335         : mOpCode(opCode), mValidInputs(), mValidOutputs(), mInputRankMutators(inputRankMutators) {
337             mValidInputs.push_back(input);
346         mValidInputs[index].channelQuant = channelQuant;  in setInputSymmPerChannelQuantParams()
355         mValidInputs[index].valueModel = valueModel;  in setInputOperandValueFromModel()
406         int32_t result = addOperation(mValidInputs, mValidOutputs);  in testFailure()
411         int32_t result = addOperation(mValidInputs, mValidOutputs);  in testSuccess()
416         for (uint32_t i = 0; i < mValidInputs.size(); i++) {  in testMutatingInputOperandCode()
429             OperandTypeWithExtraParams newType = mValidInputs[i];  in testMutatingInputOperandCode()
430             int32_t originalOperandCode = mValidInputs[i].operandType.type;  in testMutatingInputOperandCode()
485                 if (mOpCode == ANEURALNETWORKS_CONV_2D && i == 7 && mValidInputs.size() == 10) {  in testMutatingInputOperandCode()
516                     mValidInputs.size() == 11) {  in testMutatingInputOperandCode()
526                 std::vector<OperandTypeWithExtraParams> inputs = mValidInputs;  in testMutatingInputOperandCode()
579                 int32_t result = addOperation(mValidInputs, outputs);  in testMutatingOutputOperandCode()
594         std::vector<OperandTypeWithExtraParams> inputs = mValidInputs;  in testMutatingInputOperandCounts()
613             if (ANEURALNETWORKS_NO_ERROR == addOperation(mValidInputs, outputs)) {  in testMutatingOutputOperandCounts()
634             for (const auto& validMutation : rankMutator.ValidInputsMutations(mValidInputs)) {  in testMutatingInputRanks()
641             for (const auto& invalidMutation : rankMutator.InvalidInputsMutations(mValidInputs)) {  in testMutatingInputRanks()
655     std::vector<OperandTypeWithExtraParams> mValidInputs;  member in __anon3f5e7c550110::OperationTestBase