InferenceConfig.py

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# Copyright (C) 2002-2025 CERN for the benefit of the ATLAS collaboration
 
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
from AthenaConfiguration.ComponentFactory import CompFactory
 
def GraphInferenceAlgCfg(flags, name = "GraphInferenceAlg", **kwargs):
    result  = ComponentAccumulator()
    the_alg = CompFactory.MuonML.InferenceAlg(name, **kwargs)
    result.addEventAlgo(the_alg, primary = True)
    return result
 
def GraphSPFilterToolCfg(flags, name ="GraphSPFilterTool", **kwargs):
    
    from AthOnnxComps.OnnxRuntimeSessionConfig import OnnxRuntimeSessionToolCfg
 
    result = ComponentAccumulator()
    kwargs.setdefault("ModelSession", result.popToolsAndMerge(OnnxRuntimeSessionToolCfg(flags, model_fname="/eos/atlas/atlascerngroupdisk/data-art/grid-input/MuonRecRTT/TestModel.onnx")))
    kwargs.setdefault("MLFilterCut", -3.6) # Working point cut
    
    the_tool = CompFactory.MuonML.GraphSPFilterTool(name, **kwargs)
    result.setPrivateTools(the_tool)
    return result
 
def GraphBucketFilterToolCfg(flags, name ="GraphBucketFilterTool", **kwargs):
 
    from AthOnnxComps.OnnxRuntimeSessionConfig import OnnxRuntimeSessionToolCfg
 
    result = ComponentAccumulator()
    model_path = kwargs.pop("ModelPath", "edgecnn_multi_bucket_sparse_meta.onnx")
    
    if not model_path.startswith('/'):
        pass
    else:
        pass
    
    kwargs.setdefault("ModelSession", result.popToolsAndMerge(OnnxRuntimeSessionToolCfg(flags, model_fname=model_path)))
    # BiasClass0: Working point selection bias for multi-class comparison
    # Higher values make class 0 (reject) less likely, accepting more buckets
    # Typical values: 0.5-2.0. Default: 1.0 (no bias)
    kwargs.setdefault("BiasClass0", 1.0)
    kwargs.setdefault("OutputLevel", 3)  # INFO level (1=VERBOSE, 2=DEBUG, 3=INFO, 4=WARNING, 5=ERROR, 6=FATAL)
 
    the_tool = CompFactory.MuonML.GraphBucketFilterTool(name, **kwargs)
    result.setPrivateTools(the_tool)
    return result