Implementation of ONNX model score computation and decoration for Taus (GNTau)

Add tools and wrappers to run ONNX-based models for Tau objects. Details can be found in FTag software meeting presentation, but in short: a new class and tool are added to tauRecTools along with some new variable calculator functionalities to run model inference and decorate TauJets and TauTracks, and DerivationFrameworkTau + tauRec are modified to call the tools and decorate the DAOD TauJets (if one also decorates the DeepSetID at the moment).

Reconstruction/tauRec/python/TauConfigFlags.py

@@ -61,7 +61,7 @@ def createTauConfigFlags():
     tau_cfg.addFlag("Tau.TauJetDeepSetConfig_v2", ["tauid_1p_R22_dpst_noTrackScore.json", "tauid_2p_R22_dpst_noTrackScore.json", "tauid_3p_R22_dpst_noTrackScore.json"])
     tau_cfg.addFlag("Tau.TauJetDeepSetWP_v2", ["model_1p_R22_dpst_noTrackScore.root", "model_2p_R22_dpst_noTrackScore.root", "model_3p_R22_dpst_noTrackScore.root"])
     # GNTau ID tune file (need to add another version for noAux)
-    tau_cfg.addFlag("Tau.TauGNNConfig", ["GNTau_preval.onnx"])
+    tau_cfg.addFlag("Tau.TauGNNConfig", ["GNTau_preval.onnx","GNTau_noAux_preval.onnx"])
 
     # PanTau config flags
     from PanTauAlgs.PanTauConfigFlags import createPanTauConfigFlags