
private

Definition at line 30 of file DeepMETProducer.cc.

Referenced by produce().

◆ pf_token_

const edm::EDGetTokenT<std::vector<pat::PackedCandidate> > DeepMETProducer::pf_token_
private

Definition at line 29 of file DeepMETProducer.cc.

Referenced by produce().

◆ session_

tensorflow::Session* DeepMETProducer::session_
private

Definition at line 34 of file DeepMETProducer.cc.

Referenced by produce().