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

Public Member Functions

 DeepMETProducer (const edm::ParameterSet &, const tensorflow::SessionCache *)
 
void produce (edm::Event &event, const edm::EventSetup &setup) override
 
- Public Member Functions inherited from edm::stream::EDProducer< edm::GlobalCache< tensorflow::SessionCache > >
 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 (tensorflow::SessionCache *)
 
static std::unique_ptr< tensorflow::SessionCacheinitializeGlobalCache (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_
 
const tensorflow::Session * session_
 

Additional Inherited Members

- Public Types inherited from edm::stream::EDProducer< edm::GlobalCache< tensorflow::SessionCache > >
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 14 of file DeepMETProducer.cc.

Constructor & Destructor Documentation

◆ DeepMETProducer()

DeepMETProducer::DeepMETProducer ( const edm::ParameterSet cfg,
const tensorflow::SessionCache cache 
)
explicit

Definition at line 38 of file DeepMETProducer.cc.

References input_, input_cat0_, input_cat1_, input_cat2_, max_n_pf_, and l1trig_cff::shape.

39  : pf_token_(consumes<std::vector<pat::PackedCandidate> >(cfg.getParameter<edm::InputTag>("pf_src"))),
40  norm_(cfg.getParameter<double>("norm_factor")),
41  ignore_leptons_(cfg.getParameter<bool>("ignore_leptons")),
42  max_n_pf_(cfg.getParameter<unsigned int>("max_n_pf")),
43  session_(cache->getSession()) {
44  produces<pat::METCollection>();
45 
46  const tensorflow::TensorShape shape({1, max_n_pf_, 8});
47  const tensorflow::TensorShape cat_shape({1, max_n_pf_, 1});
48 
49  input_ = tensorflow::Tensor(tensorflow::DT_FLOAT, shape);
50  input_cat0_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
51  input_cat1_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
52  input_cat2_ = tensorflow::Tensor(tensorflow::DT_FLOAT, cat_shape);
53 }
const bool ignore_leptons_
tensorflow::Tensor input_cat0_
tensorflow::Tensor input_cat1_
tensorflow::Tensor input_
const 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 130 of file DeepMETProducer.cc.

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

130  {
132  desc.add<edm::InputTag>("pf_src", edm::InputTag("packedPFCandidates"));
133  desc.add<bool>("ignore_leptons", false);
134  desc.add<double>("norm_factor", 50.);
135  desc.add<unsigned int>("max_n_pf", 4500);
136  desc.add<std::string>("graph_path", "RecoMET/METPUSubtraction/data/models/deepmet/deepmet_v1_2018/model.graphdef");
137  descriptions.add("deepMETProducer", desc);
138 }
void add(std::string const &label, ParameterSetDescription const &psetDescription)

◆ globalEndJob()

static void DeepMETProducer::globalEndJob ( tensorflow::SessionCache )
inlinestatic

Definition at line 22 of file DeepMETProducer.cc.

22 {};

◆ initializeGlobalCache()

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

Definition at line 124 of file DeepMETProducer.cc.

References edm::FileInPath::fullPath(), HLT_2023v12_cff::graphPath, submitPVValidationJobs::params, and AlCaHLTBitMon_QueryRunRegistry::string.

124  {
125  // this method is supposed to create, initialize and return a SessionCache instance
126  std::string graphPath = edm::FileInPath(params.getParameter<std::string>("graph_path")).fullPath();
127  return std::make_unique<tensorflow::SessionCache>(graphPath);
128 }
std::string fullPath() const
Definition: FileInPath.cc:161

◆ produce()

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

Definition at line 55 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_2023v12_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_.

55  {
56  auto const& pfs = event.get(pf_token_);
57 
58  const tensorflow::NamedTensorList input_list = {
59  {"input", input_}, {"input_cat0", input_cat0_}, {"input_cat1", input_cat1_}, {"input_cat2", input_cat2_}};
60 
61  // Set all inputs to zero
62  input_.flat<float>().setZero();
63  input_cat0_.flat<float>().setZero();
64  input_cat1_.flat<float>().setZero();
65  input_cat2_.flat<float>().setZero();
66 
67  size_t i_pf = 0;
68  float px_leptons = 0.;
69  float py_leptons = 0.;
70  const float scale = 1. / norm_;
71  for (const auto& pf : pfs) {
72  if (ignore_leptons_) {
73  int pdg_id = std::abs(pf.pdgId());
74  if (pdg_id == 11 || pdg_id == 13) {
75  px_leptons += pf.px();
76  py_leptons += pf.py();
77  continue;
78  }
79  }
80 
81  // fill the tensor
82  // 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']
83  float* ptr = &input_.tensor<float, 3>()(0, i_pf, 0);
84  *ptr = pf.dxy();
85  *(++ptr) = pf.dz();
86  *(++ptr) = pf.eta();
87  *(++ptr) = pf.mass();
88  *(++ptr) = scale_and_rm_outlier(pf.pt(), scale);
89  *(++ptr) = pf.puppiWeight();
90  *(++ptr) = scale_and_rm_outlier(pf.px(), scale);
91  *(++ptr) = scale_and_rm_outlier(pf.py(), scale);
92  input_cat0_.tensor<float, 3>()(0, i_pf, 0) = charge_embedding.at(pf.charge());
93  input_cat1_.tensor<float, 3>()(0, i_pf, 0) = pdg_id_embedding.at(pf.pdgId());
94  input_cat2_.tensor<float, 3>()(0, i_pf, 0) = pf.fromPV();
95 
96  ++i_pf;
97  if (i_pf == max_n_pf_) {
98  break; // output a warning?
99  }
100  }
101 
102  std::vector<tensorflow::Tensor> outputs;
103  const std::vector<std::string> output_names = {"output/BiasAdd"};
104 
105  // run the inference and return met
107 
108  // The DNN directly estimates the missing px and py, not the recoil
109  float px = outputs[0].tensor<float, 2>()(0, 0) * norm_;
110  float py = outputs[0].tensor<float, 2>()(0, 1) * norm_;
111 
112  px -= px_leptons;
113  py -= py_leptons;
114 
115  LogDebug("produce") << "<DeepMETProducer::produce>:" << std::endl
116  << " MET from DeepMET Producer is MET_x " << px << " and MET_y " << py << std::endl;
117 
118  auto pf_mets = std::make_unique<pat::METCollection>();
119  const reco::Candidate::LorentzVector p4(px, py, 0., std::hypot(px, py));
120  pf_mets->emplace_back(reco::MET(p4, {}));
121  event.put(std::move(pf_mets));
122 }
std::vector< NamedTensor > NamedTensorList
Definition: TensorFlow.h:29
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:222
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
static const std::unordered_map< int, int32_t > pdg_id_embedding
Definition: DeepMETHelp.h:11
const tensorflow::Session * session_
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 27 of file DeepMETProducer.cc.

Referenced by produce().

◆ input_

tensorflow::Tensor DeepMETProducer::input_
private

Definition at line 32 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat0_

tensorflow::Tensor DeepMETProducer::input_cat0_
private

Definition at line 33 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat1_

tensorflow::Tensor DeepMETProducer::input_cat1_
private

Definition at line 34 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ input_cat2_

tensorflow::Tensor DeepMETProducer::input_cat2_
private

Definition at line 35 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ max_n_pf_

const unsigned int DeepMETProducer::max_n_pf_
private

Definition at line 28 of file DeepMETProducer.cc.

Referenced by DeepMETProducer(), and produce().

◆ norm_

const float DeepMETProducer::norm_
private

Definition at line 26 of file DeepMETProducer.cc.

Referenced by produce().

◆ pf_token_

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

Definition at line 22 of file DeepMETProducer.cc.

Referenced by produce().

◆ session_

const tensorflow::Session* DeepMETProducer::session_
private

Definition at line 30 of file DeepMETProducer.cc.

Referenced by produce().