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AXOL1TL change to v3 of model #43791

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Feb 2, 2024
Merged

AXOL1TL change to v3 of model #43791

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dd6f8b5
menu fix
quinnanm Jan 26, 2024
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quinnanm Jan 26, 2024
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2 changes: 1 addition & 1 deletion L1Trigger/L1TGlobal/python/simGtStage2Digis_cfi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
JetInputTag = cms.InputTag("simCaloStage2Digis"),
EtSumInputTag = cms.InputTag("simCaloStage2Digis"),
EtSumZdcInputTag = cms.InputTag("etSumZdcProducer"),
AXOL1TLModelVersion = cms.string("GTADModel_v1"),
AXOL1TLModelVersion = cms.string("GTADModel_v3"),
AlgorithmTriggersUnmasked = cms.bool(True),
AlgorithmTriggersUnprescaled = cms.bool(True),
GetPrescaleColumnFromData = cms.bool(False),
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31 changes: 18 additions & 13 deletions L1Trigger/L1TGlobal/src/AXOL1TLCondition.cc
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Expand Up @@ -90,11 +90,10 @@ const bool l1t::AXOL1TLCondition::evaluateCondition(const int bxEval) const {
int useBx = bxEval + m_gtAXOL1TLTemplate->condRelativeBx();

//HLS4ML stuff
std::string AXOL1TLmodelversion = m_AXOL1TLmodelversion;
std::string AXOL1TLmodelversion = m_AXOL1TLmodelversion; //config loading method
hls4mlEmulator::ModelLoader loader(AXOL1TLmodelversion);
std::shared_ptr<hls4mlEmulator::Model> model;
model = loader.load_model();
cout << "loading model... " << AXOL1TLmodelversion << std::endl;

// //pointers to objects
const BXVector<const l1t::Muon*>* candMuVec = m_gtGTB->getCandL1Mu();
Expand All @@ -116,24 +115,30 @@ const bool l1t::AXOL1TLCondition::evaluateCondition(const int bxEval) const {
//total # inputs in vector is (4+10+4+1)*3 = 57
const int NInputs = 57;

//types of inputs and outputs
typedef ap_fixed<18, 13> inputtype;
typedef std::array<ap_fixed<10, 7, AP_RND_CONV, AP_SAT>, 8> resulttype; //v3
typedef ap_ufixed<18, 14> losstype;
typedef std::pair<resulttype, losstype> pairtype;
// typedef std::array<ap_fixed<10, 7>, 13> resulttype; //deprecated v1 type:

//define zero
ap_fixed<18, 13> fillzero = 0.0;
inputtype fillzero = 0.0;

//AD vector declaration, will fill later
ap_fixed<18, 13> ADModelInput[NInputs] = {};
inputtype ADModelInput[NInputs] = {};

//initializing vector by type for my sanity
ap_fixed<18, 13> MuInput[MuVecSize];
ap_fixed<18, 13> JetInput[JVecSize];
ap_fixed<18, 13> EgammaInput[EGVecSize];
ap_fixed<18, 13> EtSumInput[EtSumVecSize];
inputtype MuInput[MuVecSize];
inputtype JetInput[JVecSize];
inputtype EgammaInput[EGVecSize];
inputtype EtSumInput[EtSumVecSize];

//declare result vectors +score
std::array<ap_fixed<10, 7>, 13> result;
ap_ufixed<18, 14> loss;
std::pair<std::array<ap_fixed<10, 7>, 13>, ap_ufixed<18, 14>>
ADModelResult; //model outputs a pair of the (result vector, loss)
float score = -1.0; //not sure what the best default is hm??
resulttype result;
losstype loss;
pairtype ADModelResult; //model outputs a pair of the (result vector, loss)
float score = -1.0; //not sure what the best default is hm??

//check number of input objects we actually have (muons, jets etc)
int NCandMu = candMuVec->size(useBx);
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