403         int n;  in allocate()  local
480     int n = mStepModel.addOperand(type);  in addOperand()  local
647     for (uint32_t i = 0, n = mStepModelInputs.size(); i < n; ++i) {  in mapInputsAndOutputs()  local
650     for (uint32_t i = 0, n = mStepModelOutputs.size(); i < n; ++i) {  in mapInputsAndOutputs()  local
820         for (uint32_t i = 0, n = mainModel->inputCount(); i < n; ++i) {  in finishStepModel()  local
824         for (uint32_t i = 0, n = mainModel->outputCount(); i < n; ++i) {  in finishStepModel()  local
940             int n = step->finishStepModel(mainModel, &stepHasDynamicTemporaries,  in finish()  local
993     for (uint32_t i = 0, n = mainModel->inputCount(); i < n; ++i) {  in finish()  local
997     for (uint32_t i = 0, n = mainModel->outputCount(); i < n; ++i) {  in finish()  local
1145     int n = compile(*mDevice, *mModel, executionPreference, priority, deadline, *mCacheInfo,  in finish()  local
1194     int n;  in Controller()  local
1702     int n = ANEURALNETWORKS_NO_ERROR;  in waitForLastStepSyncFence()  local
1730     for (uint32_t i = 0, n = step->outerInputOperands.size(); i < n; ++i) {  in nextCompound()  local
1741     for (uint32_t i = 0, n = step->outerOutputOperands.size(); i < n; ++i) {  in nextCompound()  local
1778         for (uint32_t i = 0, n = step->condInputOperands.size(); i < n; ++i) {  in nextCompound()  local
1821         for (uint32_t i = 0, n = step->bodyInputOperands.size(); i < n; ++i) {  in nextCompound()  local
1844         for (uint32_t i = 0, n = step->outerOutputOperands.size(); i < n; ++i) {  in nextCompound()  local
2143     int n = plan->finish(preference, priority, deadline, metaData, simulateFailureResultCode);  in partitionTheWork()  local
2260                 int n = step->addOperation(operationIndex);  in partitionTheWorkInternal()  local
2303                     for (uint32_t i = op::kFirstInput, n = operation.inputs.size(); i < n; ++i) {  in partitionTheWorkInternal()  local
2307                     for (uint32_t i = 0, n = operation.outputs.size(); i < n; ++i) {  in partitionTheWorkInternal()  local
2312                     for (uint32_t i = 0, n = thenModel->inputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2316                     for (uint32_t i = 0, n = thenModel->outputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2321                     for (uint32_t i = 0, n = elseModel->inputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2325                     for (uint32_t i = 0, n = elseModel->outputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2364                     for (uint32_t i = op::kFirstInput, n = operation.inputs.size(); i < n; ++i) {  in partitionTheWorkInternal()  local
2368                     for (uint32_t i = 0, n = operation.outputs.size(); i < n; ++i) {  in partitionTheWorkInternal()  local
2373                     for (uint32_t i = 0, n = condModel->inputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2380                     for (uint32_t i = 0, n = bodyModel->inputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local
2384                     for (uint32_t i = 0, n = bodyModel->outputCount(); i < n; ++i) {  in partitionTheWorkInternal()  local