Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 1 | // |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 2 | // Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #define LOG_TAG "ArmnnDriver" |
| 7 | |
| 8 | #include "ArmnnPreparedModel_1_2.hpp" |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 9 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 10 | #include "Utils.hpp" |
| 11 | |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 12 | #include <armnn/Types.hpp> |
| 13 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 14 | #include <log/log.h> |
| 15 | #include <OperationsUtils.h> |
| 16 | #include <ExecutionBurstServer.h> |
| 17 | #include <ValidateHal.h> |
| 18 | |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 19 | #include <chrono> |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 20 | #include <cinttypes> |
| 21 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 22 | #ifdef ARMNN_ANDROID_S |
| 23 | #include <LegacyUtils.h> |
| 24 | #endif |
| 25 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 26 | using namespace android; |
| 27 | using namespace android::hardware; |
| 28 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 29 | namespace { |
| 30 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 31 | static const V1_2::Timing g_NoTiming = {.timeOnDevice = UINT64_MAX, .timeInDriver = UINT64_MAX}; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 32 | using namespace armnn_driver; |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 33 | using TimePoint = std::chrono::steady_clock::time_point; |
| 34 | |
| 35 | TimePoint Now() |
| 36 | { |
| 37 | return std::chrono::steady_clock::now(); |
| 38 | } |
| 39 | |
| 40 | unsigned long MicrosecondsDuration(TimePoint endPoint, TimePoint startPoint) |
| 41 | { |
| 42 | return static_cast<unsigned long>(std::chrono::duration_cast<std::chrono::microseconds>( |
| 43 | endPoint - startPoint).count()); |
| 44 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 45 | |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 46 | void NotifyCallbackAndCheck(const ::android::sp<V1_0::IExecutionCallback>& callback, |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 47 | V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 48 | std::vector<V1_2::OutputShape>, |
| 49 | const V1_2::Timing, |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 50 | std::string callingFunction) |
| 51 | { |
| 52 | Return<void> returned = callback->notify(errorStatus); |
| 53 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 54 | if (!returned.isOk()) |
| 55 | { |
| 56 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 57 | callingFunction.c_str(), returned.description().c_str()); |
| 58 | } |
| 59 | } |
| 60 | |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 61 | void NotifyCallbackAndCheck(const ::android::sp<V1_2::IExecutionCallback>& callback, |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 62 | V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 63 | std::vector<V1_2::OutputShape> outputShapes, |
| 64 | const V1_2::Timing timing, |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 65 | std::string callingFunction) |
| 66 | { |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 67 | Return<void> returned = callback->notify_1_2(errorStatus, outputShapes, timing); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 68 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 69 | if (!returned.isOk()) |
| 70 | { |
| 71 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 72 | callingFunction.c_str(), returned.description().c_str()); |
| 73 | } |
| 74 | } |
| 75 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 76 | bool ValidateRequestArgument(const V1_0::RequestArgument& requestArg, const armnn::TensorInfo& tensorInfo) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 77 | { |
| 78 | if (requestArg.dimensions.size() != 0) |
| 79 | { |
| 80 | if (requestArg.dimensions.size() != tensorInfo.GetNumDimensions()) |
| 81 | { |
| 82 | ALOGE("Mismatched dimensions (request argument: %zu, expected: %u)", |
| 83 | requestArg.dimensions.size(), tensorInfo.GetNumDimensions()); |
| 84 | return false; |
| 85 | } |
| 86 | |
| 87 | for (unsigned int d = 0; d < tensorInfo.GetNumDimensions(); ++d) |
| 88 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 89 | if (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.GetShape()[d]) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 90 | { |
| 91 | ALOGE("Mismatched size for dimension %d (request argument: %u, expected %u)", |
| 92 | d, requestArg.dimensions[d], tensorInfo.GetShape()[d]); |
| 93 | return false; |
| 94 | } |
| 95 | } |
| 96 | } |
| 97 | |
| 98 | return true; |
| 99 | } |
| 100 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 101 | armnn::Tensor GetTensorForRequestArgument(const V1_0::RequestArgument& requestArg, |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 102 | const armnn::TensorInfo& tensorInfo, |
| 103 | const std::vector<::android::nn::RunTimePoolInfo>& requestPools) |
| 104 | { |
| 105 | if (!ValidateRequestArgument(requestArg, tensorInfo)) |
| 106 | { |
| 107 | return armnn::Tensor(); |
| 108 | } |
| 109 | |
| 110 | return armnn::Tensor(tensorInfo, GetMemoryFromPool(requestArg.location, requestPools)); |
| 111 | } |
| 112 | |
| 113 | inline std::string BuildTensorName(const char* tensorNamePrefix, std::size_t index) |
| 114 | { |
| 115 | return tensorNamePrefix + std::to_string(index); |
| 116 | } |
| 117 | |
| 118 | } // anonymous namespace |
| 119 | |
| 120 | using namespace android::hardware; |
| 121 | |
| 122 | namespace armnn_driver |
| 123 | { |
| 124 | |
| 125 | template<typename HalVersion> |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 126 | RequestThread<ArmnnPreparedModel_1_2, HalVersion, CallbackContext_1_2> |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 127 | ArmnnPreparedModel_1_2<HalVersion>::m_RequestThread; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 128 | |
| 129 | template<typename HalVersion> |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 130 | std::unique_ptr<armnn::Threadpool> ArmnnPreparedModel_1_2<HalVersion>::m_Threadpool(nullptr); |
| 131 | |
| 132 | template<typename HalVersion> |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 133 | template<typename TensorBindingCollection> |
| 134 | void ArmnnPreparedModel_1_2<HalVersion>::DumpTensorsIfRequired(char const* tensorNamePrefix, |
| 135 | const TensorBindingCollection& tensorBindings) |
| 136 | { |
| 137 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 138 | { |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 139 | const std::string requestName = std::to_string(m_NetworkId) + "_" + std::to_string(m_RequestCount) + ".dump"; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 140 | for (std::size_t i = 0u; i < tensorBindings.size(); ++i) |
| 141 | { |
| 142 | DumpTensor(m_RequestInputsAndOutputsDumpDir, |
| 143 | requestName, |
| 144 | BuildTensorName(tensorNamePrefix, i), |
| 145 | tensorBindings[i].second); |
| 146 | } |
| 147 | } |
| 148 | } |
| 149 | |
| 150 | template<typename HalVersion> |
| 151 | ArmnnPreparedModel_1_2<HalVersion>::ArmnnPreparedModel_1_2(armnn::NetworkId networkId, |
| 152 | armnn::IRuntime* runtime, |
| 153 | const V1_2::Model& model, |
| 154 | const std::string& requestInputsAndOutputsDumpDir, |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 155 | const bool gpuProfilingEnabled, |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 156 | const bool asyncModelExecutionEnabled, |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 157 | const unsigned int numberOfThreads, |
| 158 | const bool importEnabled, |
| 159 | const bool exportEnabled) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 160 | : m_NetworkId(networkId) |
| 161 | , m_Runtime(runtime) |
| 162 | , m_Model(model) |
| 163 | , m_RequestCount(0) |
| 164 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 165 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 166 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 167 | , m_EnableImport(importEnabled) |
| 168 | , m_EnableExport(exportEnabled) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 169 | , m_PreparedFromCache(false) |
| 170 | { |
| 171 | // Enable profiling if required. |
| 172 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
| 173 | |
| 174 | if (m_AsyncModelExecutionEnabled) |
| 175 | { |
| 176 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
| 177 | for (unsigned int i=0; i < numberOfThreads; ++i) |
| 178 | { |
| 179 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 180 | } |
| 181 | |
| 182 | if (!m_Threadpool) |
| 183 | { |
| 184 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 185 | } |
| 186 | else |
| 187 | { |
| 188 | m_Threadpool->LoadMemHandles(memHandles); |
| 189 | } |
| 190 | |
| 191 | m_WorkingMemHandle = memHandles.back(); |
| 192 | } |
| 193 | } |
| 194 | |
| 195 | template<typename HalVersion> |
| 196 | ArmnnPreparedModel_1_2<HalVersion>::ArmnnPreparedModel_1_2(armnn::NetworkId networkId, |
| 197 | armnn::IRuntime* runtime, |
| 198 | const std::string& requestInputsAndOutputsDumpDir, |
| 199 | const bool gpuProfilingEnabled, |
| 200 | const bool asyncModelExecutionEnabled, |
| 201 | const unsigned int numberOfThreads, |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 202 | const bool importEnabled, |
| 203 | const bool exportEnabled, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 204 | const bool preparedFromCache) |
| 205 | : m_NetworkId(networkId) |
| 206 | , m_Runtime(runtime) |
| 207 | , m_RequestCount(0) |
| 208 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 209 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
| 210 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 211 | , m_EnableImport(importEnabled) |
| 212 | , m_EnableExport(exportEnabled) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 213 | , m_PreparedFromCache(preparedFromCache) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 214 | { |
| 215 | // Enable profiling if required. |
| 216 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 217 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 218 | if (m_AsyncModelExecutionEnabled) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 219 | { |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 220 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
Finn Williams | d27c13b | 2021-06-25 10:06:09 +0100 | [diff] [blame] | 221 | for (unsigned int i=0; i < numberOfThreads; ++i) |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 222 | { |
| 223 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 224 | } |
| 225 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 226 | if (!m_Threadpool) |
| 227 | { |
| 228 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 229 | } |
| 230 | else |
| 231 | { |
| 232 | m_Threadpool->LoadMemHandles(memHandles); |
| 233 | } |
| 234 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 235 | m_WorkingMemHandle = memHandles.back(); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 236 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 237 | } |
| 238 | |
| 239 | template<typename HalVersion> |
| 240 | ArmnnPreparedModel_1_2<HalVersion>::~ArmnnPreparedModel_1_2() |
| 241 | { |
| 242 | // Get a hold of the profiler used by this model. |
| 243 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
Colm Donelan | 2048b68 | 2022-02-15 14:59:08 +0000 | [diff] [blame] | 244 | if (profiler && m_GpuProfilingEnabled) |
| 245 | { |
| 246 | // Dump the profiling info to a file if required. |
| 247 | DumpJsonProfilingIfRequired(m_GpuProfilingEnabled, m_RequestInputsAndOutputsDumpDir, m_NetworkId, |
| 248 | profiler.get()); |
| 249 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 250 | |
| 251 | // Unload the network associated with this model. |
| 252 | m_Runtime->UnloadNetwork(m_NetworkId); |
| 253 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 254 | // Unload the network memhandles from the threadpool |
| 255 | if (m_AsyncModelExecutionEnabled) |
| 256 | { |
| 257 | m_Threadpool->UnloadMemHandles(m_NetworkId); |
| 258 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 259 | } |
| 260 | |
| 261 | template<typename HalVersion> |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 262 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::execute(const V1_0::Request& request, |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 263 | const ::android::sp<V1_0::IExecutionCallback>& callback) |
| 264 | { |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 265 | if (callback.get() == nullptr) |
| 266 | { |
| 267 | ALOGE("ArmnnPreparedModel_1_2::execute invalid callback passed"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 268 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 269 | } |
| 270 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 271 | auto cb = [callback](V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 272 | std::vector<V1_2::OutputShape> outputShapes, |
| 273 | const V1_2::Timing& timing, |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 274 | std::string callingFunction) |
| 275 | { |
| 276 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 277 | }; |
| 278 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 279 | return Execute(request, V1_2::MeasureTiming::NO, cb); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 280 | } |
| 281 | |
| 282 | template<typename HalVersion> |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 283 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::execute_1_2( |
| 284 | const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 285 | V1_2::MeasureTiming measureTiming, |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 286 | const sp<V1_2::IExecutionCallback>& callback) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 287 | { |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 288 | if (callback.get() == nullptr) |
| 289 | { |
| 290 | ALOGE("ArmnnPreparedModel_1_2::execute_1_2 invalid callback passed"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 291 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 292 | } |
| 293 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 294 | auto cb = [callback](V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 295 | std::vector<V1_2::OutputShape> outputShapes, |
| 296 | const V1_2::Timing& timing, |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 297 | std::string callingFunction) |
| 298 | { |
| 299 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 300 | }; |
| 301 | |
| 302 | return Execute(request, measureTiming, cb); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 303 | } |
| 304 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 305 | template<typename HalVersion> |
| 306 | Return<V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::PrepareMemoryForInputs( |
| 307 | armnn::InputTensors& inputs, |
| 308 | const V1_0::Request& request, |
| 309 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 310 | { |
| 311 | inputs.reserve(request.inputs.size()); |
| 312 | for (unsigned int i = 0; i < request.inputs.size(); i++) |
| 313 | { |
| 314 | const auto& inputArg = request.inputs[i]; |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 315 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 316 | // inputs (of type InputTensors) is composed of a vector of ConstTensors. |
| 317 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 318 | inputTensorInfo.SetConstant(); |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 319 | auto result = ValidateRequestArgument<V1_0::ErrorStatus, V1_0::Request>(request, |
| 320 | inputTensorInfo, |
| 321 | inputArg, |
| 322 | "input"); |
| 323 | |
| 324 | if (result != V1_0::ErrorStatus::NONE) |
| 325 | { |
| 326 | return result; |
| 327 | } |
| 328 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 329 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools); |
| 330 | |
| 331 | if (inputTensor.GetMemoryArea() == nullptr) |
| 332 | { |
| 333 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
| 334 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 335 | } |
| 336 | |
| 337 | inputs.emplace_back(i, inputTensor); |
| 338 | } |
| 339 | |
| 340 | return V1_0::ErrorStatus::NONE; |
| 341 | } |
| 342 | |
| 343 | template<typename HalVersion> |
| 344 | Return<V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::PrepareMemoryForOutputs( |
| 345 | armnn::OutputTensors& outputs, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 346 | std::vector<V1_2::OutputShape> &outputShapes, |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 347 | const V1_0::Request& request, |
| 348 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 349 | { |
| 350 | outputs.reserve(request.outputs.size()); |
| 351 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 352 | { |
| 353 | const auto& outputArg = request.outputs[i]; |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 354 | armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 355 | auto result = ValidateRequestArgument<V1_0::ErrorStatus, V1_0::Request>(request, |
| 356 | outputTensorInfo, |
| 357 | outputArg, |
| 358 | "output"); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 359 | |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 360 | if (result != V1_0::ErrorStatus::NONE) |
| 361 | { |
| 362 | return result; |
| 363 | } |
| 364 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 365 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools); |
| 366 | if (outputTensor.GetMemoryArea() == nullptr) |
| 367 | { |
| 368 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
| 369 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 370 | } |
| 371 | |
| 372 | const size_t outputSize = outputTensorInfo.GetNumBytes(); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 373 | |
| 374 | if (outputArg.location.length < outputSize) |
| 375 | { |
| 376 | ALOGW("ArmnnPreparedModel_1_2::Execute failed: outputArg.location.length < outputSize"); |
| 377 | return V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 378 | } |
| 379 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 380 | #if !defined(ARMNN_ANDROID_S) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 381 | const size_t bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size(); |
| 382 | if (bufferSize < outputSize) |
| 383 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 384 | ALOGW("ArmnnPreparedModel_1_2::Execute failed: bufferSize < outputSize"); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 385 | return V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 386 | } |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 387 | #else |
Kevin May | dc873f6 | 2021-06-14 11:21:11 +0100 | [diff] [blame] | 388 | const size_t bufferSize = memPools.at(outputArg.location.poolIndex).getSize(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 389 | if (bufferSize < outputSize) |
| 390 | { |
| 391 | ALOGW("ArmnnPreparedModel_1_2::Execute failed bufferSize (%s) < outputSize (%s)", |
| 392 | std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str()); |
| 393 | outputShapes[i].isSufficient = false; |
| 394 | return V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 395 | } |
| 396 | #endif |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 397 | outputs.emplace_back(i, outputTensor); |
| 398 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 399 | } |
| 400 | |
| 401 | return V1_0::ErrorStatus::NONE; |
| 402 | } |
| 403 | |
| 404 | template<typename HalVersion> |
| 405 | Return<V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::PrepareMemoryForIO( |
| 406 | armnn::InputTensors& inputs, |
| 407 | armnn::OutputTensors& outputs, |
| 408 | std::vector<android::nn::RunTimePoolInfo>& memPools, |
| 409 | const V1_0::Request& request, |
| 410 | CallbackAsync_1_2 callback) |
| 411 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 412 | #if !defined(ARMNN_ANDROID_S) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 413 | if (!setRunTimePoolInfosFromHidlMemories(&memPools, request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 414 | #else |
| 415 | if (!setRunTimePoolInfosFromCanonicalMemories(&memPools, uncheckedConvert(request.pools))) |
| 416 | #endif |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 417 | { |
| 418 | callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::execute"); |
| 419 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 420 | } |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 421 | // add the inputs and outputs with their data |
| 422 | try |
| 423 | { |
| 424 | if (PrepareMemoryForInputs(inputs, request, memPools) != V1_0::ErrorStatus::NONE) |
| 425 | { |
| 426 | callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::execute"); |
| 427 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 428 | } |
| 429 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 430 | std::vector<V1_2::OutputShape> outputShapes(request.outputs.size()); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 431 | |
| 432 | auto errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools); |
| 433 | if (errorStatus != V1_0::ErrorStatus::NONE) |
| 434 | { |
| 435 | callback(errorStatus, |
| 436 | outputShapes, |
| 437 | g_NoTiming, |
| 438 | "ArmnnPreparedModel_1_2::Execute"); |
| 439 | return errorStatus; |
| 440 | } |
| 441 | } |
| 442 | catch (armnn::Exception& e) |
| 443 | { |
| 444 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
| 445 | callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::execute"); |
| 446 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 447 | } |
| 448 | catch (std::exception& e) |
| 449 | { |
| 450 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
| 451 | callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::execute"); |
| 452 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 453 | } |
| 454 | |
| 455 | return V1_0::ErrorStatus::NONE; |
| 456 | } |
| 457 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 458 | template<typename HalVersion> |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 459 | Return<void> ArmnnPreparedModel_1_2<HalVersion>::executeSynchronously(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 460 | V1_2::MeasureTiming measureTiming, |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 461 | executeSynchronously_cb cb) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 462 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 463 | if (!m_PreparedFromCache) |
| 464 | { |
| 465 | ALOGV("ArmnnPreparedModel_1_2::executeSynchronously(): %s", GetModelSummary(m_Model).c_str()); |
| 466 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 467 | m_RequestCount++; |
| 468 | |
| 469 | if (cb == nullptr) |
| 470 | { |
| 471 | ALOGE("ArmnnPreparedModel_1_2::executeSynchronously invalid callback passed"); |
| 472 | return Void(); |
| 473 | } |
| 474 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 475 | TimePoint driverStart; |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 476 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 477 | if (measureTiming == V1_2::MeasureTiming::YES) |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 478 | { |
| 479 | driverStart = Now(); |
| 480 | } |
| 481 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 482 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 483 | { |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 484 | ALOGE("ArmnnPreparedModel_1_2::executeSynchronously invalid request model"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 485 | cb(V1_0::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 486 | return Void(); |
| 487 | } |
| 488 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 489 | auto cbWrapper = [cb](V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 490 | std::vector<V1_2::OutputShape> outputShapes, |
| 491 | const V1_2::Timing& timing, |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 492 | std::string) |
| 493 | { |
| 494 | cb(errorStatus, outputShapes, timing); |
| 495 | }; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 496 | |
| 497 | // map the memory pool into shared pointers |
| 498 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 499 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 500 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 501 | // allocate the tensors on the heap, as they are passed to the request thread |
| 502 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 503 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 504 | |
| 505 | auto prepareStatus = PrepareMemoryForIO(*inputs, *outputs, *memPools, request, cbWrapper); |
| 506 | if (prepareStatus != V1_0::ErrorStatus::NONE) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 507 | { |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 508 | return Void(); |
| 509 | } |
| 510 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 511 | ALOGV("ArmnnPreparedModel_1_2::executeSynchronously() before Execution"); |
| 512 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 513 | CallbackContext_1_2 cbCtx; |
| 514 | cbCtx.callback = cbWrapper; |
| 515 | cbCtx.ctx.measureTimings = measureTiming; |
| 516 | cbCtx.ctx.driverStart = driverStart; |
| 517 | ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 518 | |
| 519 | return Void(); |
| 520 | } |
| 521 | |
| 522 | template<typename HalVersion> |
| 523 | template<typename CallbackContext> |
| 524 | bool ArmnnPreparedModel_1_2<HalVersion>::ExecuteGraph( |
| 525 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 526 | armnn::InputTensors& inputTensors, |
| 527 | armnn::OutputTensors& outputTensors, |
| 528 | CallbackContext cb) |
| 529 | { |
| 530 | ALOGV("ArmnnPreparedModel_1_2::ExecuteGraph(...)"); |
| 531 | |
| 532 | TimePoint driverEnd, deviceStart, deviceEnd; |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 533 | // Capture the graph execution start time. |
| 534 | std::chrono::time_point<std::chrono::system_clock> graphExecutionStart = std::chrono::system_clock::now(); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 535 | |
| 536 | DumpTensorsIfRequired("Input", inputTensors); |
| 537 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 538 | std::vector<V1_2::OutputShape> outputShapes(outputTensors.size()); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 539 | for (unsigned int i = 0; i < outputTensors.size(); i++) |
| 540 | { |
| 541 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors[i]; |
| 542 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 543 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 544 | |
| 545 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 546 | } |
| 547 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 548 | // run it |
| 549 | try |
| 550 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 551 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 552 | { |
| 553 | deviceStart = Now(); |
| 554 | } |
| 555 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 556 | armnn::Status status; |
| 557 | if (m_AsyncModelExecutionEnabled) |
| 558 | { |
| 559 | ALOGW("ArmnnPreparedModel_1_2::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 560 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 561 | } |
| 562 | else |
| 563 | { |
| 564 | ALOGW("ArmnnPreparedModel_1_2::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 565 | |
| 566 | // Create a vector of Input and Output Ids which can be imported. An empty vector means all will be copied. |
| 567 | std::vector<armnn::ImportedInputId> importedInputIds; |
| 568 | if (m_EnableImport) |
| 569 | { |
| 570 | importedInputIds = m_Runtime->ImportInputs(m_NetworkId, inputTensors, armnn::MemorySource::Malloc); |
| 571 | } |
| 572 | std::vector<armnn::ImportedOutputId> importedOutputIds; |
| 573 | if (m_EnableExport) |
| 574 | { |
| 575 | importedOutputIds = m_Runtime->ImportOutputs(m_NetworkId, outputTensors, armnn::MemorySource::Malloc); |
| 576 | } |
| 577 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors, |
| 578 | importedInputIds, importedOutputIds); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 579 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 580 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 581 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 582 | { |
| 583 | deviceEnd = Now(); |
| 584 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 585 | if (status != armnn::Status::Success) |
| 586 | { |
| 587 | ALOGW("EnqueueWorkload failed"); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 588 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, |
| 589 | "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 590 | return false; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 591 | } |
| 592 | } |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 593 | catch (armnn::Exception& e) |
| 594 | { |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 595 | ALOGW("armnn:Exception caught from EnqueueWorkload: %s", e.what()); |
| 596 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 597 | return false; |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 598 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 599 | catch (std::exception& e) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 600 | { |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 601 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 602 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 603 | return false; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 604 | } |
| 605 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 606 | CommitPools(*pMemPools); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 607 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 608 | DumpTensorsIfRequired("Output", outputTensors); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 609 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 610 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 611 | { |
| 612 | driverEnd = Now(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 613 | V1_2::Timing timing; |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 614 | timing.timeOnDevice = MicrosecondsDuration(deviceEnd, deviceStart); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 615 | timing.timeInDriver = MicrosecondsDuration(driverEnd, cb.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 616 | ALOGV("ArmnnPreparedModel_1_2::execute timing - Device = %lu Driver = %lu", |
| 617 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 618 | cb.callback(V1_0::ErrorStatus::NONE, outputShapes, timing, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 619 | } else { |
| 620 | cb.callback(V1_0::ErrorStatus::NONE, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 621 | } |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 622 | |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 623 | // Log the total time in this call. This is a good number to compare to that printed out by |
| 624 | // RuntimeImpl::EnqueueWorkload. The difference should be the execution overhead of the driver. |
| 625 | ALOGI("ArmnnPreparedModel_1_2::ExecuteGraph Execution time = %lld µs", |
| 626 | std::chrono::duration_cast<std::chrono::microseconds> |
| 627 | (std::chrono::system_clock::now() - graphExecutionStart).count()); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 628 | return true; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 629 | } |
| 630 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 631 | template<typename HalVersion> |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 632 | bool ArmnnPreparedModel_1_2<HalVersion>::ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 633 | { |
| 634 | std::vector<std::vector<char>> storage; |
| 635 | armnn::InputTensors inputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 636 | for (unsigned int i = 0; i < numInputs; i++) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 637 | { |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 638 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 639 | // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors. |
| 640 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 641 | inputTensorInfo.SetConstant(); |
| 642 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 643 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 644 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 645 | |
| 646 | inputTensors.emplace_back(i, inputTensor); |
| 647 | } |
| 648 | |
| 649 | armnn::OutputTensors outputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 650 | for (unsigned int i = 0; i < numOutputs; i++) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 651 | { |
| 652 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 653 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 654 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 655 | |
| 656 | outputTensors.emplace_back(i, outputTensor); |
| 657 | } |
| 658 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 659 | auto nullCallback = [](V1_0::ErrorStatus, std::vector<V1_2::OutputShape>, const V1_2::Timing&, std::string) {}; |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 660 | CallbackContext_1_2 callbackContext; |
| 661 | callbackContext.callback = nullCallback; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 662 | callbackContext.ctx.measureTimings = V1_2::MeasureTiming::NO; |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 663 | auto memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>(); |
| 664 | return ExecuteGraph(memPools, |
| 665 | inputTensors, |
| 666 | outputTensors, |
| 667 | callbackContext); |
| 668 | } |
| 669 | |
| 670 | template<typename HalVersion> |
| 671 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_2<HalVersion>::Execute(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 672 | V1_2::MeasureTiming measureTiming, |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 673 | CallbackAsync_1_2 callback) |
| 674 | { |
| 675 | ExecutionContext_1_2 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 676 | if (measureTiming == V1_2::MeasureTiming::YES) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 677 | { |
| 678 | ctx.measureTimings = measureTiming; |
| 679 | ctx.driverStart = Now(); |
| 680 | } |
| 681 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 682 | if (!m_PreparedFromCache) |
| 683 | { |
| 684 | ALOGV("ArmnnPreparedModel_1_2::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 685 | } |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 686 | m_RequestCount++; |
| 687 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 688 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 689 | { |
| 690 | callback(V1_0::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_2::execute"); |
| 691 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 692 | } |
| 693 | |
| 694 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 695 | { |
| 696 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&callback)); |
| 697 | } |
| 698 | |
| 699 | // map the memory pool into shared pointers |
| 700 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 701 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 702 | |
| 703 | // allocate the tensors on the heap, as they are passed to the request thread |
| 704 | auto inputTensors = std::make_shared<armnn::InputTensors>(); |
| 705 | auto outputTensors = std::make_shared<armnn::OutputTensors>(); |
| 706 | |
| 707 | auto prepareStatus = PrepareMemoryForIO(*inputTensors, *outputTensors, *memPools, request, callback); |
| 708 | switch(prepareStatus) |
| 709 | { |
| 710 | case V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE: |
| 711 | return V1_0::ErrorStatus::NONE; |
| 712 | case V1_0::ErrorStatus::GENERAL_FAILURE: |
| 713 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 714 | default: |
| 715 | {} |
| 716 | } |
| 717 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 718 | |
| 719 | // post the request for asynchronous execution |
| 720 | CallbackContext_1_2 cb; |
| 721 | cb.callback = callback; |
| 722 | cb.ctx = ctx; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 723 | |
| 724 | if (m_AsyncModelExecutionEnabled) |
| 725 | { |
| 726 | ALOGV("ArmnnPreparedModel_1_2::execute(...) before ScheduleGraphForExecution"); |
| 727 | ScheduleGraphForExecution(memPools, inputTensors, outputTensors, cb); |
| 728 | ALOGV("ArmnnPreparedModel_1_2::execute(...) after ScheduleGraphForExecution"); |
| 729 | return V1_0::ErrorStatus::NONE; |
| 730 | } |
| 731 | |
| 732 | ALOGV("ArmnnPreparedModel_1_2::execute(...) before PostMsg"); |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 733 | m_RequestThread.PostMsg(this, memPools, inputTensors, outputTensors, cb); |
| 734 | ALOGV("ArmnnPreparedModel_1_2::execute(...) after PostMsg"); |
| 735 | return V1_0::ErrorStatus::NONE; |
| 736 | } |
| 737 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 738 | template<typename HalVersion> |
| 739 | Return<void> ArmnnPreparedModel_1_2<HalVersion>::configureExecutionBurst( |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 740 | const sp<V1_2::IBurstCallback>& callback, |
| 741 | const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, |
| 742 | const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, |
| 743 | V1_2::IPreparedModel::configureExecutionBurst_cb cb) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 744 | { |
| 745 | ALOGV("ArmnnPreparedModel_1_2::configureExecutionBurst"); |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 746 | const sp<V1_2::IBurstContext> burst = ExecutionBurstServer::create(callback, |
| 747 | requestChannel, |
| 748 | resultChannel, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 749 | this); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 750 | |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 751 | if (burst == nullptr) |
| 752 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 753 | cb(V1_0::ErrorStatus::GENERAL_FAILURE, {}); |
Mike Kelly | 4438151 | 2019-07-08 17:37:35 +0100 | [diff] [blame] | 754 | } |
| 755 | else |
| 756 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 757 | cb(V1_0::ErrorStatus::NONE, burst); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 758 | } |
| 759 | return Void(); |
| 760 | } |
| 761 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 762 | /// Schedule the graph prepared from the request for execution |
| 763 | template<typename HalVersion> |
| 764 | template<typename CallbackContext> |
| 765 | void ArmnnPreparedModel_1_2<HalVersion>::ScheduleGraphForExecution( |
| 766 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 767 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 768 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 769 | CallbackContext callbackContext) |
| 770 | { |
| 771 | ALOGV("ArmnnPreparedModel_1_2::ScheduleGraphForExecution(...)"); |
| 772 | |
| 773 | DumpTensorsIfRequired("Input", *inputTensors); |
| 774 | |
| 775 | unsigned int outputTensorSize = outputTensors.get()->size(); |
| 776 | std::vector<V1_2::OutputShape> outputShapes(outputTensorSize); |
| 777 | for (unsigned int i = 0; i < outputTensorSize; i++) |
| 778 | { |
| 779 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors.get()->at(i); |
| 780 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 781 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 782 | |
| 783 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 784 | } |
| 785 | |
| 786 | auto tpCb = std::make_shared< |
| 787 | ArmnnThreadPoolCallback_1_2<CallbackContext_1_2>>(this, |
| 788 | pMemPools, |
| 789 | outputShapes, |
| 790 | inputTensors, |
| 791 | outputTensors, |
| 792 | callbackContext); |
| 793 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 794 | m_Threadpool->Schedule(m_NetworkId, |
| 795 | *tpCb->m_InputTensors, |
| 796 | *tpCb->m_OutputTensors, |
| 797 | armnn::QosExecPriority::Medium, |
| 798 | tpCb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 799 | ALOGV("ArmnnPreparedModel_1_2::ScheduleGraphForExecution end"); |
| 800 | } |
| 801 | |
| 802 | template<typename HalVersion> |
| 803 | template <typename CallbackContext> |
| 804 | void ArmnnPreparedModel_1_2<HalVersion>::ArmnnThreadPoolCallback_1_2<CallbackContext>::Notify( |
| 805 | armnn::Status status, armnn::InferenceTimingPair timeTaken) |
| 806 | { |
| 807 | ALOGV("ArmnnPreparedModel_1_2::ArmnnThreadPoolCallback_1_2 Notify"); |
| 808 | |
| 809 | TimePoint driverEnd; |
| 810 | |
| 811 | CommitPools(*m_MemPools); |
| 812 | |
| 813 | m_Model->DumpTensorsIfRequired("Output", *m_OutputTensors); |
| 814 | |
| 815 | if (status != armnn::Status::Success) |
| 816 | { |
| 817 | ALOGW("ArmnnThreadPoolCallback::Notify EnqueueWorkload failed"); |
| 818 | m_CallbackContext.callback( |
| 819 | V1_0::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel::ExecuteGraph"); |
| 820 | return; |
| 821 | } |
| 822 | |
| 823 | if (m_CallbackContext.ctx.measureTimings == V1_2::MeasureTiming::YES) |
| 824 | { |
| 825 | driverEnd = std::chrono::steady_clock::now(); |
| 826 | V1_2::Timing timing; |
| 827 | timing.timeOnDevice = MicrosecondsDuration(timeTaken.second, timeTaken.first); |
| 828 | timing.timeInDriver = MicrosecondsDuration(driverEnd, m_CallbackContext.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 829 | ALOGV("ArmnnPreparedModel_1_2::execute timing - Device = %lu Driver = %lu", |
| 830 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 831 | m_CallbackContext.callback( |
| 832 | V1_0::ErrorStatus::NONE, m_OutputShapes, timing, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 833 | } else { |
| 834 | m_CallbackContext.callback( |
| 835 | V1_0::ErrorStatus::NONE, m_OutputShapes, g_NoTiming, "ArmnnPreparedModel_1_2::ExecuteGraph"); |
| 836 | } |
| 837 | return; |
| 838 | } |
| 839 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 840 | #if defined(ARMNN_ANDROID_NN_V1_2) || defined(ARMNN_ANDROID_NN_V1_3) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 841 | template class ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>; |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 842 | template bool ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>::ExecuteGraph<CallbackContext_1_2>( |
| 843 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 844 | armnn::InputTensors& pInputTensors, |
| 845 | armnn::OutputTensors& pOutputTensors, |
| 846 | CallbackContext_1_2 cb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 847 | |
| 848 | template void ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>::ScheduleGraphForExecution<CallbackContext_1_2>( |
| 849 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 850 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 851 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 852 | CallbackContext_1_2 callbackContext); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 853 | #endif |
| 854 | |
| 855 | } // namespace armnn_driver |