Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1 | // |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 5 | // Note: the ArmnnFencedExecutionCallback and code snippet in the executeFenced() function |
| 6 | // in this file is based on Android code |
| 7 | // under the Apache 2.0 license. See comments below for details. |
| 8 | // |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 9 | |
| 10 | #define LOG_TAG "ArmnnDriver" |
| 11 | |
| 12 | #include "ArmnnPreparedModel_1_3.hpp" |
| 13 | #include "Utils.hpp" |
| 14 | |
| 15 | #include <Utils.h> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 16 | #include <android/sync.h> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 17 | #include <log/log.h> |
| 18 | #include <OperationsUtils.h> |
| 19 | #include <ExecutionBurstServer.h> |
| 20 | #include <ValidateHal.h> |
| 21 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 22 | #include <cinttypes> |
| 23 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 24 | #ifdef ARMNN_ANDROID_S |
| 25 | #include <LegacyUtils.h> |
| 26 | #endif |
| 27 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 28 | using namespace android; |
| 29 | using namespace android::hardware; |
| 30 | |
| 31 | namespace { |
| 32 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 33 | static const V1_2::Timing g_NoTiming = {.timeOnDevice = UINT64_MAX, .timeInDriver = UINT64_MAX}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 34 | using namespace armnn_driver; |
| 35 | using TimePoint = std::chrono::steady_clock::time_point; |
| 36 | |
| 37 | TimePoint Now() |
| 38 | { |
| 39 | return std::chrono::steady_clock::now(); |
| 40 | } |
| 41 | |
| 42 | unsigned long MicrosecondsDuration(TimePoint endPoint, TimePoint startPoint) |
| 43 | { |
| 44 | return static_cast<unsigned long>(std::chrono::duration_cast<std::chrono::microseconds>( |
| 45 | endPoint - startPoint).count()); |
| 46 | } |
| 47 | |
| 48 | void NotifyCallbackAndCheck(const ::android::sp<V1_0::IExecutionCallback>& callback, |
| 49 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 50 | std::vector<V1_2::OutputShape>, |
| 51 | const V1_2::Timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 52 | std::string callingFunction) |
| 53 | { |
| 54 | Return<void> returned = callback->notify(convertToV1_0(errorStatus)); |
| 55 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 56 | if (!returned.isOk()) |
| 57 | { |
| 58 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 59 | callingFunction.c_str(), returned.description().c_str()); |
| 60 | } |
| 61 | } |
| 62 | |
| 63 | void NotifyCallbackAndCheck(const ::android::sp<V1_2::IExecutionCallback>& callback, |
| 64 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 65 | std::vector<V1_2::OutputShape> outputShapes, |
| 66 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 67 | std::string callingFunction) |
| 68 | { |
| 69 | Return<void> returned = callback->notify_1_2(convertToV1_0(errorStatus), outputShapes, timing); |
| 70 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 71 | if (!returned.isOk()) |
| 72 | { |
| 73 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 74 | callingFunction.c_str(), returned.description().c_str()); |
| 75 | } |
| 76 | } |
| 77 | |
| 78 | void NotifyCallbackAndCheck(const ::android::sp<V1_3::IExecutionCallback>& callback, |
| 79 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 80 | std::vector<V1_2::OutputShape> outputShapes, |
| 81 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 82 | std::string callingFunction) |
| 83 | { |
| 84 | Return<void> returned = callback->notify_1_3(errorStatus, outputShapes, timing); |
| 85 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 86 | if (!returned.isOk()) |
| 87 | { |
| 88 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 89 | callingFunction.c_str(), returned.description().c_str()); |
| 90 | } |
| 91 | } |
| 92 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 93 | bool ValidateRequestArgument(const V1_0::RequestArgument& requestArg, const armnn::TensorInfo& tensorInfo) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 94 | { |
| 95 | if (requestArg.dimensions.size() != 0) |
| 96 | { |
| 97 | if (requestArg.dimensions.size() != tensorInfo.GetNumDimensions()) |
| 98 | { |
| 99 | ALOGE("Mismatched dimensions (request argument: %zu, expected: %u)", |
| 100 | requestArg.dimensions.size(), tensorInfo.GetNumDimensions()); |
| 101 | return false; |
| 102 | } |
| 103 | |
| 104 | for (unsigned int d = 0; d < tensorInfo.GetNumDimensions(); ++d) |
| 105 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 106 | if (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.GetShape()[d]) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 107 | { |
| 108 | ALOGE("Mismatched size for dimension %d (request argument: %u, expected %u)", |
| 109 | d, requestArg.dimensions[d], tensorInfo.GetShape()[d]); |
| 110 | return false; |
| 111 | } |
| 112 | } |
| 113 | } |
| 114 | |
| 115 | return true; |
| 116 | } |
| 117 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 118 | armnn::Tensor GetTensorForRequestArgument(const V1_0::RequestArgument& requestArg, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 119 | const armnn::TensorInfo& tensorInfo, |
| 120 | const std::vector<::android::nn::RunTimePoolInfo>& requestPools) |
| 121 | { |
| 122 | if (!ValidateRequestArgument(requestArg, tensorInfo)) |
| 123 | { |
| 124 | return armnn::Tensor(); |
| 125 | } |
| 126 | |
| 127 | return armnn::Tensor(tensorInfo, GetMemoryFromPool(requestArg.location, requestPools)); |
| 128 | } |
| 129 | |
| 130 | inline std::string BuildTensorName(const char* tensorNamePrefix, std::size_t index) |
| 131 | { |
| 132 | return tensorNamePrefix + std::to_string(index); |
| 133 | } |
| 134 | |
| 135 | } // anonymous namespace |
| 136 | |
| 137 | using namespace android::hardware; |
| 138 | |
| 139 | namespace armnn_driver |
| 140 | { |
| 141 | |
| 142 | template<typename HalVersion> |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 143 | RequestThread_1_3<ArmnnPreparedModel_1_3, HalVersion, CallbackContext_1_3> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 144 | ArmnnPreparedModel_1_3<HalVersion>::m_RequestThread; |
| 145 | |
| 146 | template<typename HalVersion> |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 147 | std::unique_ptr<armnn::Threadpool> ArmnnPreparedModel_1_3<HalVersion>::m_Threadpool(nullptr); |
| 148 | |
| 149 | template<typename HalVersion> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 150 | template<typename TensorBindingCollection> |
| 151 | void ArmnnPreparedModel_1_3<HalVersion>::DumpTensorsIfRequired(char const* tensorNamePrefix, |
| 152 | const TensorBindingCollection& tensorBindings) |
| 153 | { |
| 154 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 155 | { |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 156 | const std::string requestName = std::to_string(m_NetworkId) + "_" + std::to_string(m_RequestCount) + ".dump"; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 157 | for (std::size_t i = 0u; i < tensorBindings.size(); ++i) |
| 158 | { |
| 159 | DumpTensor(m_RequestInputsAndOutputsDumpDir, |
| 160 | requestName, |
| 161 | BuildTensorName(tensorNamePrefix, i), |
| 162 | tensorBindings[i].second); |
| 163 | } |
| 164 | } |
| 165 | } |
| 166 | |
| 167 | template<typename HalVersion> |
| 168 | ArmnnPreparedModel_1_3<HalVersion>::ArmnnPreparedModel_1_3(armnn::NetworkId networkId, |
| 169 | armnn::IRuntime* runtime, |
| 170 | const V1_3::Model& model, |
| 171 | const std::string& requestInputsAndOutputsDumpDir, |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 172 | const bool gpuProfilingEnabled, |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 173 | V1_3::Priority priority, |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 174 | const bool asyncModelExecutionEnabled, |
| 175 | const unsigned int numberOfThreads) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 176 | : m_NetworkId(networkId) |
| 177 | , m_Runtime(runtime) |
| 178 | , m_Model(model) |
| 179 | , m_RequestCount(0) |
| 180 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 181 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 182 | , m_ModelPriority(priority) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 183 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 184 | , m_PreparedFromCache(false) |
| 185 | { |
| 186 | // Enable profiling if required. |
| 187 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
| 188 | |
| 189 | if (m_AsyncModelExecutionEnabled) |
| 190 | { |
| 191 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
| 192 | for (unsigned int i=0; i < numberOfThreads; ++i) |
| 193 | { |
| 194 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 195 | } |
| 196 | |
| 197 | if (!m_Threadpool) |
| 198 | { |
| 199 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 200 | } |
| 201 | else |
| 202 | { |
| 203 | m_Threadpool->LoadMemHandles(memHandles); |
| 204 | } |
| 205 | |
| 206 | m_WorkingMemHandle = memHandles.back(); |
| 207 | } |
| 208 | } |
| 209 | |
| 210 | template<typename HalVersion> |
| 211 | ArmnnPreparedModel_1_3<HalVersion>::ArmnnPreparedModel_1_3(armnn::NetworkId networkId, |
| 212 | armnn::IRuntime* runtime, |
| 213 | const std::string& requestInputsAndOutputsDumpDir, |
| 214 | const bool gpuProfilingEnabled, |
| 215 | V1_3::Priority priority, |
| 216 | const bool asyncModelExecutionEnabled, |
| 217 | const unsigned int numberOfThreads, |
| 218 | const bool preparedFromCache) |
| 219 | : m_NetworkId(networkId) |
| 220 | , m_Runtime(runtime) |
| 221 | , m_RequestCount(0) |
| 222 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 223 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
| 224 | , m_ModelPriority(priority) |
| 225 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
| 226 | , m_PreparedFromCache(preparedFromCache) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 227 | { |
| 228 | // Enable profiling if required. |
| 229 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 230 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 231 | if (m_AsyncModelExecutionEnabled) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 232 | { |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 233 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
Finn Williams | d27c13b | 2021-06-25 10:06:09 +0100 | [diff] [blame] | 234 | for (unsigned int i=0; i < numberOfThreads; ++i) |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 235 | { |
| 236 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 237 | } |
| 238 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 239 | if (!m_Threadpool) |
| 240 | { |
| 241 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 242 | } |
| 243 | else |
| 244 | { |
| 245 | m_Threadpool->LoadMemHandles(memHandles); |
| 246 | } |
| 247 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 248 | m_WorkingMemHandle = memHandles.back(); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 249 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 250 | } |
| 251 | |
| 252 | template<typename HalVersion> |
| 253 | ArmnnPreparedModel_1_3<HalVersion>::~ArmnnPreparedModel_1_3() |
| 254 | { |
| 255 | // Get a hold of the profiler used by this model. |
| 256 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
| 257 | |
| 258 | // Unload the network associated with this model. |
| 259 | m_Runtime->UnloadNetwork(m_NetworkId); |
| 260 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 261 | // Unload the network memhandles from the threadpool |
| 262 | if (m_AsyncModelExecutionEnabled) |
| 263 | { |
| 264 | m_Threadpool->UnloadMemHandles(m_NetworkId); |
| 265 | } |
| 266 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 267 | // Dump the profiling info to a file if required. |
| 268 | DumpJsonProfilingIfRequired(m_GpuProfilingEnabled, m_RequestInputsAndOutputsDumpDir, m_NetworkId, profiler.get()); |
| 269 | } |
| 270 | |
| 271 | template<typename HalVersion> |
| 272 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute(const V1_0::Request& request, |
| 273 | const ::android::sp<V1_0::IExecutionCallback>& callback) |
| 274 | { |
| 275 | if (callback.get() == nullptr) |
| 276 | { |
| 277 | ALOGE("ArmnnPreparedModel_1_3::execute invalid callback passed"); |
| 278 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 279 | } |
| 280 | |
| 281 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 282 | std::vector<V1_2::OutputShape> outputShapes, |
| 283 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 284 | std::string callingFunction) |
| 285 | { |
| 286 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 287 | }; |
| 288 | |
| 289 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 290 | return convertToV1_0(Execute(convertToV1_3(request), V1_2::MeasureTiming::NO, cb)); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 291 | } |
| 292 | |
| 293 | template<typename HalVersion> |
| 294 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_2( |
| 295 | const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 296 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 297 | const sp<V1_2::IExecutionCallback>& callback) |
| 298 | { |
| 299 | if (callback.get() == nullptr) |
| 300 | { |
| 301 | ALOGE("ArmnnPreparedModel_1_3::execute_1_2 invalid callback passed"); |
| 302 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 303 | } |
| 304 | |
| 305 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 306 | std::vector<V1_2::OutputShape> outputShapes, |
| 307 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 308 | std::string callingFunction) |
| 309 | { |
| 310 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 311 | }; |
| 312 | |
| 313 | return convertToV1_0(Execute(convertToV1_3(request), measureTiming, cb)); |
| 314 | } |
| 315 | |
| 316 | template<typename HalVersion> |
| 317 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_3( |
| 318 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 319 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 320 | const V1_3::OptionalTimePoint&, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 321 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 322 | const sp<V1_3::IExecutionCallback>& callback) |
| 323 | { |
| 324 | if (callback.get() == nullptr) |
| 325 | { |
| 326 | ALOGE("ArmnnPreparedModel_1_3::execute_1_3 invalid callback passed"); |
| 327 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 328 | } |
| 329 | |
| 330 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 331 | std::vector<V1_2::OutputShape> outputShapes, |
| 332 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 333 | std::string callingFunction) |
| 334 | { |
| 335 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 336 | }; |
| 337 | |
| 338 | return Execute(request, measureTiming, cb); |
| 339 | } |
| 340 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 341 | /// This class is inspired by the sample implementation in Android named SampleFencedExecutionCallback. |
| 342 | /// The original code is licensed under Apache-2.0 and can be found at the following link: |
| 343 | /// https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.h |
| 344 | class ArmnnFencedExecutionCallback : public V1_3::IFencedExecutionCallback |
| 345 | { |
| 346 | public: |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 347 | ArmnnFencedExecutionCallback(V1_3::ErrorStatus errorStatus, V1_2::Timing timing, V1_2::Timing fenceTiming) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 348 | : m_ErrorStatus(errorStatus), m_Timing(timing), m_FenceTiming(fenceTiming) {} |
| 349 | ~ArmnnFencedExecutionCallback() {} |
| 350 | |
| 351 | Return<void> getExecutionInfo(getExecutionInfo_cb callback) override |
| 352 | { |
| 353 | callback(m_ErrorStatus, m_Timing, m_FenceTiming); |
| 354 | return Void(); |
| 355 | } |
| 356 | private: |
| 357 | V1_3::ErrorStatus m_ErrorStatus; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 358 | V1_2::Timing m_Timing; |
| 359 | V1_2::Timing m_FenceTiming; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 360 | }; |
| 361 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 362 | template<typename HalVersion> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 363 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeFenced(const V1_3::Request& request, |
| 364 | const hidl_vec<hidl_handle>& fenceWaitFor, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 365 | V1_2::MeasureTiming measureTiming, |
| 366 | const V1_3::OptionalTimePoint& deadline, |
| 367 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 368 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 369 | executeFenced_cb cb) |
| 370 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 371 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...)"); |
| 372 | if (cb == nullptr) |
| 373 | { |
| 374 | ALOGE("ArmnnPreparedModel_1_3::executeFenced invalid callback passed"); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 375 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 376 | return Void(); |
| 377 | } |
| 378 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 379 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 380 | { |
| 381 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter deadline is set but not supported."); |
| 382 | } |
| 383 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 384 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 385 | { |
| 386 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter loopTimeoutDuration is set but not supported."); |
| 387 | } |
| 388 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 389 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model, /*allowUnspecifiedOutput=*/false)) |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 390 | { |
| 391 | ALOGV("ArmnnPreparedModel_1_3::executeFenced outputs must be specified for fenced execution "); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 392 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 393 | return Void(); |
| 394 | } |
| 395 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 396 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 397 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 398 | { |
| 399 | ctx.measureTimings = measureTiming; |
| 400 | ctx.driverStart = Now(); |
| 401 | } |
| 402 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 403 | if (!m_PreparedFromCache) |
| 404 | { |
| 405 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(): %s", GetModelSummary(m_Model).c_str()); |
| 406 | } |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 407 | m_RequestCount++; |
| 408 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 409 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 410 | { |
| 411 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&cb)); |
| 412 | } |
| 413 | |
| 414 | // This code snippet is inspired by the sample implementation in Android named SampleDriver::executeFenced() |
| 415 | // function. The original code is licensed under Apache-2.0 and can be found at the following link: |
| 416 | // https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.cpp |
| 417 | const auto fenceSize = fenceWaitFor.size(); |
| 418 | for (unsigned int index = 0; index < fenceSize; ++index) |
| 419 | { |
| 420 | auto fenceNativeHandle = fenceWaitFor[index].getNativeHandle(); |
| 421 | if (!fenceNativeHandle) |
| 422 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 423 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 424 | return Void(); |
| 425 | } |
| 426 | |
| 427 | if (sync_wait(fenceNativeHandle->data[0], -1) < 0) |
| 428 | { |
| 429 | ALOGE("ArmnnPreparedModel_1_3::executeFenced sync fence failed."); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 430 | cb(V1_3::ErrorStatus::GENERAL_FAILURE, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 431 | return Void(); |
| 432 | } |
| 433 | } |
| 434 | |
| 435 | TimePoint fenceExecutionStart; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 436 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 437 | { |
| 438 | fenceExecutionStart = Now(); |
| 439 | } |
| 440 | |
| 441 | // map the memory pool into shared pointers |
| 442 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 443 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 444 | |
| 445 | // allocate the tensors on the heap, as they are passed to the request thread |
| 446 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 447 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 448 | |
| 449 | auto [status, outShapes, timings, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 450 | if (status != V1_3::ErrorStatus::NONE) |
| 451 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 452 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 453 | return Void(); |
| 454 | } |
| 455 | |
| 456 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) before ExecuteGraph"); |
| 457 | |
| 458 | // call it with nullCallback for now as we will report the error status from here.. |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 459 | auto nullCallback = [](V1_3::ErrorStatus, std::vector<V1_2::OutputShape>, const V1_2::Timing&, std::string) {}; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 460 | CallbackContext_1_3 cbCtx; |
| 461 | cbCtx.callback = nullCallback; |
| 462 | cbCtx.ctx = ctx; |
| 463 | |
| 464 | auto errorStatus = ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 465 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 466 | { |
| 467 | cb(errorStatus, hidl_handle(nullptr), nullptr); |
| 468 | return Void(); |
| 469 | } |
| 470 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) after ExecuteGraph"); |
| 471 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 472 | V1_2::Timing timing = g_NoTiming; |
| 473 | V1_2::Timing fenceTiming = g_NoTiming; |
| 474 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 475 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 476 | fenceTiming.timeOnDevice = MicrosecondsDuration(ctx.deviceEnd, ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 477 | fenceTiming.timeInDriver = MicrosecondsDuration(ctx.driverEnd, fenceExecutionStart); |
| 478 | ALOGV("ArmnnPreparedModel_1_3::fenceFinishExecutionTiming - Device = %lu Driver = %lu", |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 479 | fenceTiming.timeOnDevice, fenceTiming.timeInDriver); |
| 480 | } |
| 481 | |
| 482 | sp<ArmnnFencedExecutionCallback> armnnFencedExecutionCallback = |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 483 | new ArmnnFencedExecutionCallback(V1_3::ErrorStatus::NONE, timing, fenceTiming); |
| 484 | cb(V1_3::ErrorStatus::NONE, hidl_handle(nullptr), armnnFencedExecutionCallback); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 485 | return Void(); |
| 486 | } |
| 487 | |
| 488 | template<typename HalVersion> |
| 489 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForInputs( |
| 490 | armnn::InputTensors& inputs, |
| 491 | const V1_3::Request& request, |
| 492 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 493 | { |
| 494 | inputs.reserve(request.inputs.size()); |
| 495 | for (unsigned int i = 0; i < request.inputs.size(); i++) |
| 496 | { |
| 497 | const auto& inputArg = request.inputs[i]; |
| 498 | |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 499 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 500 | // inputs (of type InputTensors) is composed of a vector of ConstTensors. |
| 501 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 502 | inputTensorInfo.SetConstant(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 503 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools); |
| 504 | |
| 505 | if (inputTensor.GetMemoryArea() == nullptr) |
| 506 | { |
| 507 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
| 508 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 509 | } |
| 510 | |
| 511 | inputs.emplace_back(i, inputTensor); |
| 512 | } |
| 513 | |
| 514 | return V1_3::ErrorStatus::NONE; |
| 515 | } |
| 516 | |
| 517 | template<typename HalVersion> |
| 518 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForOutputs( |
| 519 | armnn::OutputTensors& outputs, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 520 | std::vector<V1_2::OutputShape> &outputShapes, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 521 | const V1_3::Request& request, |
| 522 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 523 | { |
| 524 | outputs.reserve(request.outputs.size()); |
| 525 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 526 | { |
| 527 | const auto& outputArg = request.outputs[i]; |
| 528 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 529 | armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 530 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools); |
| 531 | if (outputTensor.GetMemoryArea() == nullptr) |
| 532 | { |
| 533 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
| 534 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 535 | } |
| 536 | |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 537 | const size_t outputSize = outputTensorInfo.GetNumBytes(); |
| 538 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 539 | unsigned int count = 0; |
| 540 | std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](auto dim) |
| 541 | { |
| 542 | if (dim != 0) |
| 543 | { |
| 544 | outputTensorInfo.GetShape()[count] = dim; |
| 545 | } |
| 546 | else |
| 547 | { |
| 548 | outputTensorInfo.GetShape()[count] = outputArg.dimensions.size(); |
| 549 | } |
| 550 | |
| 551 | count++; |
| 552 | }); |
| 553 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 554 | outputs.emplace_back(i, outputTensor); |
| 555 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 556 | |
| 557 | if (outputArg.location.length < outputSize) |
| 558 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 559 | ALOGW("ArmnnPreparedModel_1_3::Execute failed outputArg.location.length (%s) < outputSize (%s)", |
| 560 | std::to_string(outputArg.location.length).c_str(), std::to_string(outputSize).c_str()); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 561 | outputShapes[i].isSufficient = false; |
| 562 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 563 | } |
| 564 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 565 | size_t bufferSize = 0; |
| 566 | #if !defined(ARMNN_ANDROID_S) |
| 567 | bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 568 | #else |
Kevin May | dc873f6 | 2021-06-14 11:21:11 +0100 | [diff] [blame] | 569 | bufferSize = memPools.at(outputArg.location.poolIndex).getSize(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 570 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 571 | if (bufferSize < outputSize) |
| 572 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 573 | ALOGW("ArmnnPreparedModel_1_3::Execute failed bufferSize (%s) < outputSize (%s)", |
| 574 | std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str()); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 575 | outputShapes[i].isSufficient = false; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 576 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 577 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 578 | } |
| 579 | |
| 580 | return V1_3::ErrorStatus::NONE; |
| 581 | } |
| 582 | |
| 583 | template<typename HalVersion> |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 584 | std::tuple<V1_3::ErrorStatus, hidl_vec<V1_2::OutputShape>, V1_2::Timing, std::string> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 585 | ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForIO(armnn::InputTensors& inputs, |
| 586 | armnn::OutputTensors& outputs, |
| 587 | std::vector<android::nn::RunTimePoolInfo>& memPools, |
| 588 | const V1_3::Request& request) |
| 589 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 590 | #if !defined(ARMNN_ANDROID_S) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 591 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 592 | #else |
| 593 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, uncheckedConvert(request.pools))) |
| 594 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 595 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 596 | return {V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 597 | } |
| 598 | |
| 599 | // add the inputs and outputs with their data |
| 600 | try |
| 601 | { |
| 602 | if (PrepareMemoryForInputs(inputs, request, memPools) != V1_3::ErrorStatus::NONE) |
| 603 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 604 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 605 | } |
| 606 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 607 | std::vector<V1_2::OutputShape> outputShapes(request.outputs.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 608 | |
| 609 | auto errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools); |
| 610 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 611 | { |
| 612 | return {errorStatus, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 613 | } |
| 614 | } |
| 615 | catch (armnn::Exception& e) |
| 616 | { |
| 617 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 618 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 619 | } |
| 620 | catch (std::exception& e) |
| 621 | { |
| 622 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 623 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 624 | } |
| 625 | |
| 626 | return {V1_3::ErrorStatus::NONE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 627 | } |
| 628 | |
| 629 | template<typename HalVersion> |
| 630 | template<typename CallbackContext> |
| 631 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::ExecuteSynchronously(const V1_3::Request& request, |
| 632 | CallbackContext cbCtx) |
| 633 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 634 | if (cbCtx.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 635 | { |
| 636 | cbCtx.ctx.driverStart = Now(); |
| 637 | } |
| 638 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 639 | if (!m_PreparedFromCache && !android::nn::validateRequest(convertToV1_3(request), m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 640 | { |
| 641 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 642 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 643 | {}, |
| 644 | g_NoTiming, |
| 645 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 646 | return Void(); |
| 647 | } |
| 648 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 649 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 650 | { |
| 651 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 652 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 653 | {}, |
| 654 | g_NoTiming, |
| 655 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 656 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 657 | } |
| 658 | |
| 659 | |
| 660 | // map the memory pool into shared pointers |
| 661 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 662 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 663 | |
| 664 | // allocate the tensors on the heap, as they are passed to the request thread |
| 665 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 666 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 667 | |
| 668 | auto [status, outputShapes, timing, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 669 | if (status != V1_3::ErrorStatus::NONE) |
| 670 | { |
| 671 | cbCtx.callback(status, outputShapes, timing, message); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 672 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 673 | } |
| 674 | |
| 675 | ALOGV("ArmnnPreparedModel_1_3::ExecuteSynchronously() before Execution"); |
| 676 | |
| 677 | ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 678 | return Void(); |
| 679 | } |
| 680 | |
| 681 | template<typename HalVersion> |
| 682 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 683 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 684 | executeSynchronously_cb cb) |
| 685 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 686 | if (!m_PreparedFromCache) |
| 687 | { |
| 688 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously(): %s", GetModelSummary(m_Model).c_str()); |
| 689 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 690 | m_RequestCount++; |
| 691 | |
| 692 | if (cb == nullptr) |
| 693 | { |
| 694 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously invalid callback passed"); |
| 695 | return Void(); |
| 696 | } |
| 697 | |
| 698 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 699 | std::vector<V1_2::OutputShape> outputShapes, |
| 700 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 701 | std::string) |
| 702 | { |
| 703 | cb(convertToV1_0(errorStatus), outputShapes, timing); |
| 704 | }; |
| 705 | |
| 706 | CallbackContext_1_3 cbCtx; |
| 707 | cbCtx.callback = cbWrapper; |
| 708 | cbCtx.ctx.measureTimings = measureTiming; |
| 709 | |
| 710 | ExecuteSynchronously(convertToV1_3(request), cbCtx); |
| 711 | return Void(); |
| 712 | } |
| 713 | |
| 714 | template<typename HalVersion> |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 715 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously_1_3( |
| 716 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 717 | V1_2::MeasureTiming measureTiming, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 718 | const V1_3::OptionalTimePoint& deadline, |
| 719 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 720 | executeSynchronously_1_3_cb cb) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 721 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 722 | if (!m_PreparedFromCache) |
| 723 | { |
| 724 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously_1_3(): %s", GetModelSummary(m_Model).c_str()); |
| 725 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 726 | m_RequestCount++; |
| 727 | |
| 728 | if (cb == nullptr) |
| 729 | { |
| 730 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously_1_3 invalid callback passed"); |
| 731 | return Void(); |
| 732 | } |
| 733 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 734 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 735 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 736 | ALOGW("ArmnnPreparedModel_1_3::executeSynchronously_1_3 parameter deadline is set but not supported."); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 737 | } |
| 738 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 739 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 740 | { |
| 741 | ALOGW( |
| 742 | "ArmnnPreparedModel_1_3::executeSynchronously_1_3 parameter loopTimeoutDuration is set but not supported."); |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 743 | } |
| 744 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 745 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 746 | std::vector<V1_2::OutputShape> outputShapes, |
| 747 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 748 | std::string) |
| 749 | { |
| 750 | cb(errorStatus, outputShapes, timing); |
| 751 | }; |
| 752 | |
| 753 | CallbackContext_1_3 cbCtx; |
| 754 | cbCtx.callback = cbWrapper; |
| 755 | cbCtx.ctx.measureTimings = measureTiming; |
| 756 | |
| 757 | ExecuteSynchronously(request, cbCtx); |
| 758 | return Void(); |
| 759 | } |
| 760 | |
| 761 | template<typename HalVersion> |
| 762 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::configureExecutionBurst( |
| 763 | const sp<V1_2::IBurstCallback>& callback, |
| 764 | const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, |
| 765 | const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, |
| 766 | V1_3::IPreparedModel::configureExecutionBurst_cb cb) |
| 767 | { |
| 768 | ALOGV("ArmnnPreparedModel_1_3::configureExecutionBurst"); |
| 769 | const sp<V1_2::IBurstContext> burst = ExecutionBurstServer::create(callback, |
| 770 | requestChannel, |
| 771 | resultChannel, |
| 772 | this); |
| 773 | |
| 774 | if (burst == nullptr) |
| 775 | { |
| 776 | cb(V1_0::ErrorStatus::GENERAL_FAILURE, {}); |
| 777 | } |
| 778 | else |
| 779 | { |
| 780 | cb(V1_0::ErrorStatus::NONE, burst); |
| 781 | } |
| 782 | return Void(); |
| 783 | } |
| 784 | |
| 785 | template<typename HalVersion> |
| 786 | template<typename CallbackContext> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 787 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::ExecuteGraph( |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 788 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 789 | armnn::InputTensors& inputTensors, |
| 790 | armnn::OutputTensors& outputTensors, |
| 791 | CallbackContext cb) |
| 792 | { |
| 793 | ALOGV("ArmnnPreparedModel_1_3::ExecuteGraph(...)"); |
| 794 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 795 | DumpTensorsIfRequired("Input", inputTensors); |
| 796 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 797 | std::vector<V1_2::OutputShape> outputShapes(outputTensors.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 798 | for (unsigned int i = 0; i < outputTensors.size(); i++) |
| 799 | { |
| 800 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors[i]; |
| 801 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 802 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 803 | |
| 804 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 805 | } |
| 806 | |
| 807 | // run it |
| 808 | try |
| 809 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 810 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 811 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 812 | cb.ctx.deviceStart = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 813 | } |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 814 | armnn::Status status; |
| 815 | if (m_AsyncModelExecutionEnabled) |
| 816 | { |
| 817 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 818 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 819 | } |
| 820 | else |
| 821 | { |
| 822 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
| 823 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 824 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 825 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 826 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 827 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 828 | cb.ctx.deviceEnd = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 829 | } |
| 830 | if (status != armnn::Status::Success) |
| 831 | { |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 832 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph EnqueueWorkload failed"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 833 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 834 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 835 | } |
| 836 | } |
| 837 | catch (armnn::Exception& e) |
| 838 | { |
| 839 | ALOGW("armnn:Exception caught from EnqueueWorkload: %s", e.what()); |
| 840 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 841 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 842 | } |
| 843 | catch (std::exception& e) |
| 844 | { |
| 845 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
| 846 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 847 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 848 | } |
| 849 | |
| 850 | CommitPools(*pMemPools); |
| 851 | |
| 852 | DumpTensorsIfRequired("Output", outputTensors); |
| 853 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 854 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 855 | { |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 856 | cb.ctx.driverEnd = Now(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 857 | V1_2::Timing timing; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 858 | timing.timeOnDevice = MicrosecondsDuration(cb.ctx.deviceEnd, cb.ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 859 | timing.timeInDriver = MicrosecondsDuration(cb.ctx.driverEnd, cb.ctx.driverStart); |
| 860 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", timing.timeOnDevice, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 861 | timing.timeInDriver); |
| 862 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 863 | } else |
| 864 | { |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 865 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 866 | } |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 867 | return V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 868 | } |
| 869 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 870 | /// Schedule the graph prepared from the request for execution |
| 871 | template<typename HalVersion> |
| 872 | template<typename CallbackContext> |
| 873 | void ArmnnPreparedModel_1_3<HalVersion>::ScheduleGraphForExecution( |
| 874 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 875 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 876 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 877 | CallbackContext callbackContext, |
| 878 | armnn::QosExecPriority priority) |
| 879 | { |
| 880 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution(...)"); |
| 881 | |
| 882 | DumpTensorsIfRequired("Input", *inputTensors); |
| 883 | |
| 884 | unsigned int outputTensorSize = outputTensors.get()->size(); |
| 885 | std::vector<V1_2::OutputShape> outputShapes(outputTensorSize); |
| 886 | for (unsigned int i = 0; i < outputTensorSize; i++) |
| 887 | { |
| 888 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors.get()->at(i); |
| 889 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 890 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 891 | |
| 892 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 893 | } |
| 894 | |
| 895 | auto tpCb = std::make_shared< |
| 896 | ArmnnThreadPoolCallback_1_3<CallbackContext_1_3>>(this, |
| 897 | pMemPools, |
| 898 | outputShapes, |
| 899 | inputTensors, |
| 900 | outputTensors, |
| 901 | callbackContext); |
| 902 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 903 | m_Threadpool->Schedule(m_NetworkId, |
| 904 | *tpCb->m_InputTensors, |
| 905 | *tpCb->m_OutputTensors, |
| 906 | priority, |
| 907 | tpCb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 908 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution end"); |
| 909 | } |
| 910 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 911 | template<typename HalVersion> |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 912 | bool ArmnnPreparedModel_1_3<HalVersion>::ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 913 | { |
| 914 | std::vector<std::vector<char>> storage; |
| 915 | armnn::InputTensors inputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 916 | for (unsigned int i = 0; i < numInputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 917 | { |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 918 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 919 | // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors. |
| 920 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 921 | inputTensorInfo.SetConstant(); |
| 922 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 923 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 924 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 925 | |
| 926 | inputTensors.emplace_back(i, inputTensor); |
| 927 | } |
| 928 | |
| 929 | armnn::OutputTensors outputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 930 | for (unsigned int i = 0; i < numOutputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 931 | { |
| 932 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 933 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 934 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 935 | |
| 936 | outputTensors.emplace_back(i, outputTensor); |
| 937 | } |
| 938 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 939 | auto nullCallback = [](V1_3::ErrorStatus, std::vector<V1_2::OutputShape>, const V1_2::Timing&, std::string) {}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 940 | CallbackContext_1_3 callbackContext; |
| 941 | callbackContext.callback = nullCallback; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 942 | callbackContext.ctx.measureTimings = V1_2::MeasureTiming::NO; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 943 | auto memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>(); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 944 | |
| 945 | auto errorStatus = ExecuteGraph(memPools, |
| 946 | inputTensors, |
| 947 | outputTensors, |
| 948 | callbackContext); |
| 949 | return errorStatus == V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 950 | } |
| 951 | |
| 952 | template<typename HalVersion> |
| 953 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::Execute(const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 954 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 955 | CallbackAsync_1_3 callback) |
| 956 | { |
| 957 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 958 | if (measureTiming == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 959 | { |
| 960 | ctx.measureTimings = measureTiming; |
| 961 | ctx.driverStart = Now(); |
| 962 | } |
| 963 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 964 | if (!m_PreparedFromCache) |
| 965 | { |
| 966 | ALOGV("ArmnnPreparedModel_1_3::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 967 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 968 | m_RequestCount++; |
| 969 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 970 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 971 | { |
| 972 | callback(V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"); |
| 973 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 974 | } |
| 975 | |
| 976 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 977 | { |
| 978 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&callback)); |
| 979 | } |
| 980 | |
| 981 | // map the memory pool into shared pointers |
| 982 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 983 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 984 | |
| 985 | // allocate the tensors on the heap, as they are passed to the request thread |
| 986 | auto inputTensors = std::make_shared<armnn::InputTensors>(); |
| 987 | auto outputTensors = std::make_shared<armnn::OutputTensors>(); |
| 988 | |
| 989 | auto [status, outShapes, timing, message] = PrepareMemoryForIO(*inputTensors, *outputTensors, |
| 990 | *memPools, request); |
| 991 | if (status != V1_3::ErrorStatus::NONE) |
| 992 | { |
| 993 | callback(status, outShapes, timing, message); |
| 994 | } |
| 995 | |
| 996 | switch(status) |
| 997 | { |
| 998 | case V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE: |
| 999 | return V1_3::ErrorStatus::NONE; |
| 1000 | case V1_3::ErrorStatus::GENERAL_FAILURE: |
| 1001 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Sadik Armagan | a07d275 | 2021-05-12 20:33:58 +0100 | [diff] [blame] | 1002 | case V1_3::ErrorStatus::INVALID_ARGUMENT: |
| 1003 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1004 | default: |
| 1005 | {} |
| 1006 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1007 | CallbackContext_1_3 cb; |
| 1008 | cb.callback = callback; |
| 1009 | cb.ctx = ctx; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1010 | |
| 1011 | |
| 1012 | enum class QosExecPriority |
| 1013 | { |
| 1014 | Low = 0, |
| 1015 | Medium = 1, |
| 1016 | High = 2 |
| 1017 | }; |
| 1018 | |
| 1019 | |
| 1020 | if (m_AsyncModelExecutionEnabled) |
| 1021 | { |
| 1022 | armnn::QosExecPriority priority; |
| 1023 | |
| 1024 | switch (GetModelPriority()) { |
| 1025 | case V1_3::Priority::LOW: |
| 1026 | priority = armnn::QosExecPriority::Low; |
| 1027 | break; |
| 1028 | case V1_3::Priority::MEDIUM: |
| 1029 | priority = armnn::QosExecPriority::Medium; |
| 1030 | break; |
| 1031 | case V1_3::Priority::HIGH: |
| 1032 | priority = armnn::QosExecPriority::High; |
| 1033 | break; |
| 1034 | default: |
| 1035 | priority = armnn::QosExecPriority::Medium; |
| 1036 | |
| 1037 | } |
| 1038 | |
| 1039 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before ScheduleGraphForExecution"); |
| 1040 | ScheduleGraphForExecution(memPools, inputTensors, outputTensors, cb, priority); |
| 1041 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after ScheduleGraphForExecution"); |
| 1042 | return V1_3::ErrorStatus::NONE; |
| 1043 | } |
| 1044 | |
| 1045 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before PostMsg"); |
| 1046 | // post the request for asynchronous execution |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1047 | m_RequestThread.PostMsg(this, memPools, inputTensors, outputTensors, cb); |
| 1048 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after PostMsg"); |
| 1049 | return V1_3::ErrorStatus::NONE; |
| 1050 | } |
| 1051 | |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 1052 | template<typename HalVersion> |
| 1053 | V1_3::Priority ArmnnPreparedModel_1_3<HalVersion>::GetModelPriority() |
| 1054 | { |
| 1055 | return m_ModelPriority; |
| 1056 | } |
| 1057 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1058 | template<typename HalVersion> |
| 1059 | template <typename CallbackContext> |
| 1060 | void ArmnnPreparedModel_1_3<HalVersion>::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify( |
| 1061 | armnn::Status status, armnn::InferenceTimingPair timeTaken) |
| 1062 | { |
| 1063 | ALOGV("ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify"); |
| 1064 | CommitPools(*m_MemPools); |
| 1065 | |
| 1066 | m_Model->DumpTensorsIfRequired("Output", *m_OutputTensors); |
| 1067 | |
| 1068 | if (status != armnn::Status::Success) |
| 1069 | { |
| 1070 | ALOGW("ArmnnThreadPoolCallback_1_3::Notify EnqueueWorkload failed"); |
| 1071 | m_CallbackContext.callback(V1_3::ErrorStatus::GENERAL_FAILURE, |
| 1072 | {}, |
| 1073 | g_NoTiming, |
| 1074 | "ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3"); |
| 1075 | return; |
| 1076 | } |
| 1077 | |
| 1078 | if (m_CallbackContext.ctx.measureTimings == V1_2::MeasureTiming::YES) |
| 1079 | { |
| 1080 | m_CallbackContext.ctx.deviceStart = timeTaken.first; |
| 1081 | m_CallbackContext.ctx.deviceEnd = timeTaken.second; |
| 1082 | m_CallbackContext.ctx.driverEnd = std::chrono::steady_clock::now(); |
| 1083 | V1_2::Timing timing; |
| 1084 | timing.timeOnDevice = MicrosecondsDuration(m_CallbackContext.ctx.deviceEnd, m_CallbackContext.ctx.deviceStart); |
| 1085 | timing.timeInDriver = MicrosecondsDuration(m_CallbackContext.ctx.driverEnd, m_CallbackContext.ctx.driverStart); |
| 1086 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", timing.timeOnDevice, |
| 1087 | timing.timeInDriver); |
| 1088 | m_CallbackContext.callback( |
| 1089 | V1_3::ErrorStatus::NONE, m_OutputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1090 | } else |
| 1091 | { |
| 1092 | m_CallbackContext.callback( |
| 1093 | V1_3::ErrorStatus::NONE, m_OutputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1094 | } |
| 1095 | return; |
| 1096 | } |
| 1097 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1098 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 1099 | template class ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 1100 | template Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>::ExecuteGraph<CallbackContext_1_3>( |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1101 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1102 | armnn::InputTensors& pInputTensors, |
| 1103 | armnn::OutputTensors& pOutputTensors, |
| 1104 | CallbackContext_1_3 cb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1105 | |
| 1106 | template void ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>::ScheduleGraphForExecution<CallbackContext_1_3>( |
| 1107 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1108 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 1109 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 1110 | CallbackContext_1_3 callbackContext, |
| 1111 | armnn::QosExecPriority priority); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1112 | #endif |
| 1113 | |
| 1114 | } // namespace armnn_driver |