| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "../DriverTestHelpers.hpp" |
| |
| #include <1.3/HalPolicy.hpp> |
| |
| DOCTEST_TEST_SUITE("QosTests") |
| { |
| using ArmnnDriver = armnn_driver::ArmnnDriver; |
| using DriverOptions = armnn_driver::DriverOptions; |
| |
| using namespace android::nn; |
| using namespace android::hardware; |
| using namespace driverTestHelpers; |
| using namespace armnn_driver; |
| |
| using HalPolicy = hal_1_3::HalPolicy; |
| |
| namespace |
| { |
| |
| void ExecuteModel(const armnn_driver::hal_1_3::HalPolicy::Model& model, |
| armnn_driver::ArmnnDriver& driver, |
| const V1_0::Request& request) |
| { |
| android::sp<V1_3::IPreparedModel> preparedModel = PrepareModel_1_3(model, driver); |
| if (preparedModel.get() != nullptr) |
| { |
| Execute(preparedModel, request); |
| } |
| } |
| |
| DOCTEST_TEST_CASE("ConcurrentExecuteWithQosPriority") |
| { |
| ALOGI("ConcurrentExecuteWithQOSPriority: entry"); |
| |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| HalPolicy::Model model = {}; |
| |
| // add operands |
| int32_t actValue = 0; |
| float weightValue[] = {2, 4, 1}; |
| float biasValue[] = {4}; |
| |
| AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 3}); |
| AddTensorOperand<HalPolicy>(model, |
| hidl_vec<uint32_t>{1, 3}, |
| weightValue, |
| HalPolicy::OperandType::TENSOR_FLOAT32, |
| V1_3::OperandLifeTime::CONSTANT_COPY); |
| AddTensorOperand<HalPolicy>(model, |
| hidl_vec<uint32_t>{1}, |
| biasValue, |
| HalPolicy::OperandType::TENSOR_FLOAT32, |
| V1_3::OperandLifeTime::CONSTANT_COPY); |
| AddIntOperand<HalPolicy>(model, actValue); |
| AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1}); |
| |
| // make the fully connected operation |
| model.main.operations.resize(1); |
| model.main.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED; |
| model.main.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3}; |
| model.main.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| |
| // make the prepared models |
| const size_t maxRequests = 45; |
| size_t preparedModelsSize = 0; |
| android::sp<V1_3::IPreparedModel> preparedModels[maxRequests]; |
| V1_3::ErrorStatus status(V1_3::ErrorStatus::NONE); |
| size_t start = preparedModelsSize; |
| for (size_t i = start; i < start+15; ++i) |
| { |
| preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::LOW); |
| preparedModelsSize++; |
| } |
| start = preparedModelsSize; |
| for (size_t i = start; i < start+15; ++i) |
| { |
| preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::MEDIUM); |
| preparedModelsSize++; |
| } |
| start = preparedModelsSize; |
| for (size_t i = start; i < start+15; ++i) |
| { |
| preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::HIGH); |
| preparedModelsSize++; |
| } |
| |
| DOCTEST_CHECK(maxRequests == preparedModelsSize); |
| |
| // construct the request data |
| V1_0::DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = 3 * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = hidl_vec<uint32_t>{}; |
| |
| V1_0::DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = 1 * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = hidl_vec<uint32_t>{}; |
| |
| // build the requests |
| V1_0::Request requests[maxRequests]; |
| android::sp<IMemory> outMemory[maxRequests]; |
| float* outdata[maxRequests]; |
| for (size_t i = 0; i < maxRequests; ++i) |
| { |
| requests[i].inputs = hidl_vec<RequestArgument>{input}; |
| requests[i].outputs = hidl_vec<RequestArgument>{output}; |
| // set the input data (matching source test) |
| float inDataLow[] = {2, 32, 16}; |
| float inDataMedium[] = {1, 31, 11}; |
| float inDataHigh[] = {3, 33, 17}; |
| if (i < 15) |
| { |
| AddPoolAndSetData<float>(3, requests[i], inDataLow); |
| } |
| else if (i < 30) |
| { |
| AddPoolAndSetData<float>(3, requests[i], inDataMedium); |
| } |
| else |
| { |
| AddPoolAndSetData<float>(3, requests[i], inDataHigh); |
| } |
| // add memory for the output |
| outMemory[i] = AddPoolAndGetData<float>(1, requests[i]); |
| outdata[i] = static_cast<float*>(static_cast<void*>(outMemory[i]->getPointer())); |
| } |
| |
| // invoke the execution of the requests |
| ALOGI("ConcurrentExecuteWithQOSPriority: executing requests"); |
| android::sp<ExecutionCallback> cb[maxRequests]; |
| for (size_t i = 0; i < maxRequests; ++i) |
| { |
| cb[i] = ExecuteNoWait(preparedModels[i], requests[i]); |
| } |
| |
| // wait for the requests to complete |
| ALOGI("ConcurrentExecuteWithQOSPriority: waiting for callbacks"); |
| for (size_t i = 0; i < maxRequests; ++i) |
| { |
| DOCTEST_CHECK(cb[i]); |
| cb[i]->wait(); |
| } |
| |
| // check the results |
| ALOGI("ConcurrentExecuteWithQOSPriority: validating results"); |
| for (size_t i = 0; i < maxRequests; ++i) |
| { |
| if (i < 15) |
| { |
| DOCTEST_CHECK(outdata[i][0] == 152); |
| } |
| else if (i < 30) |
| { |
| DOCTEST_CHECK(outdata[i][0] == 141); |
| } |
| else |
| { |
| DOCTEST_CHECK(outdata[i][0] == 159); |
| } |
| |
| } |
| ALOGI("ConcurrentExecuteWithQOSPriority: exit"); |
| } |
| |
| } // anonymous namespace |
| |
| } |