124             ANEURALNETWORKS_NO_ERROR) {  in checkDimensionInfo()
353     return ANEURALNETWORKS_NO_ERROR;  in setMeasureTiming()
413     return ANEURALNETWORKS_NO_ERROR;  in getDuration()
432     return ANEURALNETWORKS_NO_ERROR;  in setTimeoutDuration()
451     return ANEURALNETWORKS_NO_ERROR;  in setLoopTimeout()
466     return ANEURALNETWORKS_NO_ERROR;  in enableInputAndOutputPadding()
476     return ANEURALNETWORKS_NO_ERROR;  in setReusable()
504     return mOutputs[index].isSufficient() ? ANEURALNETWORKS_NO_ERROR  in getOutputOperandDimensions()
526     return mOutputs[index].isSufficient() ? ANEURALNETWORKS_NO_ERROR  in getOutputOperandRank()
562     return ANEURALNETWORKS_NO_ERROR;  in validateRequest()
592     if (int n = getValidationResultCode(); n != ANEURALNETWORKS_NO_ERROR) {  in prepareForCompute()
595     return ANEURALNETWORKS_NO_ERROR;  in prepareForCompute()
633     if (n1 != ANEURALNETWORKS_NO_ERROR) {  in cpuFallbackPartial()
655     if (n == ANEURALNETWORKS_NO_ERROR) {  in computeInternal()
701         if (n != ANEURALNETWORKS_NO_ERROR) {  in computeInternal()
713             return {ANEURALNETWORKS_NO_ERROR, outputShapes, {}};  in computeInternal()
728         if (stepN == ANEURALNETWORKS_NO_ERROR) {  in computeInternal()
785             if (fallbackN == ANEURALNETWORKS_NO_ERROR) {  in computeInternal()
859     if (n == ANEURALNETWORKS_NO_ERROR) {  in computeFencedInternal()
860         return {ANEURALNETWORKS_NO_ERROR, syncFd, callback};  in computeFencedInternal()
919         if (n != ANEURALNETWORKS_NO_ERROR) {  in computeFencedInternal()
932             return {ANEURALNETWORKS_NO_ERROR, syncFence.release(), executeFencedInfoCallback};  in computeFencedInternal()
948         if (stepN == ANEURALNETWORKS_NO_ERROR) {  in computeFencedInternal()
1002     if (result != ANEURALNETWORKS_NO_ERROR) {  in computeFenced()
1086         return ANEURALNETWORKS_NO_ERROR;  in compute()
1115     return (executionResultCode == ANEURALNETWORKS_NO_ERROR) && outputShape.isSufficient &&  in isZeroSizedTensor()
1157     bool success = result == ANEURALNETWORKS_NO_ERROR;  in finishComputation()
1164         case ANEURALNETWORKS_NO_ERROR:  in finishComputation()
1267                     if (executionResultCode == ANEURALNETWORKS_NO_ERROR) {  in updateOutputShapes()
1389     if (n == ANEURALNETWORKS_NO_ERROR && dimensions.size()) {  in setInputOrOutputFromMemory()
1452         if (n != ANEURALNETWORKS_NO_ERROR) {  in getReusableExecution()
1457     return {ANEURALNETWORKS_NO_ERROR, mExecution};  in getReusableExecution()
1472         if (nCreate != ANEURALNETWORKS_NO_ERROR) {  in compute()
1508         if (nCreate != ANEURALNETWORKS_NO_ERROR) {  in computeFenced()
1541     if (n != ANEURALNETWORKS_NO_ERROR) {  in computeOnCpuFallback()
1577             if (nAhwb != ANEURALNETWORKS_NO_ERROR) {  in computeOnCpuFallback()
1582                 if (n != ANEURALNETWORKS_NO_ERROR) {  in computeOnCpuFallback()
1597     if (nExecute != ANEURALNETWORKS_NO_ERROR) {  in computeOnCpuFallback()
1606             if (n != ANEURALNETWORKS_NO_ERROR) {  in computeOnCpuFallback()
1611     return {ANEURALNETWORKS_NO_ERROR, std::move(outputShapes), timing};  in computeOnCpuFallback()