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AthONNX::JSSMLTool Class Reference

Tool using the ONNX Runtime C++ API to retrive constituents based model for boson jet tagging. More...

#include <JSSMLTool.h>

Inheritance diagram for AthONNX::JSSMLTool:
Collaboration diagram for AthONNX::JSSMLTool:

Public Member Functions

 JSSMLTool (const std::string &name)
 
virtual StatusCode initialize () override
 Function initialising the tool. More...
 
virtual double retrieveConstituentsScore (std::vector< TH2D > Images) const override
 Function executing the tool for a single event. More...
 
virtual double retrieveConstituentsScore (std::vector< std::vector< float >> constituents) const override
 
virtual double retrieveConstituentsScore (std::vector< std::vector< float >> constituents, std::vector< std::vector< std::vector< float >>> interactions) const override
 
virtual double retrieveConstituentsScore (std::vector< std::vector< float >> constituents, std::vector< std::vector< std::vector< float >>> interactions, std::vector< std::vector< float >> mask) const override
 
virtual double retrieveHighLevelScore (std::map< std::string, double > JSSVars) const override
 
std::vector< float > ReadJetImagePixels (std::vector< TH2D > Images) const
 
std::vector< float > ReadJSSInputs (std::map< std::string, double > JSSVars) const
 
std::vector< int > ReadOutputLabels () const
 
StatusCode SetScaler (std::map< std::string, std::vector< double >> scaler) override
 
virtual void print () const
 Print the state of the tool. More...
 
ServiceHandle< StoreGateSvc > & evtStore ()
 The standard StoreGateSvc (event store) Returns (kind of) a pointer to the StoreGateSvc. More...
 
const ServiceHandle< StoreGateSvc > & evtStore () const
 The standard StoreGateSvc (event store) Returns (kind of) a pointer to the StoreGateSvc. More...
 
const ServiceHandle< StoreGateSvc > & detStore () const
 The standard StoreGateSvc/DetectorStore Returns (kind of) a pointer to the StoreGateSvc. More...
 
virtual StatusCode sysInitialize () override
 Perform system initialization for an algorithm. More...
 
virtual StatusCode sysStart () override
 Handle START transition. More...
 
virtual std::vector< Gaudi::DataHandle * > inputHandles () const override
 Return this algorithm's input handles. More...
 
virtual std::vector< Gaudi::DataHandle * > outputHandles () const override
 Return this algorithm's output handles. More...
 
Gaudi::Details::PropertyBase & declareProperty (Gaudi::Property< T, V, H > &t)
 
Gaudi::Details::PropertyBase * declareProperty (const std::string &name, SG::VarHandleKey &hndl, const std::string &doc, const SG::VarHandleKeyType &)
 Declare a new Gaudi property. More...
 
Gaudi::Details::PropertyBase * declareProperty (const std::string &name, SG::VarHandleBase &hndl, const std::string &doc, const SG::VarHandleType &)
 Declare a new Gaudi property. More...
 
Gaudi::Details::PropertyBase * declareProperty (const std::string &name, SG::VarHandleKeyArray &hndArr, const std::string &doc, const SG::VarHandleKeyArrayType &)
 
Gaudi::Details::PropertyBase * declareProperty (const std::string &name, T &property, const std::string &doc, const SG::NotHandleType &)
 Declare a new Gaudi property. More...
 
Gaudi::Details::PropertyBase * declareProperty (const std::string &name, T &property, const std::string &doc="none")
 Declare a new Gaudi property. More...
 
void updateVHKA (Gaudi::Details::PropertyBase &)
 
MsgStream & msg () const
 
MsgStream & msg (const MSG::Level lvl) const
 
bool msgLvl (const MSG::Level lvl) const
 

Public Attributes

std::unique_ptr< Ort::Session > m_session
 
std::unique_ptr< Ort::Env > m_env
 
std::map< std::string, std::vector< double > > m_scaler
 
std::map< int, std::string > m_JSSInputMap
 

Protected Member Functions

void renounceArray (SG::VarHandleKeyArray &handlesArray)
 remove all handles from I/O resolution More...
 
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. More...
 

Private Types

typedef ServiceHandle< StoreGateSvcStoreGateSvc_t
 

Private Member Functions

Gaudi::Details::PropertyBase & declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleKeyType &)
 specialization for handling Gaudi::Property<SG::VarHandleKey> More...
 
Gaudi::Details::PropertyBase & declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleKeyArrayType &)
 specialization for handling Gaudi::Property<SG::VarHandleKeyArray> More...
 
Gaudi::Details::PropertyBase & declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleType &)
 specialization for handling Gaudi::Property<SG::VarHandleBase> More...
 
Gaudi::Details::PropertyBase & declareGaudiProperty (Gaudi::Property< T, V, H > &t, const SG::NotHandleType &)
 specialization for handling everything that's not a Gaudi::Property<SG::VarHandleKey> or a <SG::VarHandleKeyArray> More...
 

Private Attributes

std::string m_modelFileName
 Name of the model file to load. More...
 
std::string m_pixelFileName
 
std::string m_labelFileName
 
std::vector< int64_t > m_input_node_dims
 
size_t m_num_input_nodes {}
 
std::vector< const char * > m_input_node_names
 
std::vector< int64_t > m_output_node_dims
 
size_t m_num_output_nodes {}
 
std::vector< const char * > m_output_node_names
 
int m_nPixelsX {}
 
int m_nPixelsY {}
 
int m_nPixelsZ {}
 
int m_nvars {}
 
StoreGateSvc_t m_evtStore
 Pointer to StoreGate (event store by default) More...
 
StoreGateSvc_t m_detStore
 Pointer to StoreGate (detector store by default) More...
 
std::vector< SG::VarHandleKeyArray * > m_vhka
 
bool m_varHandleArraysDeclared
 

Detailed Description

Tool using the ONNX Runtime C++ API to retrive constituents based model for boson jet tagging.

this is inspired from the general athena example here: https://gitlab.cern.ch/atlas/athena/-/blob/21.2/Control/AthenaExamples/AthExOnnxRuntime/AthExOnnxRuntime/CxxApiAlgorithm.h

this is implementation is an extension from the one done in rel.21 https://gitlab.cern.ch/atlas/athena/-/tree/21.2/Reconstruction/Jet/AthOnnxRuntimeBJT as the plan is to move to use the central ONNX interface the tool has been merged with the BJT

monitoring jira ticket: https://its.cern.ch/jira/browse/ATLJETMET-1893

Author
Antonio Giannini anton.nosp@m.io.g.nosp@m.ianni.nosp@m.ni@c.nosp@m.ern.c.nosp@m.h

Definition at line 46 of file JSSMLTool.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

◆ JSSMLTool()

AthONNX::JSSMLTool::JSSMLTool ( const std::string &  name)

Definition at line 73 of file JSSMLTool.cxx.

73  :
74  AsgTool(name)
75  {
76  declareProperty("ModelPath", m_modelFileName);
77  declareProperty("nPixelsX", m_nPixelsX);
78  declareProperty("nPixelsY", m_nPixelsY);
79  declareProperty("nPixelsZ", m_nPixelsZ);
80  }

Member Function Documentation

◆ declareGaudiProperty() [1/4]

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

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

Definition at line 170 of file AthCommonDataStore.h.

172  {
173  return *AthCommonDataStore<PBASE>::declareProperty(hndl.name(),
174  hndl.value(),
175  hndl.documentation());
176 
177  }

◆ declareGaudiProperty() [2/4]

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.

158  {
159  return *AthCommonDataStore<PBASE>::declareProperty(hndl.name(),
160  hndl.value(),
161  hndl.documentation());
162 
163  }

◆ declareGaudiProperty() [3/4]

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

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

Definition at line 184 of file AthCommonDataStore.h.

186  {
187  return *AthCommonDataStore<PBASE>::declareProperty(hndl.name(),
188  hndl.value(),
189  hndl.documentation());
190  }

◆ declareGaudiProperty() [4/4]

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

specialization for handling everything that's not a Gaudi::Property<SG::VarHandleKey> or a <SG::VarHandleKeyArray>

Definition at line 199 of file AthCommonDataStore.h.

200  {
201  return PBASE::declareProperty(t);
202  }

◆ declareProperty() [1/6]

Gaudi::Details::PropertyBase* AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( const std::string &  name,
SG::VarHandleBase hndl,
const std::string &  doc,
const SG::VarHandleType  
)
inlineinherited

Declare a new Gaudi property.

Parameters
nameName of the property.
hndlObject holding the property value.
docDocumentation string for the property.

This is the version for types that derive from SG::VarHandleBase. The property value object is put on the input and output lists as appropriate; then we forward to the base class.

Definition at line 245 of file AthCommonDataStore.h.

249  {
250  this->declare(hndl.vhKey());
251  hndl.vhKey().setOwner(this);
252 
253  return PBASE::declareProperty(name,hndl,doc);
254  }

◆ declareProperty() [2/6]

Gaudi::Details::PropertyBase* AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( const std::string &  name,
SG::VarHandleKey hndl,
const std::string &  doc,
const SG::VarHandleKeyType  
)
inlineinherited

Declare a new Gaudi property.

Parameters
nameName of the property.
hndlObject holding the property value.
docDocumentation string for the property.

This is the version for types that derive from SG::VarHandleKey. The property value object is put on the input and output lists as appropriate; then we forward to the base class.

Definition at line 221 of file AthCommonDataStore.h.

225  {
226  this->declare(hndl);
227  hndl.setOwner(this);
228 
229  return PBASE::declareProperty(name,hndl,doc);
230  }

◆ declareProperty() [3/6]

Gaudi::Details::PropertyBase* AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( const std::string &  name,
SG::VarHandleKeyArray hndArr,
const std::string &  doc,
const SG::VarHandleKeyArrayType  
)
inlineinherited

Definition at line 259 of file AthCommonDataStore.h.

263  {
264 
265  // std::ostringstream ost;
266  // ost << Algorithm::name() << " VHKA declareProp: " << name
267  // << " size: " << hndArr.keys().size()
268  // << " mode: " << hndArr.mode()
269  // << " vhka size: " << m_vhka.size()
270  // << "\n";
271  // debug() << ost.str() << endmsg;
272 
273  hndArr.setOwner(this);
274  m_vhka.push_back(&hndArr);
275 
276  Gaudi::Details::PropertyBase* p = PBASE::declareProperty(name, hndArr, doc);
277  if (p != 0) {
278  p->declareUpdateHandler(&AthCommonDataStore<PBASE>::updateVHKA, this);
279  } else {
280  ATH_MSG_ERROR("unable to call declareProperty on VarHandleKeyArray "
281  << name);
282  }
283 
284  return p;
285 
286  }

◆ declareProperty() [4/6]

Gaudi::Details::PropertyBase* AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( const std::string &  name,
T &  property,
const std::string &  doc,
const SG::NotHandleType  
)
inlineinherited

Declare a new Gaudi property.

Parameters
nameName of the property.
propertyObject holding the property value.
docDocumentation string for the property.

This is the generic version, for types that do not derive from SG::VarHandleKey. It just forwards to the base class version of declareProperty.

Definition at line 333 of file AthCommonDataStore.h.

337  {
338  return PBASE::declareProperty(name, property, doc);
339  }

◆ declareProperty() [5/6]

Gaudi::Details::PropertyBase* AthCommonDataStore< AthCommonMsg< AlgTool > >::declareProperty ( const std::string &  name,
T &  property,
const std::string &  doc = "none" 
)
inlineinherited

Declare a new Gaudi property.

Parameters
nameName of the property.
propertyObject holding the property value.
docDocumentation string for the property.

This dispatches to either the generic declareProperty or the one for VarHandle/Key/KeyArray.

Definition at line 352 of file AthCommonDataStore.h.

355  {
356  typedef typename SG::HandleClassifier<T>::type htype;
357  return declareProperty (name, property, doc, htype());
358  }

◆ declareProperty() [6/6]

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

Definition at line 145 of file AthCommonDataStore.h.

145  {
146  typedef typename SG::HandleClassifier<T>::type htype;
148  }

◆ 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; }

◆ evtStore() [1/2]

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; }

◆ evtStore() [2/2]

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

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

Definition at line 90 of file AthCommonDataStore.h.

90 { return m_evtStore; }

◆ 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

◆ getKey()

SG::sgkey_t asg::AsgTool::getKey ( const void *  ptr) const
inherited

Get the (hashed) key of an object that is in the event store.

This is a bit of a special one. StoreGateSvc and xAOD::TEvent both provide ways for getting the SG::sgkey_t key for an object that is in the store, based on a bare pointer. But they provide different interfaces for doing so.

In order to allow tools to efficiently perform this operation, they can use this helper function.

See also
asg::AsgTool::getName
Parameters
ptrThe bare pointer to the object that the event store should know about
Returns
The hashed key of the object in the store. If not found, an invalid (zero) key.

Definition at line 119 of file AsgTool.cxx.

119  {
120 
121 #ifdef XAOD_STANDALONE
122  // In case we use @c xAOD::TEvent, we have a direct function call
123  // for this.
124  return evtStore()->event()->getKey( ptr );
125 #else
126  const SG::DataProxy* proxy = evtStore()->proxy( ptr );
127  return ( proxy == nullptr ? 0 : proxy->sgkey() );
128 #endif // XAOD_STANDALONE
129  }

◆ getName()

const std::string & asg::AsgTool::getName ( const void *  ptr) const
inherited

Get the name of an object that is / should be in the event store.

This is a bit of a special one. StoreGateSvc and xAOD::TEvent both provide ways for getting the std::string name for an object that is in the store, based on a bare pointer. But they provide different interfaces for doing so.

In order to allow tools to efficiently perform this operation, they can use this helper function.

See also
asg::AsgTool::getKey
Parameters
ptrThe bare pointer to the object that the event store should know about
Returns
The string name of the object in the store. If not found, an empty string.

Definition at line 106 of file AsgTool.cxx.

106  {
107 
108 #ifdef XAOD_STANDALONE
109  // In case we use @c xAOD::TEvent, we have a direct function call
110  // for this.
111  return evtStore()->event()->getName( ptr );
112 #else
113  const SG::DataProxy* proxy = evtStore()->proxy( ptr );
114  static const std::string dummy = "";
115  return ( proxy == nullptr ? dummy : proxy->name() );
116 #endif // XAOD_STANDALONE
117  }

◆ getProperty()

template<class T >
const T* asg::AsgTool::getProperty ( const std::string &  name) const
inherited

Get one of the tool's properties.

◆ initialize()

StatusCode AthONNX::JSSMLTool::initialize ( )
overridevirtual

Function initialising the tool.

Reimplemented from asg::AsgTool.

Definition at line 83 of file JSSMLTool.cxx.

83  {
84 
85  // Access the service.
86  // Find the model file.
87  ATH_MSG_INFO( "Using model file: " << m_modelFileName );
88 
89  // Set up the ONNX Runtime session.
90  Ort::SessionOptions sessionOptions;
91  sessionOptions.SetIntraOpNumThreads( 1 );
92  sessionOptions.SetGraphOptimizationLevel( ORT_ENABLE_BASIC );
93 
94  // according to the discussion here https://its.cern.ch/jira/browse/ATLASG-2866
95  // this should reduce memory use while slowing things down slightly
96  sessionOptions.DisableCpuMemArena();
97 
98  // declare an allocator
99  Ort::AllocatorWithDefaultOptions allocator;
100 
101  // create session and load model into memory
102  m_env = std::make_unique< Ort::Env >(ORT_LOGGING_LEVEL_WARNING, "");
103  m_session = std::make_unique< Ort::Session >( *m_env,
104  m_modelFileName.c_str(),
105  sessionOptions );
106 
107  ATH_MSG_INFO( "Created the ONNX Runtime session" );
108 
109  m_num_input_nodes = m_session->GetInputCount();
111 
112  for( std::size_t i = 0; i < m_num_input_nodes; i++ ) {
113  // print input node names
114  char* input_name = m_session->GetInputNameAllocated(i, allocator).release();
115  ATH_MSG_DEBUG("Input "<<i<<" : "<<" name = "<<input_name);
116  m_input_node_names[i] = input_name;
117  // print input node types
118  Ort::TypeInfo type_info = m_session->GetInputTypeInfo(i);
119  auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
120  ONNXTensorElementDataType type = tensor_info.GetElementType();
121  ATH_MSG_DEBUG("Input "<<i<<" : "<<" type = "<<type);
122 
123  // print input shapes/dims
124  m_input_node_dims = tensor_info.GetShape();
125  ATH_MSG_DEBUG("Input "<<i<<" : num_dims = "<<m_input_node_dims.size());
126  for (std::size_t j = 0; j < m_input_node_dims.size(); j++){
127  if(m_input_node_dims[j]<0)
128  m_input_node_dims[j] =1;
129  ATH_MSG_DEBUG("Input"<<i<<" : dim "<<j<<" = "<<m_input_node_dims[j]);
130  }
131  }
132 
133  m_num_output_nodes = m_session->GetOutputCount();
135 
136  for( std::size_t i = 0; i < m_num_output_nodes; i++ ) {
137  // print output node names
138  char* output_name = m_session->GetOutputNameAllocated(i, allocator).release();
139  ATH_MSG_DEBUG("Output "<<i<<" : "<<" name = "<<output_name);
140  m_output_node_names[i] = output_name;
141 
142  Ort::TypeInfo type_info = m_session->GetOutputTypeInfo(i);
143  auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
144  ONNXTensorElementDataType type = tensor_info.GetElementType();
145  ATH_MSG_DEBUG("Output "<<i<<" : "<<" type = "<<type);
146 
147  // print output shapes/dims
148  m_output_node_dims = tensor_info.GetShape();
149  ATH_MSG_INFO("Output "<<i<<" : num_dims = "<<m_output_node_dims.size());
150  for (std::size_t j = 0; j < m_output_node_dims.size(); j++){
151  if(m_output_node_dims[j]<0)
152  m_output_node_dims[j] =1;
153  ATH_MSG_INFO("Output"<<i<<" : dim "<<j<<" = "<<m_output_node_dims[j]);
154  }
155  }
156 
157  // Return gracefully.
158  return StatusCode::SUCCESS;
159  } // end initialize ---

◆ 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() [1/2]

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

Definition at line 24 of file AthCommonMsg.h.

24  {
25  return this->msgStream();
26  }

◆ msg() [2/2]

MsgStream& AthCommonMsg< AlgTool >::msg ( const MSG::Level  lvl) const
inlineinherited

Definition at line 27 of file AthCommonMsg.h.

27  {
28  return this->msgStream(lvl);
29  }

◆ msg_level_name()

const std::string & asg::AsgTool::msg_level_name ( ) const
inherited

A deprecated function for getting the message level's name.

Instead of using this, weirdly named function, user code should get the string name of the current minimum message level (in case they really need it...), with:

MSG::name( msg().level() )

This function's name doesn't follow the ATLAS coding rules, and as such will be removed in the not too distant future.

Returns
The string name of the current minimum message level that's printed

Definition at line 101 of file AsgTool.cxx.

101  {
102 
103  return MSG::name( msg().level() );
104  }

◆ msgLvl()

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

Definition at line 30 of file AthCommonMsg.h.

30  {
31  return this->msgLevel(lvl);
32  }

◆ 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.

◆ print()

void asg::AsgTool::print ( ) const
virtualinherited

◆ ReadJetImagePixels()

std::vector< float > AthONNX::JSSMLTool::ReadJetImagePixels ( std::vector< TH2D >  Images) const

Definition at line 17 of file JSSMLTool.cxx.

18  {
19 
20  int n_rows = m_nPixelsX;
21  int n_cols = m_nPixelsY;
22  int n_colors = m_nPixelsZ;
23 
24  std::vector<float> input_tensor_values(n_rows*n_cols*n_colors);
25 
26  for(int iRow=0; iRow<n_rows; ++iRow){
27  for(int iColumn=0; iColumn<n_cols; ++iColumn){
28  for(int iColor=0; iColor<n_colors; ++iColor){
29  input_tensor_values[ (n_colors*n_cols*iRow) + iColumn*n_colors + iColor] = Images[iColor].GetBinContent(iRow+1, iColumn+1);
30  }
31  }
32  }
33 
34  return input_tensor_values;
35  }

◆ ReadJSSInputs()

std::vector< float > AthONNX::JSSMLTool::ReadJSSInputs ( std::map< std::string, double >  JSSVars) const

Definition at line 39 of file JSSMLTool.cxx.

40  {
41 
42  std::vector<float> input_tensor_values(m_nvars);
43 
44  // apply features scaling
45  for(const auto & var : JSSVars){
46  double mean = m_scaler.find(var.first)->second[0];
47  double std = m_scaler.find(var.first)->second[1];
48  JSSVars[var.first] = (var.second - mean) / std;
49  }
50 
51  // then dump it to a vector
52  for(int v=0; v<m_nvars; ++v){
53  std::string name = m_JSSInputMap.find(v)->second;
54  input_tensor_values[v] = JSSVars[name];
55  }
56 
57  return input_tensor_values;
58  }

◆ ReadOutputLabels()

std::vector< int > AthONNX::JSSMLTool::ReadOutputLabels ( ) const

Definition at line 63 of file JSSMLTool.cxx.

64  {
65  std::vector<int> output_tensor_values(1);
66 
67  output_tensor_values[0] = 1;
68 
69  return output_tensor_values;
70  }

◆ 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.

381  {
382  h.renounce();
383  PBASE::renounce (h);
384  }

◆ 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.

364  {
365  handlesArray.renounce();
366  }

◆ retrieveConstituentsScore() [1/4]

double AthONNX::JSSMLTool::retrieveConstituentsScore ( std::vector< std::vector< float >>  constituents) const
overridevirtual

Implements AthONNX::IJSSMLTool.

Definition at line 209 of file JSSMLTool.cxx.

209  {
210 
211  // the format of the packed constituents is:
212  // constituents.size() ---> 4, for example, (m pT, eta, phi)
213  // constituents.at(0) ---> number of constituents
214  // the packing can be done for any kind of low level inputs
215  // i.e. PFO/UFO constituents, topo-towers, tracks, etc
216  // they can be concatened one after the other in case of multiple inputs
217 
218  //*************************************************************************
219  // Score the model using sample data, and inspect values
220  // loading input data
221 
222  std::vector<int> output_tensor_values_ = ReadOutputLabels();
223 
224  int testSample = 0;
225 
226  //preparing container to hold output data
227  int output_tensor_values = output_tensor_values_[testSample];
228 
229  // prepare the inputs
230  auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
231  std::vector<Ort::Value> input_tensors;
232  for (long unsigned int i=0; i<constituents.size(); i++) {
233 
234  // test
235  std::vector<int64_t> const_dim = {1, static_cast<int64_t>(constituents.at(i).size())};
236 
237  input_tensors.push_back(Ort::Value::CreateTensor<float>(
238  memory_info,
239  constituents.at(i).data(), constituents.at(i).size(), const_dim.data(), const_dim.size()
240  )
241  );
242  }
243 
244  auto output_tensors = m_session->Run(Ort::RunOptions{nullptr}, m_input_node_names.data(), input_tensors.data(), m_input_node_names.size(), m_output_node_names.data(), m_output_node_names.size());
245  assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
246 
247  // Get pointer to output tensor float values
248  float* floatarr = output_tensors.front().GetTensorMutableData<float>();
249  int arrSize = sizeof(*floatarr)/sizeof(floatarr[0]);
250 
251  // show true label for the test input
252  ATH_MSG_DEBUG("Label for the input test data = "<<output_tensor_values);
253  float ConstScore = -999;
254  int max_index = 0;
255  for (int i = 0; i < arrSize; i++){
256  ATH_MSG_VERBOSE("Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
257  ATH_MSG_VERBOSE(" +++ Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
258  if (ConstScore<floatarr[i]){
259  ConstScore = floatarr[i];
260  max_index = i;
261  }
262  }
263  ATH_MSG_DEBUG("Class: "<<max_index<<" has the highest score: "<<floatarr[max_index]);
264 
265  return ConstScore;
266 
267  } // end retrieve constituents score ----

◆ retrieveConstituentsScore() [2/4]

double AthONNX::JSSMLTool::retrieveConstituentsScore ( std::vector< std::vector< float >>  constituents,
std::vector< std::vector< std::vector< float >>>  interactions 
) const
overridevirtual

Implements AthONNX::IJSSMLTool.

Definition at line 270 of file JSSMLTool.cxx.

270  {
271 
272  // the format of the constituents/interaction variables is:
273  // constituents ---> (nConstituents + nTowers, 7)
274  // interactions ---> (i, j, 4), with i, j in {nConstituents + nTowers}
275  // the packing can be done for any kind of low level inputs
276  // i.e. PFO/UFO constituents, topo-towers, tracks, etc
277  // they can be concatened one after the other in case of multiple inputs
278 
279  //*************************************************************************
280  // Score the model using sample data, and inspect values
281  // loading input data
282 
283  std::vector<int> output_tensor_values_ = ReadOutputLabels();
284 
285  int testSample = 0;
286 
287  //preparing container to hold output data
288  int output_tensor_values = output_tensor_values_[testSample];
289 
290  // prepare the inputs
291  auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
292  std::vector<Ort::Value> input_tensors;
293 
294  // unroll the inputs
295  std::vector<float> constituents_values; //(constituents.size()*7);
296  for (long unsigned int i=0; i<constituents.size(); i++) {
297  for (long unsigned int j=0; j<7; j++) {
298  constituents_values.push_back(constituents.at(i).at(j));
299  }
300  }
301 
302  std::vector<float> interactions_values; //(interactions.size()*interactions.size()*4);
303  for (long unsigned int i=0; i<interactions.size(); i++) {
304  for (long unsigned int k=0; k<interactions.size(); k++) {
305  for (long unsigned int j=0; j<4; j++) {
306  interactions_values.push_back(interactions.at(i).at(k).at(j));
307  }
308  }
309  }
310 
311  std::vector<int64_t> const_dim = {1, static_cast<int64_t>(constituents.size()), 7};
312  input_tensors.push_back(Ort::Value::CreateTensor<float>(
313  memory_info,
314  constituents_values.data(), constituents_values.size(), const_dim.data(), const_dim.size()
315  )
316  );
317 
318  std::vector<int64_t> inter_dim = {1, static_cast<int64_t>(constituents.size()), static_cast<int64_t>(constituents.size()), 4};
319  input_tensors.push_back(Ort::Value::CreateTensor<float>(
320  memory_info,
321  interactions_values.data(), interactions_values.size(), inter_dim.data(), inter_dim.size()
322  )
323  );
324 
325  auto output_tensors = m_session->Run(Ort::RunOptions{nullptr}, m_input_node_names.data(), input_tensors.data(), m_input_node_names.size(), m_output_node_names.data(), m_output_node_names.size());
326  assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
327 
328  // Get pointer to output tensor float values
329  float* floatarr = output_tensors.front().GetTensorMutableData<float>();
330  int arrSize = sizeof(*floatarr)/sizeof(floatarr[0]);
331 
332  // show true label for the test input
333  ATH_MSG_DEBUG("Label for the input test data = "<<output_tensor_values);
334  float ConstScore = -999;
335  int max_index = 0;
336  for (int i = 0; i < arrSize; i++){
337  ATH_MSG_VERBOSE("Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
338  ATH_MSG_VERBOSE(" +++ Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
339  if (ConstScore<floatarr[i]){
340  ConstScore = floatarr[i];
341  max_index = i;
342  }
343  }
344  ATH_MSG_DEBUG("Class: "<<max_index<<" has the highest score: "<<floatarr[max_index]);
345 
346  return ConstScore;
347 
348  } // end retrieve constituents score ----

◆ retrieveConstituentsScore() [3/4]

double AthONNX::JSSMLTool::retrieveConstituentsScore ( std::vector< std::vector< float >>  constituents,
std::vector< std::vector< std::vector< float >>>  interactions,
std::vector< std::vector< float >>  mask 
) const
overridevirtual

Implements AthONNX::IJSSMLTool.

Definition at line 351 of file JSSMLTool.cxx.

351  {
352 
353  // the format of the constituents/interaction variables is:
354  // constituents ---> (nConstituents, 7)
355  // interactions ---> (i, j, 4), with i, j in {nConstituents}
356  // masks ---> (nConstituents, 1)
357  // the packing can be done for any kind of low level inputs
358  // i.e. PFO/UFO constituents, topo-towers, tracks, etc
359  // they can be concatened one after the other in case of multiple inputs
360 
361  //*************************************************************************
362  // Score the model using sample data, and inspect values
363  // loading input data
364 
365  std::vector<int> output_tensor_values_ = ReadOutputLabels();
366 
367  int testSample = 0;
368 
369  //preparing container to hold output data
370  int output_tensor_values = output_tensor_values_[testSample];
371 
372  // prepare the inputs
373  auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
374  std::vector<Ort::Value> input_tensors;
375 
376  // unroll the inputs
377  std::vector<float> constituents_values;
378  for (long unsigned int j=0; j<7; j++) {
379  for (long unsigned int i=0; i<constituents.size(); i++) {
380  constituents_values.push_back(constituents.at(i).at(j));
381  }
382  }
383 
384  std::vector<float> interactions_values;
385  for (long unsigned int k=0; k<4; k++) {
386  for (long unsigned int i=0; i<interactions.size(); i++) {
387  for (long unsigned int j=0; j<interactions.size(); j++) {
388  interactions_values.push_back(interactions.at(i).at(j).at(k));
389  }
390  }
391  }
392 
393  std::vector<float> mask_values;
394  for (long unsigned int j=0; j<1; j++) {
395  for (long unsigned int i=0; i<mask.size(); i++) {
396  mask_values.push_back(mask.at(i).at(j));
397  }
398  }
399 
400  std::vector<int64_t> const_dim = {1, 7, static_cast<int64_t>(constituents.size())};
401  input_tensors.push_back(Ort::Value::CreateTensor<float>(
402  memory_info,
403  constituents_values.data(), constituents_values.size(), const_dim.data(), const_dim.size()
404  )
405  );
406 
407  std::vector<int64_t> inter_dim = {1, 4, static_cast<int64_t>(interactions.size()), static_cast<int64_t>(interactions.size())};
408  input_tensors.push_back(Ort::Value::CreateTensor<float>(
409  memory_info,
410  interactions_values.data(), interactions_values.size(), inter_dim.data(), inter_dim.size()
411  )
412  );
413 
414  std::vector<int64_t> mask_dim = {1, 1, static_cast<int64_t>(mask.size())};
415  input_tensors.push_back(Ort::Value::CreateTensor<float>(
416  memory_info,
417  mask_values.data(), mask_values.size(), mask_dim.data(), mask_dim.size()
418  )
419  );
420 
421  auto output_tensors = m_session->Run(Ort::RunOptions{nullptr}, m_input_node_names.data(), input_tensors.data(), m_input_node_names.size(), m_output_node_names.data(), m_output_node_names.size());
422  assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
423 
424  // Get pointer to output tensor float values
425  float* floatarr = output_tensors.front().GetTensorMutableData<float>();
426  int arrSize = sizeof(*floatarr)/sizeof(floatarr[0]);
427 
428  // show true label for the test input
429  ATH_MSG_DEBUG("Label for the input test data = "<<output_tensor_values);
430  float ConstScore = -999;
431  int max_index = 0;
432  for (int i = 0; i < arrSize; i++){
433  ATH_MSG_VERBOSE("Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
434  ATH_MSG_VERBOSE(" +++ Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
435  if (ConstScore<floatarr[i]){
436  ConstScore = floatarr[i];
437  max_index = i;
438  }
439  }
440  ATH_MSG_DEBUG("Class: "<<max_index<<" has the highest score: "<<floatarr[max_index]);
441 
442  return ConstScore;
443 
444  } // end retrieve constituents score ----

◆ retrieveConstituentsScore() [4/4]

double AthONNX::JSSMLTool::retrieveConstituentsScore ( std::vector< TH2D >  Images) const
overridevirtual

Function executing the tool for a single event.

Implements AthONNX::IJSSMLTool.

Definition at line 162 of file JSSMLTool.cxx.

162  {
163 
164  //*************************************************************************
165  // Score the model using sample data, and inspect values
166 
167  // preparing container to hold input data
168  size_t input_tensor_size = m_nPixelsX*m_nPixelsY*m_nPixelsZ;
169  std::vector<float> input_tensor_values(input_tensor_size);
170 
171  // loading input data
172  input_tensor_values = ReadJetImagePixels(Images);
173 
174  // preparing container to hold output data
175  int testSample = 0;
176  std::vector<int> output_tensor_values_ = ReadOutputLabels();
177  int output_tensor_values = output_tensor_values_[testSample];
178 
179  // create input tensor object from data values
180  auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
181  Ort::Value input_tensor = Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, m_input_node_dims.data(), m_input_node_dims.size());
182  assert(input_tensor.IsTensor());
183 
184  auto output_tensors = m_session->Run(Ort::RunOptions{nullptr}, m_input_node_names.data(), &input_tensor, m_input_node_names.size(), m_output_node_names.data(), m_output_node_names.size());
185  assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
186 
187  // Get pointer to output tensor float values
188  float* floatarr = output_tensors.front().GetTensorMutableData<float>();
189  int arrSize = sizeof(*floatarr)/sizeof(floatarr[0]);
190 
191  // show true label for the test input
192  ATH_MSG_DEBUG("Label for the input test data = "<<output_tensor_values);
193  float ConstScore = -999;
194  int max_index = 0;
195  for (int i = 0; i < arrSize; i++){
196  ATH_MSG_VERBOSE("Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
197  if (ConstScore<floatarr[i]){
198  ConstScore = floatarr[i];
199  max_index = i;
200  }
201  }
202  ATH_MSG_DEBUG("Class: "<<max_index<<" has the highest score: "<<floatarr[max_index]);
203 
204  return ConstScore;
205 
206  } // end retrieve CNN score ----

◆ retrieveHighLevelScore()

double AthONNX::JSSMLTool::retrieveHighLevelScore ( std::map< std::string, double >  JSSVars) const
overridevirtual

Implements AthONNX::IJSSMLTool.

Definition at line 447 of file JSSMLTool.cxx.

447  {
448 
449  //*************************************************************************
450  // Score the model using sample data, and inspect values
451 
452  //preparing container to hold input data
453  size_t input_tensor_size = m_nvars;
454  std::vector<float> input_tensor_values(m_nvars);
455 
456  // loading input data
457  input_tensor_values = ReadJSSInputs(JSSVars);
458 
459  // preparing container to hold output data
460  int testSample = 0;
461  std::vector<int> output_tensor_values_ = ReadOutputLabels();
462  int output_tensor_values = output_tensor_values_[testSample];
463 
464  // create input tensor object from data values
465  auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
466 
467  // we need a multiple tensor input structure for DisCo model
468  Ort::Value input1 = Ort::Value::CreateTensor<float>(memory_info, const_cast<float*>(input_tensor_values.data()), input_tensor_size, m_input_node_dims.data(), m_input_node_dims.size());
469  std::vector<float> empty = {1.};
470  Ort::Value input2 = Ort::Value::CreateTensor<float>(memory_info, empty.data(), 1, m_input_node_dims.data(), m_input_node_dims.size());
471  Ort::Value input3 = Ort::Value::CreateTensor<float>(memory_info, empty.data(), 1, m_input_node_dims.data(), m_input_node_dims.size());
472  Ort::Value input4 = Ort::Value::CreateTensor<float>(memory_info, empty.data(), 1, m_input_node_dims.data(), m_input_node_dims.size());
473  std::vector<Ort::Value> input_tensor;
474  std::vector<int64_t> aaa = {1, m_nvars};
475  input_tensor.emplace_back(
476  Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, aaa.data(), aaa.size())
477  );
478  input_tensor.emplace_back(
479  Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, m_input_node_dims.data(), m_input_node_dims.size())
480  );
481  input_tensor.emplace_back(
482  Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, m_input_node_dims.data(), m_input_node_dims.size())
483  );
484  input_tensor.emplace_back(
485  Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, m_input_node_dims.data(), m_input_node_dims.size())
486  );
487 
488  auto output_tensors = m_session->Run(Ort::RunOptions{nullptr}, m_input_node_names.data(), input_tensor.data(), m_input_node_names.size(), m_output_node_names.data(), m_output_node_names.size());
489  assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
490 
491  // Get pointer to output tensor float values
492  float* floatarr = output_tensors.front().GetTensorMutableData<float>();
493  int arrSize = sizeof(*floatarr)/sizeof(floatarr[0]);
494 
495  // show true label for the test input
496  ATH_MSG_DEBUG("Label for the input test data = "<<output_tensor_values);
497  float HLScore = -999;
498  int max_index = 0;
499  for (int i = 0; i < arrSize; i++){
500  ATH_MSG_VERBOSE("Score for class "<<i<<" = "<<floatarr[i]<<std::endl);
501  if (HLScore<floatarr[i]){
502  HLScore = floatarr[i];
503  max_index = i;
504  }
505  }
506  ATH_MSG_DEBUG("Class: "<<max_index<<" has the highest score: "<<floatarr[max_index]);
507 
508  return HLScore;
509 
510  } // end retrieve HighLevel score ----

◆ SetScaler()

StatusCode AthONNX::JSSMLTool::SetScaler ( std::map< std::string, std::vector< double >>  scaler)
overridevirtual

Implements AthONNX::IJSSMLTool.

Definition at line 513 of file JSSMLTool.cxx.

513  {
514  m_scaler = scaler;
515 
516  // ToDo:
517  // this will have an overriding config as property
518  m_JSSInputMap = {
519  {0,"pT"}, {1,"CNN"}, {2,"D2"}, {3,"nTracks"}, {4,"ZCut12"},
520  {5,"Tau1_wta"}, {6,"Tau2_wta"}, {7,"Tau3_wta"},
521  {8,"KtDR"}, {9,"Split12"}, {10,"Split23"},
522  {11,"ECF1"}, {12,"ECF2"}, {13,"ECF3"},
523  {14,"Angularity"}, {15,"FoxWolfram0"}, {16,"FoxWolfram2"},
524  {17,"Aplanarity"}, {18,"PlanarFlow"}, {19,"Qw"},
525  };
526  m_nvars = m_JSSInputMap.size();
527 
528  return StatusCode::SUCCESS;
529  }

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

◆ 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.

308  {
309  // debug() << "updateVHKA for property " << p.name() << " " << p.toString()
310  // << " size: " << m_vhka.size() << endmsg;
311  for (auto &a : m_vhka) {
312  std::vector<SG::VarHandleKey*> keys = a->keys();
313  for (auto k : keys) {
314  k->setOwner(this);
315  }
316  }
317  }

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_env

std::unique_ptr< Ort::Env > AthONNX::JSSMLTool::m_env

Definition at line 73 of file JSSMLTool.h.

◆ 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_input_node_dims

std::vector<int64_t> AthONNX::JSSMLTool::m_input_node_dims
private

Definition at line 86 of file JSSMLTool.h.

◆ m_input_node_names

std::vector<const char*> AthONNX::JSSMLTool::m_input_node_names
private

Definition at line 88 of file JSSMLTool.h.

◆ m_JSSInputMap

std::map<int, std::string> AthONNX::JSSMLTool::m_JSSInputMap

Definition at line 76 of file JSSMLTool.h.

◆ m_labelFileName

std::string AthONNX::JSSMLTool::m_labelFileName
private

Definition at line 83 of file JSSMLTool.h.

◆ m_modelFileName

std::string AthONNX::JSSMLTool::m_modelFileName
private

Name of the model file to load.

Definition at line 81 of file JSSMLTool.h.

◆ m_nPixelsX

int AthONNX::JSSMLTool::m_nPixelsX {}
private

Definition at line 96 of file JSSMLTool.h.

◆ m_nPixelsY

int AthONNX::JSSMLTool::m_nPixelsY {}
private

Definition at line 96 of file JSSMLTool.h.

◆ m_nPixelsZ

int AthONNX::JSSMLTool::m_nPixelsZ {}
private

Definition at line 96 of file JSSMLTool.h.

◆ m_num_input_nodes

size_t AthONNX::JSSMLTool::m_num_input_nodes {}
private

Definition at line 87 of file JSSMLTool.h.

◆ m_num_output_nodes

size_t AthONNX::JSSMLTool::m_num_output_nodes {}
private

Definition at line 92 of file JSSMLTool.h.

◆ m_nvars

int AthONNX::JSSMLTool::m_nvars {}
private

Definition at line 98 of file JSSMLTool.h.

◆ m_output_node_dims

std::vector<int64_t> AthONNX::JSSMLTool::m_output_node_dims
private

Definition at line 91 of file JSSMLTool.h.

◆ m_output_node_names

std::vector<const char*> AthONNX::JSSMLTool::m_output_node_names
private

Definition at line 93 of file JSSMLTool.h.

◆ m_pixelFileName

std::string AthONNX::JSSMLTool::m_pixelFileName
private

Definition at line 82 of file JSSMLTool.h.

◆ m_scaler

std::map<std::string, std::vector<double> > AthONNX::JSSMLTool::m_scaler

Definition at line 75 of file JSSMLTool.h.

◆ m_session

std::unique_ptr< Ort::Session > AthONNX::JSSMLTool::m_session

Definition at line 72 of file JSSMLTool.h.

◆ 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:
AthONNX::JSSMLTool::m_nPixelsX
int m_nPixelsX
Definition: JSSMLTool.h:96
beamspotnt.var
var
Definition: bin/beamspotnt.py:1393
AthONNX::JSSMLTool::m_nPixelsY
int m_nPixelsY
Definition: JSSMLTool.h:96
mean
void mean(std::vector< double > &bins, std::vector< double > &values, const std::vector< std::string > &files, const std::string &histname, const std::string &tplotname, const std::string &label="")
Definition: dependence.cxx:254
StateLessPT_NewConfig.proxy
proxy
Definition: StateLessPT_NewConfig.py:407
ATH_MSG_INFO
#define ATH_MSG_INFO(x)
Definition: AthMsgStreamMacros.h:31
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