Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ArmnnDriverImpl.hpp" |
| 7 | #include "../ArmnnPreparedModel_1_2.hpp" |
| 8 | #include "../ModelToINetworkConverter.hpp" |
| 9 | #include "../SystemPropertiesUtils.hpp" |
| 10 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 11 | #include <armnnDeserializer/IDeserializer.hpp> |
| 12 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 13 | #include <log/log.h> |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 14 | #include <sys/stat.h> |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 15 | |
| 16 | namespace |
| 17 | { |
| 18 | |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 19 | const char *g_RelaxedFloat32toFloat16PerformanceExecTime = "ArmNN.relaxedFloat32toFloat16Performance.execTime"; |
FinnWilliamsArm | df655ee | 2019-07-24 16:04:18 +0100 | [diff] [blame] | 20 | const char *g_RelaxedFloat32toFloat16PerformancePowerUsage = "ArmNN.relaxedFloat32toFloat16Performance.powerUsage"; |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 21 | |
| 22 | const char *g_OperandTypeTensorFloat32PerformanceExecTime = "Armnn.operandTypeTensorFloat32Performance.execTime"; |
| 23 | const char *g_OperandTypeTensorFloat32PerformancePowerUsage = "Armnn.operandTypeTensorFloat32Performance.powerUsage"; |
| 24 | |
| 25 | const char *g_OperandTypeFloat32PerformanceExecTime = "Armnn.operandTypeFloat32Performance.execTime"; |
| 26 | const char *g_OperandTypeFloat32PerformancePowerUsage = "Armnn.operandTypeFloat32Performance.powerUsage"; |
| 27 | |
| 28 | const char *g_OperandTypeTensorFloat16PerformanceExecTime = "Armnn.operandTypeTensorFloat16Performance.execTime"; |
| 29 | const char *g_OperandTypeTensorFloat16PerformancePowerUsage = "Armnn.operandTypeTensorFloat16Performance.powerUsage"; |
| 30 | |
| 31 | const char *g_OperandTypeFloat16PerformanceExecTime = "Armnn.operandTypeFloat16Performance.execTime"; |
| 32 | const char *g_OperandTypeFloat16PerformancePowerUsage = "Armnn.operandTypeFloat16Performance.powerUsage"; |
| 33 | |
| 34 | const char *g_OperandTypeTensorQuant8AsymmPerformanceExecTime = |
| 35 | "Armnn.operandTypeTensorQuant8AsymmPerformance.execTime"; |
| 36 | const char *g_OperandTypeTensorQuant8AsymmPerformancePowerUsage = |
| 37 | "Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage"; |
| 38 | |
| 39 | const char *g_OperandTypeTensorQuant16SymmPerformanceExecTime = |
| 40 | "Armnn.operandTypeTensorQuant16SymmPerformance.execTime"; |
| 41 | const char *g_OperandTypeTensorQuant16SymmPerformancePowerUsage = |
| 42 | "Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage"; |
| 43 | |
Pablo Tello | fb45e2f | 2019-10-18 16:51:57 +0100 | [diff] [blame] | 44 | const char *g_OperandTypeTensorQuant8SymmPerformanceExecTime = |
| 45 | "Armnn.operandTypeTensorQuant8SymmPerformance.execTime"; |
| 46 | const char *g_OperandTypeTensorQuant8SymmPerformancePowerUsage = |
| 47 | "Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage"; |
| 48 | |
Kevin May | 87cb761 | 2019-11-11 17:30:35 +0000 | [diff] [blame] | 49 | const char *g_OperandTypeTensorQuant8SymmPerChannelPerformanceExecTime = |
| 50 | "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime"; |
| 51 | const char *g_OperandTypeTensorQuant8SymmPerChannelPerformancePowerUsage = |
| 52 | "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage"; |
| 53 | |
Pablo Tello | fb45e2f | 2019-10-18 16:51:57 +0100 | [diff] [blame] | 54 | |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 55 | const char *g_OperandTypeTensorInt32PerformanceExecTime = "Armnn.operandTypeTensorInt32Performance.execTime"; |
| 56 | const char *g_OperandTypeTensorInt32PerformancePowerUsage = "Armnn.operandTypeTensorInt32Performance.powerUsage"; |
| 57 | |
| 58 | const char *g_OperandTypeInt32PerformanceExecTime = "Armnn.operandTypeInt32Performance.execTime"; |
| 59 | const char *g_OperandTypeInt32PerformancePowerUsage = "Armnn.operandTypeInt32Performance.powerUsage"; |
| 60 | |
| 61 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 62 | void NotifyCallbackAndCheck(const android::sp<V1_2::IPreparedModelCallback>& callback, |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 63 | V1_0::ErrorStatus errorStatus, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 64 | const android::sp<V1_2::IPreparedModel>& preparedModelPtr) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 65 | { |
Ferran Balaguer | b2397fd | 2019-07-25 12:12:39 +0100 | [diff] [blame] | 66 | Return<void> returned = callback->notify_1_2(errorStatus, preparedModelPtr); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 67 | // This check is required, if the callback fails and it isn't checked it will bring down the service |
| 68 | if (!returned.isOk()) |
| 69 | { |
| 70 | ALOGE("ArmnnDriverImpl::prepareModel: hidl callback failed to return properly: %s ", |
| 71 | returned.description().c_str()); |
| 72 | } |
| 73 | } |
| 74 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 75 | Return<V1_0::ErrorStatus> FailPrepareModel(V1_0::ErrorStatus error, |
| 76 | const std::string& message, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 77 | const android::sp<V1_2::IPreparedModelCallback>& callback) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 78 | { |
| 79 | ALOGW("ArmnnDriverImpl::prepareModel: %s", message.c_str()); |
| 80 | NotifyCallbackAndCheck(callback, error, nullptr); |
| 81 | return error; |
| 82 | } |
| 83 | |
| 84 | } // anonymous namespace |
| 85 | |
| 86 | namespace armnn_driver |
| 87 | { |
| 88 | namespace hal_1_2 |
| 89 | { |
| 90 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 91 | Return<V1_0::ErrorStatus> ArmnnDriverImpl::prepareArmnnModel_1_2( |
| 92 | const armnn::IRuntimePtr& runtime, |
| 93 | const armnn::IGpuAccTunedParametersPtr& clTunedParameters, |
| 94 | const DriverOptions& options, |
| 95 | const V1_2::Model& model, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 96 | const android::hardware::hidl_vec<android::hardware::hidl_handle>& modelCacheHandle, |
| 97 | const android::hardware::hidl_vec<android::hardware::hidl_handle>& dataCacheHandle, |
| 98 | const HidlToken& token, |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 99 | const android::sp<V1_2::IPreparedModelCallback>& cb, |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 100 | bool float32ToFloat16) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 101 | { |
Matteo Martincigh | 0bd89a8 | 2019-07-02 16:53:10 +0100 | [diff] [blame] | 102 | ALOGV("ArmnnDriverImpl::prepareArmnnModel_1_2()"); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 103 | |
| 104 | if (cb.get() == nullptr) |
| 105 | { |
| 106 | ALOGW("ArmnnDriverImpl::prepareModel: Invalid callback passed to prepareModel"); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 107 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 108 | } |
| 109 | |
| 110 | if (!runtime) |
| 111 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 112 | return FailPrepareModel(V1_0::ErrorStatus::DEVICE_UNAVAILABLE, "Device unavailable", cb); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 113 | } |
| 114 | |
| 115 | if (!android::nn::validateModel(model)) |
| 116 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 117 | return FailPrepareModel(V1_0::ErrorStatus::INVALID_ARGUMENT, "Invalid model passed as input", cb); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 118 | } |
| 119 | |
| 120 | // Deliberately ignore any unsupported operations requested by the options - |
| 121 | // at this point we're being asked to prepare a model that we've already declared support for |
| 122 | // and the operation indices may be different to those in getSupportedOperations anyway. |
| 123 | std::set<unsigned int> unsupportedOperations; |
| 124 | ModelToINetworkConverter<HalPolicy> modelConverter(options.GetBackends(), |
| 125 | model, |
| 126 | unsupportedOperations); |
| 127 | |
| 128 | if (modelConverter.GetConversionResult() != ConversionResult::Success) |
| 129 | { |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 130 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "ModelToINetworkConverter failed", cb); |
| 131 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 132 | } |
| 133 | |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 134 | // Serialize the network graph to a .armnn file if an output directory |
| 135 | // has been specified in the drivers' arguments. |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 136 | std::vector<uint8_t> dataCacheData; |
| 137 | bool serializeToFile = dataCacheHandle.size() < 1 ? false : true; |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 138 | auto serializedNetworkFileName = |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 139 | SerializeNetwork(*modelConverter.GetINetwork(), |
| 140 | options.GetRequestInputsAndOutputsDumpDir(), |
| 141 | dataCacheData, |
| 142 | serializeToFile); |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 143 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 144 | // Optimize the network |
| 145 | armnn::IOptimizedNetworkPtr optNet(nullptr, nullptr); |
| 146 | armnn::OptimizerOptions OptOptions; |
| 147 | OptOptions.m_ReduceFp32ToFp16 = float32ToFloat16; |
Kevin May | daf7dd0 | 2021-10-22 11:57:30 +0100 | [diff] [blame] | 148 | OptOptions.m_ProfilingEnabled = options.IsGpuProfilingEnabled(); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 149 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 150 | int cachedFd = -1; |
| 151 | bool saveCachedNetwork = options.SaveCachedNetwork(); |
| 152 | |
| 153 | unsigned int numberOfCachedModelFiles = 0; |
| 154 | if (modelCacheHandle.size() > 0) |
| 155 | { |
| 156 | unsigned int index = 0; |
| 157 | for (auto& backend : options.GetBackends()) |
| 158 | { |
| 159 | // modelCacheHandle size should be equal to numberOfCachedModelFiles |
| 160 | // modelCacheHandle vector should be in same order as backends |
| 161 | auto numberOfCacheFiles = GetNumberOfCacheFiles(backend); |
| 162 | if (numberOfCacheFiles > 0) |
| 163 | { |
| 164 | numberOfCachedModelFiles += numberOfCacheFiles; |
| 165 | if (modelCacheHandle[index]->numFds == 1) |
| 166 | { |
| 167 | if (backend == armnn::Compute::GpuAcc) |
| 168 | { |
| 169 | cachedFd = modelCacheHandle[index]->data[0]; |
| 170 | saveCachedNetwork = true; |
| 171 | } |
| 172 | } |
| 173 | index += numberOfCachedModelFiles; |
| 174 | } |
| 175 | } |
| 176 | } |
| 177 | |
Mike Kelly | 7ed56dd | 2020-09-30 20:22:56 +0100 | [diff] [blame] | 178 | armnn::BackendOptions gpuAcc("GpuAcc", |
| 179 | { |
Sadik Armagan | f36e10b | 2021-01-11 16:34:01 +0000 | [diff] [blame] | 180 | { "FastMathEnabled", options.IsFastMathEnabled() }, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 181 | { "SaveCachedNetwork", saveCachedNetwork }, |
Finn Williams | f5ca16c | 2021-02-12 14:26:23 +0000 | [diff] [blame] | 182 | { "CachedNetworkFilePath", options.GetCachedNetworkFilePath() }, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 183 | { "MLGOTuningFilePath", options.GetClMLGOTunedParametersFile() }, |
| 184 | { "CachedFileDescriptor", cachedFd } |
Mike Kelly | 7ed56dd | 2020-09-30 20:22:56 +0100 | [diff] [blame] | 185 | }); |
Finn Williams | f5ca16c | 2021-02-12 14:26:23 +0000 | [diff] [blame] | 186 | |
Mike Kelly | 7ed56dd | 2020-09-30 20:22:56 +0100 | [diff] [blame] | 187 | armnn::BackendOptions cpuAcc("CpuAcc", |
| 188 | { |
Matthew Sloyan | cd639c9 | 2021-02-11 16:57:38 +0000 | [diff] [blame] | 189 | { "FastMathEnabled", options.IsFastMathEnabled() }, |
| 190 | { "NumberOfThreads", options.GetNumberOfThreads() } |
Mike Kelly | 7ed56dd | 2020-09-30 20:22:56 +0100 | [diff] [blame] | 191 | }); |
| 192 | OptOptions.m_ModelOptions.push_back(gpuAcc); |
| 193 | OptOptions.m_ModelOptions.push_back(cpuAcc); |
| 194 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 195 | std::vector<std::string> errMessages; |
| 196 | try |
| 197 | { |
| 198 | optNet = armnn::Optimize(*modelConverter.GetINetwork(), |
| 199 | options.GetBackends(), |
| 200 | runtime->GetDeviceSpec(), |
| 201 | OptOptions, |
| 202 | errMessages); |
| 203 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 204 | catch (std::exception &e) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 205 | { |
| 206 | std::stringstream message; |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 207 | message << "Exception (" << e.what() << ") caught from optimize."; |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 208 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 209 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 210 | } |
| 211 | |
| 212 | // Check that the optimized network is valid. |
| 213 | if (!optNet) |
| 214 | { |
| 215 | std::stringstream message; |
| 216 | message << "Invalid optimized network"; |
| 217 | for (const std::string& msg : errMessages) |
| 218 | { |
| 219 | message << "\n" << msg; |
| 220 | } |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 221 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 222 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 223 | } |
| 224 | |
| 225 | // Export the optimized network graph to a dot file if an output dump directory |
| 226 | // has been specified in the drivers' arguments. |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 227 | std::string dotGraphFileName = ExportNetworkGraphToDotFile(*optNet, |
| 228 | options.GetRequestInputsAndOutputsDumpDir()); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 229 | |
| 230 | // Load it into the runtime. |
| 231 | armnn::NetworkId netId = 0; |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 232 | std::string msg; |
| 233 | armnn::INetworkProperties networkProperties(options.isAsyncModelExecutionEnabled(), |
| 234 | MemorySource::Undefined, |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 235 | MemorySource::Undefined, |
| 236 | options.IsGpuProfilingEnabled()); |
| 237 | |
| 238 | auto numInputs = getMainModel(model).inputIndexes.size(); |
| 239 | auto numOutputs = getMainModel(model).outputIndexes.size(); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 240 | try |
| 241 | { |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 242 | if (runtime->LoadNetwork(netId, move(optNet), msg, networkProperties) != armnn::Status::Success) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 243 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 244 | return FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, msg, cb); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 245 | } |
| 246 | } |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 247 | catch (std::exception& e) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 248 | { |
| 249 | std::stringstream message; |
Derek Lamberti | b9cb844 | 2019-11-28 13:34:48 +0000 | [diff] [blame] | 250 | message << "Exception (" << e.what()<< ") caught from LoadNetwork."; |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 251 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 252 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 253 | } |
| 254 | |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 255 | // Now that we have a networkId for the graph rename the exported files to use it |
| 256 | // so that we can associate the graph file and the input/output tensor exported files |
| 257 | RenameExportedFiles(serializedNetworkFileName, |
| 258 | dotGraphFileName, |
| 259 | options.GetRequestInputsAndOutputsDumpDir(), |
| 260 | netId); |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 261 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 262 | std::unique_ptr<ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>> preparedModel( |
| 263 | new ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>( |
| 264 | netId, |
| 265 | runtime.get(), |
| 266 | model, |
| 267 | options.GetRequestInputsAndOutputsDumpDir(), |
Finn Williams | d8fb540 | 2021-05-19 20:52:00 +0100 | [diff] [blame] | 268 | options.IsGpuProfilingEnabled(), |
Finn Williams | ca3a3e0 | 2021-06-11 15:04:02 +0100 | [diff] [blame] | 269 | options.isAsyncModelExecutionEnabled(), |
| 270 | options.getNoOfArmnnThreads())); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 271 | |
| 272 | // Run a single 'dummy' inference of the model. This means that CL kernels will get compiled (and tuned if |
| 273 | // this is enabled) before the first 'real' inference which removes the overhead of the first inference. |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 274 | // Only run this if the GpuAcc backend has been added to options |
| 275 | if (std::find(options.GetBackends().begin(), |
| 276 | options.GetBackends().end(), |
| 277 | armnn::Compute::GpuAcc) != options.GetBackends().end()) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 278 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 279 | if (!preparedModel->ExecuteWithDummyInputs(numInputs, numOutputs)) |
| 280 | { |
| 281 | return FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Network could not be executed", cb); |
| 282 | } |
| 283 | |
| 284 | if (clTunedParameters && |
| 285 | options.GetClTunedParametersMode() == armnn::IGpuAccTunedParameters::Mode::UpdateTunedParameters) |
| 286 | { |
| 287 | // Now that we've done one inference the CL kernel parameters will have been tuned, |
| 288 | // so save the updated file. |
| 289 | try |
| 290 | { |
| 291 | clTunedParameters->Save(options.GetClTunedParametersFile().c_str()); |
| 292 | } |
| 293 | catch (std::exception& error) |
| 294 | { |
| 295 | ALOGE("ArmnnDriverImpl::prepareModel: Failed to save CL tuned parameters file '%s': %s", |
| 296 | options.GetClTunedParametersFile().c_str(), error.what()); |
| 297 | } |
| 298 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 299 | } |
| 300 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 301 | size_t hashValue = 0; |
| 302 | // Cache the model |
| 303 | if (dataCacheHandle.size() > 0) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 304 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 305 | // Cache the Arm NN model, should be only 1 |
| 306 | if (dataCacheHandle.size() != 1) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 307 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 308 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
| 309 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 310 | } |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 311 | |
| 312 | if (dataCacheHandle[0]->numFds != 1) |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 313 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 314 | ALOGW("ArmnnDriverImpl::prepareArmnnModel_1_3: Cannot cache the data, numFds != 1."); |
| 315 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
| 316 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 317 | } |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 318 | |
| 319 | if (dataCacheHandle[0]->data[0] < 0) |
| 320 | { |
| 321 | ALOGW("ArmnnDriverImpl::prepareArmnnModel_1_3: Cannot cache the data, fd < 0"); |
| 322 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
| 323 | return V1_0::ErrorStatus::NONE; |
| 324 | } |
| 325 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 326 | int dataCacheFileAccessMode = fcntl(dataCacheHandle[0]->data[0], F_GETFL) & O_ACCMODE; |
| 327 | if (dataCacheFileAccessMode != O_RDWR) |
| 328 | { |
| 329 | ALOGW("ArmnnDriverImpl::prepareModelFromCache_1_2(): Invalid Access Mode."); |
| 330 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
| 331 | return V1_0::ErrorStatus::NONE; |
| 332 | } |
| 333 | |
| 334 | write(dataCacheHandle[0]->data[0], dataCacheData.data(), dataCacheData.size()); |
| 335 | hashValue = CacheDataHandlerInstance().Hash(dataCacheData); |
| 336 | } |
| 337 | |
| 338 | if (modelCacheHandle.size() > 0) |
| 339 | { |
| 340 | if (modelCacheHandle.size() != numberOfCachedModelFiles) |
| 341 | { |
| 342 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
| 343 | return V1_0::ErrorStatus::NONE; |
| 344 | } |
| 345 | for (uint32_t i = 0; i < modelCacheHandle.size(); ++i) |
| 346 | { |
| 347 | if (modelCacheHandle[i]->numFds == 1) |
| 348 | { |
| 349 | int modelCacheFileAccessMode = fcntl(modelCacheHandle[i]->data[0], F_GETFL) & O_ACCMODE; |
| 350 | if (modelCacheFileAccessMode != O_RDONLY) |
| 351 | { |
| 352 | struct stat statBuffer; |
| 353 | if (fstat(modelCacheHandle[i]->data[0], &statBuffer) == 0) |
| 354 | { |
| 355 | long modelDataSize = statBuffer.st_size; |
| 356 | if (modelDataSize > 0) |
| 357 | { |
| 358 | std::vector <uint8_t> modelData(modelDataSize); |
| 359 | pread(modelCacheHandle[i]->data[0], modelData.data(), modelData.size(), 0); |
| 360 | hashValue ^= CacheDataHandlerInstance().Hash(modelData); |
| 361 | } |
| 362 | } |
| 363 | } |
| 364 | } |
| 365 | } |
| 366 | } |
| 367 | if (hashValue != 0) |
| 368 | { |
| 369 | CacheDataHandlerInstance().Register(token, hashValue, dataCacheData.size()); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 370 | } |
| 371 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 372 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 373 | return V1_0::ErrorStatus::NONE; |
| 374 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 375 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 376 | Return<V1_0::ErrorStatus> ArmnnDriverImpl::prepareModelFromCache( |
| 377 | const armnn::IRuntimePtr& runtime, |
| 378 | const DriverOptions& options, |
| 379 | const android::hardware::hidl_vec<android::hardware::hidl_handle>& modelCacheHandle, |
| 380 | const android::hardware::hidl_vec<android::hardware::hidl_handle>& dataCacheHandle, |
| 381 | const HidlToken& token, |
| 382 | const android::sp<V1_2::IPreparedModelCallback>& cb, |
| 383 | bool float32ToFloat16) |
| 384 | { |
| 385 | ALOGV("ArmnnDriverImpl::prepareModelFromCache()"); |
| 386 | |
| 387 | if (cb.get() == nullptr) |
| 388 | { |
| 389 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Invalid callback passed to prepareModel"); |
| 390 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 391 | } |
| 392 | |
| 393 | if (!runtime) |
| 394 | { |
| 395 | return FailPrepareModel(V1_0::ErrorStatus::DEVICE_UNAVAILABLE, "Device unavailable", cb); |
| 396 | } |
| 397 | |
| 398 | if (token.size() != ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN) |
| 399 | { |
| 400 | FailPrepareModel(V1_0::ErrorStatus::INVALID_ARGUMENT, "Invalid token passed!", cb); |
| 401 | return V1_0::ErrorStatus::INVALID_ARGUMENT; |
| 402 | } |
| 403 | |
| 404 | // DataCacheHandle size should always be 1 |
| 405 | // Arm NN model |
| 406 | if (dataCacheHandle.size() != 1) |
| 407 | { |
| 408 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "No data cache!", cb); |
| 409 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 410 | } |
| 411 | |
| 412 | // Check if model files cached they match the expected value |
| 413 | unsigned int numberOfCachedModelFiles = 0; |
| 414 | for (auto& backend : options.GetBackends()) |
| 415 | { |
| 416 | numberOfCachedModelFiles += GetNumberOfCacheFiles(backend); |
| 417 | } |
| 418 | if (modelCacheHandle.size() != numberOfCachedModelFiles) |
| 419 | { |
| 420 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Invalid model cache!", cb); |
| 421 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 422 | } |
| 423 | |
| 424 | if (dataCacheHandle[0]->numFds != 1) |
| 425 | { |
| 426 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Cannot read from the cache data, numFds != 1."); |
| 427 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "No data cache!", cb); |
| 428 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 429 | } |
| 430 | |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 431 | if (dataCacheHandle[0]->data[0] < 0) |
| 432 | { |
| 433 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Cannot read from the cache data, fd < 0"); |
| 434 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "No data cache!", cb); |
| 435 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 436 | } |
| 437 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 438 | int dataCacheFileAccessMode = fcntl(dataCacheHandle[0]->data[0], F_GETFL) & O_ACCMODE; |
| 439 | if (dataCacheFileAccessMode != O_RDWR) |
| 440 | { |
| 441 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Invalid Access Mode!", cb); |
| 442 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 443 | } |
| 444 | |
| 445 | auto dataSize = CacheDataHandlerInstance().GetCacheSize(token); |
| 446 | if (dataSize == 0) |
| 447 | { |
| 448 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Invalid data to deserialize!"); |
| 449 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Invalid data to deserialize!", cb); |
| 450 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 451 | } |
| 452 | |
| 453 | int offset = 0; |
| 454 | { |
| 455 | struct stat statBuffer; |
| 456 | if (fstat(dataCacheHandle[0]->data[0], &statBuffer) == 0) |
| 457 | { |
| 458 | unsigned long bufferSize = statBuffer.st_size; |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 459 | if (bufferSize != dataSize) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 460 | { |
| 461 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Invalid data to deserialize!"); |
| 462 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Invalid data to deserialize!", cb); |
| 463 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 464 | } |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 465 | } |
| 466 | } |
| 467 | std::vector<uint8_t> dataCacheData(dataSize); |
| 468 | pread(dataCacheHandle[0]->data[0], dataCacheData.data(), dataCacheData.size(), offset); |
| 469 | auto hashValue = CacheDataHandlerInstance().Hash(dataCacheData); |
| 470 | |
| 471 | int gpuAccCachedFd = -1; |
| 472 | bool saveCachedNetwork = false; |
| 473 | if (modelCacheHandle.size() > 0) |
| 474 | { |
| 475 | unsigned int index = 0; |
| 476 | for (auto& backend : options.GetBackends()) |
| 477 | { |
| 478 | // modelCacheHandle size should be equal to numberOfCachedModelFiles |
| 479 | // modelCacheHandle vector should be in same order as backends |
| 480 | auto numberOfCacheFiles = GetNumberOfCacheFiles(backend); |
| 481 | if (numberOfCacheFiles > 0) |
| 482 | { |
| 483 | if (modelCacheHandle[index]->numFds != 1) |
| 484 | { |
| 485 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: Cannot read from the model cache, numFds != 1."); |
| 486 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, |
| 487 | "Cannot read from the model cache, numFds != 1.", cb); |
| 488 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 489 | } |
| 490 | auto cachedFd = modelCacheHandle[index]->data[0]; |
| 491 | |
| 492 | int modelCacheFileAccessMode = fcntl(cachedFd, F_GETFL) & O_ACCMODE; |
| 493 | if (modelCacheFileAccessMode != O_RDWR) |
| 494 | { |
| 495 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Invalid Access Mode!", cb); |
| 496 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 497 | } |
| 498 | |
| 499 | struct stat statBuffer; |
| 500 | if (cachedFd != -1 && fstat(cachedFd, &statBuffer) == 0) |
| 501 | { |
| 502 | long modelDataSize = statBuffer.st_size; |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 503 | if (modelDataSize <= 0) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 504 | { |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 505 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "Wrong cached model size!", cb); |
| 506 | return V1_0::ErrorStatus::NONE; |
| 507 | } |
| 508 | std::vector<uint8_t> modelData(modelDataSize); |
| 509 | pread(cachedFd, modelData.data(), modelData.size(), 0); |
| 510 | hashValue ^= CacheDataHandlerInstance().Hash(modelData); |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 511 | |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 512 | // For GpuAcc numberOfCachedFiles is 1 |
| 513 | if (backend == armnn::Compute::GpuAcc) |
| 514 | { |
| 515 | gpuAccCachedFd = cachedFd; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 516 | } |
| 517 | } |
| 518 | index += numberOfCacheFiles; |
| 519 | } |
| 520 | } |
| 521 | } |
| 522 | |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 523 | if (!CacheDataHandlerInstance().Validate(token, hashValue, dataCacheData.size())) |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 524 | { |
| 525 | ALOGW("ArmnnDriverImpl::prepareModelFromCache: ValidateHash() failed!"); |
| 526 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, "ValidateHash Failed!", cb); |
| 527 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 528 | } |
| 529 | |
| 530 | // Deserialize the network.. |
Sadik Armagan | ee6818b | 2021-11-05 14:41:52 +0000 | [diff] [blame] | 531 | armnn::INetworkPtr network = armnn::INetworkPtr(nullptr, [](armnn::INetwork*){}); |
| 532 | try |
| 533 | { |
| 534 | network = armnnDeserializer::IDeserializer::Create()->CreateNetworkFromBinary(dataCacheData); |
| 535 | } |
| 536 | catch (std::exception& e) |
| 537 | { |
| 538 | std::stringstream message; |
| 539 | message << "Exception (" << e.what() << ") caught from Deserializer."; |
| 540 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 541 | return V1_0::ErrorStatus::GENERAL_FAILURE; |
| 542 | } |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 543 | |
| 544 | // Optimize the network |
| 545 | armnn::IOptimizedNetworkPtr optNet(nullptr, nullptr); |
| 546 | armnn::OptimizerOptions OptOptions; |
| 547 | OptOptions.m_ReduceFp32ToFp16 = float32ToFloat16; |
| 548 | OptOptions.m_ProfilingEnabled = options.IsGpuProfilingEnabled(); |
| 549 | |
| 550 | armnn::BackendOptions gpuAcc("GpuAcc", |
| 551 | { |
| 552 | {"FastMathEnabled", options.IsFastMathEnabled()}, |
| 553 | {"SaveCachedNetwork", saveCachedNetwork}, |
| 554 | {"CachedNetworkFilePath", options.GetCachedNetworkFilePath()}, |
| 555 | {"MLGOTuningFilePath", options.GetClMLGOTunedParametersFile()}, |
| 556 | {"CachedFileDescriptor", gpuAccCachedFd} |
| 557 | }); |
| 558 | |
| 559 | armnn::BackendOptions cpuAcc("CpuAcc", |
| 560 | { |
| 561 | {"FastMathEnabled", options.IsFastMathEnabled()}, |
| 562 | {"NumberOfThreads", options.GetNumberOfThreads()} |
| 563 | }); |
| 564 | OptOptions.m_ModelOptions.push_back(gpuAcc); |
| 565 | OptOptions.m_ModelOptions.push_back(cpuAcc); |
| 566 | |
| 567 | std::vector<std::string> errMessages; |
| 568 | try |
| 569 | { |
| 570 | optNet = armnn::Optimize(*network.get(), |
| 571 | options.GetBackends(), |
| 572 | runtime->GetDeviceSpec(), |
| 573 | OptOptions, |
| 574 | errMessages); |
| 575 | } |
| 576 | catch (std::exception& e) |
| 577 | { |
| 578 | std::stringstream message; |
| 579 | message << "Exception (" << e.what() << ") caught from optimize."; |
| 580 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 581 | return V1_0::ErrorStatus::NONE; |
| 582 | } |
| 583 | |
| 584 | // Check that the optimized network is valid. |
| 585 | if (!optNet) |
| 586 | { |
| 587 | std::stringstream message; |
| 588 | message << "Invalid optimized network"; |
| 589 | for (const std::string& msg : errMessages) |
| 590 | { |
| 591 | message << "\n" << msg; |
| 592 | } |
| 593 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 594 | return V1_0::ErrorStatus::NONE; |
| 595 | } |
| 596 | |
| 597 | // Export the optimized network graph to a dot file if an output dump directory |
| 598 | // has been specified in the drivers' arguments. |
| 599 | std::string dotGraphFileName = ExportNetworkGraphToDotFile(*optNet, |
| 600 | options.GetRequestInputsAndOutputsDumpDir()); |
| 601 | |
| 602 | // Load it into the runtime. |
| 603 | armnn::NetworkId netId = 0; |
| 604 | std::string msg; |
| 605 | armnn::INetworkProperties networkProperties(options.isAsyncModelExecutionEnabled(), |
| 606 | MemorySource::Undefined, |
| 607 | MemorySource::Undefined, |
| 608 | options.IsGpuProfilingEnabled()); |
| 609 | |
| 610 | try |
| 611 | { |
| 612 | if (runtime->LoadNetwork(netId, move(optNet), msg, networkProperties) != armnn::Status::Success) |
| 613 | { |
| 614 | return FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, msg, cb); |
| 615 | } |
| 616 | } |
| 617 | catch (std::exception& e) |
| 618 | { |
| 619 | std::stringstream message; |
| 620 | message << "Exception (" << e.what() << ") caught from LoadNetwork."; |
| 621 | FailPrepareModel(V1_0::ErrorStatus::GENERAL_FAILURE, message.str(), cb); |
| 622 | return V1_0::ErrorStatus::NONE; |
| 623 | } |
| 624 | |
| 625 | std::unique_ptr<ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>> preparedModel( |
| 626 | new ArmnnPreparedModel_1_2<hal_1_2::HalPolicy>( |
| 627 | netId, |
| 628 | runtime.get(), |
| 629 | options.GetRequestInputsAndOutputsDumpDir(), |
| 630 | options.IsGpuProfilingEnabled(), |
| 631 | options.isAsyncModelExecutionEnabled(), |
| 632 | options.getNoOfArmnnThreads(), |
| 633 | true)); |
| 634 | |
| 635 | NotifyCallbackAndCheck(cb, V1_0::ErrorStatus::NONE, preparedModel.release()); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 636 | return V1_0::ErrorStatus::NONE; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 637 | } |
| 638 | |
| 639 | Return<void> ArmnnDriverImpl::getCapabilities_1_2(const armnn::IRuntimePtr& runtime, |
| 640 | V1_2::IDevice::getCapabilities_1_2_cb cb) |
| 641 | { |
| 642 | ALOGV("hal_1_2::ArmnnDriverImpl::getCapabilities()"); |
| 643 | |
| 644 | V1_2::Capabilities capabilities; |
| 645 | |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 646 | float defaultValue = .1f; |
| 647 | |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 648 | if (runtime) |
| 649 | { |
| 650 | capabilities.relaxedFloat32toFloat16PerformanceScalar.execTime = |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 651 | ParseSystemProperty(g_RelaxedFloat32toFloat16PerformanceExecTime, defaultValue); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 652 | |
Kevin May | 2eaa119 | 2020-04-15 16:50:57 +0100 | [diff] [blame] | 653 | capabilities.relaxedFloat32toFloat16PerformanceScalar.powerUsage = |
| 654 | ParseSystemProperty(g_RelaxedFloat32toFloat16PerformancePowerUsage, defaultValue); |
| 655 | |
| 656 | capabilities.relaxedFloat32toFloat16PerformanceTensor.execTime = |
| 657 | ParseSystemProperty(g_RelaxedFloat32toFloat16PerformanceExecTime, defaultValue); |
| 658 | |
FinnWilliamsArm | df655ee | 2019-07-24 16:04:18 +0100 | [diff] [blame] | 659 | capabilities.relaxedFloat32toFloat16PerformanceTensor.powerUsage = |
| 660 | ParseSystemProperty(g_RelaxedFloat32toFloat16PerformancePowerUsage, defaultValue); |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 661 | |
| 662 | // Set the base value for all operand types |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 663 | #if defined(ARMNN_ANDROID_R) || defined(ARMNN_ANDROID_S) |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 664 | capabilities.operandPerformance = nonExtensionOperandPerformance<HalVersion::V1_2>({FLT_MAX, FLT_MAX}); |
| 665 | #else |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 666 | capabilities.operandPerformance = nonExtensionOperandPerformance({FLT_MAX, FLT_MAX}); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 667 | #endif |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 668 | |
| 669 | // Load supported operand types |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 670 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_FLOAT32, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 671 | { |
| 672 | .execTime = ParseSystemProperty(g_OperandTypeTensorFloat32PerformanceExecTime, defaultValue), |
| 673 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorFloat32PerformancePowerUsage, defaultValue) |
| 674 | }); |
| 675 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 676 | update(&capabilities.operandPerformance, V1_2::OperandType::FLOAT32, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 677 | { |
| 678 | .execTime = ParseSystemProperty(g_OperandTypeFloat32PerformanceExecTime, defaultValue), |
| 679 | .powerUsage = ParseSystemProperty(g_OperandTypeFloat32PerformancePowerUsage, defaultValue) |
| 680 | }); |
| 681 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 682 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_FLOAT16, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 683 | { |
| 684 | .execTime = ParseSystemProperty(g_OperandTypeTensorFloat16PerformanceExecTime, defaultValue), |
| 685 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorFloat16PerformancePowerUsage, defaultValue) |
| 686 | }); |
| 687 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 688 | update(&capabilities.operandPerformance, V1_2::OperandType::FLOAT16, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 689 | { |
| 690 | .execTime = ParseSystemProperty(g_OperandTypeFloat16PerformanceExecTime, defaultValue), |
| 691 | .powerUsage = ParseSystemProperty(g_OperandTypeFloat16PerformancePowerUsage, defaultValue) |
| 692 | }); |
| 693 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 694 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_QUANT8_ASYMM, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 695 | { |
| 696 | .execTime = ParseSystemProperty(g_OperandTypeTensorQuant8AsymmPerformanceExecTime, defaultValue), |
| 697 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorQuant8AsymmPerformancePowerUsage, defaultValue) |
| 698 | }); |
| 699 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 700 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_QUANT8_SYMM, |
Pablo Tello | fb45e2f | 2019-10-18 16:51:57 +0100 | [diff] [blame] | 701 | { |
| 702 | .execTime = ParseSystemProperty(g_OperandTypeTensorQuant8SymmPerformanceExecTime, defaultValue), |
| 703 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorQuant8SymmPerformancePowerUsage, defaultValue) |
| 704 | }); |
| 705 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 706 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_QUANT16_SYMM, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 707 | { |
| 708 | .execTime = ParseSystemProperty(g_OperandTypeTensorQuant16SymmPerformanceExecTime, defaultValue), |
| 709 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorQuant16SymmPerformancePowerUsage, defaultValue) |
| 710 | }); |
| 711 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 712 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL, |
Kevin May | 87cb761 | 2019-11-11 17:30:35 +0000 | [diff] [blame] | 713 | { |
| 714 | .execTime = |
| 715 | ParseSystemProperty(g_OperandTypeTensorQuant8SymmPerChannelPerformanceExecTime, defaultValue), |
| 716 | .powerUsage = |
| 717 | ParseSystemProperty(g_OperandTypeTensorQuant8SymmPerChannelPerformancePowerUsage, defaultValue) |
| 718 | }); |
| 719 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 720 | update(&capabilities.operandPerformance, V1_2::OperandType::TENSOR_INT32, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 721 | { |
| 722 | .execTime = ParseSystemProperty(g_OperandTypeTensorInt32PerformanceExecTime, defaultValue), |
| 723 | .powerUsage = ParseSystemProperty(g_OperandTypeTensorInt32PerformancePowerUsage, defaultValue) |
| 724 | }); |
| 725 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 726 | update(&capabilities.operandPerformance, V1_2::OperandType::INT32, |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 727 | { |
| 728 | .execTime = ParseSystemProperty(g_OperandTypeInt32PerformanceExecTime, defaultValue), |
| 729 | .powerUsage = ParseSystemProperty(g_OperandTypeInt32PerformancePowerUsage, defaultValue) |
| 730 | }); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 731 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 732 | cb(V1_0::ErrorStatus::NONE, capabilities); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 733 | } |
| 734 | else |
| 735 | { |
Kevin May | 2eaa119 | 2020-04-15 16:50:57 +0100 | [diff] [blame] | 736 | capabilities.relaxedFloat32toFloat16PerformanceScalar.execTime = 0; |
| 737 | capabilities.relaxedFloat32toFloat16PerformanceScalar.powerUsage = 0; |
| 738 | capabilities.relaxedFloat32toFloat16PerformanceTensor.execTime = 0; |
| 739 | capabilities.relaxedFloat32toFloat16PerformanceTensor.powerUsage = 0; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 740 | |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 741 | // Set the base value for all operand types |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 742 | #if defined(ARMNN_ANDROID_R) || defined(ARMNN_ANDROID_S) |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 743 | capabilities.operandPerformance = nonExtensionOperandPerformance<HalVersion::V1_2>({0.f, 0.0f}); |
| 744 | #else |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 745 | capabilities.operandPerformance = nonExtensionOperandPerformance({0.f, 0.0f}); |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 746 | #endif |
Ferran Balaguer | d7c8eb9 | 2019-07-01 13:37:44 +0100 | [diff] [blame] | 747 | |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 748 | cb(V1_0::ErrorStatus::DEVICE_UNAVAILABLE, capabilities); |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 749 | } |
| 750 | |
| 751 | return Void(); |
| 752 | } |
| 753 | |
| 754 | } // namespace hal_1_2 |
Kevin May | ec1e5b8 | 2020-02-26 17:00:39 +0000 | [diff] [blame] | 755 | } // namespace armnn_driver |