98       mOutputs(mModel->outputCount()) {  in ExecutionBuilder()
100                     << " inputs and " << mOutputs.size() << " outputs";  in ExecutionBuilder()
215     uint32_t count = static_cast<uint32_t>(mOutputs.size());  in setOutput()
229     if (!mOutputs[index].unspecified()) {  in setOutput()
235     std::tie(n, mOutputs[index]) =  in setOutput()
249     uint32_t count = static_cast<uint32_t>(mOutputs.size());  in setOutputFromMemory()
273     if (!mOutputs[index].unspecified()) {  in setOutputFromMemory()
279     std::tie(n, mOutputs[index]) = ModelArgumentInfo::createFromMemory(  in setOutputFromMemory()
416     uint32_t count = static_cast<uint32_t>(mOutputs.size());  in getOutputOperandDimensions()
422     const auto& dims = mOutputs[index].dimensions();  in getOutputOperandDimensions()
429     return mOutputs[index].isSufficient() ? ANEURALNETWORKS_NO_ERROR  in getOutputOperandDimensions()
444     uint32_t count = static_cast<uint32_t>(mOutputs.size());  in getOutputOperandRank()
450     *rank = static_cast<uint32_t>(mOutputs[index].dimensions().size());  in getOutputOperandRank()
451     return mOutputs[index].isSufficient() ? ANEURALNETWORKS_NO_ERROR  in getOutputOperandRank()
755     for (auto& p : mOutputs) {  in computeFenced()
762     for (uint32_t i = 0; i < mOutputs.size(); i++) {  in computeFenced()
763         if (mOutputs[i].state() != ModelArgumentInfo::HAS_NO_VALUE &&  in computeFenced()
816     for (auto& p : mOutputs) {  in compute()
876     std::vector<OutputShape> outputShapes(mOutputs.size());  in getInitialOutputShapes()
877     std::transform(mOutputs.begin(), mOutputs.end(), outputShapes.begin(),  in getInitialOutputShapes()
903     NN_RET_CHECK_EQ(outputShapes.size(), mOutputs.size());  in updateOutputShapes()
906         NN_RET_CHECK(isUpdatable(mOutputs[i].dimensions(), outputShapes[i].dimensions));  in updateOutputShapes()
912         mOutputs[i].dimensions() = outputShapes[i].dimensions;  in updateOutputShapes()
913         mOutputs[i].isSufficient() = outputShapes[i].isSufficient;  in updateOutputShapes()
919     for (const auto& output : mOutputs) {  in updateMemories()
936     for (const auto& output : mOutputs) {  in finishWithoutSyncFence()
989       mOutputs(model->outputCount()) {  in StepExecutor()
992                     << mOutputs.size() << " outputs";  in StepExecutor()
997     mOutputs = mExecutionBuilder->mOutputs;  in mapInputsAndOutputsTrivially()
1088         logArguments("output", mOutputs);  in computeWithMemories()
1095             mInputs, mOutputs, memories, burstController, measure, deadline, loopTimeoutDuration);  in computeWithMemories()
1108         logArguments("output", mOutputs);  in computeFenced()
1119             mInputs, mOutputs, mMemories.getObjects(), waitFor, measure, deadline,  in computeFenced()
1159     for (auto& output : mOutputs) {  in computeOnCpuFallback()