David Monahan | 8260956 | 2020-08-31 15:50:32 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "../DriverTestHelpers.hpp" |
| 7 | #include "../TestTensor.hpp" |
| 8 | |
| 9 | #include "../1.3/HalPolicy.hpp" |
| 10 | |
| 11 | #include <armnn/utility/IgnoreUnused.hpp> |
| 12 | |
| 13 | #include <boost/test/unit_test.hpp> |
| 14 | #include <boost/test/data/test_case.hpp> |
| 15 | |
| 16 | |
| 17 | BOOST_AUTO_TEST_SUITE(QosTests) |
| 18 | |
| 19 | using ArmnnDriver = armnn_driver::ArmnnDriver; |
| 20 | using DriverOptions = armnn_driver::DriverOptions; |
| 21 | |
| 22 | using namespace android::nn; |
| 23 | using namespace android::hardware; |
| 24 | using namespace driverTestHelpers; |
| 25 | using namespace armnn_driver; |
| 26 | |
| 27 | using HalPolicy = hal_1_3::HalPolicy; |
| 28 | |
| 29 | namespace |
| 30 | { |
| 31 | |
| 32 | void ExecuteModel(const armnn_driver::hal_1_3::HalPolicy::Model& model, |
| 33 | armnn_driver::ArmnnDriver& driver, |
| 34 | const V1_0::Request& request) |
| 35 | { |
| 36 | android::sp<V1_3::IPreparedModel> preparedModel = PrepareModel_1_3(model, driver); |
| 37 | if (preparedModel.get() != nullptr) |
| 38 | { |
| 39 | Execute(preparedModel, request); |
| 40 | } |
| 41 | } |
| 42 | |
| 43 | #ifndef ARMCOMPUTECL_ENABLED |
| 44 | static const std::array<armnn::Compute, 1> COMPUTE_DEVICES = {{ armnn::Compute::CpuRef }}; |
| 45 | #else |
| 46 | static const std::array<armnn::Compute, 2> COMPUTE_DEVICES = {{ armnn::Compute::CpuRef, armnn::Compute::CpuAcc }}; |
| 47 | #endif |
| 48 | |
| 49 | BOOST_AUTO_TEST_CASE(ConcurrentExecuteWithQosPriority) |
| 50 | { |
| 51 | ALOGI("ConcurrentExecuteWithQOSPriority: entry"); |
| 52 | |
| 53 | auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| 54 | HalPolicy::Model model = {}; |
| 55 | |
| 56 | // add operands |
| 57 | int32_t actValue = 0; |
| 58 | float weightValue[] = {2, 4, 1}; |
| 59 | float biasValue[] = {4}; |
| 60 | |
| 61 | AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 3}); |
| 62 | AddTensorOperand<HalPolicy>(model, |
| 63 | hidl_vec<uint32_t>{1, 3}, |
| 64 | weightValue, |
| 65 | HalPolicy::OperandType::TENSOR_FLOAT32, |
| 66 | V1_3::OperandLifeTime::CONSTANT_COPY); |
| 67 | AddTensorOperand<HalPolicy>(model, |
| 68 | hidl_vec<uint32_t>{1}, |
| 69 | biasValue, |
| 70 | HalPolicy::OperandType::TENSOR_FLOAT32, |
| 71 | V1_3::OperandLifeTime::CONSTANT_COPY); |
| 72 | AddIntOperand<HalPolicy>(model, actValue); |
| 73 | AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1}); |
| 74 | |
| 75 | // make the fully connected operation |
| 76 | model.main.operations.resize(1); |
| 77 | model.main.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED; |
| 78 | model.main.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3}; |
| 79 | model.main.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| 80 | |
| 81 | // make the prepared models |
| 82 | const size_t maxRequests = 45; |
| 83 | size_t preparedModelsSize = 0; |
| 84 | android::sp<V1_3::IPreparedModel> preparedModels[maxRequests]; |
| 85 | V1_3::ErrorStatus status(V1_3::ErrorStatus::NONE); |
| 86 | size_t start = preparedModelsSize; |
| 87 | for (size_t i = start; i < start+15; ++i) |
| 88 | { |
| 89 | preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::LOW); |
| 90 | preparedModelsSize++; |
| 91 | } |
| 92 | start = preparedModelsSize; |
| 93 | for (size_t i = start; i < start+15; ++i) |
| 94 | { |
| 95 | preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::MEDIUM); |
| 96 | preparedModelsSize++; |
| 97 | } |
| 98 | start = preparedModelsSize; |
| 99 | for (size_t i = start; i < start+15; ++i) |
| 100 | { |
| 101 | preparedModels[i] = PrepareModelWithStatus_1_3(model, *driver, status, V1_3::Priority::HIGH); |
| 102 | preparedModelsSize++; |
| 103 | } |
| 104 | |
| 105 | BOOST_TEST(maxRequests == preparedModelsSize); |
| 106 | |
| 107 | // construct the request data |
| 108 | DataLocation inloc = {}; |
| 109 | inloc.poolIndex = 0; |
| 110 | inloc.offset = 0; |
| 111 | inloc.length = 3 * sizeof(float); |
| 112 | RequestArgument input = {}; |
| 113 | input.location = inloc; |
| 114 | input.dimensions = hidl_vec<uint32_t>{}; |
| 115 | |
| 116 | DataLocation outloc = {}; |
| 117 | outloc.poolIndex = 1; |
| 118 | outloc.offset = 0; |
| 119 | outloc.length = 1 * sizeof(float); |
| 120 | RequestArgument output = {}; |
| 121 | output.location = outloc; |
| 122 | output.dimensions = hidl_vec<uint32_t>{}; |
| 123 | |
| 124 | // build the requests |
| 125 | V1_0::Request requests[maxRequests]; |
| 126 | android::sp<IMemory> outMemory[maxRequests]; |
| 127 | float* outdata[maxRequests]; |
| 128 | for (size_t i = 0; i < maxRequests; ++i) |
| 129 | { |
| 130 | requests[i].inputs = hidl_vec<RequestArgument>{input}; |
| 131 | requests[i].outputs = hidl_vec<RequestArgument>{output}; |
| 132 | // set the input data (matching source test) |
| 133 | float inDataLow[] = {2, 32, 16}; |
| 134 | float inDataMedium[] = {1, 31, 11}; |
| 135 | float inDataHigh[] = {3, 33, 17}; |
| 136 | if (i < 15) |
| 137 | { |
| 138 | AddPoolAndSetData<float>(3, requests[i], inDataLow); |
| 139 | } |
| 140 | else if (i < 30) |
| 141 | { |
| 142 | AddPoolAndSetData<float>(3, requests[i], inDataMedium); |
| 143 | } |
| 144 | else |
| 145 | { |
| 146 | AddPoolAndSetData<float>(3, requests[i], inDataHigh); |
| 147 | } |
| 148 | // add memory for the output |
| 149 | outMemory[i] = AddPoolAndGetData<float>(1, requests[i]); |
| 150 | outdata[i] = static_cast<float*>(static_cast<void*>(outMemory[i]->getPointer())); |
| 151 | } |
| 152 | |
| 153 | // invoke the execution of the requests |
| 154 | ALOGI("ConcurrentExecuteWithQOSPriority: executing requests"); |
| 155 | android::sp<ExecutionCallback> cb[maxRequests]; |
| 156 | for (size_t i = 0; i < maxRequests; ++i) |
| 157 | { |
| 158 | cb[i] = ExecuteNoWait(preparedModels[i], requests[i]); |
| 159 | } |
| 160 | |
| 161 | // wait for the requests to complete |
| 162 | ALOGI("ConcurrentExecuteWithQOSPriority: waiting for callbacks"); |
| 163 | for (size_t i = 0; i < maxRequests; ++i) |
| 164 | { |
| 165 | ARMNN_ASSERT(cb[i]); |
| 166 | cb[i]->wait(); |
| 167 | } |
| 168 | |
| 169 | // check the results |
| 170 | ALOGI("ConcurrentExecuteWithQOSPriority: validating results"); |
| 171 | for (size_t i = 0; i < maxRequests; ++i) |
| 172 | { |
| 173 | if (i < 15) |
| 174 | { |
| 175 | BOOST_TEST(outdata[i][0] == 152); |
| 176 | } |
| 177 | else if (i < 30) |
| 178 | { |
| 179 | BOOST_TEST(outdata[i][0] == 141); |
| 180 | } |
| 181 | else |
| 182 | { |
| 183 | BOOST_TEST(outdata[i][0] == 159); |
| 184 | } |
| 185 | |
| 186 | } |
| 187 | ALOGI("ConcurrentExecuteWithQOSPriority: exit"); |
| 188 | } |
| 189 | |
| 190 | } // anonymous namespace |
| 191 | |
| 192 | BOOST_AUTO_TEST_SUITE_END() |