telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | 93e4898 | 2018-09-05 13:05:09 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #define LOG_TAG "ArmnnDriver" |
| 7 | |
| 8 | #include "ArmnnPreparedModel.hpp" |
| 9 | #include "Utils.hpp" |
| 10 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 11 | #include <log/log.h> |
| 12 | #include <OperationsUtils.h> |
surmeh01 | deb3bdb | 2018-07-05 12:06:04 +0100 | [diff] [blame] | 13 | #include <ValidateHal.h> |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 14 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 15 | #include <cassert> |
| 16 | #include <cinttypes> |
| 17 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 18 | #ifdef ARMNN_ANDROID_S |
| 19 | #include <LegacyUtils.h> |
| 20 | #endif |
| 21 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 22 | using namespace android; |
| 23 | |
| 24 | namespace |
| 25 | { |
| 26 | using namespace armnn_driver; |
| 27 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 28 | void NotifyCallbackAndCheck(const ::android::sp<V1_0::IExecutionCallback>& callback, V1_0::ErrorStatus errorStatus, |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 29 | std::string callingFunction) |
| 30 | { |
| 31 | Return<void> returned = callback->notify(errorStatus); |
| 32 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 33 | if (!returned.isOk()) |
| 34 | { |
| 35 | ALOGE("ArmnnDriver::%s: hidl callback failed to return properly: %s", |
| 36 | callingFunction.c_str(), returned.description().c_str()); |
| 37 | } |
| 38 | } |
| 39 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 40 | bool ValidateRequestArgument(const V1_0::RequestArgument& requestArg, const armnn::TensorInfo& tensorInfo) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 41 | { |
| 42 | if (requestArg.dimensions.size() != 0) |
| 43 | { |
| 44 | if (requestArg.dimensions.size() != tensorInfo.GetNumDimensions()) |
| 45 | { |
| 46 | ALOGE("Mismatched dimensions (request argument: %zu, expected: %u)", |
| 47 | requestArg.dimensions.size(), tensorInfo.GetNumDimensions()); |
| 48 | return false; |
| 49 | } |
| 50 | |
| 51 | for (unsigned int d = 0; d < tensorInfo.GetNumDimensions(); ++d) |
| 52 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 53 | if (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.GetShape()[d]) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 54 | { |
| 55 | ALOGE("Mismatched size for dimension %d (request argument: %u, expected %u)", |
| 56 | d, requestArg.dimensions[d], tensorInfo.GetShape()[d]); |
| 57 | return false; |
| 58 | } |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | return true; |
| 63 | } |
| 64 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 65 | armnn::Tensor GetTensorForRequestArgument(const V1_0::RequestArgument& requestArg, |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 66 | const armnn::TensorInfo& tensorInfo, |
| 67 | const std::vector<::android::nn::RunTimePoolInfo>& requestPools) |
| 68 | { |
| 69 | if (!ValidateRequestArgument(requestArg, tensorInfo)) |
| 70 | { |
| 71 | return armnn::Tensor(); |
| 72 | } |
| 73 | |
| 74 | return armnn::Tensor(tensorInfo, GetMemoryFromPool(requestArg.location, requestPools)); |
| 75 | } |
| 76 | |
| 77 | inline std::string BuildTensorName(const char* tensorNamePrefix, std::size_t index) |
| 78 | { |
| 79 | return tensorNamePrefix + std::to_string(index); |
| 80 | } |
| 81 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 82 | } // anonymous namespace |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 83 | |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 84 | using namespace android::hardware; |
| 85 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 86 | namespace armnn_driver |
| 87 | { |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 88 | template<typename HalVersion> |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 89 | RequestThread<ArmnnPreparedModel, HalVersion, CallbackContext_1_0> |
| 90 | ArmnnPreparedModel<HalVersion>::m_RequestThread; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 91 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 92 | template<typename HalVersion> |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 93 | template <typename TensorBindingCollection> |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 94 | void ArmnnPreparedModel<HalVersion>::DumpTensorsIfRequired(char const* tensorNamePrefix, |
| 95 | const TensorBindingCollection& tensorBindings) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 96 | { |
| 97 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 98 | { |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 99 | const std::string requestName = std::to_string(m_NetworkId) + "_" + std::to_string(m_RequestCount) + ".dump"; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 100 | for (std::size_t i = 0u; i < tensorBindings.size(); ++i) |
| 101 | { |
| 102 | DumpTensor(m_RequestInputsAndOutputsDumpDir, |
| 103 | requestName, |
| 104 | BuildTensorName(tensorNamePrefix, i), |
| 105 | tensorBindings[i].second); |
| 106 | } |
| 107 | } |
| 108 | } |
| 109 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 110 | template<typename HalVersion> |
| 111 | ArmnnPreparedModel<HalVersion>::ArmnnPreparedModel(armnn::NetworkId networkId, |
| 112 | armnn::IRuntime* runtime, |
| 113 | const HalModel& model, |
| 114 | const std::string& requestInputsAndOutputsDumpDir, |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 115 | const bool gpuProfilingEnabled, |
| 116 | const bool asyncModelExecutionEnabled) |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 117 | : m_NetworkId(networkId) |
| 118 | , m_Runtime(runtime) |
| 119 | , m_Model(model) |
| 120 | , m_RequestCount(0) |
| 121 | , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir) |
| 122 | , m_GpuProfilingEnabled(gpuProfilingEnabled) |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 123 | , m_AsyncModelExecutionEnabled(asyncModelExecutionEnabled) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 124 | { |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 125 | // Enable profiling if required. |
| 126 | m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled); |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 127 | |
| 128 | if (asyncModelExecutionEnabled) |
| 129 | { |
| 130 | m_WorkingMemHandle = m_Runtime->CreateWorkingMemHandle(networkId); |
| 131 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 132 | } |
| 133 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 134 | template<typename HalVersion> |
| 135 | ArmnnPreparedModel<HalVersion>::~ArmnnPreparedModel() |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 136 | { |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 137 | // Get a hold of the profiler used by this model. |
| 138 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
| 139 | |
| 140 | // Unload the network associated with this model. |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 141 | m_Runtime->UnloadNetwork(m_NetworkId); |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 142 | |
| 143 | // Dump the profiling info to a file if required. |
| 144 | DumpJsonProfilingIfRequired(m_GpuProfilingEnabled, m_RequestInputsAndOutputsDumpDir, m_NetworkId, profiler.get()); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 145 | } |
| 146 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 147 | template<typename HalVersion> |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 148 | Return<V1_0::ErrorStatus> ArmnnPreparedModel<HalVersion>::execute( |
| 149 | const V1_0::Request& request, |
| 150 | const ::android::sp<V1_0::IExecutionCallback>& callback) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 151 | { |
| 152 | ALOGV("ArmnnPreparedModel::execute(): %s", GetModelSummary(m_Model).c_str()); |
| 153 | m_RequestCount++; |
| 154 | |
| 155 | if (callback.get() == nullptr) { |
| 156 | ALOGE("ArmnnPreparedModel::execute invalid callback passed"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 157 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 158 | } |
| 159 | |
| 160 | if (!android::nn::validateRequest(request, m_Model)) |
| 161 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 162 | NotifyCallbackAndCheck(callback, V1_0::ErrorStatus::INVALID_ARGUMENT, "ArmnnPreparedModel::execute"); |
| 163 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 164 | } |
| 165 | |
| 166 | if (!m_RequestInputsAndOutputsDumpDir.empty()) |
| 167 | { |
| 168 | ALOGD("Dumping inputs and outputs for request %" PRIuPTR, reinterpret_cast<std::uintptr_t>(callback.get())); |
| 169 | } |
| 170 | |
| 171 | // allocate the tensors on the heap, as they are passed to the request thread |
| 172 | auto pInputTensors = std::make_shared<armnn::InputTensors>(); |
| 173 | auto pOutputTensors = std::make_shared<armnn::OutputTensors>(); |
| 174 | |
| 175 | // map the memory pool into shared pointers |
| 176 | // use a shared memory pools vector on the heap, as it is passed to the request thread |
| 177 | auto pMemPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>(); |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 178 | #if !defined(ARMNN_ANDROID_S) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 179 | if (!setRunTimePoolInfosFromHidlMemories(pMemPools.get(), request.pools)) |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 180 | #else |
| 181 | if (!setRunTimePoolInfosFromCanonicalMemories(pMemPools.get(), uncheckedConvert(request.pools))) |
| 182 | #endif |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 183 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 184 | NotifyCallbackAndCheck(callback, V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::execute"); |
| 185 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 186 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 187 | // add the inputs and outputs with their data |
| 188 | try |
| 189 | { |
| 190 | pInputTensors->reserve(request.inputs.size()); |
| 191 | for (unsigned int i = 0; i < request.inputs.size(); i++) |
| 192 | { |
| 193 | const auto& inputArg = request.inputs[i]; |
| 194 | |
| 195 | const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 196 | const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, *pMemPools); |
| 197 | if (inputTensor.GetMemoryArea() == nullptr) |
| 198 | { |
| 199 | ALOGE("Cannot execute request. Error converting request input %u to tensor", i); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 200 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 201 | } |
| 202 | |
| 203 | pInputTensors->emplace_back(i, inputTensor); |
| 204 | } |
| 205 | |
| 206 | pOutputTensors->reserve(request.outputs.size()); |
| 207 | for (unsigned int i = 0; i < request.outputs.size(); i++) |
| 208 | { |
| 209 | const auto& outputArg = request.outputs[i]; |
| 210 | |
| 211 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 212 | const armnn::Tensor outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, *pMemPools); |
| 213 | if (outputTensor.GetMemoryArea() == nullptr) |
| 214 | { |
| 215 | ALOGE("Cannot execute request. Error converting request output %u to tensor", i); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 216 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 217 | } |
| 218 | |
| 219 | pOutputTensors->emplace_back(i, outputTensor); |
| 220 | } |
| 221 | } |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 222 | catch (armnn::Exception& e) |
| 223 | { |
| 224 | ALOGW("armnn::Exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 225 | NotifyCallbackAndCheck(callback, V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::execute"); |
| 226 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 227 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 228 | catch (std::exception& e) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 229 | { |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 230 | ALOGE("std::exception caught while preparing for EnqueueWorkload: %s", e.what()); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 231 | NotifyCallbackAndCheck(callback, V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::execute"); |
| 232 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 233 | } |
| 234 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 235 | auto cb = [callback](V1_0::ErrorStatus errorStatus, std::string callingFunction) |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 236 | { |
| 237 | NotifyCallbackAndCheck(callback, errorStatus, callingFunction); |
| 238 | }; |
| 239 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 240 | CallbackContext_1_0 armnnCb; |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 241 | armnnCb.callback = cb; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 242 | |
| 243 | if (m_AsyncModelExecutionEnabled) |
| 244 | { |
| 245 | ALOGV("ArmnnPreparedModel::execute(...) before ScheduleGraphForExecution"); |
| 246 | ScheduleGraphForExecution(pMemPools, pInputTensors, pOutputTensors, armnnCb); |
| 247 | ALOGV("ArmnnPreparedModel::execute(...) after ScheduleGraphForExecution"); |
| 248 | return V1_0::ErrorStatus::NONE; |
| 249 | } |
| 250 | |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 251 | // post the request for asynchronous execution |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 252 | ALOGV("ArmnnPreparedModel::execute(...) before PostMsg"); |
Mike Kelly | 65c42dc | 2019-07-22 14:06:00 +0100 | [diff] [blame] | 253 | m_RequestThread.PostMsg(this, pMemPools, pInputTensors, pOutputTensors, armnnCb); |
| 254 | ALOGV("ArmnnPreparedModel::execute(...) after PostMsg"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 255 | return V1_0::ErrorStatus::NONE; // successfully queued |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 256 | } |
| 257 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 258 | template<typename HalVersion> |
| 259 | void ArmnnPreparedModel<HalVersion>::ExecuteGraph( |
| 260 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 261 | armnn::InputTensors& inputTensors, |
| 262 | armnn::OutputTensors& outputTensors, |
| 263 | CallbackContext_1_0 cb) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 264 | { |
| 265 | ALOGV("ArmnnPreparedModel::ExecuteGraph(...)"); |
| 266 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 267 | DumpTensorsIfRequired("Input", inputTensors); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 268 | |
| 269 | // run it |
| 270 | try |
| 271 | { |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 272 | armnn::Status status; |
| 273 | if (m_AsyncModelExecutionEnabled) |
| 274 | { |
| 275 | ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 276 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 277 | } |
| 278 | else |
| 279 | { |
| 280 | ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
| 281 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 282 | } |
| 283 | |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 284 | if (status != armnn::Status::Success) |
| 285 | { |
| 286 | ALOGW("EnqueueWorkload failed"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 287 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::ExecuteGraph"); |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 288 | return; |
| 289 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 290 | } |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 291 | catch (armnn::Exception& e) |
| 292 | { |
| 293 | ALOGW("armnn::Exception caught from EnqueueWorkload: %s", e.what()); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 294 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::ExecuteGraph"); |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 295 | return; |
| 296 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 297 | catch (std::exception& e) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 298 | { |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 299 | ALOGE("std::exception caught from EnqueueWorkload: %s", e.what()); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 300 | cb.callback(V1_0::ErrorStatus::GENERAL_FAILURE, "ArmnnPreparedModel::ExecuteGraph"); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 301 | return; |
| 302 | } |
| 303 | |
Derek Lamberti | 4de83c5 | 2020-03-17 13:40:18 +0000 | [diff] [blame] | 304 | DumpTensorsIfRequired("Output", outputTensors); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 305 | |
| 306 | // Commit output buffers. |
| 307 | // Note that we update *all* pools, even if they aren't actually used as outputs - |
| 308 | // this is simpler and is what the CpuExecutor does. |
| 309 | for (android::nn::RunTimePoolInfo& pool : *pMemPools) |
| 310 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 311 | // Type android::nn::RunTimePoolInfo has changed between Android P & Q and Android R, where |
| 312 | // update() has been removed and flush() added. |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 313 | #if defined(ARMNN_ANDROID_R) || defined(ARMNN_ANDROID_S) // Use the new Android implementation. |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 314 | pool.flush(); |
| 315 | #else |
| 316 | pool.update(); |
| 317 | #endif |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 318 | } |
| 319 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 320 | cb.callback(V1_0::ErrorStatus::NONE, "ExecuteGraph"); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 321 | } |
| 322 | |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 323 | template<typename HalVersion> |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 324 | bool ArmnnPreparedModel<HalVersion>::ExecuteWithDummyInputs() |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 325 | { |
| 326 | std::vector<std::vector<char>> storage; |
| 327 | armnn::InputTensors inputTensors; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 328 | for (unsigned int i = 0; i < getMainModel(m_Model).inputIndexes.size(); i++) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 329 | { |
| 330 | const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i); |
| 331 | storage.emplace_back(inputTensorInfo.GetNumBytes()); |
| 332 | const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data()); |
| 333 | |
| 334 | inputTensors.emplace_back(i, inputTensor); |
| 335 | } |
| 336 | |
| 337 | armnn::OutputTensors outputTensors; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 338 | for (unsigned int i = 0; i < getMainModel(m_Model).outputIndexes.size(); i++) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 339 | { |
| 340 | const armnn::TensorInfo outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, i); |
| 341 | storage.emplace_back(outputTensorInfo.GetNumBytes()); |
| 342 | const armnn::Tensor outputTensor(outputTensorInfo, storage.back().data()); |
| 343 | |
| 344 | outputTensors.emplace_back(i, outputTensor); |
| 345 | } |
| 346 | |
| 347 | try |
| 348 | { |
Finn Williams | 8fde84b | 2021-05-31 14:57:15 +0100 | [diff] [blame^] | 349 | armnn::Status status; |
| 350 | if (m_AsyncModelExecutionEnabled) |
| 351 | { |
| 352 | ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled true"); |
| 353 | status = m_Runtime->Execute(*m_WorkingMemHandle, inputTensors, outputTensors); |
| 354 | } |
| 355 | else |
| 356 | { |
| 357 | ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false"); |
| 358 | status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 359 | } |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 360 | if (status != armnn::Status::Success) |
| 361 | { |
| 362 | ALOGW("ExecuteWithDummyInputs: EnqueueWorkload failed"); |
| 363 | return false; |
| 364 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 365 | } |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 366 | catch (armnn::Exception& e) |
| 367 | { |
| 368 | ALOGW("ExecuteWithDummyInputs: armnn::Exception caught from EnqueueWorkload: %s", e.what()); |
| 369 | return false; |
| 370 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 371 | catch (std::exception& e) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 372 | { |
Kevin May | 7bdaac5 | 2020-02-10 12:10:07 +0000 | [diff] [blame] | 373 | ALOGE("ExecuteWithDummyInputs: std::exception caught from EnqueueWorkload: %s", e.what()); |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 374 | return false; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 375 | } |
Matthew Bentham | 16196e2 | 2019-04-01 17:17:58 +0100 | [diff] [blame] | 376 | return true; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 377 | } |
| 378 | |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 379 | /// Schedule the graph prepared from the request for execution |
| 380 | template<typename HalVersion> |
| 381 | template<typename CallbackContext> |
| 382 | void ArmnnPreparedModel<HalVersion>::ScheduleGraphForExecution( |
| 383 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 384 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 385 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 386 | CallbackContext callbackContext) |
| 387 | { |
| 388 | ALOGV("ArmnnPreparedModel::ScheduleGraphForExecution(...)"); |
| 389 | |
| 390 | DumpTensorsIfRequired("Input", *inputTensors); |
| 391 | |
| 392 | |
| 393 | auto tpCb = std::make_shared< |
| 394 | ArmnnThreadPoolCallback<CallbackContext_1_0>>(this, |
| 395 | pMemPools, |
| 396 | inputTensors, |
| 397 | outputTensors, |
| 398 | callbackContext); |
| 399 | |
| 400 | m_Runtime->Schedule(m_NetworkId, |
| 401 | *tpCb->m_InputTensors, |
| 402 | *tpCb->m_OutputTensors, |
| 403 | armnn::QosExecPriority::High, |
| 404 | tpCb); |
| 405 | ALOGV("ArmnnPreparedModel::ScheduleGraphForExecution end"); |
| 406 | } |
| 407 | |
| 408 | template<typename HalVersion> |
| 409 | template <typename CallbackContext> |
| 410 | void ArmnnPreparedModel<HalVersion>::ArmnnThreadPoolCallback<CallbackContext>::Notify( |
| 411 | armnn::Status status, armnn::InferenceTimingPair timeTaken) |
| 412 | { |
| 413 | armnn::IgnoreUnused(status, timeTaken); |
| 414 | ALOGV("ArmnnPreparedModel::ArmnnThreadPoolCallback_1_2 Notify"); |
| 415 | |
| 416 | m_Model->DumpTensorsIfRequired("Output", *m_OutputTensors); |
| 417 | |
| 418 | // Commit output buffers. |
| 419 | // Note that we update *all* pools, even if they aren't actually used as outputs - |
| 420 | // this is simpler and is what the CpuExecutor does. |
| 421 | for (android::nn::RunTimePoolInfo& pool : *m_MemPools) |
| 422 | { |
| 423 | // Type android::nn::RunTimePoolInfo has changed between Android P & Q and Android R, where |
| 424 | // update() has been removed and flush() added. |
| 425 | #if defined(ARMNN_ANDROID_R) || defined(ARMNN_ANDROID_S) // Use the new Android implementation. |
| 426 | pool.flush(); |
| 427 | #else |
| 428 | pool.update(); |
| 429 | #endif |
| 430 | } |
| 431 | |
| 432 | m_CallbackContext.callback(V1_0::ErrorStatus::NONE, "ArmnnPreparedModel::ArmnnThreadPoolCallback_1_2 Notify"); |
| 433 | return; |
| 434 | } |
| 435 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 436 | /// |
| 437 | /// Class template specializations |
| 438 | /// |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 439 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 440 | template class ArmnnPreparedModel<hal_1_0::HalPolicy>; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 441 | template void ArmnnPreparedModel<hal_1_0::HalPolicy>::ScheduleGraphForExecution<CallbackContext_1_0>( |
| 442 | std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools, |
| 443 | std::shared_ptr<armnn::InputTensors>& inputTensors, |
| 444 | std::shared_ptr<armnn::OutputTensors>& outputTensors, |
| 445 | CallbackContext_1_0 callbackContext); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 446 | |
Matteo Martincigh | 8b287c2 | 2018-09-07 09:25:10 +0100 | [diff] [blame] | 447 | #ifdef ARMNN_ANDROID_NN_V1_1 |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 448 | template class ArmnnPreparedModel<hal_1_1::HalPolicy>; |
Matteo Martincigh | e48bdff | 2018-09-03 13:50:50 +0100 | [diff] [blame] | 449 | #endif |
| 450 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 451 | #ifdef ARMNN_ANDROID_NN_V1_2 |
| 452 | template class ArmnnPreparedModel<hal_1_1::HalPolicy>; |
| 453 | template class ArmnnPreparedModel<hal_1_2::HalPolicy>; |
| 454 | #endif |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 455 | |
| 456 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 457 | template class ArmnnPreparedModel<hal_1_1::HalPolicy>; |
| 458 | template class ArmnnPreparedModel<hal_1_2::HalPolicy>; |
| 459 | template class ArmnnPreparedModel<hal_1_3::HalPolicy>; |
| 460 | #endif |
Nikhil Raj | 7760582 | 2018-09-03 11:25:56 +0100 | [diff] [blame] | 461 | } // namespace armnn_driver |