Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1 | // |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 2 | // Copyright © 2020-2023 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]; |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 513 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 514 | // inputs (of type InputTensors) is composed of a vector of ConstTensors. |
| 515 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 516 | inputTensorInfo.SetConstant(); |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 517 | auto result = ValidateRequestArgument<V1_3::ErrorStatus, V1_3::Request>(request, |
| 518 | inputTensorInfo, |
| 519 | inputArg, |
| 520 | "input"); |
| 521 | |
| 522 | if (result != V1_3::ErrorStatus::NONE) |
| 523 | { |
| 524 | return result; |
| 525 | } |
| 526 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 527 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools); |
| 528 | |
| 529 | if (inputTensor.GetMemoryArea() == nullptr) |
| 530 | { |
| 531 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
| 532 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 533 | } |
| 534 | |
| 535 | inputs.emplace_back(i, inputTensor); |
| 536 | } |
| 537 | |
| 538 | return V1_3::ErrorStatus::NONE; |
| 539 | } |
| 540 | |
| 541 | template<typename HalVersion> |
| 542 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForOutputs( |
| 543 | armnn::OutputTensors& outputs, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 544 | std::vector<V1_2::OutputShape> &outputShapes, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 545 | const V1_3::Request& request, |
| 546 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 547 | { |
| 548 | outputs.reserve(request.outputs.size()); |
| 549 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 550 | { |
| 551 | const auto& outputArg = request.outputs[i]; |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 552 | armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 553 | auto result = ValidateRequestArgument<V1_3::ErrorStatus, V1_3::Request>(request, |
| 554 | outputTensorInfo, |
| 555 | outputArg, |
| 556 | "output"); |
| 557 | |
| 558 | if (result != V1_3::ErrorStatus::NONE) |
| 559 | { |
| 560 | return result; |
| 561 | } |
| 562 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 563 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools); |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 564 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 565 | if (outputTensor.GetMemoryArea() == nullptr) |
| 566 | { |
| 567 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
| 568 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 569 | } |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 570 | const size_t outputSize = outputTensorInfo.GetNumBytes(); |
| 571 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 572 | unsigned int count = 0; |
| 573 | std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](auto dim) |
| 574 | { |
| 575 | if (dim != 0) |
| 576 | { |
| 577 | outputTensorInfo.GetShape()[count] = dim; |
| 578 | } |
| 579 | else |
| 580 | { |
| 581 | outputTensorInfo.GetShape()[count] = outputArg.dimensions.size(); |
| 582 | } |
| 583 | |
| 584 | count++; |
| 585 | }); |
| 586 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 587 | outputs.emplace_back(i, outputTensor); |
| 588 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 589 | |
| 590 | if (outputArg.location.length < outputSize) |
| 591 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 592 | ALOGW("ArmnnPreparedModel_1_3::Execute failed outputArg.location.length (%s) < outputSize (%s)", |
| 593 | 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] | 594 | outputShapes[i].isSufficient = false; |
| 595 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 596 | } |
| 597 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 598 | size_t bufferSize = 0; |
| 599 | #if !defined(ARMNN_ANDROID_S) |
| 600 | bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 601 | #else |
Kevin May | dc873f6 | 2021-06-14 11:21:11 +0100 | [diff] [blame] | 602 | bufferSize = memPools.at(outputArg.location.poolIndex).getSize(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 603 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 604 | if (bufferSize < outputSize) |
| 605 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 606 | ALOGW("ArmnnPreparedModel_1_3::Execute failed bufferSize (%s) < outputSize (%s)", |
| 607 | std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str()); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 608 | outputShapes[i].isSufficient = false; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 609 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 610 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 611 | } |
| 612 | |
| 613 | return V1_3::ErrorStatus::NONE; |
| 614 | } |
| 615 | |
| 616 | template<typename HalVersion> |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 617 | 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] | 618 | ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForIO(armnn::InputTensors& inputs, |
| 619 | armnn::OutputTensors& outputs, |
| 620 | std::vector<android::nn::RunTimePoolInfo>& memPools, |
| 621 | const V1_3::Request& request) |
| 622 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 623 | #if !defined(ARMNN_ANDROID_S) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 624 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 625 | #else |
| 626 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, uncheckedConvert(request.pools))) |
| 627 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 628 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 629 | return {V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 630 | } |
| 631 | |
| 632 | // add the inputs and outputs with their data |
| 633 | try |
| 634 | { |
| 635 | if (PrepareMemoryForInputs(inputs, request, memPools) != V1_3::ErrorStatus::NONE) |
| 636 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 637 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 638 | } |
| 639 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 640 | std::vector<V1_2::OutputShape> outputShapes(request.outputs.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 641 | |
| 642 | auto errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools); |
| 643 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 644 | { |
| 645 | return {errorStatus, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 646 | } |
| 647 | } |
| 648 | catch (armnn::Exception& e) |
| 649 | { |
| 650 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 651 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 652 | } |
| 653 | catch (std::exception& e) |
| 654 | { |
| 655 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 656 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 657 | } |
| 658 | |
| 659 | return {V1_3::ErrorStatus::NONE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 660 | } |
| 661 | |
| 662 | template<typename HalVersion> |
| 663 | template<typename CallbackContext> |
| 664 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::ExecuteSynchronously(const V1_3::Request& request, |
| 665 | CallbackContext cbCtx) |
| 666 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 667 | if (cbCtx.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 668 | { |
| 669 | cbCtx.ctx.driverStart = Now(); |
| 670 | } |
| 671 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 672 | if (!m_PreparedFromCache && !android::nn::validateRequest(convertToV1_3(request), m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 673 | { |
| 674 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 675 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 676 | {}, |
| 677 | g_NoTiming, |
| 678 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 679 | return Void(); |
| 680 | } |
| 681 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 682 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 683 | { |
| 684 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 685 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 686 | {}, |
| 687 | g_NoTiming, |
| 688 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 689 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 690 | } |
| 691 | |
| 692 | |
| 693 | // map the memory pool into shared pointers |
| 694 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 695 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 696 | |
| 697 | // allocate the tensors on the heap, as they are passed to the request thread |
| 698 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 699 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 700 | |
| 701 | auto [status, outputShapes, timing, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 702 | if (status != V1_3::ErrorStatus::NONE) |
| 703 | { |
| 704 | cbCtx.callback(status, outputShapes, timing, message); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 705 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 706 | } |
| 707 | |
| 708 | ALOGV("ArmnnPreparedModel_1_3::ExecuteSynchronously() before Execution"); |
| 709 | |
| 710 | ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 711 | return Void(); |
| 712 | } |
| 713 | |
| 714 | template<typename HalVersion> |
| 715 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 716 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 717 | executeSynchronously_cb cb) |
| 718 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 719 | if (!m_PreparedFromCache) |
| 720 | { |
| 721 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously(): %s", GetModelSummary(m_Model).c_str()); |
| 722 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 723 | m_RequestCount++; |
| 724 | |
| 725 | if (cb == nullptr) |
| 726 | { |
| 727 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously invalid callback passed"); |
| 728 | return Void(); |
| 729 | } |
| 730 | |
| 731 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 732 | std::vector<V1_2::OutputShape> outputShapes, |
| 733 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 734 | std::string) |
| 735 | { |
| 736 | cb(convertToV1_0(errorStatus), outputShapes, timing); |
| 737 | }; |
| 738 | |
| 739 | CallbackContext_1_3 cbCtx; |
| 740 | cbCtx.callback = cbWrapper; |
| 741 | cbCtx.ctx.measureTimings = measureTiming; |
| 742 | |
| 743 | ExecuteSynchronously(convertToV1_3(request), cbCtx); |
| 744 | return Void(); |
| 745 | } |
| 746 | |
| 747 | template<typename HalVersion> |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 748 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously_1_3( |
| 749 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 750 | V1_2::MeasureTiming measureTiming, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 751 | const V1_3::OptionalTimePoint& deadline, |
| 752 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 753 | executeSynchronously_1_3_cb cb) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 754 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 755 | if (!m_PreparedFromCache) |
| 756 | { |
| 757 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously_1_3(): %s", GetModelSummary(m_Model).c_str()); |
| 758 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 759 | m_RequestCount++; |
| 760 | |
| 761 | if (cb == nullptr) |
| 762 | { |
| 763 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously_1_3 invalid callback passed"); |
| 764 | return Void(); |
| 765 | } |
| 766 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 767 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 768 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 769 | 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] | 770 | } |
| 771 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 772 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 773 | { |
| 774 | ALOGW( |
| 775 | "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] | 776 | } |
| 777 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 778 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 779 | std::vector<V1_2::OutputShape> outputShapes, |
| 780 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 781 | std::string) |
| 782 | { |
| 783 | cb(errorStatus, outputShapes, timing); |
| 784 | }; |
| 785 | |
| 786 | CallbackContext_1_3 cbCtx; |
| 787 | cbCtx.callback = cbWrapper; |
| 788 | cbCtx.ctx.measureTimings = measureTiming; |
| 789 | |
| 790 | ExecuteSynchronously(request, cbCtx); |
| 791 | return Void(); |
| 792 | } |
| 793 | |
| 794 | template<typename HalVersion> |
| 795 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::configureExecutionBurst( |
| 796 | const sp<V1_2::IBurstCallback>& callback, |
| 797 | const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, |
| 798 | const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, |
| 799 | V1_3::IPreparedModel::configureExecutionBurst_cb cb) |
| 800 | { |
| 801 | ALOGV("ArmnnPreparedModel_1_3::configureExecutionBurst"); |
| 802 | const sp<V1_2::IBurstContext> burst = ExecutionBurstServer::create(callback, |
| 803 | requestChannel, |
| 804 | resultChannel, |
| 805 | this); |
| 806 | |
| 807 | if (burst == nullptr) |
| 808 | { |
| 809 | cb(V1_0::ErrorStatus::GENERAL_FAILURE, {}); |
| 810 | } |
| 811 | else |
| 812 | { |
| 813 | cb(V1_0::ErrorStatus::NONE, burst); |
| 814 | } |
| 815 | return Void(); |
| 816 | } |
| 817 | |
| 818 | template<typename HalVersion> |
| 819 | template<typename CallbackContext> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 820 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::ExecuteGraph( |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 821 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 822 | armnn::InputTensors& inputTensors, |
| 823 | armnn::OutputTensors& outputTensors, |
| 824 | CallbackContext cb) |
| 825 | { |
| 826 | ALOGV("ArmnnPreparedModel_1_3::ExecuteGraph(...)"); |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 827 | // Capture the graph execution start time. |
| 828 | 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] | 829 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 830 | DumpTensorsIfRequired("Input", inputTensors); |
| 831 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 832 | std::vector<V1_2::OutputShape> outputShapes(outputTensors.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 833 | for (unsigned int i = 0; i < outputTensors.size(); i++) |
| 834 | { |
| 835 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors[i]; |
| 836 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 837 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 838 | |
| 839 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 840 | } |
| 841 | |
| 842 | // run it |
| 843 | try |
| 844 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 845 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 846 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 847 | cb.ctx.deviceStart = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 848 | } |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 849 | armnn::Status status; |
| 850 | if (m_AsyncModelExecutionEnabled) |
| 851 | { |
| 852 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 853 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 854 | } |
| 855 | else |
| 856 | { |
| 857 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
Narumol Prangnawarat | d1a947f | 2022-02-07 13:12:24 +0000 | [diff] [blame] | 858 | // Create a vector of Input and Output Ids which can be imported. An empty vector means all will be copied. |
| 859 | std::vector<armnn::ImportedInputId> importedInputIds; |
| 860 | if (m_EnableImport) |
| 861 | { |
| 862 | importedInputIds = m_Runtime->ImportInputs(m_NetworkId, inputTensors, armnn::MemorySource::Malloc); |
| 863 | } |
| 864 | std::vector<armnn::ImportedOutputId> importedOutputIds; |
| 865 | if (m_EnableExport) |
| 866 | { |
| 867 | importedOutputIds = m_Runtime->ImportOutputs(m_NetworkId, outputTensors, armnn::MemorySource::Malloc); |
| 868 | } |
| 869 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors, |
| 870 | importedInputIds, importedOutputIds); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 871 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 872 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 873 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 874 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 875 | cb.ctx.deviceEnd = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 876 | } |
| 877 | if (status != armnn::Status::Success) |
| 878 | { |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 879 | ALOGW("ArmnnPreparedModel_1_3::ExecuteGraph EnqueueWorkload failed"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 880 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 881 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 882 | } |
| 883 | } |
| 884 | catch (armnn::Exception& e) |
| 885 | { |
| 886 | ALOGW("armnn:Exception caught from EnqueueWorkload: %s", e.what()); |
| 887 | 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] | 888 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 889 | } |
| 890 | catch (std::exception& e) |
| 891 | { |
| 892 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
| 893 | 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] | 894 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 895 | } |
| 896 | |
| 897 | CommitPools(*pMemPools); |
| 898 | |
| 899 | DumpTensorsIfRequired("Output", outputTensors); |
| 900 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 901 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 902 | { |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 903 | cb.ctx.driverEnd = Now(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 904 | V1_2::Timing timing; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 905 | timing.timeOnDevice = MicrosecondsDuration(cb.ctx.deviceEnd, cb.ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 906 | timing.timeInDriver = MicrosecondsDuration(cb.ctx.driverEnd, cb.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 907 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", |
| 908 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 909 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 910 | } else |
| 911 | { |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 912 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 913 | } |
Colm Donelan | 0fc16c6 | 2022-03-16 11:54:13 +0000 | [diff] [blame] | 914 | // Log the total time in this call. This is a good number to compare to that printed out by |
| 915 | // RuntimeImpl::EnqueueWorkload. The difference should be the execution overhead of the driver. |
| 916 | ALOGI("ArmnnPreparedModel_1_3::ExecuteGraph Execution time = %lld µs", |
| 917 | std::chrono::duration_cast<std::chrono::microseconds> |
| 918 | (std::chrono::system_clock::now() - graphExecutionStart).count()); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 919 | return V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 920 | } |
| 921 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 922 | /// Schedule the graph prepared from the request for execution |
| 923 | template<typename HalVersion> |
| 924 | template<typename CallbackContext> |
| 925 | void ArmnnPreparedModel_1_3<HalVersion>::ScheduleGraphForExecution( |
| 926 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 927 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 928 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 929 | CallbackContext callbackContext, |
| 930 | armnn::QosExecPriority priority) |
| 931 | { |
| 932 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution(...)"); |
| 933 | |
| 934 | DumpTensorsIfRequired("Input", *inputTensors); |
| 935 | |
| 936 | unsigned int outputTensorSize = outputTensors.get()->size(); |
| 937 | std::vector<V1_2::OutputShape> outputShapes(outputTensorSize); |
| 938 | for (unsigned int i = 0; i < outputTensorSize; i++) |
| 939 | { |
| 940 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors.get()->at(i); |
| 941 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 942 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 943 | |
| 944 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 945 | } |
| 946 | |
| 947 | auto tpCb = std::make_shared< |
| 948 | ArmnnThreadPoolCallback_1_3<CallbackContext_1_3>>(this, |
| 949 | pMemPools, |
| 950 | outputShapes, |
| 951 | inputTensors, |
| 952 | outputTensors, |
| 953 | callbackContext); |
| 954 | |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 955 | m_Threadpool->Schedule(m_NetworkId, |
| 956 | *tpCb->m_InputTensors, |
| 957 | *tpCb->m_OutputTensors, |
| 958 | priority, |
| 959 | tpCb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 960 | ALOGV("ArmnnPreparedModel_1_3::ScheduleGraphForExecution end"); |
| 961 | } |
| 962 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 963 | template<typename HalVersion> |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 964 | bool ArmnnPreparedModel_1_3<HalVersion>::ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 965 | { |
| 966 | std::vector<std::vector<char>> storage; |
| 967 | armnn::InputTensors inputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 968 | for (unsigned int i = 0; i < numInputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 969 | { |
Cathal Corbett | e27d4e8 | 2021-10-28 12:28:35 +0100 | [diff] [blame] | 970 | armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 971 | // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors. |
| 972 | // Therefore, set all TensorInfo isConstant parameters of input Tensors to true. |
| 973 | inputTensorInfo.SetConstant(); |
| 974 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 975 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 976 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 977 | |
| 978 | inputTensors.emplace_back(i, inputTensor); |
| 979 | } |
| 980 | |
| 981 | armnn::OutputTensors outputTensors; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 982 | for (unsigned int i = 0; i < numOutputs; i++) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 983 | { |
| 984 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 985 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 986 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 987 | |
| 988 | outputTensors.emplace_back(i, outputTensor); |
| 989 | } |
| 990 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 991 | 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] | 992 | CallbackContext_1_3 callbackContext; |
| 993 | callbackContext.callback = nullCallback; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 994 | callbackContext.ctx.measureTimings = V1_2::MeasureTiming::NO; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 995 | auto memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>(); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 996 | |
| 997 | auto errorStatus = ExecuteGraph(memPools, |
| 998 | inputTensors, |
| 999 | outputTensors, |
| 1000 | callbackContext); |
| 1001 | return errorStatus == V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1002 | } |
| 1003 | |
| 1004 | template<typename HalVersion> |
| 1005 | 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] | 1006 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1007 | CallbackAsync_1_3 callback) |
| 1008 | { |
| 1009 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 1010 | if (measureTiming == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1011 | { |
| 1012 | ctx.measureTimings = measureTiming; |
| 1013 | ctx.driverStart = Now(); |
| 1014 | } |
| 1015 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 1016 | if (!m_PreparedFromCache) |
| 1017 | { |
| 1018 | ALOGV("ArmnnPreparedModel_1_3::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 1019 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1020 | m_RequestCount++; |
| 1021 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 1022 | if (!m_PreparedFromCache && !android::nn::validateRequest(request, m_Model)) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1023 | { |
| 1024 | callback(V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"); |
| 1025 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 1026 | } |
| 1027 | |
| 1028 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 1029 | { |
| 1030 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&callback)); |
| 1031 | } |
| 1032 | |
| 1033 | // map the memory pool into shared pointers |
| 1034 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 1035 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 1036 | |
| 1037 | // allocate the tensors on the heap, as they are passed to the request thread |
| 1038 | auto inputTensors = std::make_shared<armnn::InputTensors>(); |
| 1039 | auto outputTensors = std::make_shared<armnn::OutputTensors>(); |
| 1040 | |
| 1041 | auto [status, outShapes, timing, message] = PrepareMemoryForIO(*inputTensors, *outputTensors, |
| 1042 | *memPools, request); |
| 1043 | if (status != V1_3::ErrorStatus::NONE) |
| 1044 | { |
| 1045 | callback(status, outShapes, timing, message); |
| 1046 | } |
| 1047 | |
| 1048 | switch(status) |
| 1049 | { |
| 1050 | case V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE: |
| 1051 | return V1_3::ErrorStatus::NONE; |
| 1052 | case V1_3::ErrorStatus::GENERAL_FAILURE: |
| 1053 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Sadik Armagan | a07d275 | 2021-05-12 20:33:58 +0100 | [diff] [blame] | 1054 | case V1_3::ErrorStatus::INVALID_ARGUMENT: |
| 1055 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1056 | default: |
| 1057 | {} |
| 1058 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1059 | CallbackContext_1_3 cb; |
| 1060 | cb.callback = callback; |
| 1061 | cb.ctx = ctx; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1062 | |
| 1063 | |
| 1064 | enum class QosExecPriority |
| 1065 | { |
| 1066 | Low = 0, |
| 1067 | Medium = 1, |
| 1068 | High = 2 |
| 1069 | }; |
| 1070 | |
| 1071 | |
| 1072 | if (m_AsyncModelExecutionEnabled) |
| 1073 | { |
| 1074 | armnn::QosExecPriority priority; |
| 1075 | |
| 1076 | switch (GetModelPriority()) { |
| 1077 | case V1_3::Priority::LOW: |
| 1078 | priority = armnn::QosExecPriority::Low; |
| 1079 | break; |
| 1080 | case V1_3::Priority::MEDIUM: |
| 1081 | priority = armnn::QosExecPriority::Medium; |
| 1082 | break; |
| 1083 | case V1_3::Priority::HIGH: |
| 1084 | priority = armnn::QosExecPriority::High; |
| 1085 | break; |
| 1086 | default: |
| 1087 | priority = armnn::QosExecPriority::Medium; |
| 1088 | |
| 1089 | } |
| 1090 | |
| 1091 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before ScheduleGraphForExecution"); |
| 1092 | ScheduleGraphForExecution(memPools, inputTensors, outputTensors, cb, priority); |
| 1093 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after ScheduleGraphForExecution"); |
| 1094 | return V1_3::ErrorStatus::NONE; |
| 1095 | } |
| 1096 | |
| 1097 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before PostMsg"); |
| 1098 | // post the request for asynchronous execution |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1099 | m_RequestThread.PostMsg(this, memPools, inputTensors, outputTensors, cb); |
| 1100 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after PostMsg"); |
| 1101 | return V1_3::ErrorStatus::NONE; |
| 1102 | } |
| 1103 | |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 1104 | template<typename HalVersion> |
| 1105 | V1_3::Priority ArmnnPreparedModel_1_3<HalVersion>::GetModelPriority() |
| 1106 | { |
| 1107 | return m_ModelPriority; |
| 1108 | } |
| 1109 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1110 | template<typename HalVersion> |
| 1111 | template <typename CallbackContext> |
| 1112 | void ArmnnPreparedModel_1_3<HalVersion>::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify( |
| 1113 | armnn::Status status, armnn::InferenceTimingPair timeTaken) |
| 1114 | { |
| 1115 | ALOGV("ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3<CallbackContext>::Notify"); |
| 1116 | CommitPools(*m_MemPools); |
| 1117 | |
| 1118 | m_Model->DumpTensorsIfRequired("Output", *m_OutputTensors); |
| 1119 | |
| 1120 | if (status != armnn::Status::Success) |
| 1121 | { |
| 1122 | ALOGW("ArmnnThreadPoolCallback_1_3::Notify EnqueueWorkload failed"); |
| 1123 | m_CallbackContext.callback(V1_3::ErrorStatus::GENERAL_FAILURE, |
| 1124 | {}, |
| 1125 | g_NoTiming, |
| 1126 | "ArmnnPreparedModel_1_3::ArmnnThreadPoolCallback_1_3"); |
| 1127 | return; |
| 1128 | } |
| 1129 | |
| 1130 | if (m_CallbackContext.ctx.measureTimings == V1_2::MeasureTiming::YES) |
| 1131 | { |
| 1132 | m_CallbackContext.ctx.deviceStart = timeTaken.first; |
| 1133 | m_CallbackContext.ctx.deviceEnd = timeTaken.second; |
| 1134 | m_CallbackContext.ctx.driverEnd = std::chrono::steady_clock::now(); |
| 1135 | V1_2::Timing timing; |
| 1136 | timing.timeOnDevice = MicrosecondsDuration(m_CallbackContext.ctx.deviceEnd, m_CallbackContext.ctx.deviceStart); |
| 1137 | timing.timeInDriver = MicrosecondsDuration(m_CallbackContext.ctx.driverEnd, m_CallbackContext.ctx.driverStart); |
Zingo Andersen | 7c56149 | 2022-01-25 11:09:41 +0100 | [diff] [blame] | 1138 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", |
| 1139 | static_cast<unsigned long>(timing.timeOnDevice), static_cast<unsigned long>(timing.timeInDriver)); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1140 | m_CallbackContext.callback( |
| 1141 | V1_3::ErrorStatus::NONE, m_OutputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1142 | } else |
| 1143 | { |
| 1144 | m_CallbackContext.callback( |
| 1145 | V1_3::ErrorStatus::NONE, m_OutputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 1146 | } |
| 1147 | return; |
| 1148 | } |
| 1149 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1150 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 1151 | template class ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 1152 | 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] | 1153 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1154 | armnn::InputTensors& pInputTensors, |
| 1155 | armnn::OutputTensors& pOutputTensors, |
| 1156 | CallbackContext_1_3 cb); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 1157 | |
| 1158 | template void ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>::ScheduleGraphForExecution<CallbackContext_1_3>( |
| 1159 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 1160 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 1161 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 1162 | CallbackContext_1_3 callbackContext, |
| 1163 | armnn::QosExecPriority priority); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1164 | #endif |
| 1165 | |
| 1166 | } // namespace armnn_driver |