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[14.0.X] L2TauTagNNProducerAlpaka: do not call TF inference with empty grid #45148

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Jun 7, 2024
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[14.0.X] L2TauTagNNProducerAlpaka: do not call TF inference with empty grid #45148

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18 changes: 11 additions & 7 deletions RecoTauTag/HLTProducers/src/L2TauTagNNProducerAlpaka.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -731,15 +731,19 @@ void L2TauNNProducerAlpaka::fillPatatracks(tensorflow::Tensor& cellGridMatrix,
}

std::vector<float> L2TauNNProducerAlpaka::getTauScore(const tensorflow::Tensor& cellGridMatrix) {
std::vector<tensorflow::Tensor> pred_tensor;
tensorflow::run(L2cacheData_->session, {{inputTensorName_, cellGridMatrix}}, {outputTensorName_}, &pred_tensor);
const int nTau = cellGridMatrix.shape().dim_size(0);
std::vector<float> pred_vector(nTau);
for (int tau_idx = 0; tau_idx < nTau; ++tau_idx) {
pred_vector[tau_idx] = pred_tensor[0].matrix<float>()(tau_idx, 0);
}
if (nTau == 0) {
return std::vector<float>();
} else {
std::vector<tensorflow::Tensor> pred_tensor;
tensorflow::run(L2cacheData_->session, {{inputTensorName_, cellGridMatrix}}, {outputTensorName_}, &pred_tensor);
std::vector<float> pred_vector(nTau);
for (int tau_idx = 0; tau_idx < nTau; ++tau_idx) {
pred_vector[tau_idx] = pred_tensor[0].matrix<float>()(tau_idx, 0);
}

return pred_vector;
return pred_vector;
}
}

void L2TauNNProducerAlpaka::produce(edm::Event& event, const edm::EventSetup& eventsetup) {
Expand Down