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 | |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 15 | #include <armnn/Types.hpp> |
| 16 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 17 | #include <Utils.h> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 18 | #include <android/sync.h> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 19 | #include <log/log.h> |
| 20 | #include <OperationsUtils.h> |
| 21 | #include <ExecutionBurstServer.h> |
| 22 | #include <ValidateHal.h> |
| 23 | |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 24 | #include <chrono> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 25 | #include <cinttypes> |
| 26 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 27 | #ifdef ARMNN_ANDROID_S |
| 28 | #include <LegacyUtils.h> |
| 29 | #endif |
| 30 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 31 | using namespace android; |
| 32 | using namespace android::hardware; |
| 33 | |
| 34 | namespace { |
| 35 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 36 | 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] | 37 | using namespace armnn_driver; |
| 38 | using TimePoint = std::chrono::steady_clock::time_point; |
| 39 | |
| 40 | TimePoint Now() |
| 41 | { |
| 42 | return std::chrono::steady_clock::now(); |
| 43 | } |
| 44 | |
| 45 | unsigned long MicrosecondsDuration(TimePoint endPoint, TimePoint startPoint) |
| 46 | { |
| 47 | return static_cast<unsigned long>(std::chrono::duration_cast<std::chrono::microseconds>( |
| 48 | endPoint - startPoint).count()); |
| 49 | } |
| 50 | |
| 51 | void NotifyCallbackAndCheck(const ::android::sp<V1_0::IExecutionCallback>& callback, |
| 52 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 53 | std::vector<V1_2::OutputShape>, |
| 54 | const V1_2::Timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 55 | std::string callingFunction) |
| 56 | { |
| 57 | Return<void> returned = callback->notify(convertToV1_0(errorStatus)); |
| 58 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 59 | if (!returned.isOk()) |
| 60 | { |
| 61 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 62 | callingFunction.c_str(), returned.description().c_str()); |
| 63 | } |
| 64 | } |
| 65 | |
| 66 | void NotifyCallbackAndCheck(const ::android::sp<V1_2::IExecutionCallback>& callback, |
| 67 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 68 | std::vector<V1_2::OutputShape> outputShapes, |
| 69 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 70 | std::string callingFunction) |
| 71 | { |
| 72 | Return<void> returned = callback->notify_1_2(convertToV1_0(errorStatus), outputShapes, timing); |
| 73 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 74 | if (!returned.isOk()) |
| 75 | { |
| 76 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 77 | callingFunction.c_str(), returned.description().c_str()); |
| 78 | } |
| 79 | } |
| 80 | |
| 81 | void NotifyCallbackAndCheck(const ::android::sp<V1_3::IExecutionCallback>& callback, |
| 82 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 83 | std::vector<V1_2::OutputShape> outputShapes, |
| 84 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 85 | std::string callingFunction) |
| 86 | { |
| 87 | Return<void> returned = callback->notify_1_3(errorStatus, outputShapes, timing); |
| 88 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 89 | if (!returned.isOk()) |
| 90 | { |
| 91 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 92 | callingFunction.c_str(), returned.description().c_str()); |
| 93 | } |
| 94 | } |
| 95 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 96 | bool ValidateRequestArgument(const V1_0::RequestArgument& requestArg, const armnn::TensorInfo& tensorInfo) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 97 | { |
| 98 | if (requestArg.dimensions.size() != 0) |
| 99 | { |
| 100 | if (requestArg.dimensions.size() != tensorInfo.GetNumDimensions()) |
| 101 | { |
| 102 | ALOGE("Mismatched dimensions (request argument: %zu, expected: %u)", |
| 103 | requestArg.dimensions.size(), tensorInfo.GetNumDimensions()); |
| 104 | return false; |
| 105 | } |
| 106 | |
| 107 | for (unsigned int d = 0; d < tensorInfo.GetNumDimensions(); ++d) |
| 108 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 109 | if (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.GetShape()[d]) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 110 | { |
| 111 | ALOGE("Mismatched size for dimension %d (request argument: %u, expected %u)", |
| 112 | d, requestArg.dimensions[d], tensorInfo.GetShape()[d]); |
| 113 | return false; |
| 114 | } |
| 115 | } |
| 116 | } |
| 117 | |
| 118 | return true; |
| 119 | } |
| 120 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 121 | armnn::Tensor GetTensorForRequestArgument(const V1_0::RequestArgument& requestArg, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 122 | const armnn::TensorInfo& tensorInfo, |
| 123 | const std::vector<::android::nn::RunTimePoolInfo>& requestPools) |
| 124 | { |
| 125 | if (!ValidateRequestArgument(requestArg, tensorInfo)) |
| 126 | { |
| 127 | return armnn::Tensor(); |
| 128 | } |
| 129 | |
| 130 | return armnn::Tensor(tensorInfo, GetMemoryFromPool(requestArg.location, requestPools)); |
| 131 | } |
| 132 | |
| 133 | inline std::string BuildTensorName(const char* tensorNamePrefix, std::size_t index) |
| 134 | { |
| 135 | return tensorNamePrefix + std::to_string(index); |
| 136 | } |
| 137 | |
| 138 | } // anonymous namespace |
| 139 | |
| 140 | using namespace android::hardware; |
| 141 | |
| 142 | namespace armnn_driver |
| 143 | { |
| 144 | |
| 145 | template<typename HalVersion> |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 146 | RequestThread_1_3<ArmnnPreparedModel_1_3, HalVersion, CallbackContext_1_3> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 147 | ArmnnPreparedModel_1_3<HalVersion>::m_RequestThread; |
| 148 | |
| 149 | template<typename HalVersion> |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 150 | std::unique_ptr<armnn::Threadpool> ArmnnPreparedModel_1_3<HalVersion>::m_Threadpool(nullptr); |
| 151 | |
| 152 | template<typename HalVersion> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 153 | template<typename TensorBindingCollection> |
| 154 | void ArmnnPreparedModel_1_3<HalVersion>::DumpTensorsIfRequired(char const* tensorNamePrefix, |
| 155 | const TensorBindingCollection& tensorBindings) |
| 156 | { |
| 157 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 158 | { |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 159 | 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] | 160 | for (std::size_t i = 0u; i < tensorBindings.size(); ++i) |
| 161 | { |
| 162 | DumpTensor(m_RequestInputsAndOutputsDumpDir, |
| 163 | requestName, |
| 164 | BuildTensorName(tensorNamePrefix, i), |
| 165 | tensorBindings[i].second); |
| 166 | } |
| 167 | } |
| 168 | } |
| 169 | |
| 170 | template<typename HalVersion> |
| 171 | ArmnnPreparedModel_1_3<HalVersion>::ArmnnPreparedModel_1_3(armnn::NetworkId networkId, |
| 172 | armnn::IRuntime* runtime, |
| 173 | const V1_3::Model& model, |
| 174 | const std::string& requestInputsAndOutputsDumpDir, |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 175 | const bool gpuProfilingEnabled, |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 176 | V1_3::Priority priority, |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 177 | const bool asyncModelExecutionEnabled, |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 178 | const unsigned int numberOfThreads, |
| 179 | const bool importEnabled, |
| 180 | const bool exportEnabled) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 181 | : m_NetworkId(networkId) |
| 182 | , m_Runtime(runtime) |
| 183 | , m_Model(model) |
| 184 | , m_RequestCount(0) |
| 185 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 186 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 187 | , m_ModelPriority(priority) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 188 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 189 | , m_EnableImport(importEnabled) |
| 190 | , m_EnableExport(exportEnabled) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 191 | , m_PreparedFromCache(false) |
| 192 | { |
| 193 | // Enable profiling if required. |
| 194 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
| 195 | |
| 196 | if (m_AsyncModelExecutionEnabled) |
| 197 | { |
| 198 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
| 199 | for (unsigned int i=0; i < numberOfThreads; ++i) |
| 200 | { |
| 201 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 202 | } |
| 203 | |
| 204 | if (!m_Threadpool) |
| 205 | { |
| 206 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 207 | } |
| 208 | else |
| 209 | { |
| 210 | m_Threadpool->LoadMemHandles(memHandles); |
| 211 | } |
| 212 | |
| 213 | m_WorkingMemHandle = memHandles.back(); |
| 214 | } |
| 215 | } |
| 216 | |
| 217 | template<typename HalVersion> |
| 218 | ArmnnPreparedModel_1_3<HalVersion>::ArmnnPreparedModel_1_3(armnn::NetworkId networkId, |
| 219 | armnn::IRuntime* runtime, |
| 220 | const std::string& requestInputsAndOutputsDumpDir, |
| 221 | const bool gpuProfilingEnabled, |
| 222 | V1_3::Priority priority, |
| 223 | const bool asyncModelExecutionEnabled, |
| 224 | const unsigned int numberOfThreads, |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 225 | const bool importEnabled, |
| 226 | const bool exportEnabled, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 227 | const bool preparedFromCache) |
| 228 | : m_NetworkId(networkId) |
| 229 | , m_Runtime(runtime) |
| 230 | , m_RequestCount(0) |
| 231 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 232 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
| 233 | , m_ModelPriority(priority) |
| 234 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 235 | , m_EnableImport(importEnabled) |
| 236 | , m_EnableExport(exportEnabled) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 237 | , m_PreparedFromCache(preparedFromCache) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 238 | { |
| 239 | // Enable profiling if required. |
| 240 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 241 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 242 | if (m_AsyncModelExecutionEnabled) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 243 | { |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 244 | std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles; |
Finn Williams | d27c13b | 2021-06-25 10:06:09 +0100 | [diff] [blame] | 245 | for (unsigned int i=0; i < numberOfThreads; ++i) |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 246 | { |
| 247 | memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId)); |
| 248 | } |
| 249 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 250 | if (!m_Threadpool) |
| 251 | { |
| 252 | m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles); |
| 253 | } |
| 254 | else |
| 255 | { |
| 256 | m_Threadpool->LoadMemHandles(memHandles); |
| 257 | } |
| 258 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 259 | m_WorkingMemHandle = memHandles.back(); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 260 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 261 | } |
| 262 | |
| 263 | template<typename HalVersion> |
| 264 | ArmnnPreparedModel_1_3<HalVersion>::~ArmnnPreparedModel_1_3() |
| 265 | { |
| 266 | // Get a hold of the profiler used by this model. |
| 267 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
Colm Donelan | 2048b68 | 2022-02-15 14:59:08 +0000 | [diff] [blame] | 268 | if (profiler && m_GpuProfilingEnabled) |
| 269 | { |
| 270 | // Dump the profiling info to a file if required. |
| 271 | DumpJsonProfilingIfRequired(m_GpuProfilingEnabled, m_RequestInputsAndOutputsDumpDir, m_NetworkId, |
| 272 | profiler.get()); |
| 273 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 274 | |
| 275 | // Unload the network associated with this model. |
| 276 | m_Runtime->UnloadNetwork(m_NetworkId); |
| 277 | |
Finn Williams | fdf2eae | 2021-07-08 13:07:19 +0100 | [diff] [blame] | 278 | // Unload the network memhandles from the threadpool |
| 279 | if (m_AsyncModelExecutionEnabled) |
| 280 | { |
| 281 | m_Threadpool->UnloadMemHandles(m_NetworkId); |
| 282 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 283 | } |
| 284 | |
| 285 | template<typename HalVersion> |
| 286 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute(const V1_0::Request& request, |
| 287 | const ::android::sp<V1_0::IExecutionCallback>& callback) |
| 288 | { |
| 289 | if (callback.get() == nullptr) |
| 290 | { |
| 291 | ALOGE("ArmnnPreparedModel_1_3::execute invalid callback passed"); |
| 292 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 293 | } |
| 294 | |
| 295 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 296 | std::vector<V1_2::OutputShape> outputShapes, |
| 297 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 298 | std::string callingFunction) |
| 299 | { |
| 300 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 301 | }; |
| 302 | |
| 303 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 304 | return convertToV1_0(Execute(convertToV1_3(request), V1_2::MeasureTiming::NO, cb)); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 305 | } |
| 306 | |
| 307 | template<typename HalVersion> |
| 308 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_2( |
| 309 | const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 310 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 311 | const sp<V1_2::IExecutionCallback>& callback) |
| 312 | { |
| 313 | if (callback.get() == nullptr) |
| 314 | { |
| 315 | ALOGE("ArmnnPreparedModel_1_3::execute_1_2 invalid callback passed"); |
| 316 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 317 | } |
| 318 | |
| 319 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 320 | std::vector<V1_2::OutputShape> outputShapes, |
| 321 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 322 | std::string callingFunction) |
| 323 | { |
| 324 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 325 | }; |
| 326 | |
| 327 | return convertToV1_0(Execute(convertToV1_3(request), measureTiming, cb)); |
| 328 | } |
| 329 | |
| 330 | template<typename HalVersion> |
| 331 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_3( |
| 332 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 333 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 334 | const V1_3::OptionalTimePoint&, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 335 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 336 | const sp<V1_3::IExecutionCallback>& callback) |
| 337 | { |
| 338 | if (callback.get() == nullptr) |
| 339 | { |
| 340 | ALOGE("ArmnnPreparedModel_1_3::execute_1_3 invalid callback passed"); |
| 341 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 342 | } |
| 343 | |
| 344 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 345 | std::vector<V1_2::OutputShape> outputShapes, |
| 346 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 347 | std::string callingFunction) |
| 348 | { |
| 349 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 350 | }; |
| 351 | |
| 352 | return Execute(request, measureTiming, cb); |
| 353 | } |
| 354 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 355 | /// This class is inspired by the sample implementation in Android named SampleFencedExecutionCallback. |
| 356 | /// The original code is licensed under Apache-2.0 and can be found at the following link: |
| 357 | /// https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.h |
| 358 | class ArmnnFencedExecutionCallback : public V1_3::IFencedExecutionCallback |
| 359 | { |
| 360 | public: |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 361 | 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] | 362 | : m_ErrorStatus(errorStatus), m_Timing(timing), m_FenceTiming(fenceTiming) {} |
| 363 | ~ArmnnFencedExecutionCallback() {} |
| 364 | |
| 365 | Return<void> getExecutionInfo(getExecutionInfo_cb callback) override |
| 366 | { |
| 367 | callback(m_ErrorStatus, m_Timing, m_FenceTiming); |
| 368 | return Void(); |
| 369 | } |
| 370 | private: |
| 371 | V1_3::ErrorStatus m_ErrorStatus; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 372 | V1_2::Timing m_Timing; |
| 373 | V1_2::Timing m_FenceTiming; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 374 | }; |
| 375 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 376 | template<typename HalVersion> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 377 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeFenced(const V1_3::Request& request, |
| 378 | const hidl_vec<hidl_handle>& fenceWaitFor, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 379 | V1_2::MeasureTiming measureTiming, |
| 380 | const V1_3::OptionalTimePoint& deadline, |
| 381 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 382 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 383 | executeFenced_cb cb) |
| 384 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 385 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...)"); |
| 386 | if (cb == nullptr) |
| 387 | { |
| 388 | ALOGE("ArmnnPreparedModel_1_3::executeFenced invalid callback passed"); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 389 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 390 | return Void(); |
| 391 | } |
| 392 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 393 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 394 | { |
| 395 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter deadline is set but not supported."); |
| 396 | } |
| 397 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 398 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 399 | { |
| 400 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter loopTimeoutDuration is set but not supported."); |
| 401 | } |
| 402 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 403 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model, /*allowUnspecifiedOutput=*/false)) |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 404 | { |
| 405 | ALOGV("ArmnnPreparedModel_1_3::executeFenced outputs must be specified for fenced execution "); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 406 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 407 | return Void(); |
| 408 | } |
| 409 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 410 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 411 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 412 | { |
| 413 | ctx.measureTimings = measureTiming; |
| 414 | ctx.driverStart = Now(); |
| 415 | } |
| 416 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 417 | if (!m_PreparedFromCache) |
| 418 | { |
| 419 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(): %s", GetModelSummary(m_Model).c_str()); |
| 420 | } |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 421 | m_RequestCount++; |
| 422 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 423 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 424 | { |
| 425 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&cb)); |
| 426 | } |
| 427 | |
| 428 | // This code snippet is inspired by the sample implementation in Android named SampleDriver::executeFenced() |
| 429 | // function. The original code is licensed under Apache-2.0 and can be found at the following link: |
| 430 | // https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.cpp |
| 431 | const auto fenceSize = fenceWaitFor.size(); |
| 432 | for (unsigned int index = 0; index < fenceSize; ++index) |
| 433 | { |
| 434 | auto fenceNativeHandle = fenceWaitFor[index].getNativeHandle(); |
| 435 | if (!fenceNativeHandle) |
| 436 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 437 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 438 | return Void(); |
| 439 | } |
| 440 | |
| 441 | if (sync_wait(fenceNativeHandle->data[0], -1) < 0) |
| 442 | { |
| 443 | ALOGE("ArmnnPreparedModel_1_3::executeFenced sync fence failed."); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 444 | cb(V1_3::ErrorStatus::GENERAL_FAILURE, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 445 | return Void(); |
| 446 | } |
| 447 | } |
| 448 | |
| 449 | TimePoint fenceExecutionStart; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 450 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 451 | { |
| 452 | fenceExecutionStart = Now(); |
| 453 | } |
| 454 | |
| 455 | // map the memory pool into shared pointers |
| 456 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 457 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 458 | |
| 459 | // allocate the tensors on the heap, as they are passed to the request thread |
| 460 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 461 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 462 | |
| 463 | auto [status, outShapes, timings, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 464 | if (status != V1_3::ErrorStatus::NONE) |
| 465 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 466 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 467 | return Void(); |
| 468 | } |
| 469 | |
| 470 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) before ExecuteGraph"); |
| 471 | |
| 472 | // 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] | 473 | 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] | 474 | CallbackContext_1_3 cbCtx; |
| 475 | cbCtx.callback = nullCallback; |
| 476 | cbCtx.ctx = ctx; |
| 477 | |
| 478 | auto errorStatus = ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 479 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 480 | { |
| 481 | cb(errorStatus, hidl_handle(nullptr), nullptr); |
| 482 | return Void(); |
| 483 | } |
| 484 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) after ExecuteGraph"); |
| 485 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 486 | V1_2::Timing timing = g_NoTiming; |
| 487 | V1_2::Timing fenceTiming = g_NoTiming; |
| 488 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 489 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 490 | fenceTiming.timeOnDevice = MicrosecondsDuration(ctx.deviceEnd, ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 491 | fenceTiming.timeInDriver = MicrosecondsDuration(ctx.driverEnd, fenceExecutionStart); |
| 492 | ALOGV("ArmnnPreparedModel_1_3::fenceFinishExecutionTiming - Device = %lu Driver = %lu", |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 493 | static_cast<unsigned long>(fenceTiming.timeOnDevice), |
| 494 | static_cast<unsigned long>(fenceTiming.timeInDriver)); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 495 | } |
| 496 | |
| 497 | sp<ArmnnFencedExecutionCallback> armnnFencedExecutionCallback = |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 498 | new ArmnnFencedExecutionCallback(V1_3::ErrorStatus::NONE, timing, fenceTiming); |
| 499 | cb(V1_3::ErrorStatus::NONE, hidl_handle(nullptr), armnnFencedExecutionCallback); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 500 | return Void(); |
| 501 | } |
| 502 | |
| 503 | template<typename HalVersion> |
| 504 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForInputs( |
| 505 | armnn::InputTensors& inputs, |
| 506 | const V1_3::Request& request, |
| 507 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 508 | { |
| 509 | inputs.reserve(request.inputs.size()); |
| 510 | for (unsigned int i = 0; i < request.inputs.size(); i++) |
| 511 | { |
| 512 | const auto& inputArg = request.inputs[i]; |
| 513 | |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 514 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 515 | // inputs (of type InputTensors) is composed of a vector of ConstTensors. |
| 516 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 517 | inputTensorInfo.SetConstant(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 518 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools); |
| 519 | |
| 520 | if (inputTensor.GetMemoryArea() == nullptr) |
| 521 | { |
| 522 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
| 523 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 524 | } |
| 525 | |
| 526 | inputs.emplace_back(i, inputTensor); |
| 527 | } |
| 528 | |
| 529 | return V1_3::ErrorStatus::NONE; |
| 530 | } |
| 531 | |
| 532 | template<typename HalVersion> |
| 533 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForOutputs( |
| 534 | armnn::OutputTensors& outputs, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 535 | std::vector<V1_2::OutputShape> &outputShapes, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 536 | const V1_3::Request& request, |
| 537 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 538 | { |
| 539 | outputs.reserve(request.outputs.size()); |
| 540 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 541 | { |
| 542 | const auto& outputArg = request.outputs[i]; |
| 543 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 544 | armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 545 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools); |
| 546 | if (outputTensor.GetMemoryArea() == nullptr) |
| 547 | { |
| 548 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
| 549 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 550 | } |
| 551 | |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 552 | const size_t outputSize = outputTensorInfo.GetNumBytes(); |
| 553 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 554 | unsigned int count = 0; |
| 555 | std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](auto dim) |
| 556 | { |
| 557 | if (dim != 0) |
| 558 | { |
| 559 | outputTensorInfo.GetShape()[count] = dim; |
| 560 | } |
| 561 | else |
| 562 | { |
| 563 | outputTensorInfo.GetShape()[count] = outputArg.dimensions.size(); |
| 564 | } |
| 565 | |
| 566 | count++; |
| 567 | }); |
| 568 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 569 | outputs.emplace_back(i, outputTensor); |
| 570 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 571 | |
| 572 | if (outputArg.location.length < outputSize) |
| 573 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 574 | ALOGW("ArmnnPreparedModel_1_3::Execute failed outputArg.location.length (%s) < outputSize (%s)", |
| 575 | 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] | 576 | outputShapes[i].isSufficient = false; |
| 577 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 578 | } |
| 579 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 580 | size_t bufferSize = 0; |
| 581 | #if !defined(ARMNN_ANDROID_S) |
| 582 | bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 583 | #else |
Kevin May | dc873f6 | 2021-06-14 11:21:11 +0100 | [diff] [blame] | 584 | bufferSize = memPools.at(outputArg.location.poolIndex).getSize(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 585 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 586 | if (bufferSize < outputSize) |
| 587 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 588 | ALOGW("ArmnnPreparedModel_1_3::Execute failed bufferSize (%s) < outputSize (%s)", |
| 589 | std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str()); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 590 | outputShapes[i].isSufficient = false; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 591 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 592 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 593 | } |
| 594 | |
| 595 | return V1_3::ErrorStatus::NONE; |
| 596 | } |
| 597 | |
| 598 | template<typename HalVersion> |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 599 | 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] | 600 | ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForIO(armnn::InputTensors& inputs, |
| 601 | armnn::OutputTensors& outputs, |
| 602 | std::vector<android::nn::RunTimePoolInfo>& memPools, |
| 603 | const V1_3::Request& request) |
| 604 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 605 | #if !defined(ARMNN_ANDROID_S) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 606 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 607 | #else |
| 608 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, uncheckedConvert(request.pools))) |
| 609 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 610 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 611 | return {V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 612 | } |
| 613 | |
| 614 | // add the inputs and outputs with their data |
| 615 | try |
| 616 | { |
| 617 | if (PrepareMemoryForInputs(inputs, request, memPools) != V1_3::ErrorStatus::NONE) |
| 618 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 619 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 620 | } |
| 621 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 622 | std::vector<V1_2::OutputShape> outputShapes(request.outputs.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 623 | |
| 624 | auto errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools); |
| 625 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 626 | { |
| 627 | return {errorStatus, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 628 | } |
| 629 | } |
| 630 | catch (armnn::Exception& e) |
| 631 | { |
| 632 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 633 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 634 | } |
| 635 | catch (std::exception& e) |
| 636 | { |
| 637 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 638 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 639 | } |
| 640 | |
| 641 | return {V1_3::ErrorStatus::NONE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 642 | } |
| 643 | |
| 644 | template<typename HalVersion> |
| 645 | template<typename CallbackContext> |
| 646 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::ExecuteSynchronously(const V1_3::Request& request, |
| 647 | CallbackContext cbCtx) |
| 648 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 649 | if (cbCtx.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 650 | { |
| 651 | cbCtx.ctx.driverStart = Now(); |
| 652 | } |
| 653 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 654 | if (!m_PreparedFromCache && !android::nn::validateRequest(convertToV1_3(request), m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 655 | { |
| 656 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 657 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 658 | {}, |
| 659 | g_NoTiming, |
| 660 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 661 | return Void(); |
| 662 | } |
| 663 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 664 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 665 | { |
| 666 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 667 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 668 | {}, |
| 669 | g_NoTiming, |
| 670 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 671 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 672 | } |
| 673 | |
| 674 | |
| 675 | // map the memory pool into shared pointers |
| 676 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 677 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 678 | |
| 679 | // allocate the tensors on the heap, as they are passed to the request thread |
| 680 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 681 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 682 | |
| 683 | auto [status, outputShapes, timing, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 684 | if (status != V1_3::ErrorStatus::NONE) |
| 685 | { |
| 686 | cbCtx.callback(status, outputShapes, timing, message); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 687 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 688 | } |
| 689 | |
| 690 | ALOGV("ArmnnPreparedModel_1_3::ExecuteSynchronously() before Execution"); |
| 691 | |
| 692 | ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 693 | return Void(); |
| 694 | } |
| 695 | |
| 696 | template<typename HalVersion> |
| 697 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 698 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 699 | executeSynchronously_cb cb) |
| 700 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 701 | if (!m_PreparedFromCache) |
| 702 | { |
| 703 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously(): %s", GetModelSummary(m_Model).c_str()); |
| 704 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 705 | m_RequestCount++; |
| 706 | |
| 707 | if (cb == nullptr) |
| 708 | { |
| 709 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously invalid callback passed"); |
| 710 | return Void(); |
| 711 | } |
| 712 | |
| 713 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 714 | std::vector<V1_2::OutputShape> outputShapes, |
| 715 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 716 | std::string) |
| 717 | { |
| 718 | cb(convertToV1_0(errorStatus), outputShapes, timing); |
| 719 | }; |
| 720 | |
| 721 | CallbackContext_1_3 cbCtx; |
| 722 | cbCtx.callback = cbWrapper; |
| 723 | cbCtx.ctx.measureTimings = measureTiming; |
| 724 | |
| 725 | ExecuteSynchronously(convertToV1_3(request), cbCtx); |
| 726 | return Void(); |
| 727 | } |
| 728 | |
| 729 | template<typename HalVersion> |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 730 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously_1_3( |
| 731 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 732 | V1_2::MeasureTiming measureTiming, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 733 | const V1_3::OptionalTimePoint& deadline, |
| 734 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 735 | executeSynchronously_1_3_cb cb) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 736 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 737 | if (!m_PreparedFromCache) |
| 738 | { |
| 739 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously_1_3(): %s", GetModelSummary(m_Model).c_str()); |
| 740 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 741 | m_RequestCount++; |
| 742 | |
| 743 | if (cb == nullptr) |
| 744 | { |
| 745 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously_1_3 invalid callback passed"); |
| 746 | return Void(); |
| 747 | } |
| 748 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 749 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 750 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 751 | 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] | 752 | } |
| 753 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 754 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 755 | { |
| 756 | ALOGW( |
| 757 | "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] | 758 | } |
| 759 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 760 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 761 | std::vector<V1_2::OutputShape> outputShapes, |
| 762 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 763 | std::string) |
| 764 | { |
| 765 | cb(errorStatus, outputShapes, timing); |
| 766 | }; |
| 767 | |
| 768 | CallbackContext_1_3 cbCtx; |
| 769 | cbCtx.callback = cbWrapper; |
| 770 | cbCtx.ctx.measureTimings = measureTiming; |
| 771 | |
| 772 | ExecuteSynchronously(request, cbCtx); |
| 773 | return Void(); |
| 774 | } |
| 775 | |
| 776 | template<typename HalVersion> |
| 777 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::configureExecutionBurst( |
| 778 | const sp<V1_2::IBurstCallback>& callback, |
| 779 | const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, |
| 780 | const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, |
| 781 | V1_3::IPreparedModel::configureExecutionBurst_cb cb) |
| 782 | { |
| 783 | ALOGV("ArmnnPreparedModel_1_3::configureExecutionBurst"); |
| 784 | const sp<V1_2::IBurstContext> burst = ExecutionBurstServer::create(callback, |
| 785 | requestChannel, |
| 786 | resultChannel, |
| 787 | this); |
| 788 | |
| 789 | if (burst == nullptr) |
| 790 | { |
| 791 | cb(V1_0::ErrorStatus::GENERAL_FAILURE, {}); |
| 792 | } |
| 793 | else |
| 794 | { |
| 795 | cb(V1_0::ErrorStatus::NONE, burst); |
| 796 | } |
| 797 | return Void(); |
| 798 | } |
| 799 | |
| 800 | template<typename HalVersion> |
| 801 | template<typename CallbackContext> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 802 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::ExecuteGraph( |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 803 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 804 | armnn::InputTensors& inputTensors, |
| 805 | armnn::OutputTensors& outputTensors, |
| 806 | CallbackContext cb) |
| 807 | { |
| 808 | ALOGV("ArmnnPreparedModel_1_3::ExecuteGraph(...)"); |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 809 | // Capture the graph execution start time. |
| 810 | std::chrono::time_point<std::chrono::system_clock> graphExecutionStart = std::chrono::system_clock::now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 811 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 812 | DumpTensorsIfRequired("Input", inputTensors); |
| 813 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 814 | std::vector<V1_2::OutputShape> outputShapes(outputTensors.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 815 | for (unsigned int i = 0; i < outputTensors.size(); i++) |
| 816 | { |
| 817 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors[i]; |
| 818 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 819 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 820 | |
| 821 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 822 | } |
| 823 | |
| 824 | // run it |
| 825 | try |
| 826 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 827 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 828 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 829 | cb.ctx.deviceStart = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 830 | } |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 831 | armnn::Status status; |
| 832 | if (m_AsyncModelExecutionEnabled) |
| 833 | { |
| 834 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 835 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 836 | } |
| 837 | else |
| 838 | { |
| 839 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 840 | // Create a vector of Input and Output Ids which can be imported. An empty vector means all will be copied. |
| 841 | std::vector<armnn::ImportedInputId> importedInputIds; |
| 842 | if (m_EnableImport) |
| 843 | { |
| 844 | importedInputIds = m_Runtime->ImportInputs(m_NetworkId, inputTensors, armnn::MemorySource::Malloc); |
| 845 | } |
| 846 | std::vector<armnn::ImportedOutputId> importedOutputIds; |
| 847 | if (m_EnableExport) |
| 848 | { |
| 849 | importedOutputIds = m_Runtime->ImportOutputs(m_NetworkId, outputTensors, armnn::MemorySource::Malloc); |
| 850 | } |
| 851 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors, |
| 852 | importedInputIds, importedOutputIds); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 853 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 854 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 855 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 856 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 857 | cb.ctx.deviceEnd = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 858 | } |
| 859 | if (status != armnn::Status::Success) |
| 860 | { |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 861 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph EnqueueWorkload failed"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 862 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 863 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 864 | } |
| 865 | } |
| 866 | catch (armnn::Exception& e) |
| 867 | { |
| 868 | ALOGW("armnn:Exception caught from EnqueueWorkload: %s", e.what()); |
| 869 | 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] | 870 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 871 | } |
| 872 | catch (std::exception& e) |
| 873 | { |
| 874 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
| 875 | 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] | 876 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 877 | } |
| 878 | |
| 879 | CommitPools(*pMemPools); |
| 880 | |
| 881 | DumpTensorsIfRequired("Output", outputTensors); |
| 882 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 883 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 884 | { |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 885 | cb.ctx.driverEnd = Now(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 886 | V1_2::Timing timing; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 887 | timing.timeOnDevice = MicrosecondsDuration(cb.ctx.deviceEnd, cb.ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 888 | timing.timeInDriver = MicrosecondsDuration(cb.ctx.driverEnd, cb.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 889 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", |
| 890 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 891 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 892 | } else |
| 893 | { |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 894 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 895 | } |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 896 | // Log the total time in this call. This is a good number to compare to that printed out by |
| 897 | // RuntimeImpl::EnqueueWorkload. The difference should be the execution overhead of the driver. |
| 898 | ALOGI("ArmnnPreparedModel_1_3::ExecuteGraph Execution time = %lld µs", |
| 899 | std::chrono::duration_cast<std::chrono::microseconds> |
| 900 | (std::chrono::system_clock::now() - graphExecutionStart).count()); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 901 | return V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 902 | } |
| 903 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 904 | /// Schedule the graph prepared from the request for execution |
| 905 | template<typename HalVersion> |
| 906 | template<typename CallbackContext> |
| 907 | void ArmnnPreparedModel_1_3<HalVersion>::ScheduleGraphForExecution( |
| 908 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 909 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 910 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 911 | CallbackContext callbackContext, |
| 912 | armnn::QosExecPriority priority) |
| 913 | { |
| 914 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution(...)"); |
| 915 | |
| 916 | DumpTensorsIfRequired("Input", *inputTensors); |
| 917 | |
| 918 | unsigned int outputTensorSize = outputTensors.get()->size(); |
| 919 | std::vector<V1_2::OutputShape> outputShapes(outputTensorSize); |
| 920 | for (unsigned int i = 0; i < outputTensorSize; i++) |
| 921 | { |
| 922 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors.get()->at(i); |
| 923 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 924 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 925 | |
| 926 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 927 | } |
| 928 | |
| 929 | auto tpCb = std::make_shared< |
| 930 | ArmnnThreadPoolCallback_1_3<CallbackContext_1_3>>(this, |
| 931 | pMemPools, |
| 932 | outputShapes, |
| 933 | inputTensors, |
| 934 | outputTensors, |
| 935 | callbackContext); |
| 936 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 937 | m_Threadpool->Schedule(m_NetworkId, |
| 938 | *tpCb->m_InputTensors, |
| 939 | *tpCb->m_OutputTensors, |
| 940 | priority, |
| 941 | tpCb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 942 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution end"); |
| 943 | } |
| 944 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 945 | template<typename HalVersion> |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 946 | bool ArmnnPreparedModel_1_3<HalVersion>::ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 947 | { |
| 948 | std::vector<std::vector<char>> storage; |
| 949 | armnn::InputTensors inputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 950 | for (unsigned int i = 0; i < numInputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 951 | { |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 952 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 953 | // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors. |
| 954 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 955 | inputTensorInfo.SetConstant(); |
| 956 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 957 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 958 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 959 | |
| 960 | inputTensors.emplace_back(i, inputTensor); |
| 961 | } |
| 962 | |
| 963 | armnn::OutputTensors outputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 964 | for (unsigned int i = 0; i < numOutputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 965 | { |
| 966 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 967 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 968 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 969 | |
| 970 | outputTensors.emplace_back(i, outputTensor); |
| 971 | } |
| 972 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 973 | 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] | 974 | CallbackContext_1_3 callbackContext; |
| 975 | callbackContext.callback = nullCallback; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 976 | callbackContext.ctx.measureTimings = V1_2::MeasureTiming::NO; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 977 | auto memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>(); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 978 | |
| 979 | auto errorStatus = ExecuteGraph(memPools, |
| 980 | inputTensors, |
| 981 | outputTensors, |
| 982 | callbackContext); |
| 983 | return errorStatus == V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 984 | } |
| 985 | |
| 986 | template<typename HalVersion> |
| 987 | 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] | 988 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 989 | CallbackAsync_1_3 callback) |
| 990 | { |
| 991 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 992 | if (measureTiming == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 993 | { |
| 994 | ctx.measureTimings = measureTiming; |
| 995 | ctx.driverStart = Now(); |
| 996 | } |
| 997 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 998 | if (!m_PreparedFromCache) |
| 999 | { |
| 1000 | ALOGV("ArmnnPreparedModel_1_3::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 1001 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1002 | m_RequestCount++; |
| 1003 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 1004 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1005 | { |
| 1006 | callback(V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"); |
| 1007 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 1008 | } |
| 1009 | |
| 1010 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 1011 | { |
| 1012 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&callback)); |
| 1013 | } |
| 1014 | |
| 1015 | // map the memory pool into shared pointers |
| 1016 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 1017 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 1018 | |
| 1019 | // allocate the tensors on the heap, as they are passed to the request thread |
| 1020 | auto inputTensors = std::make_shared<armnn::InputTensors>(); |
| 1021 | auto outputTensors = std::make_shared<armnn::OutputTensors>(); |
| 1022 | |
| 1023 | auto [status, outShapes, timing, message] = PrepareMemoryForIO(*inputTensors, *outputTensors, |
| 1024 | *memPools, request); |
| 1025 | if (status != V1_3::ErrorStatus::NONE) |
| 1026 | { |
| 1027 | callback(status, outShapes, timing, message); |
| 1028 | } |
| 1029 | |
| 1030 | switch(status) |
| 1031 | { |
| 1032 | case V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE: |
| 1033 | return V1_3::ErrorStatus::NONE; |
| 1034 | case V1_3::ErrorStatus::GENERAL_FAILURE: |
| 1035 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Sadik Armagan | a07d275 | 2021-05-12 20:33:58 +0100 | [diff] [blame] | 1036 | case V1_3::ErrorStatus::INVALID_ARGUMENT: |
| 1037 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1038 | default: |
| 1039 | {} |
| 1040 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1041 | CallbackContext_1_3 cb; |
| 1042 | cb.callback = callback; |
| 1043 | cb.ctx = ctx; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1044 | |
| 1045 | |
| 1046 | enum class QosExecPriority |
| 1047 | { |
| 1048 | Low = 0, |
| 1049 | Medium = 1, |
| 1050 | High = 2 |
| 1051 | }; |
| 1052 | |
| 1053 | |
| 1054 | if (m_AsyncModelExecutionEnabled) |
| 1055 | { |
| 1056 | armnn::QosExecPriority priority; |
| 1057 | |
| 1058 | switch (GetModelPriority()) { |
| 1059 | case V1_3::Priority::LOW: |
| 1060 | priority = armnn::QosExecPriority::Low; |
| 1061 | break; |
| 1062 | case V1_3::Priority::MEDIUM: |
| 1063 | priority = armnn::QosExecPriority::Medium; |
| 1064 | break; |
| 1065 | case V1_3::Priority::HIGH: |
| 1066 | priority = armnn::QosExecPriority::High; |
| 1067 | break; |
| 1068 | default: |
| 1069 | priority = armnn::QosExecPriority::Medium; |
| 1070 | |
| 1071 | } |
| 1072 | |
| 1073 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before ScheduleGraphForExecution"); |
| 1074 | ScheduleGraphForExecution(memPools, inputTensors, outputTensors, cb, priority); |
| 1075 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after ScheduleGraphForExecution"); |
| 1076 | return V1_3::ErrorStatus::NONE; |
| 1077 | } |
| 1078 | |
| 1079 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before PostMsg"); |
| 1080 | // post the request for asynchronous execution |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1081 | m_RequestThread.PostMsg(this, memPools, inputTensors, outputTensors, cb); |
| 1082 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after PostMsg"); |
| 1083 | return V1_3::ErrorStatus::NONE; |
| 1084 | } |
| 1085 | |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 1086 | template<typename HalVersion> |
| 1087 | V1_3::Priority ArmnnPreparedModel_1_3<HalVersion>::GetModelPriority() |
| 1088 | { |
| 1089 | return m_ModelPriority; |
| 1090 | } |
| 1091 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1092 | template<typename HalVersion> |
| 1093 | template <typename CallbackContext> |
| 1094 | void ArmnnPreparedModel_1_3<HalVersion>::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify( |
| 1095 | armnn::Status status, armnn::InferenceTimingPair timeTaken) |
| 1096 | { |
| 1097 | ALOGV("ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify"); |
| 1098 | CommitPools(*m_MemPools); |
| 1099 | |
| 1100 | m_Model->DumpTensorsIfRequired("Output", *m_OutputTensors); |
| 1101 | |
| 1102 | if (status != armnn::Status::Success) |
| 1103 | { |
| 1104 | ALOGW("ArmnnThreadPoolCallback_1_3::Notify EnqueueWorkload failed"); |
| 1105 | m_CallbackContext.callback(V1_3::ErrorStatus::GENERAL_FAILURE, |
| 1106 | {}, |
| 1107 | g_NoTiming, |
| 1108 | "ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3"); |
| 1109 | return; |
| 1110 | } |
| 1111 | |
| 1112 | if (m_CallbackContext.ctx.measureTimings == V1_2::MeasureTiming::YES) |
| 1113 | { |
| 1114 | m_CallbackContext.ctx.deviceStart = timeTaken.first; |
| 1115 | m_CallbackContext.ctx.deviceEnd = timeTaken.second; |
| 1116 | m_CallbackContext.ctx.driverEnd = std::chrono::steady_clock::now(); |
| 1117 | V1_2::Timing timing; |
| 1118 | timing.timeOnDevice = MicrosecondsDuration(m_CallbackContext.ctx.deviceEnd, m_CallbackContext.ctx.deviceStart); |
| 1119 | timing.timeInDriver = MicrosecondsDuration(m_CallbackContext.ctx.driverEnd, m_CallbackContext.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 1120 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", |
| 1121 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1122 | m_CallbackContext.callback( |
| 1123 | V1_3::ErrorStatus::NONE, m_OutputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1124 | } else |
| 1125 | { |
| 1126 | m_CallbackContext.callback( |
| 1127 | V1_3::ErrorStatus::NONE, m_OutputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1128 | } |
| 1129 | return; |
| 1130 | } |
| 1131 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1132 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 1133 | template class ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 1134 | 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] | 1135 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1136 | armnn::InputTensors& pInputTensors, |
| 1137 | armnn::OutputTensors& pOutputTensors, |
| 1138 | CallbackContext_1_3 cb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1139 | |
| 1140 | template void ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>::ScheduleGraphForExecution<CallbackContext_1_3>( |
| 1141 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1142 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 1143 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 1144 | CallbackContext_1_3 callbackContext, |
| 1145 | armnn::QosExecPriority priority); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1146 | #endif |
| 1147 | |
| 1148 | } // namespace armnn_driver |