944                  std::vector<RunTimePoolInfo> requestPoolInfos,  in CpuExecution()  argument
948           kRequestPoolInfos(std::move(requestPoolInfos)),  in CpuExecution()
1030         const std::vector<RunTimePoolInfo>& requestPoolInfos, const OptionalTimePoint& deadline,  in computeOnCpu()  argument
1040     int err = executor.run(model, request, modelPoolInfos, requestPoolInfos);  in computeOnCpu()
1079     std::vector<RunTimePoolInfo> requestPoolInfos;  in createCpuRequest()  local
1080     requestPoolInfos.reserve(memories.size());  in createCpuRequest()
1083             requestPoolInfos.emplace_back(*poolInfo);  in createCpuRequest()
1090             [&requestPoolInfos](const std::vector<ModelArgumentInfo>& argumentInfos) {  in createCpuRequest()
1095                                 {.poolIndex = static_cast<uint32_t>(requestPoolInfos.size()),  in createCpuRequest()
1099                         requestPoolInfos.emplace_back(RunTimePoolInfo::createFromExistingBuffer(  in createCpuRequest()
1111     return {ANEURALNETWORKS_NO_ERROR, std::move(request), std::move(requestPoolInfos)};  in createCpuRequest()
1132     std::vector<RunTimePoolInfo> requestPoolInfos;  in execute()  local
1133     std::tie(nCreateRequest, request, requestPoolInfos) =  in execute()
1144         std::thread([this, &request, &requestPoolInfos, &deadline, &loopTimeoutDuration, &result] {  in execute()
1145             result = computeOnCpu(mModel, request, mModelPoolInfos, requestPoolInfos, deadline,  in execute()
1151     return computeOnCpu(mModel, request, mModelPoolInfos, requestPoolInfos, deadline,  in execute()
1159     auto [nCreateRequest, request, requestPoolInfos] = createCpuRequest(inputs, outputs, memories);  in createReusableExecution()
1164             *this, std::move(request), std::move(requestPoolInfos), loopTimeoutDuration);  in createReusableExecution()