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L1NNTauProducer.cc
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2 #include <TLorentzVector.h>
3 #include <cmath>
4 #include <vector>
5 
11 
16 
17 #include "ap_int.h"
18 #include "ap_fixed.h"
19 
20 using namespace l1t;
21 
22 class L1NNTauProducer : public edm::stream::EDProducer<edm::GlobalCache<tensorflow::SessionCache>> {
23 public:
25  ~L1NNTauProducer() override;
26 
27  static void fillDescriptions(edm::ConfigurationDescriptions& descriptions);
28  static std::unique_ptr<tensorflow::SessionCache> initializeGlobalCache(const edm::ParameterSet&);
29  static void globalEndJob(const tensorflow::SessionCache*) {}
30 
31 private:
32  // There is te software and hardware emulator for the tau, default is the Hardware.
33  std::unique_ptr<TauNNId> fTauNNId_;
34  std::unique_ptr<TauNNIdHW> fTauNNIdHW_; // Default
35 
36  void produce(edm::Event& iEvent, const edm::EventSetup& iSetup) override;
37  void process_SW(const l1t::PFCandidateCollection& parts, std::unique_ptr<l1t::PFTauCollection>& iTaus);
38  void process_HW(const l1t::PFCandidateCollection& parts, std::unique_ptr<l1t::PFTauCollection>& iTaus);
39  void makeTau_HW(const l1t::PFCandidate& seed,
41  std::unique_ptr<l1t::PFTauCollection>& iTaus);
42 
43  void addTau(const l1t::PFCandidate& iCand,
44  const l1t::PFCandidateCollection& iParts,
45  std::unique_ptr<PFTauCollection>& outputTaus);
46 
47  double fSeedPt_;
48  double fConeSize_;
49  double fTauSize_;
50  int fMaxTaus_;
52  const bool fHW;
53  const bool fEMSeed;
54  const bool fDebug;
56 };
57 
58 static constexpr float track_trigger_eta_max = 2.5;
59 
61  : fSeedPt_(cfg.getParameter<double>("seedpt")),
62  fConeSize_(cfg.getParameter<double>("conesize")),
63  fTauSize_(cfg.getParameter<double>("tausize")),
64  fMaxTaus_(cfg.getParameter<int>("maxtaus")),
65  fNParticles_(cfg.getParameter<int>("nparticles")),
66  fHW(cfg.getParameter<bool>("HW")),
67  fEMSeed(cfg.getParameter<bool>("emseed")),
68  fDebug(cfg.getParameter<bool>("debug")),
69  fL1PFToken_(consumes<vector<l1t::PFCandidate>>(cfg.getParameter<edm::InputTag>("L1PFObjects"))) {
70  std::string lNNFile = cfg.getParameter<std::string>("NNFileName"); //,"L1Trigger/Phase2L1Taus/data/tau_3layer.pb");
71  if (fHW) {
72  fTauNNIdHW_ = std::make_unique<TauNNIdHW>();
73  fTauNNIdHW_->initialize("input_1:0", fNParticles_);
74  } else {
75  fTauNNId_ = std::make_unique<TauNNId>(lNNFile.find("v0") == std::string::npos ? "input_1:0" : "dense_1_input:0",
76  cache->getSession(),
77  lNNFile,
78  fNParticles_);
79  }
80  produces<l1t::PFTauCollection>("L1PFTausNN");
81 }
82 
83 std::unique_ptr<tensorflow::SessionCache> L1NNTauProducer::initializeGlobalCache(const edm::ParameterSet& cfg) {
84  std::string graphPath = edm::FileInPath(cfg.getParameter<std::string>("NNFileName")).fullPath();
85  return std::make_unique<tensorflow::SessionCache>(graphPath);
86 }
87 
90  iEvent.getByToken(fL1PFToken_, l1PFCandidates);
91  auto lTaus = std::make_unique<l1t::PFTauCollection>();
92 
93  if (fHW) {
94  process_HW(*l1PFCandidates, lTaus);
95  } else {
96  process_SW(*l1PFCandidates, lTaus);
97  }
98 
99  std::sort(lTaus->begin(), lTaus->end(), [](l1t::PFTau i, l1t::PFTau j) { return (i.pt() > j.pt()); });
100  iEvent.put(std::move(lTaus), "L1PFTausNN");
101 }
103  std::unique_ptr<l1t::PFTauCollection>& iTaus) {
104  std::vector<unique_ptr<l1t::PFCandidate>> pfChargedHadrons;
105  std::vector<unique_ptr<l1t::PFCandidate>> pfChargedHadrons_sort_v;
106  std::vector<unique_ptr<l1t::PFCandidate>> pfChargedHadrons_seeds_v;
107  for (const auto& l1PFCand : parts)
108  if ((l1PFCand.id() == l1t::PFCandidate::ChargedHadron || l1PFCand.id() == l1t::PFCandidate::Electron) &&
109  std::abs(l1PFCand.eta()) < track_trigger_eta_max)
110  pfChargedHadrons_sort_v.push_back(std::make_unique<l1t::PFCandidate>(l1PFCand));
111 
112  if (pfChargedHadrons_sort_v.empty())
113  return;
114  std::sort(
115  pfChargedHadrons_sort_v.begin(),
116  pfChargedHadrons_sort_v.end(),
117  [](std::unique_ptr<l1t::PFCandidate>& i, std::unique_ptr<l1t::PFCandidate>& j) { return (i->pt() > j->pt()); });
118 
119  pfChargedHadrons_seeds_v.push_back(std::move(pfChargedHadrons_sort_v[0]));
120  for (unsigned int i0 = 1; i0 < pfChargedHadrons_sort_v.size(); i0++) {
121  bool pMatch = false;
122  for (unsigned int i1 = 0; i1 < pfChargedHadrons_seeds_v.size(); i1++) {
123  if (reco::deltaR2(*(pfChargedHadrons_seeds_v[i1]), *(pfChargedHadrons_sort_v[i0])) < fConeSize_ * fConeSize_)
124  pMatch = true;
125  }
126  if (pMatch)
127  continue;
128  pfChargedHadrons_seeds_v.push_back(std::move(pfChargedHadrons_sort_v[i0]));
129  if (int(pfChargedHadrons_seeds_v.size()) > fMaxTaus_ - 1)
130  break;
131  }
132  for (unsigned int i0 = 0; i0 < pfChargedHadrons_seeds_v.size(); i0++) {
133  addTau(*(pfChargedHadrons_seeds_v[i0]), parts, iTaus);
134  }
135 }
136 
137 // create taus based on grid structure
139  const l1t::PFCandidateCollection& iParts,
140  std::unique_ptr<l1t::PFTauCollection>& outputTaus) {
141  l1t::PFCandidateCollection pfTauCands;
142  math::PtEtaPhiMLorentzVector lTot(0, 0, 0, 0);
143  math::PtEtaPhiMLorentzVector lCand(0, 0, 0, 0);
144  int lId = 0;
145  float z0 = 0;
146  float dxy = 0;
147  for (const auto& l1PFCand : iParts) {
148  if (reco::deltaR2(iCand, l1PFCand) > fConeSize_ * fConeSize_)
149  continue;
150  math::PtEtaPhiMLorentzVector pVec(l1PFCand.pt(), l1PFCand.eta(), l1PFCand.phi(), 0);
151  lTot += pVec;
152  if (reco::deltaR2(iCand, l1PFCand) < fTauSize_ * fTauSize_ &&
153  (l1PFCand.id() == l1t::PFCandidate::Electron || l1PFCand.id() == l1t::PFCandidate::ChargedHadron ||
154  l1PFCand.id() == l1t::PFCandidate::Photon)) {
155  lId++;
156  lCand += pVec;
157  if (z0 == 0 && l1PFCand.id() == l1t::PFCandidate::ChargedHadron) {
158  z0 = l1PFCand.z0();
159  dxy = l1PFCand.dxy();
160  }
161  }
162  pfTauCands.push_back(l1PFCand);
163  }
164  if (lTot.Pt() < fSeedPt_)
165  return;
166  std::sort(
167  pfTauCands.begin(), pfTauCands.end(), [](l1t::PFCandidate i, l1t::PFCandidate j) { return (i.pt() > j.pt()); });
168  float NN = fTauNNId_->compute(iCand, pfTauCands);
169  float* lNNVector = fTauNNId_->NNVectorVar();
170  math::PtEtaPhiMLorentzVector tempP4(lCand.Pt(), lCand.Eta(), lCand.Phi(), lCand.M() * lCand.M());
171  l1t::PFTau l1PFTau(tempP4, lNNVector, NN, 0, lId);
172  l1PFTau.setZ0(z0);
173  l1PFTau.setDxy(dxy);
174  outputTaus->push_back(l1PFTau);
175 }
177  // L1NNTauProducer
179  desc.add<std::string>("NNFileName", "L1Trigger/Phase2L1ParticleFlow/data/tau_3layer.pb");
180  desc.add<double>("tausize", 0.1);
181  desc.add<int>("maxtaus", 5);
182  desc.add<int>("nparticles", 10);
183  desc.add<double>("conesize", 0.4);
184  desc.add<double>("seedpt", 20);
185  desc.add<bool>("HW", true);
186  desc.add<bool>("emseed", true);
187  desc.add<bool>("debug", false);
188  desc.add<edm::InputTag>("L1PFObjects", edm::InputTag("L1PFProducer", "l1pfCandidates"));
189  descriptions.add("L1NNTauProducer", desc);
190 }
191 
194  std::unique_ptr<l1t::PFTauCollection>& iTaus) {
195  // Seed Cone Jet algorithm with ap_fixed types and hardware emulation
196  L1TauEmu::detaphi_t rCone2 =
198  unsigned lId = 0;
199 
200  input2_t p1_tot = 0;
201  input2_t p1x_tot = 0;
202  input2_t p1y_tot = 0;
203  input2_t p1z_tot = 0;
204 
205  input_t e1ta_1 = seed.eta();
206  input_t p1hi_1 = seed.phi();
207  L1TauEmu::pt_t pt = 0;
208  L1TauEmu::z0_t z0 = 0;
209  L1TauEmu::dxy_t dxy = 0;
210 
211  // Reconstruct the Tau Cone
212  for (unsigned i0 = 0; i0 < parts.size(); i0++) {
213  if (L1TauEmu::inCone(seed, (parts[i0]), rCone2)) {
215  parts[i0].id() == l1t::PFCandidate::Photon) {
216  lId++;
217  pt = pt + L1TauEmu::pt_t(parts[i0].pt());
218 
219  input2_t d1eta = input_t(parts[i0].eta()) - e1ta_1;
220  input2_t d1phi = input_t(parts[i0].phi()) - p1hi_1;
221  input2_t d1r2 = d1eta * d1eta + d1phi * d1phi;
222  input2_t tmppt = input_t(parts[i0].pt());
223  input2_t half = 0.5;
224  p1z_tot = p1z_tot + tmppt * (1 - d1r2 * half);
225  p1y_tot = p1y_tot + tmppt * d1phi;
226  p1x_tot = p1x_tot + tmppt * d1eta;
227  p1_tot = p1_tot + tmppt;
228 
229  if (z0 == 0 && parts[i0].id() == l1t::PFCandidate::ChargedHadron) {
230  z0 = parts[i0].hwZ0();
231  dxy = parts[i0].hwDxy();
232  }
233  }
234  }
235  }
236 
237  //Compute the mass
238  input2_t tmpmass1 = (p1_tot * p1_tot - p1x_tot * p1x_tot - p1y_tot * p1y_tot - p1z_tot * p1z_tot);
239  if (tmpmass1 < 0)
240  tmpmass1 = 0;
241  L1TauEmu::pt_t mass = l1ct::pt_t(tmpmass1);
242 
243  if (pt < fSeedPt_)
244  return;
245 
246  // Tau NN Inference
247  Tau_NN_Result NN_ouput = fTauNNIdHW_->compute(seed, parts);
248 
249  // Needed for making PFTau
250  input_t* lNNVector = fTauNNIdHW_->NNVectorVar();
251  float pNNVec[80];
252  for (unsigned i0 = 0; i0 < 80; i0++)
253  pNNVec[i0] = float(lNNVector[i0]);
254 
255  //Firmware Tau
256  l1ct::Tau l1ctTau;
257  l1ctTau.hwPt = l1ct::pt_t(pt * NN_ouput.nn_pt_correction); //l1gt is <16,11> and currently <16,14>
258  l1ctTau.hwEta = l1ct::Scales::makeGlbEta(seed.eta()); // seed.eta() and seed.phi() are in physical coordinates
259  l1ctTau.hwPhi = l1ct::Scales::makeGlbPhi(seed.phi());
260 
261  l1ctTau.hwSeedPt = seed.pt();
262  l1ctTau.hwSeedZ0 = seed.hwZ0();
263  l1ctTau.hwCharge = seed.charge();
264 
265  l1ctTau.hwType = l1ct::Tau::type_t(lId);
266  l1ctTau.hwRawId = ap_uint<10>(NN_ouput.nn_id * 1024); //NN Output is ap_fixed<16, 6> so need to cast.
267 
268  //Convert to GT format and pack to encodedTau of PFTau
269  l1gt::Tau l1gtTau = l1ctTau.toGT();
270  l1gt::PackedTau packed_Tau = l1gtTau.pack();
271 
272  //Make PFTau
273  //Save pt, eta and phi in gt scales
275  l1gt::Scales::floatEta(l1gtTau.v3.eta),
276  l1gt::Scales::floatPhi(l1gtTau.v3.phi),
277  float(mass));
278 
279  l1t::PFTau l1PFTau(tempP4, pNNVec, NN_ouput.nn_id, 0, lId);
280  l1PFTau.setZ0(float(z0) * 0.05); //L1TauEmu::z0_base);
281  l1PFTau.setDxy(float(dxy) * 0.05); //L1TauEmu::dxy_base);
282 
283  l1PFTau.set_encodedTau(packed_Tau);
284 
285  iTaus->push_back(l1PFTau);
286 }
287 
289  std::unique_ptr<l1t::PFTauCollection>& iTaus) {
290  // The fixed point algorithm emulation
291  using namespace L1TauEmu;
292  std::vector<l1t::PFCandidate> work;
293  work.resize(parts.size());
294  std::transform(parts.begin(), parts.end(), work.begin(), [](const l1t::PFCandidate& part) { return part; });
295  std::sort(work.begin(), work.end(), [](l1t::PFCandidate i, l1t::PFCandidate j) {
296  return (l1ct::pt_t(i.pt()) > l1ct::pt_t(j.pt()));
297  });
298 
299  std::vector<l1t::PFCandidate> seeds;
301  if (fEMSeed)
302  lSeed = l1t::PFCandidate::Photon;
303  std::copy_if(work.begin(), work.end(), std::back_inserter(seeds), [&](const l1t::PFCandidate& part) {
305  part.id() == lSeed) &&
307  });
308  // It would be nice to transform the inputs to the etaphi_base of the FW here, as in the line below
309  // However the phi may wrap around if the etaphi_base > 1, so don't do it...
310  //std::for_each(work.begin(), work.end(), [](l1t::PFCandidate& x){x.setP4(math::PtEtaPhiMLorentzVector(pt_t(x.pt()), etaphi_t(x.eta()*etaphi_base), etaphi_t(x.phi()*etaphi_base), x.mass()));});
312 
313  iTaus->reserve(fMaxTaus_);
314  while (!seeds.empty() && iTaus->size() < unsigned(fMaxTaus_)) {
315  // Take the first (highest pt) candidate as a seed
316  l1t::PFCandidate seed = seeds.at(0);
317  // Get the particles within a _coneSize of the seed
318  std::vector<l1t::PFCandidate> particlesInCone;
319  std::copy_if(work.begin(), work.end(), std::back_inserter(particlesInCone), [&](l1t::PFCandidate& part) {
320  return inCone(seed, part, rCone2);
321  });
322  makeTau_HW(seed, particlesInCone, iTaus);
323  // remove the clustered particles
324  work.erase(std::remove_if(
325  work.begin(), work.end(), [&](const l1t::PFCandidate& part) { return inCone(seed, part, rCone2); }),
326  work.end());
327 
328  seeds.erase(
329  std::remove_if(
330  seeds.begin(), seeds.end(), [&](const l1t::PFCandidate& part) { return inCone(seed, part, rCone2); }),
331  seeds.end());
332  }
333 }
334 
336 
void set_encodedTau(l1gt::PackedTau encodedTau)
Definition: PFTau.h:75
glbeta_t makeGlbEta(float eta)
Definition: datatypes.h:203
float floatPhi(phi_t phi)
Definition: gt_datatypes.h:49
float floatEta(eta_t eta)
Definition: gt_datatypes.h:48
static constexpr float track_trigger_eta_max
result_t nn_id
Definition: TauNNIdHW.h:19
L1NNTauProducer(const edm::ParameterSet &, const tensorflow::SessionCache *)
static constexpr float etaphi_base
Definition: TauNNIdHW.h:27
std::unique_ptr< TauNNIdHW > fTauNNIdHW_
void setDxy(float dxy)
Definition: PFTau.h:52
std::vector< l1t::PFCandidate > PFCandidateCollection
Definition: PFCandidate.h:86
ap_fixed< 24, 12 > input2_t
Definition: defines.h:28
void produce(edm::Event &iEvent, const edm::EventSetup &iSetup) override
glbphi_t makeGlbPhi(float phi)
Definition: datatypes.h:206
delete x;
Definition: CaloConfig.h:22
ap_fixed< 12, 6 > detaphi_t
Definition: TauNNIdHW.h:30
void makeTau_HW(const l1t::PFCandidate &seed, l1t::PFCandidateCollection &parts, std::unique_ptr< l1t::PFTauCollection > &iTaus)
type_t hwType
Definition: taus.h:21
edm::EDGetTokenT< vector< l1t::PFCandidate > > fL1PFToken_
std::array< uint64_t, 2 > PackedTau
Definition: gt_datatypes.h:39
PtEtaPhiMLorentzVectorD PtEtaPhiMLorentzVector
Lorentz vector with cartesian internal representation.
Definition: LorentzVector.h:25
ap_int< 13 > detaphi_t
void addTau(const l1t::PFCandidate &iCand, const l1t::PFCandidateCollection &iParts, std::unique_ptr< PFTauCollection > &outputTaus)
std::unique_ptr< TauNNId > fTauNNId_
int iEvent
Definition: GenABIO.cc:224
constexpr Matriplex::idx_t NN
Definition: Matrix.h:48
ap_uint< 2 > type_t
Definition: taus.h:11
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
float floatPt(pt_t pt)
Definition: gt_datatypes.h:47
#define DEFINE_FWK_MODULE(type)
Definition: MakerMacros.h:16
bool hwCharge
Definition: taus.h:20
glbphi_t hwPhi
Definition: taus.h:17
pt_t hwPt
Definition: taus.h:15
Definition: taus.h:10
z0_t hwSeedZ0
Definition: taus.h:19
~L1NNTauProducer() override
ap_fixed< 16, 10 > input_t
Definition: defines.h:27
ap_ufixed< 14, 12, AP_TRN, AP_SAT > pt_t
Definition: datatypes.h:10
constexpr auto deltaR2(const T1 &t1, const T2 &t2) -> decltype(t1.eta())
Definition: deltaR.h:16
static void fillDescriptions(edm::ConfigurationDescriptions &descriptions)
static void fillDescriptions(edm::ConfigurationDescriptions &descriptions)
static std::unique_ptr< tensorflow::SessionCache > initializeGlobalCache(const edm::ParameterSet &)
part
Definition: HCALResponse.h:20
pt_t hwSeedPt
Definition: taus.h:18
l1gt::Tau toGT() const
Definition: taus.h:108
void add(std::string const &label, ParameterSetDescription const &psetDescription)
void process_HW(const l1t::PFCandidateCollection &parts, std::unique_ptr< l1t::PFTauCollection > &iTaus)
ap_ufixed< 14, 12, AP_TRN, AP_SAT > pt_t
Definition: TauNNIdHW.h:28
glbeta_t hwEta
Definition: taus.h:16
HLT enums.
def cache(function)
Definition: utilities.py:3
ap_int< 10 > z0_t
Definition: TauNNIdHW.h:34
const bool fEMSeed
void setZ0(float z0)
Definition: PFTau.h:51
ap_int< 8 > dxy_t
Definition: TauNNIdHW.h:33
const std::string & fullPath() const
Definition: FileInPath.cc:144
PackedTau pack() const
Definition: gt_datatypes.h:222
bool inCone(l1t::PFCandidate seed, l1t::PFCandidate part, detaphi_t cone2)
Definition: TauNNIdHW.h:123
static void globalEndJob(const tensorflow::SessionCache *)
result_t nn_pt_correction
Definition: TauNNIdHW.h:18
rawid_t hwRawId
Definition: taus.h:22
void process_SW(const l1t::PFCandidateCollection &parts, std::unique_ptr< l1t::PFTauCollection > &iTaus)
def move(src, dest)
Definition: eostools.py:511
constexpr float etaphi_base
unsigned transform(const HcalDetId &id, unsigned transformCode)