Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 5 | // Note: the ArmnnFencedExecutionCallback and code snippet in the executeFenced() function |
| 6 | // in this file is based on Android code |
| 7 | // under the Apache 2.0 license. See comments below for details. |
| 8 | // |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 9 | |
| 10 | #define LOG_TAG "ArmnnDriver" |
| 11 | |
| 12 | #include "ArmnnPreparedModel_1_3.hpp" |
| 13 | #include "Utils.hpp" |
| 14 | |
| 15 | #include <Utils.h> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 16 | #include <android/sync.h> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 17 | #include <log/log.h> |
| 18 | #include <OperationsUtils.h> |
| 19 | #include <ExecutionBurstServer.h> |
| 20 | #include <ValidateHal.h> |
| 21 | |
| 22 | #include <cassert> |
| 23 | #include <cinttypes> |
| 24 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 25 | #ifdef ARMNN_ANDROID_S |
| 26 | #include <LegacyUtils.h> |
| 27 | #endif |
| 28 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 29 | using namespace android; |
| 30 | using namespace android::hardware; |
| 31 | |
| 32 | namespace { |
| 33 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 34 | 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] | 35 | using namespace armnn_driver; |
| 36 | using TimePoint = std::chrono::steady_clock::time_point; |
| 37 | |
| 38 | TimePoint Now() |
| 39 | { |
| 40 | return std::chrono::steady_clock::now(); |
| 41 | } |
| 42 | |
| 43 | unsigned long MicrosecondsDuration(TimePoint endPoint, TimePoint startPoint) |
| 44 | { |
| 45 | return static_cast<unsigned long>(std::chrono::duration_cast<std::chrono::microseconds>( |
| 46 | endPoint - startPoint).count()); |
| 47 | } |
| 48 | |
| 49 | void NotifyCallbackAndCheck(const ::android::sp<V1_0::IExecutionCallback>& callback, |
| 50 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 51 | std::vector<V1_2::OutputShape>, |
| 52 | const V1_2::Timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 53 | std::string callingFunction) |
| 54 | { |
| 55 | Return<void> returned = callback->notify(convertToV1_0(errorStatus)); |
| 56 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 57 | if (!returned.isOk()) |
| 58 | { |
| 59 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 60 | callingFunction.c_str(), returned.description().c_str()); |
| 61 | } |
| 62 | } |
| 63 | |
| 64 | void NotifyCallbackAndCheck(const ::android::sp<V1_2::IExecutionCallback>& callback, |
| 65 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 66 | std::vector<V1_2::OutputShape> outputShapes, |
| 67 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 68 | std::string callingFunction) |
| 69 | { |
| 70 | Return<void> returned = callback->notify_1_2(convertToV1_0(errorStatus), outputShapes, timing); |
| 71 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 72 | if (!returned.isOk()) |
| 73 | { |
| 74 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 75 | callingFunction.c_str(), returned.description().c_str()); |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | void NotifyCallbackAndCheck(const ::android::sp<V1_3::IExecutionCallback>& callback, |
| 80 | V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 81 | std::vector<V1_2::OutputShape> outputShapes, |
| 82 | const V1_2::Timing timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 83 | std::string callingFunction) |
| 84 | { |
| 85 | Return<void> returned = callback->notify_1_3(errorStatus, outputShapes, timing); |
| 86 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 87 | if (!returned.isOk()) |
| 88 | { |
| 89 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 90 | callingFunction.c_str(), returned.description().c_str()); |
| 91 | } |
| 92 | } |
| 93 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 94 | bool ValidateRequestArgument(const V1_0::RequestArgument& requestArg, const armnn::TensorInfo& tensorInfo) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 95 | { |
| 96 | if (requestArg.dimensions.size() != 0) |
| 97 | { |
| 98 | if (requestArg.dimensions.size() != tensorInfo.GetNumDimensions()) |
| 99 | { |
| 100 | ALOGE("Mismatched dimensions (request argument: %zu, expected: %u)", |
| 101 | requestArg.dimensions.size(), tensorInfo.GetNumDimensions()); |
| 102 | return false; |
| 103 | } |
| 104 | |
| 105 | for (unsigned int d = 0; d < tensorInfo.GetNumDimensions(); ++d) |
| 106 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 107 | if (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.GetShape()[d]) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 108 | { |
| 109 | ALOGE("Mismatched size for dimension %d (request argument: %u, expected %u)", |
| 110 | d, requestArg.dimensions[d], tensorInfo.GetShape()[d]); |
| 111 | return false; |
| 112 | } |
| 113 | } |
| 114 | } |
| 115 | |
| 116 | return true; |
| 117 | } |
| 118 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 119 | armnn::Tensor GetTensorForRequestArgument(const V1_0::RequestArgument& requestArg, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 120 | const armnn::TensorInfo& tensorInfo, |
| 121 | const std::vector<::android::nn::RunTimePoolInfo>& requestPools) |
| 122 | { |
| 123 | if (!ValidateRequestArgument(requestArg, tensorInfo)) |
| 124 | { |
| 125 | return armnn::Tensor(); |
| 126 | } |
| 127 | |
| 128 | return armnn::Tensor(tensorInfo, GetMemoryFromPool(requestArg.location, requestPools)); |
| 129 | } |
| 130 | |
| 131 | inline std::string BuildTensorName(const char* tensorNamePrefix, std::size_t index) |
| 132 | { |
| 133 | return tensorNamePrefix + std::to_string(index); |
| 134 | } |
| 135 | |
| 136 | } // anonymous namespace |
| 137 | |
| 138 | using namespace android::hardware; |
| 139 | |
| 140 | namespace armnn_driver |
| 141 | { |
| 142 | |
| 143 | template<typename HalVersion> |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 144 | RequestThread_1_3<ArmnnPreparedModel_1_3, HalVersion, CallbackContext_1_3> |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 145 | ArmnnPreparedModel_1_3<HalVersion>::m_RequestThread; |
| 146 | |
| 147 | template<typename HalVersion> |
| 148 | template<typename TensorBindingCollection> |
| 149 | void ArmnnPreparedModel_1_3<HalVersion>::DumpTensorsIfRequired(char const* tensorNamePrefix, |
| 150 | const TensorBindingCollection& tensorBindings) |
| 151 | { |
| 152 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 153 | { |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 154 | 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] | 155 | for (std::size_t i = 0u; i < tensorBindings.size(); ++i) |
| 156 | { |
| 157 | DumpTensor(m_RequestInputsAndOutputsDumpDir, |
| 158 | requestName, |
| 159 | BuildTensorName(tensorNamePrefix, i), |
| 160 | tensorBindings[i].second); |
| 161 | } |
| 162 | } |
| 163 | } |
| 164 | |
| 165 | template<typename HalVersion> |
| 166 | ArmnnPreparedModel_1_3<HalVersion>::ArmnnPreparedModel_1_3(armnn::NetworkId networkId, |
| 167 | armnn::IRuntime* runtime, |
| 168 | const V1_3::Model& model, |
| 169 | const std::string& requestInputsAndOutputsDumpDir, |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 170 | const bool gpuProfilingEnabled, |
| 171 | V1_3::Priority priority) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 172 | : m_NetworkId(networkId) |
| 173 | , m_Runtime(runtime) |
| 174 | , m_Model(model) |
| 175 | , m_RequestCount(0) |
| 176 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 177 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 178 | , m_ModelPriority(priority) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 179 | { |
| 180 | // Enable profiling if required. |
| 181 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
| 182 | } |
| 183 | |
| 184 | template<typename HalVersion> |
| 185 | ArmnnPreparedModel_1_3<HalVersion>::~ArmnnPreparedModel_1_3() |
| 186 | { |
| 187 | // Get a hold of the profiler used by this model. |
| 188 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
| 189 | |
| 190 | // Unload the network associated with this model. |
| 191 | m_Runtime->UnloadNetwork(m_NetworkId); |
| 192 | |
| 193 | // Dump the profiling info to a file if required. |
| 194 | DumpJsonProfilingIfRequired(m_GpuProfilingEnabled, m_RequestInputsAndOutputsDumpDir, m_NetworkId, profiler.get()); |
| 195 | } |
| 196 | |
| 197 | template<typename HalVersion> |
| 198 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute(const V1_0::Request& request, |
| 199 | const ::android::sp<V1_0::IExecutionCallback>& callback) |
| 200 | { |
| 201 | if (callback.get() == nullptr) |
| 202 | { |
| 203 | ALOGE("ArmnnPreparedModel_1_3::execute invalid callback passed"); |
| 204 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 205 | } |
| 206 | |
| 207 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 208 | std::vector<V1_2::OutputShape> outputShapes, |
| 209 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 210 | std::string callingFunction) |
| 211 | { |
| 212 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 213 | }; |
| 214 | |
| 215 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 216 | return convertToV1_0(Execute(convertToV1_3(request), V1_2::MeasureTiming::NO, cb)); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 217 | } |
| 218 | |
| 219 | template<typename HalVersion> |
| 220 | Return <V1_0::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_2( |
| 221 | const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 222 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 223 | const sp<V1_2::IExecutionCallback>& callback) |
| 224 | { |
| 225 | if (callback.get() == nullptr) |
| 226 | { |
| 227 | ALOGE("ArmnnPreparedModel_1_3::execute_1_2 invalid callback passed"); |
| 228 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 229 | } |
| 230 | |
| 231 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 232 | std::vector<V1_2::OutputShape> outputShapes, |
| 233 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 234 | std::string callingFunction) |
| 235 | { |
| 236 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 237 | }; |
| 238 | |
| 239 | return convertToV1_0(Execute(convertToV1_3(request), measureTiming, cb)); |
| 240 | } |
| 241 | |
| 242 | template<typename HalVersion> |
| 243 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::execute_1_3( |
| 244 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 245 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 246 | const V1_3::OptionalTimePoint&, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 247 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 248 | const sp<V1_3::IExecutionCallback>& callback) |
| 249 | { |
| 250 | if (callback.get() == nullptr) |
| 251 | { |
| 252 | ALOGE("ArmnnPreparedModel_1_3::execute_1_3 invalid callback passed"); |
| 253 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 254 | } |
| 255 | |
| 256 | auto cb = [callback](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 257 | std::vector<V1_2::OutputShape> outputShapes, |
| 258 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 259 | std::string callingFunction) |
| 260 | { |
| 261 | NotifyCallbackAndCheck(callback, errorStatus, outputShapes, timing, callingFunction); |
| 262 | }; |
| 263 | |
| 264 | return Execute(request, measureTiming, cb); |
| 265 | } |
| 266 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 267 | /// This class is inspired by the sample implementation in Android named SampleFencedExecutionCallback. |
| 268 | /// The original code is licensed under Apache-2.0 and can be found at the following link: |
| 269 | /// https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.h |
| 270 | class ArmnnFencedExecutionCallback : public V1_3::IFencedExecutionCallback |
| 271 | { |
| 272 | public: |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 273 | 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] | 274 | : m_ErrorStatus(errorStatus), m_Timing(timing), m_FenceTiming(fenceTiming) {} |
| 275 | ~ArmnnFencedExecutionCallback() {} |
| 276 | |
| 277 | Return<void> getExecutionInfo(getExecutionInfo_cb callback) override |
| 278 | { |
| 279 | callback(m_ErrorStatus, m_Timing, m_FenceTiming); |
| 280 | return Void(); |
| 281 | } |
| 282 | private: |
| 283 | V1_3::ErrorStatus m_ErrorStatus; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 284 | V1_2::Timing m_Timing; |
| 285 | V1_2::Timing m_FenceTiming; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 286 | }; |
| 287 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 288 | template<typename HalVersion> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 289 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeFenced(const V1_3::Request& request, |
| 290 | const hidl_vec<hidl_handle>& fenceWaitFor, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 291 | V1_2::MeasureTiming measureTiming, |
| 292 | const V1_3::OptionalTimePoint& deadline, |
| 293 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 294 | const V1_3::OptionalTimeoutDuration&, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 295 | executeFenced_cb cb) |
| 296 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 297 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...)"); |
| 298 | if (cb == nullptr) |
| 299 | { |
| 300 | ALOGE("ArmnnPreparedModel_1_3::executeFenced invalid callback passed"); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 301 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 302 | return Void(); |
| 303 | } |
| 304 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 305 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 306 | { |
| 307 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter deadline is set but not supported."); |
| 308 | } |
| 309 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 310 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 311 | { |
| 312 | ALOGW("ArmnnPreparedModel_1_3::executeFenced parameter loopTimeoutDuration is set but not supported."); |
| 313 | } |
| 314 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 315 | if (!android::nn::validateRequest(request, m_Model, /*allowUnspecifiedOutput=*/false)) |
| 316 | { |
| 317 | ALOGV("ArmnnPreparedModel_1_3::executeFenced outputs must be specified for fenced execution "); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 318 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 319 | return Void(); |
| 320 | } |
| 321 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 322 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 323 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 324 | { |
| 325 | ctx.measureTimings = measureTiming; |
| 326 | ctx.driverStart = Now(); |
| 327 | } |
| 328 | |
| 329 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(): %s", GetModelSummary(m_Model).c_str()); |
| 330 | m_RequestCount++; |
| 331 | |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 332 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 333 | { |
| 334 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&cb)); |
| 335 | } |
| 336 | |
| 337 | // This code snippet is inspired by the sample implementation in Android named SampleDriver::executeFenced() |
| 338 | // function. The original code is licensed under Apache-2.0 and can be found at the following link: |
| 339 | // https://android.googlesource.com/platform/frameworks/ml/+/master/nn/driver/sample/SampleDriver.cpp |
| 340 | const auto fenceSize = fenceWaitFor.size(); |
| 341 | for (unsigned int index = 0; index < fenceSize; ++index) |
| 342 | { |
| 343 | auto fenceNativeHandle = fenceWaitFor[index].getNativeHandle(); |
| 344 | if (!fenceNativeHandle) |
| 345 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 346 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 347 | return Void(); |
| 348 | } |
| 349 | |
| 350 | if (sync_wait(fenceNativeHandle->data[0], -1) < 0) |
| 351 | { |
| 352 | ALOGE("ArmnnPreparedModel_1_3::executeFenced sync fence failed."); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 353 | cb(V1_3::ErrorStatus::GENERAL_FAILURE, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 354 | return Void(); |
| 355 | } |
| 356 | } |
| 357 | |
| 358 | TimePoint fenceExecutionStart; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 359 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 360 | { |
| 361 | fenceExecutionStart = Now(); |
| 362 | } |
| 363 | |
| 364 | // map the memory pool into shared pointers |
| 365 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 366 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 367 | |
| 368 | // allocate the tensors on the heap, as they are passed to the request thread |
| 369 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 370 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 371 | |
| 372 | auto [status, outShapes, timings, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 373 | if (status != V1_3::ErrorStatus::NONE) |
| 374 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 375 | cb(V1_3::ErrorStatus::INVALID_ARGUMENT, hidl_handle(nullptr), nullptr); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 376 | return Void(); |
| 377 | } |
| 378 | |
| 379 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) before ExecuteGraph"); |
| 380 | |
| 381 | // 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] | 382 | 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] | 383 | CallbackContext_1_3 cbCtx; |
| 384 | cbCtx.callback = nullCallback; |
| 385 | cbCtx.ctx = ctx; |
| 386 | |
| 387 | auto errorStatus = ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 388 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 389 | { |
| 390 | cb(errorStatus, hidl_handle(nullptr), nullptr); |
| 391 | return Void(); |
| 392 | } |
| 393 | ALOGV("ArmnnPreparedModel_1_3::executeFenced(...) after ExecuteGraph"); |
| 394 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 395 | V1_2::Timing timing = g_NoTiming; |
| 396 | V1_2::Timing fenceTiming = g_NoTiming; |
| 397 | if (measureTiming == V1_2::MeasureTiming::YES) |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 398 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 399 | fenceTiming.timeOnDevice = MicrosecondsDuration(ctx.deviceEnd, ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 400 | fenceTiming.timeInDriver = MicrosecondsDuration(ctx.driverEnd, fenceExecutionStart); |
| 401 | ALOGV("ArmnnPreparedModel_1_3::fenceFinishExecutionTiming - Device = %lu Driver = %lu", |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 402 | fenceTiming.timeOnDevice, fenceTiming.timeInDriver); |
| 403 | } |
| 404 | |
| 405 | sp<ArmnnFencedExecutionCallback> armnnFencedExecutionCallback = |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 406 | new ArmnnFencedExecutionCallback(V1_3::ErrorStatus::NONE, timing, fenceTiming); |
| 407 | cb(V1_3::ErrorStatus::NONE, hidl_handle(nullptr), armnnFencedExecutionCallback); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 408 | return Void(); |
| 409 | } |
| 410 | |
| 411 | template<typename HalVersion> |
| 412 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForInputs( |
| 413 | armnn::InputTensors& inputs, |
| 414 | const V1_3::Request& request, |
| 415 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 416 | { |
| 417 | inputs.reserve(request.inputs.size()); |
| 418 | for (unsigned int i = 0; i < request.inputs.size(); i++) |
| 419 | { |
| 420 | const auto& inputArg = request.inputs[i]; |
| 421 | |
| 422 | const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 423 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools); |
| 424 | |
| 425 | if (inputTensor.GetMemoryArea() == nullptr) |
| 426 | { |
| 427 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
| 428 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 429 | } |
| 430 | |
| 431 | inputs.emplace_back(i, inputTensor); |
| 432 | } |
| 433 | |
| 434 | return V1_3::ErrorStatus::NONE; |
| 435 | } |
| 436 | |
| 437 | template<typename HalVersion> |
| 438 | Return<V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForOutputs( |
| 439 | armnn::OutputTensors& outputs, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 440 | std::vector<V1_2::OutputShape> &outputShapes, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 441 | const V1_3::Request& request, |
| 442 | const std::vector<android::nn::RunTimePoolInfo>& memPools) |
| 443 | { |
| 444 | outputs.reserve(request.outputs.size()); |
| 445 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 446 | { |
| 447 | const auto& outputArg = request.outputs[i]; |
| 448 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 449 | armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 450 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools); |
| 451 | if (outputTensor.GetMemoryArea() == nullptr) |
| 452 | { |
| 453 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
| 454 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
| 455 | } |
| 456 | |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 457 | const size_t outputSize = outputTensorInfo.GetNumBytes(); |
| 458 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 459 | unsigned int count = 0; |
| 460 | std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](auto dim) |
| 461 | { |
| 462 | if (dim != 0) |
| 463 | { |
| 464 | outputTensorInfo.GetShape()[count] = dim; |
| 465 | } |
| 466 | else |
| 467 | { |
| 468 | outputTensorInfo.GetShape()[count] = outputArg.dimensions.size(); |
| 469 | } |
| 470 | |
| 471 | count++; |
| 472 | }); |
| 473 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 474 | outputs.emplace_back(i, outputTensor); |
| 475 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 476 | |
| 477 | if (outputArg.location.length < outputSize) |
| 478 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 479 | ALOGW("ArmnnPreparedModel_1_3::Execute failed outputArg.location.length (%s) < outputSize (%s)", |
| 480 | 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] | 481 | outputShapes[i].isSufficient = false; |
| 482 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 483 | } |
| 484 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 485 | size_t bufferSize = 0; |
| 486 | #if !defined(ARMNN_ANDROID_S) |
| 487 | bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size(); |
| 488 | if (bufferSize < outputSize) |
| 489 | #else |
| 490 | bufferSize = memPools.at(outputArg.location.poolIndex).getMemory().size; |
| 491 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 492 | if (bufferSize < outputSize) |
| 493 | { |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 494 | ALOGW("ArmnnPreparedModel_1_3::Execute failed bufferSize (%s) < outputSize (%s)", |
| 495 | std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str()); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 496 | outputShapes[i].isSufficient = false; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 497 | return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE; |
| 498 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 499 | } |
| 500 | |
| 501 | return V1_3::ErrorStatus::NONE; |
| 502 | } |
| 503 | |
| 504 | template<typename HalVersion> |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 505 | 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] | 506 | ArmnnPreparedModel_1_3<HalVersion>::PrepareMemoryForIO(armnn::InputTensors& inputs, |
| 507 | armnn::OutputTensors& outputs, |
| 508 | std::vector<android::nn::RunTimePoolInfo>& memPools, |
| 509 | const V1_3::Request& request) |
| 510 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 511 | #if !defined(ARMNN_ANDROID_S) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 512 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 513 | #else |
| 514 | if (!setRunTimePoolInfosFromMemoryPools(&memPools, uncheckedConvert(request.pools))) |
| 515 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 516 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 517 | return {V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 518 | } |
| 519 | |
| 520 | // add the inputs and outputs with their data |
| 521 | try |
| 522 | { |
| 523 | if (PrepareMemoryForInputs(inputs, request, memPools) != V1_3::ErrorStatus::NONE) |
| 524 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 525 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 526 | } |
| 527 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 528 | std::vector<V1_2::OutputShape> outputShapes(request.outputs.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 529 | |
| 530 | auto errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools); |
| 531 | if (errorStatus != V1_3::ErrorStatus::NONE) |
| 532 | { |
| 533 | return {errorStatus, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 534 | } |
| 535 | } |
| 536 | catch (armnn::Exception& e) |
| 537 | { |
| 538 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 539 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 540 | } |
| 541 | catch (std::exception& e) |
| 542 | { |
| 543 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 544 | return {V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 545 | } |
| 546 | |
| 547 | return {V1_3::ErrorStatus::NONE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"}; |
| 548 | } |
| 549 | |
| 550 | template<typename HalVersion> |
| 551 | template<typename CallbackContext> |
| 552 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::ExecuteSynchronously(const V1_3::Request& request, |
| 553 | CallbackContext cbCtx) |
| 554 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 555 | if (cbCtx.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 556 | { |
| 557 | cbCtx.ctx.driverStart = Now(); |
| 558 | } |
| 559 | |
| 560 | if (!android::nn::validateRequest(convertToV1_3(request), m_Model)) |
| 561 | { |
| 562 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 563 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 564 | {}, |
| 565 | g_NoTiming, |
| 566 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 567 | return Void(); |
| 568 | } |
| 569 | |
| 570 | if (!android::nn::validateRequest(request, m_Model)) |
| 571 | { |
| 572 | ALOGE("ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
| 573 | cbCtx.callback(V1_3::ErrorStatus::INVALID_ARGUMENT, |
| 574 | {}, |
| 575 | g_NoTiming, |
| 576 | "ArmnnPreparedModel_1_3::ExecuteSynchronously invalid request model"); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 577 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 578 | } |
| 579 | |
| 580 | |
| 581 | // map the memory pool into shared pointers |
| 582 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 583 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 584 | |
| 585 | // allocate the tensors on the heap, as they are passed to the request thread |
| 586 | auto inputs = std::make_shared<armnn::InputTensors>(); |
| 587 | auto outputs = std::make_shared<armnn::OutputTensors>(); |
| 588 | |
| 589 | auto [status, outputShapes, timing, message] = PrepareMemoryForIO(*inputs, *outputs, *memPools, request); |
| 590 | if (status != V1_3::ErrorStatus::NONE) |
| 591 | { |
| 592 | cbCtx.callback(status, outputShapes, timing, message); |
Sadik Armagan | ef8a393 | 2020-04-09 17:21:50 +0100 | [diff] [blame] | 593 | return Void(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 594 | } |
| 595 | |
| 596 | ALOGV("ArmnnPreparedModel_1_3::ExecuteSynchronously() before Execution"); |
| 597 | |
| 598 | ExecuteGraph(memPools, *inputs, *outputs, cbCtx); |
| 599 | return Void(); |
| 600 | } |
| 601 | |
| 602 | template<typename HalVersion> |
| 603 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously(const V1_0::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 604 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 605 | executeSynchronously_cb cb) |
| 606 | { |
| 607 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously(): %s", GetModelSummary(m_Model).c_str()); |
| 608 | m_RequestCount++; |
| 609 | |
| 610 | if (cb == nullptr) |
| 611 | { |
| 612 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously invalid callback passed"); |
| 613 | return Void(); |
| 614 | } |
| 615 | |
| 616 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 617 | std::vector<V1_2::OutputShape> outputShapes, |
| 618 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 619 | std::string) |
| 620 | { |
| 621 | cb(convertToV1_0(errorStatus), outputShapes, timing); |
| 622 | }; |
| 623 | |
| 624 | CallbackContext_1_3 cbCtx; |
| 625 | cbCtx.callback = cbWrapper; |
| 626 | cbCtx.ctx.measureTimings = measureTiming; |
| 627 | |
| 628 | ExecuteSynchronously(convertToV1_3(request), cbCtx); |
| 629 | return Void(); |
| 630 | } |
| 631 | |
| 632 | template<typename HalVersion> |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 633 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::executeSynchronously_1_3( |
| 634 | const V1_3::Request& request, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 635 | V1_2::MeasureTiming measureTiming, |
Kevin May | 352d838 | 2020-03-31 15:03:42 +0100 | [diff] [blame] | 636 | const V1_3::OptionalTimePoint& deadline, |
| 637 | const V1_3::OptionalTimeoutDuration& loopTimeoutDuration, |
| 638 | executeSynchronously_1_3_cb cb) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 639 | { |
| 640 | ALOGV("ArmnnPreparedModel_1_3::executeSynchronously_1_3(): %s", GetModelSummary(m_Model).c_str()); |
| 641 | m_RequestCount++; |
| 642 | |
| 643 | if (cb == nullptr) |
| 644 | { |
| 645 | ALOGE("ArmnnPreparedModel_1_3::executeSynchronously_1_3 invalid callback passed"); |
| 646 | return Void(); |
| 647 | } |
| 648 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 649 | if (deadline.getDiscriminator() != V1_3::OptionalTimePoint::hidl_discriminator::none) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 650 | { |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 651 | 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] | 652 | } |
| 653 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 654 | if (loopTimeoutDuration.getDiscriminator() != V1_3::OptionalTimeoutDuration::hidl_discriminator::none) |
Sadik Armagan | 7b9ce8d | 2020-04-21 10:39:28 +0100 | [diff] [blame] | 655 | { |
| 656 | ALOGW( |
| 657 | "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] | 658 | } |
| 659 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 660 | auto cbWrapper = [cb](V1_3::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 661 | std::vector<V1_2::OutputShape> outputShapes, |
| 662 | const V1_2::Timing& timing, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 663 | std::string) |
| 664 | { |
| 665 | cb(errorStatus, outputShapes, timing); |
| 666 | }; |
| 667 | |
| 668 | CallbackContext_1_3 cbCtx; |
| 669 | cbCtx.callback = cbWrapper; |
| 670 | cbCtx.ctx.measureTimings = measureTiming; |
| 671 | |
| 672 | ExecuteSynchronously(request, cbCtx); |
| 673 | return Void(); |
| 674 | } |
| 675 | |
| 676 | template<typename HalVersion> |
| 677 | Return<void> ArmnnPreparedModel_1_3<HalVersion>::configureExecutionBurst( |
| 678 | const sp<V1_2::IBurstCallback>& callback, |
| 679 | const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, |
| 680 | const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, |
| 681 | V1_3::IPreparedModel::configureExecutionBurst_cb cb) |
| 682 | { |
| 683 | ALOGV("ArmnnPreparedModel_1_3::configureExecutionBurst"); |
| 684 | const sp<V1_2::IBurstContext> burst = ExecutionBurstServer::create(callback, |
| 685 | requestChannel, |
| 686 | resultChannel, |
| 687 | this); |
| 688 | |
| 689 | if (burst == nullptr) |
| 690 | { |
| 691 | cb(V1_0::ErrorStatus::GENERAL_FAILURE, {}); |
| 692 | } |
| 693 | else |
| 694 | { |
| 695 | cb(V1_0::ErrorStatus::NONE, burst); |
| 696 | } |
| 697 | return Void(); |
| 698 | } |
| 699 | |
| 700 | template<typename HalVersion> |
| 701 | template<typename CallbackContext> |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 702 | Return <V1_3::ErrorStatus> ArmnnPreparedModel_1_3<HalVersion>::ExecuteGraph( |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 703 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 704 | armnn::InputTensors& inputTensors, |
| 705 | armnn::OutputTensors& outputTensors, |
| 706 | CallbackContext cb) |
| 707 | { |
| 708 | ALOGV("ArmnnPreparedModel_1_3::ExecuteGraph(...)"); |
| 709 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 710 | DumpTensorsIfRequired("Input", inputTensors); |
| 711 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 712 | std::vector<V1_2::OutputShape> outputShapes(outputTensors.size()); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 713 | for (unsigned int i = 0; i < outputTensors.size(); i++) |
| 714 | { |
| 715 | std::pair<int, armnn::Tensor> outputTensorPair = outputTensors[i]; |
| 716 | const armnn::Tensor outputTensor = outputTensorPair.second; |
| 717 | const armnn::TensorInfo outputTensorInfo = outputTensor.GetInfo(); |
| 718 | |
| 719 | outputShapes[i] = ComputeShape(outputTensorInfo); |
| 720 | } |
| 721 | |
| 722 | // run it |
| 723 | try |
| 724 | { |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 725 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 726 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 727 | cb.ctx.deviceStart = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 728 | } |
| 729 | |
| 730 | armnn::Status status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 731 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 732 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 733 | { |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 734 | cb.ctx.deviceEnd = Now(); |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 735 | } |
| 736 | if (status != armnn::Status::Success) |
| 737 | { |
| 738 | ALOGW("EnqueueWorkload failed"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 739 | cb.callback(V1_3::ErrorStatus::GENERAL_FAILURE, {}, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 740 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 741 | } |
| 742 | } |
| 743 | catch (armnn::Exception& e) |
| 744 | { |
| 745 | ALOGW("armnn:Exception caught from EnqueueWorkload: %s", e.what()); |
| 746 | 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] | 747 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 748 | } |
| 749 | catch (std::exception& e) |
| 750 | { |
| 751 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
| 752 | 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] | 753 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 754 | } |
| 755 | |
| 756 | CommitPools(*pMemPools); |
| 757 | |
| 758 | DumpTensorsIfRequired("Output", outputTensors); |
| 759 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 760 | if (cb.ctx.measureTimings == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 761 | { |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 762 | cb.ctx.driverEnd = Now(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 763 | V1_2::Timing timing; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 764 | timing.timeOnDevice = MicrosecondsDuration(cb.ctx.deviceEnd, cb.ctx.deviceStart); |
Kevin May | 949a69e | 2020-04-24 10:21:40 +0100 | [diff] [blame] | 765 | timing.timeInDriver = MicrosecondsDuration(cb.ctx.driverEnd, cb.ctx.driverStart); |
| 766 | ALOGV("ArmnnPreparedModel_1_3::execute timing - Device = %lu Driver = %lu", timing.timeOnDevice, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 767 | timing.timeInDriver); |
| 768 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, timing, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 769 | } else |
| 770 | { |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 771 | cb.callback(V1_3::ErrorStatus::NONE, outputShapes, g_NoTiming, "ArmnnPreparedModel_1_3::ExecuteGraph"); |
| 772 | } |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 773 | return V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 774 | } |
| 775 | |
| 776 | template<typename HalVersion> |
| 777 | bool ArmnnPreparedModel_1_3<HalVersion>::ExecuteWithDummyInputs() |
| 778 | { |
| 779 | std::vector<std::vector<char>> storage; |
| 780 | armnn::InputTensors inputTensors; |
| 781 | for (unsigned int i = 0; i < getMainModel(m_Model).inputIndexes.size(); i++) |
| 782 | { |
| 783 | const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 784 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 785 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 786 | |
| 787 | inputTensors.emplace_back(i, inputTensor); |
| 788 | } |
| 789 | |
| 790 | armnn::OutputTensors outputTensors; |
| 791 | for (unsigned int i = 0; i < getMainModel(m_Model).outputIndexes.size(); i++) |
| 792 | { |
| 793 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 794 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 795 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 796 | |
| 797 | outputTensors.emplace_back(i, outputTensor); |
| 798 | } |
| 799 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 800 | 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] | 801 | CallbackContext_1_3 callbackContext; |
| 802 | callbackContext.callback = nullCallback; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 803 | callbackContext.ctx.measureTimings = V1_2::MeasureTiming::NO; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 804 | auto memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>(); |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 805 | |
| 806 | auto errorStatus = ExecuteGraph(memPools, |
| 807 | inputTensors, |
| 808 | outputTensors, |
| 809 | callbackContext); |
| 810 | return errorStatus == V1_3::ErrorStatus::NONE; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 811 | } |
| 812 | |
| 813 | template<typename HalVersion> |
| 814 | 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] | 815 | V1_2::MeasureTiming measureTiming, |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 816 | CallbackAsync_1_3 callback) |
| 817 | { |
| 818 | ExecutionContext_1_3 ctx; |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 819 | if (measureTiming == V1_2::MeasureTiming::YES) |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 820 | { |
| 821 | ctx.measureTimings = measureTiming; |
| 822 | ctx.driverStart = Now(); |
| 823 | } |
| 824 | |
| 825 | ALOGV("ArmnnPreparedModel_1_3::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 826 | m_RequestCount++; |
| 827 | |
| 828 | if (!android::nn::validateRequest(request, m_Model)) |
| 829 | { |
| 830 | callback(V1_3::ErrorStatus::INVALID_ARGUMENT, {}, g_NoTiming, "ArmnnPreparedModel_1_3::execute"); |
| 831 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
| 832 | } |
| 833 | |
| 834 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 835 | { |
| 836 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(&callback)); |
| 837 | } |
| 838 | |
| 839 | // map the memory pool into shared pointers |
| 840 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 841 | auto memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
| 842 | |
| 843 | // allocate the tensors on the heap, as they are passed to the request thread |
| 844 | auto inputTensors = std::make_shared<armnn::InputTensors>(); |
| 845 | auto outputTensors = std::make_shared<armnn::OutputTensors>(); |
| 846 | |
| 847 | auto [status, outShapes, timing, message] = PrepareMemoryForIO(*inputTensors, *outputTensors, |
| 848 | *memPools, request); |
| 849 | if (status != V1_3::ErrorStatus::NONE) |
| 850 | { |
| 851 | callback(status, outShapes, timing, message); |
| 852 | } |
| 853 | |
| 854 | switch(status) |
| 855 | { |
| 856 | case V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE: |
| 857 | return V1_3::ErrorStatus::NONE; |
| 858 | case V1_3::ErrorStatus::GENERAL_FAILURE: |
| 859 | return V1_3::ErrorStatus::GENERAL_FAILURE; |
Sadik Armagan | 42d0f1f | 2021-05-12 20:33:58 +0100 | [diff] [blame^] | 860 | case V1_3::ErrorStatus::INVALID_ARGUMENT: |
| 861 | return V1_3::ErrorStatus::INVALID_ARGUMENT; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 862 | default: |
| 863 | {} |
| 864 | } |
| 865 | |
| 866 | ALOGV("ArmnnPreparedModel_1_3::execute(...) before PostMsg"); |
| 867 | |
| 868 | // post the request for asynchronous execution |
| 869 | CallbackContext_1_3 cb; |
| 870 | cb.callback = callback; |
| 871 | cb.ctx = ctx; |
| 872 | m_RequestThread.PostMsg(this, memPools, inputTensors, outputTensors, cb); |
| 873 | ALOGV("ArmnnPreparedModel_1_3::execute(...) after PostMsg"); |
| 874 | return V1_3::ErrorStatus::NONE; |
| 875 | } |
| 876 | |
Narumol Prangnawarat | cad4e91 | 2020-06-02 12:07:43 +0100 | [diff] [blame] | 877 | template<typename HalVersion> |
| 878 | V1_3::Priority ArmnnPreparedModel_1_3<HalVersion>::GetModelPriority() |
| 879 | { |
| 880 | return m_ModelPriority; |
| 881 | } |
| 882 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 883 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 884 | template class ArmnnPreparedModel_1_3<hal_1_3::HalPolicy>; |
Sadik Armagan | d7be72e | 2020-04-23 12:56:05 +0100 | [diff] [blame] | 885 | 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] | 886 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 887 | armnn::InputTensors& pInputTensors, |
| 888 | armnn::OutputTensors& pOutputTensors, |
| 889 | CallbackContext_1_3 cb); |
| 890 | #endif |
| 891 | |
| 892 | } // namespace armnn_driver |