#include <FPGATrackSimGNNEdgeClassifierTool.h>

Inheritance diagram for FPGATrackSimGNNEdgeClassifierTool:

Collaboration diagram for FPGATrackSimGNNEdgeClassifierTool:

Public Member Functions
	FPGATrackSimGNNEdgeClassifierTool (const std::string &, const std::string &, const IInterface *)
virtual StatusCode	initialize () override
virtual StatusCode	scoreEdges (const std::vector< std::shared_ptr< FPGATrackSimGNNHit > > &hits, std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > &edges)
int	regionNum () const
ServiceHandle< StoreGateSvc > &	evtStore ()
	The standard `StoreGateSvc` (event store) Returns (kind of) a pointer to the `StoreGateSvc`.
const ServiceHandle< StoreGateSvc > &	detStore () const
	The standard `StoreGateSvc/DetectorStore` Returns (kind of) a pointer to the `StoreGateSvc`.
virtual StatusCode	sysInitialize () override
	Perform system initialization for an algorithm.
virtual StatusCode	sysStart () override
	Handle START transition.
virtual std::vector< Gaudi::DataHandle * >	inputHandles () const override
	Return this algorithm's input handles.
virtual std::vector< Gaudi::DataHandle * >	outputHandles () const override
	Return this algorithm's output handles.
Gaudi::Details::PropertyBase &	declareProperty (Gaudi::Property< T, V, H > &t)
void	updateVHKA (Gaudi::Details::PropertyBase &)
MsgStream &	msg () const
bool	msgLvl (const MSG::Level lvl) const

Protected Member Functions
void	renounceArray (SG::VarHandleKeyArray &handlesArray)
	remove all handles from I/O resolution
std::enable_if_t< std::is_void_v< std::result_of_t< decltype(&T::renounce)(T)> > &&!std::is_base_of_v< SG::VarHandleKeyArray, T > &&std::is_base_of_v< Gaudi::DataHandle, T >, void >	renounce (T &h)
void	extraDeps_update_handler (Gaudi::Details::PropertyBase &ExtraDeps)
	Add StoreName to extra input/output deps as needed.

Private Types
typedef ServiceHandle< StoreGateSvc >	StoreGateSvc_t

Private Member Functions
std::vector< float >	getNodeFeatures (const std::vector< std::shared_ptr< FPGATrackSimGNNHit > > &hits)
std::vector< int64_t >	getEdgeList (const std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > &edges)
std::vector< float >	getEdgeFeatures (std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > &edges, const std::vector< float > &gNodeFeatures)
void	computeEdgeFeatures (std::shared_ptr< FPGATrackSimGNNEdge > &edge, const int &hit1_index, const int &hit2_index, const std::vector< float > &gNodeFeatures)
Gaudi::Details::PropertyBase &	declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleKeyType &)
	specialization for handling Gaudi::Property<SG::VarHandleKey>

Private Attributes
ToolHandle< AthOnnx::IOnnxRuntimeInferenceTool >	m_GNNInferenceTool {this, "GNNInferenceTool", "AthOnnx::OnnxRuntimeInferenceTool"}
Gaudi::Property< int >	m_regionNum {this, "regionNum", -1, "Region number for this GNNEdgeClassifierTool"}
Gaudi::Property< bool >	m_doGNNPixelSeeding { this, "doGNNPixelSeeding", false, "Flag to configure for GNN Pixel Seeding" }
StringArrayProperty	m_gnnFeatureNamesVec
FloatArrayProperty	m_gnnFeatureScalesVec
StringArrayProperty	m_gnnFeatureNamesVec_pixelOnly
FloatArrayProperty	m_gnnFeatureScalesVec_pixelOnly
StoreGateSvc_t	m_evtStore
	Pointer to StoreGate (event store by default).
StoreGateSvc_t	m_detStore
	Pointer to StoreGate (detector store by default).
std::vector< SG::VarHandleKeyArray * >	m_vhka
bool	m_varHandleArraysDeclared

Detailed Description

Definition at line 25 of file FPGATrackSimGNNEdgeClassifierTool.h.

Member Typedef Documentation

◆ StoreGateSvc_t

typedef ServiceHandle<StoreGateSvc> AthCommonDataStore< AthCommonMsg< AlgTool > >::StoreGateSvc_t

privateinherited

Definition at line 388 of file AthCommonDataStore.h.

Constructor & Destructor Documentation

◆ FPGATrackSimGNNEdgeClassifierTool()

FPGATrackSimGNNEdgeClassifierTool::FPGATrackSimGNNEdgeClassifierTool	(	const std::string &	algname,
		const std::string &	name,
		const IInterface *	ifc )

Definition at line 11 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

12 : AthAlgTool(algname, name, ifc) {}

AthAlgTool::AthAlgTool

AthAlgTool()

Default constructor:

Member Function Documentation

◆ computeEdgeFeatures()

void FPGATrackSimGNNEdgeClassifierTool::computeEdgeFeatures	(	std::shared_ptr< FPGATrackSimGNNEdge > &	edge,
		const int &	hit1_index,
		const int &	hit2_index,
		const std::vector< float > &	gNodeFeatures )

private

Definition at line 139 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    size_t num_features = m_doGNNPixelSeeding ? m_gnnFeatureNamesVec_pixelOnly.size() : m_gnnFeatureNamesVec.size();
 
    std::map<std::string, float> hit1_features;
    std::map<std::string, float> hit2_features;
 
    if (m_doGNNPixelSeeding) {
        // Fill only pixel-only features
        for (size_t i = 0; i < m_gnnFeatureNamesVec_pixelOnly.size(); i++) {
            hit1_features[m_gnnFeatureNamesVec_pixelOnly[i]] = gNodeFeatures[hit1_index * num_features + i];
            hit2_features[m_gnnFeatureNamesVec_pixelOnly[i]] = gNodeFeatures[hit2_index * num_features + i];
        }
    } else {
        // Fill full feature set (including clusters)
        for (size_t i = 0; i < m_gnnFeatureNamesVec.size(); i++) {
            hit1_features[m_gnnFeatureNamesVec[i]] = gNodeFeatures[hit1_index * num_features + i];
            hit2_features[m_gnnFeatureNamesVec[i]] = gNodeFeatures[hit2_index * num_features + i];
        }
    }
 
    // Now compute differences using only the common "physics" features
    float deta = hit2_features["eta"] - hit1_features["eta"];
    float dz = hit2_features["z"] - hit1_features["z"];
    float dr = hit2_features["r"] - hit1_features["r"];
    float dphi = P4Helpers::deltaPhi(hit2_features["phi"], hit1_features["phi"]);
    float phislope = dr == 0. ? 0. : dphi / dr;
    float rphislope = 0.5 * (hit2_features["r"] + hit1_features["r"]) * phislope;
 
    edge->setEdgeDR(dr);
    edge->setEdgeDPhi(dphi);
    edge->setEdgeDZ(dz);
    edge->setEdgeDEta(deta);
    edge->setEdgePhiSlope(phislope);
    edge->setEdgeRPhiSlope(rphislope);
}

◆ declareGaudiProperty()

Gaudi::Details::PropertyBase & AthCommonDataStore< AthCommonMsg< AlgTool > >::declareGaudiProperty	(	Gaudi::Property< T, V, H > &	hndl,
		const SG::VarHandleKeyType &	)

inlineprivateinherited

specialization for handling Gaudi::Property<SG::VarHandleKey>

Definition at line 156 of file AthCommonDataStore.h.

  {
    return *AthCommonDataStore<PBASE>::declareProperty(hndl.name(),
                                                       hndl.value(), 
                                                       hndl.documentation());
 
  }

◆ declareProperty()

Gaudi::Details::PropertyBase & AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( Gaudi::Property< T, V, H > & t )

inlineinherited

Definition at line 145 of file AthCommonDataStore.h.

                                                                     {
    typedef typename SG::HandleClassifier<T>::type htype;
    return AthCommonDataStore<PBASE>::declareGaudiProperty(t, htype());
  }

◆ detStore()

const ServiceHandle< StoreGateSvc > & AthCommonDataStore< AthCommonMsg< AlgTool > >::detStore ( ) const

inlineinherited

The standard StoreGateSvc/DetectorStore Returns (kind of) a pointer to the StoreGateSvc.

Definition at line 95 of file AthCommonDataStore.h.

95{ return m_detStore; }

AthCommonDataStore< AthCommonMsg< AlgTool > >::m_detStore

StoreGateSvc_t m_detStore

Definition AthCommonDataStore.h:393

◆ evtStore()

ServiceHandle< StoreGateSvc > & AthCommonDataStore< AthCommonMsg< AlgTool > >::evtStore ( )

inlineinherited

The standard StoreGateSvc (event store) Returns (kind of) a pointer to the StoreGateSvc.

Definition at line 85 of file AthCommonDataStore.h.

85{ return m_evtStore; }

AthCommonDataStore< AthCommonMsg< AlgTool > >::m_evtStore

StoreGateSvc_t m_evtStore

Definition AthCommonDataStore.h:390

◆ extraDeps_update_handler()

void AthCommonDataStore< AthCommonMsg< AlgTool > >::extraDeps_update_handler ( Gaudi::Details::PropertyBase & ExtraDeps )

protectedinherited

Add StoreName to extra input/output deps as needed.

use the logic of the VarHandleKey to parse the DataObjID keys supplied via the ExtraInputs and ExtraOuputs Properties to add the StoreName if it's not explicitly given

◆ getEdgeFeatures()

std::vector< float > FPGATrackSimGNNEdgeClassifierTool::getEdgeFeatures	(	std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > &	edges,
		const std::vector< float > &	gNodeFeatures )

private

Definition at line 121 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    std::vector<float> gEdgeFeatures;
 
    for (auto& edge : edges) {
        computeEdgeFeatures(edge, edge->getEdgeIndex1(), edge->getEdgeIndex2(), gNodeFeatures);
 
        gEdgeFeatures.push_back(edge->getEdgeDR());
        gEdgeFeatures.push_back(edge->getEdgeDPhi());
        gEdgeFeatures.push_back(edge->getEdgeDZ());
        gEdgeFeatures.push_back(edge->getEdgeDEta());
        gEdgeFeatures.push_back(edge->getEdgePhiSlope());
        gEdgeFeatures.push_back(edge->getEdgeRPhiSlope());
    }
 
    return gEdgeFeatures;
}

◆ getEdgeList()

std::vector< int64_t > FPGATrackSimGNNEdgeClassifierTool::getEdgeList ( const std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > & edges )

private

Definition at line 104 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    std::vector<int64_t> rowIndices;
    std::vector<int64_t> colIndices;
    std::vector<int64_t> edgesList(edges.size() * 2);
 
    for(const auto& edge : edges) {
        rowIndices.push_back(edge->getEdgeIndex1());
        colIndices.push_back(edge->getEdgeIndex2());    
    }
 
    std::copy(rowIndices.begin(), rowIndices.end(), edgesList.begin());
    std::copy(colIndices.begin(), colIndices.end(), edgesList.begin() + edges.size());
 
    return edgesList;
}

◆ getNodeFeatures()

std::vector< float > FPGATrackSimGNNEdgeClassifierTool::getNodeFeatures ( const std::vector< std::shared_ptr< FPGATrackSimGNNHit > > & hits )

private

Definition at line 57 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    std::vector<float> gNodeFeatures;
 
    // For GNN model, we use phi-folding to [2pi/16,3pi/16], so all hit.phi needs to be rotated to the right region
    const float phi_binSize = M_PI / 16.0;
    int phiBin = m_regionNum & 0x1f;
    float regionMin = phi_binSize * phiBin;
    float referenceMin = 2.0 * M_PI / 16.0;
    float deltaPhi = referenceMin - regionMin;
 
    // For GNN model, I am going to assume eta symmetry for testing purposes, so negative eta should be flipped to positive eta
    int etaSide = (m_regionNum >> 5) & 0x1; // 1 is positive side, 0 negative side
    bool flipEta = (etaSide == 0);
    
    for(const auto& hit : hits) {
        std::map<std::string, float> features;
        features["r"] = hit->getR();
        features["phi"] = std::remainder(hit->getPhi() + deltaPhi, 2*M_PI); // Add the deltaPhi to shift the phi to the trained-region
        features["z"] = flipEta ? -hit->getZ() : hit->getZ();
        features["eta"] = flipEta ? -hit->getEta() : hit->getEta();
        if (m_doGNNPixelSeeding) { // Do not use cluster features for pixelOnly
            for(size_t i = 0; i < m_gnnFeatureNamesVec_pixelOnly.size(); i++){
                gNodeFeatures.push_back(
                features[m_gnnFeatureNamesVec_pixelOnly[i]] / m_gnnFeatureScalesVec_pixelOnly[i]);
            }
        }
        else { // Use cluster features and the standard feature vectors and scales
            features["cluster_r_1"] = hit->getCluster1R();
            features["cluster_phi_1"] = std::remainder(hit->getCluster1Phi() + deltaPhi, 2*M_PI);
            features["cluster_z_1"]   = flipEta ? -hit->getCluster1Z()   : hit->getCluster1Z();
            features["cluster_eta_1"] = flipEta ? -hit->getCluster1Eta() : hit->getCluster1Eta();
            features["cluster_r_2"] = hit->getCluster2R();
            features["cluster_phi_2"] = std::remainder(hit->getCluster2Phi() + deltaPhi, 2*M_PI);
            features["cluster_z_2"]   = flipEta ? -hit->getCluster2Z()   : hit->getCluster2Z();
            features["cluster_eta_2"] = flipEta ? -hit->getCluster2Eta() : hit->getCluster2Eta();
 
            for(size_t i = 0; i < m_gnnFeatureNamesVec.size(); i++){
                gNodeFeatures.push_back(
                features[m_gnnFeatureNamesVec[i]] / m_gnnFeatureScalesVec[i]);
            }
        }
    }
     
    return gNodeFeatures;
}

◆ initialize()

StatusCode FPGATrackSimGNNEdgeClassifierTool::initialize ( )

overridevirtual

Definition at line 14 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    ATH_CHECK( m_GNNInferenceTool.retrieve() );
    m_GNNInferenceTool->printModelInfo();
    assert(m_gnnFeatureNamesVec.size() == m_gnnFeatureScalesVec.size());
    assert(m_gnnFeatureNamesVec_pixelOnly.size() == m_gnnFeatureScalesVec_pixelOnly.size());
    
    return StatusCode::SUCCESS;
}

◆ inputHandles()

virtual std::vector< Gaudi::DataHandle * > AthCommonDataStore< AthCommonMsg< AlgTool > >::inputHandles ( ) const

overridevirtualinherited

Return this algorithm's input handles.

We override this to include handle instances from key arrays if they have not yet been declared. See comments on updateVHKA.

◆ msg()

MsgStream & AthCommonMsg< AlgTool >::msg ( ) const

inlineinherited

Definition at line 24 of file AthCommonMsg.h.

                                {
    return this->msgStream();
  }

◆ msgLvl()

bool AthCommonMsg< AlgTool >::msgLvl ( const MSG::Level lvl ) const

inlineinherited

Definition at line 30 of file AthCommonMsg.h.

                                               {
    return this->msgLevel(lvl);
  }

◆ outputHandles()

virtual std::vector< Gaudi::DataHandle * > AthCommonDataStore< AthCommonMsg< AlgTool > >::outputHandles ( ) const

overridevirtualinherited

Return this algorithm's output handles.

We override this to include handle instances from key arrays if they have not yet been declared. See comments on updateVHKA.

◆ regionNum()

int FPGATrackSimGNNEdgeClassifierTool::regionNum ( ) const

inline

Definition at line 40 of file FPGATrackSimGNNEdgeClassifierTool.h.

40{ return m_regionNum; }

◆ renounce()

std::enable_if_t< std::is_void_v< std::result_of_t< decltype(&T::renounce)(T)> > &&!std::is_base_of_v< SG::VarHandleKeyArray, T > &&std::is_base_of_v< Gaudi::DataHandle, T >, void > AthCommonDataStore< AthCommonMsg< AlgTool > >::renounce ( T & h )

inlineprotectedinherited

Definition at line 380 of file AthCommonDataStore.h.

  {
    h.renounce();
    PBASE::renounce (h);
  }

◆ renounceArray()

void AthCommonDataStore< AthCommonMsg< AlgTool > >::renounceArray ( SG::VarHandleKeyArray & handlesArray )

inlineprotectedinherited

remove all handles from I/O resolution

Definition at line 364 of file AthCommonDataStore.h.

                                                          {
    handlesArray.renounce();
  }

◆ scoreEdges()

StatusCode FPGATrackSimGNNEdgeClassifierTool::scoreEdges	(	const std::vector< std::shared_ptr< FPGATrackSimGNNHit > > &	hits,
		std::vector< std::shared_ptr< FPGATrackSimGNNEdge > > &	edges )

virtual

Definition at line 27 of file FPGATrackSimGNNEdgeClassifierTool.cxx.

{
    std::vector<float> edge_scores;
 
    std::vector<float> gNodeFeatures = getNodeFeatures(hits);
    std::vector<int64_t> edgeList = getEdgeList(edges);
    std::vector<float> gEdgeFeatures = getEdgeFeatures(edges, gNodeFeatures);
    
    std::vector<Ort::Value> gInputTensor;
    ATH_CHECK( m_GNNInferenceTool->addInput(gInputTensor, gNodeFeatures, 0, hits.size()) );
    ATH_CHECK( m_GNNInferenceTool->addInput(gInputTensor, edgeList, 1, edges.size()) );
    ATH_CHECK( m_GNNInferenceTool->addInput(gInputTensor, gEdgeFeatures, 2, edges.size()) );
 
    std::vector<float> gOutputData;
    std::vector<Ort::Value> gOutputTensor;
    ATH_CHECK( m_GNNInferenceTool->addOutput(gOutputTensor, edge_scores, 0, edges.size()) );
 
    ATH_CHECK( m_GNNInferenceTool->inference(gInputTensor, gOutputTensor) );
    // apply sigmoid to the gnn output data
    for(auto& v : edge_scores) {
        v = 1.f / (1.f + std::exp(-v));
    };
    
    for (size_t i = 0; i < edges.size(); i++) {
        edges[i]->setEdgeScore(edge_scores[i]);
    }
 
    return StatusCode::SUCCESS;
}

◆ sysInitialize()

virtual StatusCode AthCommonDataStore< AthCommonMsg< AlgTool > >::sysInitialize ( )

overridevirtualinherited

Perform system initialization for an algorithm.

We override this to declare all the elements of handle key arrays at the end of initialization. See comments on updateVHKA.

Reimplemented in asg::AsgMetadataTool, AthCheckedComponent< AthAlgTool >, AthCheckedComponent<::AthAlgTool >, and DerivationFramework::CfAthAlgTool.

◆ sysStart()

virtual StatusCode AthCommonDataStore< AthCommonMsg< AlgTool > >::sysStart ( )

overridevirtualinherited

Handle START transition.

We override this in order to make sure that conditions handle keys can cache a pointer to the conditions container.

◆ updateVHKA()

void AthCommonDataStore< AthCommonMsg< AlgTool > >::updateVHKA ( Gaudi::Details::PropertyBase & )

inlineinherited

Definition at line 308 of file AthCommonDataStore.h.

                                               {
    // debug() << "updateVHKA for property " << p.name() << " " << p.toString() 
    //         << "  size: " << m_vhka.size() << endmsg;
    for (auto &a : m_vhka) {
      std::vector<SG::VarHandleKey*> keys = a->keys();
      for (auto k : keys) {
        k->setOwner(this);
      }
    }
  }

Member Data Documentation

◆ m_detStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< AlgTool > >::m_detStore

privateinherited

Pointer to StoreGate (detector store by default).

Definition at line 393 of file AthCommonDataStore.h.

◆ m_doGNNPixelSeeding

Gaudi::Property<bool> FPGATrackSimGNNEdgeClassifierTool::m_doGNNPixelSeeding { this, "doGNNPixelSeeding", false, "Flag to configure for GNN Pixel Seeding" }

private

Definition at line 49 of file FPGATrackSimGNNEdgeClassifierTool.h.

49{ this, "doGNNPixelSeeding", false, "Flag to configure for GNN Pixel Seeding" };

◆ m_evtStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< AlgTool > >::m_evtStore

privateinherited

Pointer to StoreGate (event store by default).

Definition at line 390 of file AthCommonDataStore.h.

◆ m_gnnFeatureNamesVec

StringArrayProperty FPGATrackSimGNNEdgeClassifierTool::m_gnnFeatureNamesVec

private

Initial value:

{
            this, "GNNFeatureNames",
            {"r", "phi", "z", "eta", "cluster_r_1", "cluster_phi_1", "cluster_z_1", "cluster_eta_1", "cluster_r_2", "cluster_phi_2", "cluster_z_2", "cluster_eta_2"},
            "Feature names for the GNN model"}

Definition at line 59 of file FPGATrackSimGNNEdgeClassifierTool.h.

                                                {
            this, "GNNFeatureNames",
            {"r", "phi", "z", "eta", "cluster_r_1", "cluster_phi_1", "cluster_z_1", "cluster_eta_1", "cluster_r_2", "cluster_phi_2", "cluster_z_2", "cluster_eta_2"},
            "Feature names for the GNN model"};

◆ m_gnnFeatureNamesVec_pixelOnly

StringArrayProperty FPGATrackSimGNNEdgeClassifierTool::m_gnnFeatureNamesVec_pixelOnly

private

Initial value:

{
            this, "GNNFeatureNames",
            {"r", "phi", "z", "eta"},
            "Feature names for the GNN model"}

Definition at line 68 of file FPGATrackSimGNNEdgeClassifierTool.h.

                                                          {
            this, "GNNFeatureNames",
            {"r", "phi", "z", "eta"},
            "Feature names for the GNN model"};

◆ m_gnnFeatureScalesVec

FloatArrayProperty FPGATrackSimGNNEdgeClassifierTool::m_gnnFeatureScalesVec

private

Initial value:

{
            this, "GNNFeatureScales",
            {1000.0, 3.14159265359, 1000.0, 1.0, 1000.0, 3.14159265359, 1000.0, 1.0, 1000.0, 3.14159265359, 1000.0, 1.0},
            "Feature scales for the GNN model"}

Definition at line 63 of file FPGATrackSimGNNEdgeClassifierTool.h.

                                                {
            this, "GNNFeatureScales",
            {1000.0, 3.14159265359, 1000.0, 1.0, 1000.0, 3.14159265359, 1000.0, 1.0, 1000.0, 3.14159265359, 1000.0, 1.0},
            "Feature scales for the GNN model"};

◆ m_gnnFeatureScalesVec_pixelOnly

FloatArrayProperty FPGATrackSimGNNEdgeClassifierTool::m_gnnFeatureScalesVec_pixelOnly

private

Initial value:

{
            this, "GNNFeatureScales",
            {1000.0, 3.14159265359, 1000.0, 1.0},
            "Feature scales for the GNN model"}

Definition at line 72 of file FPGATrackSimGNNEdgeClassifierTool.h.

                                                          {
            this, "GNNFeatureScales",
            {1000.0, 3.14159265359, 1000.0, 1.0},
            "Feature scales for the GNN model"};

◆ m_GNNInferenceTool

ToolHandle<AthOnnx::IOnnxRuntimeInferenceTool> FPGATrackSimGNNEdgeClassifierTool::m_GNNInferenceTool {this, "GNNInferenceTool", "AthOnnx::OnnxRuntimeInferenceTool"}

private

Definition at line 47 of file FPGATrackSimGNNEdgeClassifierTool.h.

47{this, "GNNInferenceTool", "AthOnnx::OnnxRuntimeInferenceTool"};

◆ m_regionNum

Gaudi::Property<int> FPGATrackSimGNNEdgeClassifierTool::m_regionNum {this, "regionNum", -1, "Region number for this GNNEdgeClassifierTool"}

private

Definition at line 48 of file FPGATrackSimGNNEdgeClassifierTool.h.

48{this, "regionNum", -1, "Region number for this GNNEdgeClassifierTool"};

◆ m_varHandleArraysDeclared

bool AthCommonDataStore< AthCommonMsg< AlgTool > >::m_varHandleArraysDeclared

privateinherited

Definition at line 399 of file AthCommonDataStore.h.

◆ m_vhka

std::vector<SG::VarHandleKeyArray*> AthCommonDataStore< AthCommonMsg< AlgTool > >::m_vhka

privateinherited

Definition at line 398 of file AthCommonDataStore.h.

The documentation for this class was generated from the following files:

Public Member Functions

Protected Member Functions

Private Types

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ StoreGateSvc_t

Constructor & Destructor Documentation

◆ FPGATrackSimGNNEdgeClassifierTool()

Member Function Documentation

◆ computeEdgeFeatures()

◆ declareGaudiProperty()

◆ declareProperty()

◆ detStore()

◆ evtStore()

◆ extraDeps_update_handler()

◆ getEdgeFeatures()

◆ getEdgeList()

◆ getNodeFeatures()

◆ initialize()

◆ inputHandles()

◆ msg()

◆ msgLvl()

◆ outputHandles()

◆ regionNum()

◆ renounce()

◆ renounceArray()

◆ scoreEdges()

◆ sysInitialize()

◆ sysStart()

◆ updateVHKA()

Member Data Documentation

◆ m_detStore

◆ m_doGNNPixelSeeding

◆ m_evtStore

◆ m_gnnFeatureNamesVec

◆ m_gnnFeatureNamesVec_pixelOnly

◆ m_gnnFeatureScalesVec

◆ m_gnnFeatureScalesVec_pixelOnly

◆ m_GNNInferenceTool

◆ m_regionNum

◆ m_varHandleArraysDeclared

◆ m_vhka