Onnx/src/MLTrackClassifier.cpp

0001 // This file is part of the ACTS project.
0002 //
0003 // Copyright (C) 2016 CERN for the benefit of the ACTS project
0004 //
0005 // This Source Code Form is subject to the terms of the Mozilla Public
0006 // License, v. 2.0. If a copy of the MPL was not distributed with this
0007 // file, You can obtain one at https://mozilla.org/MPL/2.0/.
0008
0009 #include "ActsPlugins/Onnx/MLTrackClassifier.hpp"
0010
0011 #include <cassert>
0012 #include <stdexcept>
0013
0014 // prediction function
0015 ActsPlugins::MLTrackClassifier::TrackLabels
0016 ActsPlugins::MLTrackClassifier::predictTrackLabel(
0017     std::vector<float>& inputFeatures, double decisionThreshProb) const {
0018   // check that the decision threshold is a probability
0019   if (!((0. <= decisionThreshProb) && (decisionThreshProb <= 1.))) {
0020     throw std::invalid_argument(
0021         "predictTrackLabel: Decision threshold "
0022         "probability is not in [0, 1].");
0023   }
0024
0025   // run the model over the input
0026   std::vector<float> outputTensor = runONNXInference(inputFeatures);
0027   // this is binary classification, so only need first value
0028   float outputProbability = outputTensor[0];
0029
0030   // the output layer computes how confident the network is that the track is a
0031   // duplicate, so need to convert that to a label
0032   if (outputProbability > decisionThreshProb) {
0033     return TrackLabels::eDuplicate;
0034   }
0035   return TrackLabels::eGood;
0036 }
0037
0038 // function that checks if the predicted track label is duplicate
0039 bool ActsPlugins::MLTrackClassifier::isDuplicate(
0040     std::vector<float>& inputFeatures, double decisionThreshProb) const {
0041   MLTrackClassifier::TrackLabels predictedLabel =
0042       MLTrackClassifier::predictTrackLabel(inputFeatures, decisionThreshProb);
0043   return predictedLabel == MLTrackClassifier::TrackLabels::eDuplicate;
0044 }