AthExOnnxRuntime_test_infer.py

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# Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
 
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
from AthenaConfiguration.ComponentFactory import CompFactory
from AthenaCommon import Constants
from AthOnnxComps.OnnxRuntimeFlags import OnnxRuntimeType
from AthOnnxComps.OnnxRuntimeInferenceConfig import OnnxRuntimeInferenceToolCfg
 
 
def AthExOnnxRuntimeExampleCfg(flags, name="AthOnnxExample", **kwargs):
    acc = ComponentAccumulator()
 
    model_fname = "dev/MLTest/2020-03-02/MNIST_testModel.onnx"
    execution_provider = OnnxRuntimeType.CPU
    kwargs.setdefault("ORTInferenceTool", acc.popToolsAndMerge(
        OnnxRuntimeInferenceToolCfg(flags, model_fname, execution_provider)
    ))
 
    input_data = "dev/MLTest/2020-03-31/t10k-images-idx3-ubyte"
    kwargs.setdefault("BatchSize", 100)
    kwargs.setdefault("InputDataPixel", input_data)
    kwargs.setdefault("OutputLevel", Constants.DEBUG)
    acc.addEventAlgo(
        CompFactory.AthOnnx.EvaluateModelWithAthInfer(name, **kwargs))
 
    return acc
 
 
if __name__ == "__main__":
    from AthenaCommon.Logging import log as msg
    from AthenaConfiguration.AllConfigFlags import initConfigFlags
    from AthenaConfiguration.MainServicesConfig import MainServicesCfg
 
    msg.setLevel(Constants.DEBUG)
 
    flags = initConfigFlags()
    flags.AthOnnx.ExecutionProvider = OnnxRuntimeType.CPU
    flags.Concurrency.NumThreads = 4
    flags.lock()
 
    acc = MainServicesCfg(flags)
    acc.merge(AthExOnnxRuntimeExampleCfg(flags))
    acc.printConfig(withDetails=True, summariseProps=True)
 
    acc.store(open('test_AthInferORTExampleCfg.pkl', 'wb'))
 
    import sys
    sys.exit(acc.run(2).isFailure())