surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | 93e4898 | 2018-09-05 13:05:09 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #ifndef LOG_TAG |
| 8 | #define LOG_TAG "ArmnnDriverTests" |
| 9 | #endif // LOG_TAG |
| 10 | |
| 11 | #include "../ArmnnDriver.hpp" |
| 12 | #include <iosfwd> |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 13 | #include <boost/test/unit_test.hpp> |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 14 | |
| 15 | namespace android |
| 16 | { |
| 17 | namespace hardware |
| 18 | { |
| 19 | namespace neuralnetworks |
| 20 | { |
| 21 | namespace V1_0 |
| 22 | { |
| 23 | |
| 24 | std::ostream& operator<<(std::ostream& os, ErrorStatus stat); |
| 25 | |
| 26 | } // namespace android::hardware::neuralnetworks::V1_0 |
| 27 | } // namespace android::hardware::neuralnetworks |
| 28 | } // namespace android::hardware |
| 29 | } // namespace android |
| 30 | |
| 31 | namespace driverTestHelpers |
| 32 | { |
| 33 | |
| 34 | std::ostream& operator<<(std::ostream& os, android::hardware::neuralnetworks::V1_0::ErrorStatus stat); |
| 35 | |
| 36 | struct ExecutionCallback : public IExecutionCallback |
| 37 | { |
| 38 | ExecutionCallback() : mNotified(false) {} |
| 39 | Return<void> notify(ErrorStatus status) override; |
| 40 | /// wait until the callback has notified us that it is done |
| 41 | Return<void> wait(); |
| 42 | |
| 43 | private: |
| 44 | // use a mutex and a condition variable to wait for asynchronous callbacks |
| 45 | std::mutex mMutex; |
| 46 | std::condition_variable mCondition; |
| 47 | // and a flag, in case we are notified before the wait call |
| 48 | bool mNotified; |
| 49 | }; |
| 50 | |
| 51 | class PreparedModelCallback : public IPreparedModelCallback |
| 52 | { |
| 53 | public: |
| 54 | PreparedModelCallback() |
| 55 | : m_ErrorStatus(ErrorStatus::NONE) |
| 56 | , m_PreparedModel() |
| 57 | { } |
| 58 | ~PreparedModelCallback() override { } |
| 59 | |
| 60 | Return<void> notify(ErrorStatus status, |
| 61 | const android::sp<IPreparedModel>& preparedModel) override; |
| 62 | ErrorStatus GetErrorStatus() { return m_ErrorStatus; } |
| 63 | android::sp<IPreparedModel> GetPreparedModel() { return m_PreparedModel; } |
| 64 | |
| 65 | private: |
| 66 | ErrorStatus m_ErrorStatus; |
| 67 | android::sp<IPreparedModel> m_PreparedModel; |
| 68 | }; |
| 69 | |
| 70 | hidl_memory allocateSharedMemory(int64_t size); |
| 71 | |
| 72 | android::sp<IMemory> AddPoolAndGetData(uint32_t size, Request& request); |
| 73 | |
| 74 | void AddPoolAndSetData(uint32_t size, Request& request, const float* data); |
| 75 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 76 | template<typename HalModel> |
| 77 | void AddOperand(HalModel& model, const Operand& op) |
| 78 | { |
| 79 | model.operands.resize(model.operands.size() + 1); |
| 80 | model.operands[model.operands.size() - 1] = op; |
| 81 | } |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 82 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 83 | template<typename HalModel> |
| 84 | void AddIntOperand(HalModel& model, int32_t value) |
| 85 | { |
| 86 | DataLocation location = {}; |
| 87 | location.offset = model.operandValues.size(); |
| 88 | location.length = sizeof(int32_t); |
| 89 | |
| 90 | Operand op = {}; |
| 91 | op.type = OperandType::INT32; |
| 92 | op.dimensions = hidl_vec<uint32_t>{}; |
| 93 | op.lifetime = OperandLifeTime::CONSTANT_COPY; |
| 94 | op.location = location; |
| 95 | |
| 96 | model.operandValues.resize(model.operandValues.size() + location.length); |
| 97 | *reinterpret_cast<int32_t*>(&model.operandValues[location.offset]) = value; |
| 98 | |
| 99 | AddOperand<HalModel>(model, op); |
| 100 | } |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 101 | |
| 102 | template<typename T> |
| 103 | OperandType TypeToOperandType(); |
| 104 | |
| 105 | template<> |
| 106 | OperandType TypeToOperandType<float>(); |
| 107 | |
| 108 | template<> |
| 109 | OperandType TypeToOperandType<int32_t>(); |
| 110 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 111 | template<typename HalModel, typename T> |
| 112 | void AddTensorOperand(HalModel& model, |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 113 | hidl_vec<uint32_t> dimensions, |
| 114 | T* values, |
| 115 | OperandType operandType = OperandType::TENSOR_FLOAT32) |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 116 | { |
| 117 | uint32_t totalElements = 1; |
| 118 | for (uint32_t dim : dimensions) |
| 119 | { |
| 120 | totalElements *= dim; |
| 121 | } |
| 122 | |
| 123 | DataLocation location = {}; |
| 124 | location.offset = model.operandValues.size(); |
| 125 | location.length = totalElements * sizeof(T); |
| 126 | |
| 127 | Operand op = {}; |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 128 | op.type = operandType; |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 129 | op.dimensions = dimensions; |
| 130 | op.lifetime = OperandLifeTime::CONSTANT_COPY; |
| 131 | op.location = location; |
| 132 | |
| 133 | model.operandValues.resize(model.operandValues.size() + location.length); |
| 134 | for (uint32_t i = 0; i < totalElements; i++) |
| 135 | { |
| 136 | *(reinterpret_cast<T*>(&model.operandValues[location.offset]) + i) = values[i]; |
| 137 | } |
| 138 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 139 | AddOperand<HalModel>(model, op); |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 140 | } |
| 141 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 142 | template<typename HalModel> |
| 143 | void AddInputOperand(HalModel& model, |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 144 | hidl_vec<uint32_t> dimensions, |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 145 | OperandType operandType = OperandType::TENSOR_FLOAT32) |
| 146 | { |
| 147 | Operand op = {}; |
| 148 | op.type = operandType; |
| 149 | op.dimensions = dimensions; |
| 150 | op.lifetime = OperandLifeTime::MODEL_INPUT; |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 151 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 152 | AddOperand<HalModel>(model, op); |
| 153 | |
| 154 | model.inputIndexes.resize(model.inputIndexes.size() + 1); |
| 155 | model.inputIndexes[model.inputIndexes.size() - 1] = model.operands.size() - 1; |
| 156 | } |
| 157 | |
| 158 | template<typename HalModel> |
| 159 | void AddOutputOperand(HalModel& model, |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 160 | hidl_vec<uint32_t> dimensions, |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 161 | OperandType operandType = OperandType::TENSOR_FLOAT32) |
| 162 | { |
| 163 | Operand op = {}; |
| 164 | op.type = operandType; |
| 165 | op.scale = operandType == OperandType::TENSOR_QUANT8_ASYMM ? 1.f / 255.f : 0.f; |
| 166 | op.dimensions = dimensions; |
| 167 | op.lifetime = OperandLifeTime::MODEL_OUTPUT; |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 168 | |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 169 | AddOperand<HalModel>(model, op); |
| 170 | |
| 171 | model.outputIndexes.resize(model.outputIndexes.size() + 1); |
| 172 | model.outputIndexes[model.outputIndexes.size() - 1] = model.operands.size() - 1; |
| 173 | } |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 174 | |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 175 | android::sp<IPreparedModel> PrepareModelWithStatus(const ::android::hardware::neuralnetworks::V1_0::Model& model, |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 176 | armnn_driver::ArmnnDriver& driver, |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 177 | ErrorStatus& prepareStatus, |
| 178 | ErrorStatus expectedStatus = ErrorStatus::NONE); |
| 179 | |
| 180 | #if defined(ARMNN_ANDROID_NN_V1_1) // Using ::android::hardware::neuralnetworks::V1_1. |
| 181 | |
| 182 | android::sp<IPreparedModel> PrepareModelWithStatus(const ::android::hardware::neuralnetworks::V1_1::Model& model, |
| 183 | armnn_driver::ArmnnDriver& driver, |
| 184 | ErrorStatus& prepareStatus, |
| 185 | ErrorStatus expectedStatus = ErrorStatus::NONE); |
| 186 | |
| 187 | #endif |
| 188 | |
| 189 | template<typename HalModel> |
| 190 | android::sp<IPreparedModel> PrepareModel(const HalModel& model, |
| 191 | armnn_driver::ArmnnDriver& driver) |
| 192 | { |
| 193 | ErrorStatus prepareStatus = ErrorStatus::NONE; |
| 194 | return PrepareModelWithStatus(model, driver, prepareStatus); |
| 195 | } |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 196 | |
| 197 | ErrorStatus Execute(android::sp<IPreparedModel> preparedModel, |
| 198 | const Request& request, |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame^] | 199 | ErrorStatus expectedStatus = ErrorStatus::NONE); |
surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame] | 200 | |
| 201 | android::sp<ExecutionCallback> ExecuteNoWait(android::sp<IPreparedModel> preparedModel, |
| 202 | const Request& request); |
| 203 | |
| 204 | } // namespace driverTestHelpers |