tidl_api/src/executor.cpp

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  28
  29 #include <assert.h>
  30 #include "executor.h"
  31 #include "executor_impl.h"
  32 #include "parameters.h"
  33 #include "util.h"
  34 #include "trace.h"
  35
  36
  37 using namespace tidl;
  38
  39 using std::unique_ptr;
  40
  41 Executor::Executor(DeviceType core_type, const DeviceIds& ids,
  42                    const Configuration& configuration, int layers_group_id)
  43 {
  44     pimpl_m = unique_ptr<ExecutorImpl>
  45               { new ExecutorImpl(core_type, ids, layers_group_id) };
  46     pimpl_m->Initialize(configuration);
  47 }
  48
  49
  50
  51 // Pointer to implementation idiom: https://herbsutter.com/gotw/_100/:
  52 // Both unique_ptr and shared_ptr can be instantiated with an incomplete type
  53 // unique_ptr's destructor requires a complete type in order to invoke delete
  54 // By writing it yourself in the implementation file, you force it to be
  55 // defined in a place where impl is already defined, and this successfully
  56 // prevents the compiler from trying to automatically generate the destructor
  57 // on demand in the caller’s code where impl is not defined.
  58 Executor::~Executor() = default;
  59
  60 uint32_t Executor::GetNumDevices(DeviceType device_type)
  61 {
  62     return Device::GetNumDevices(device_type);
  63 }
  64
  65 #define STRING(S)  XSTRING(S)
  66 #define XSTRING(S) #S
  67 std::string Executor::GetAPIVersion()
  68 {
  69     static std::string version = STRING(_BUILD_VER);
  70     version += ".";
  71     version += STRING(_BUILD_SHA);
  72     return version;
  73 }
  74
  75
  76 ExecutorImpl::ExecutorImpl(DeviceType core_type, const DeviceIds& ids,
  77                            int layers_group_id):
  78     configuration_m(),
  79     shared_networkparam_heap_m(nullptr, &__free_ddr),
  80     device_ids_m(ids),
  81     core_type_m(core_type),
  82     layers_group_id_m(layers_group_id)
  83 {
  84     std::string name;
  85     if (core_type_m == DeviceType::DSP)
  86         name  = "";
  87     else if (core_type_m == DeviceType::EVE)
  88         name = STRING(SETUP_KERNEL) ";" STRING(INIT_KERNEL) ";" STRING(PROCESS_KERNEL) ";" STRING(CLEANUP_KERNEL);
  89
  90     device_m = Device::Create(core_type_m, ids, name);
  91 }
  92
  93
  94 const ExecutionObjects& Executor::GetExecutionObjects() const
  95 {
  96     return pimpl_m->execution_objects_m;
  97 }
  98
  99 ExecutionObject* Executor::operator[](uint32_t index) const
 100 {
 101     assert(index < pimpl_m->execution_objects_m.size());
 102     return pimpl_m->execution_objects_m[index].get();
 103 }
 104
 105 bool ExecutorImpl::Initialize(const Configuration& configuration)
 106 {
 107     configuration_m = configuration;
 108
 109     // Allocate, initialize TIDL_CreateParams object
 110     up_malloc_ddr<TIDL_CreateParams> shared_createparam(
 111                                             malloc_ddr<TIDL_CreateParams>(),
 112                                             &__free_ddr);
 113     InitializeNetworkCreateParam(shared_createparam.get());
 114
 115     // Read network from file into network struct in TIDL_CreateParams
 116     sTIDL_Network_t *net = &(shared_createparam.get())->net;
 117
 118     bool status = ReadBinary(configuration_m.netBinFile,
 119                              reinterpret_cast<char *>(net),
 120                              sizeof(sTIDL_Network_t));
 121     assert(status != false);
 122
 123     // Force to run full network if runFullNet is set
 124     if (configuration.runFullNet)
 125     {
 126         for (int i = 0; i < net->numLayers; i++)
 127             if (net->TIDLLayers[i].layerType != TIDL_DataLayer)
 128                 net->TIDLLayers[i].layersGroupId = layers_group_id_m;
 129     }
 130
 131     // If the user has specified an override mapping, apply it
 132     else if (!configuration.layerIndex2LayerGroupId.empty())
 133     {
 134         for (const auto &item : configuration.layerIndex2LayerGroupId)
 135             if (item.first < net->numLayers)
 136                 net->TIDLLayers[item.first].layersGroupId = item.second;
 137     }
 138
 139     // Call a setup kernel to allocate and fill network parameters
 140     InitializeNetworkParams(shared_createparam.get());
 141
 142     const ArgInfo create_arg(shared_createparam.get(),
 143                              sizeof(TIDL_CreateParams));
 144     const ArgInfo param_heap_arg(shared_networkparam_heap_m.get(),
 145                                  configuration_m.PARAM_HEAP_SIZE);
 146     for (auto ids : device_ids_m)
 147     {
 148         uint8_t index = static_cast<uint8_t>(ids);
 149         execution_objects_m.push_back(
 150              unique_ptr<ExecutionObject>
 151              {new ExecutionObject(device_m.get(), index,
 152                                   create_arg, param_heap_arg,
 153                                   configuration_m.EXTMEM_HEAP_SIZE,
 154                                   layers_group_id_m,
 155                                   configuration_m.enableOutputTrace,
 156                                   configuration_m.enableInternalInput)} );
 157     }
 158
 159     for (auto &eo : execution_objects_m)
 160         eo->RunAsync(ExecutionObject::CallType::INIT);
 161
 162     for (auto &eo : execution_objects_m)
 163         eo->Wait(ExecutionObject::CallType::INIT);
 164
 165     return true;
 166 }
 167
 168
 169 bool ExecutorImpl::InitializeNetworkParams(TIDL_CreateParams *cp)
 170 {
 171     // Determine size of network parameters buffer, allocate it
 172     size_t networkparam_size =
 173                         GetBinaryFileSize(configuration_m.paramsBinFile);
 174
 175     up_malloc_ddr<char> networkparam(malloc_ddr<char>(networkparam_size),
 176                                 &__free_ddr);
 177
 178     // Read network parameters from bin file into buffer
 179     bool status = ReadBinary(configuration_m.paramsBinFile,
 180                              networkparam.get(),
 181                              networkparam_size);
 182     assert(status != false);
 183
 184     // Allocate a buffer for passing parameters to the kernel
 185     up_malloc_ddr<OCL_TIDL_SetupParams> setupParams(
 186                                             malloc_ddr<OCL_TIDL_SetupParams>(),
 187                                             &__free_ddr);
 188
 189     setupParams->enableTrace = OCL_TIDL_TRACE_OFF;
 190     setupParams->networkParamHeapSize = configuration_m.PARAM_HEAP_SIZE;
 191     setupParams->noZeroCoeffsPercentage = configuration_m.noZeroCoeffsPercentage;
 192     setupParams->sizeofTIDL_CreateParams = sizeof(TIDL_CreateParams);
 193     setupParams->offsetofNet = offsetof(TIDL_CreateParams, net);
 194
 195     // Allocate buffer for a network parameter heap. Used by the setup
 196     // kernel to allocate and initialize network parameters for the layers
 197     shared_networkparam_heap_m.reset(malloc_ddr<char>(setupParams->networkParamHeapSize));
 198
 199     KernelArgs args = { DeviceArgInfo(cp, sizeof(TIDL_CreateParams),
 200                                       DeviceArgInfo::Kind::BUFFER),
 201                         DeviceArgInfo(networkparam.get(), networkparam_size,
 202                                       DeviceArgInfo::Kind::BUFFER),
 203                         DeviceArgInfo(shared_networkparam_heap_m.get(),
 204                                       setupParams->networkParamHeapSize,
 205                                       DeviceArgInfo::Kind::BUFFER),
 206                         DeviceArgInfo(setupParams.get(),
 207                                       sizeof(OCL_TIDL_SetupParams),
 208                                       DeviceArgInfo::Kind::BUFFER) };
 209
 210     // Execute kernel on first available device in the Executor
 211     uint8_t id = static_cast<uint8_t>(*(device_ids_m.cbegin()));
 212     unique_ptr<Kernel> K {new Kernel(device_m.get(), STRING(SETUP_KERNEL),
 213                                      args, id)};
 214     K->RunAsync();
 215     K->Wait();
 216
 217     if (setupParams->errorCode != OCL_TIDL_SUCCESS)
 218         throw Exception(setupParams->errorCode,
 219                         __FILE__, __FUNCTION__, __LINE__);
 220
 221     return status;
 222 }
 223
 224
 225 void ExecutorImpl::Cleanup()
 226 {
 227     for (auto &eo : execution_objects_m)
 228         eo->RunAsync(ExecutionObject::CallType::CLEANUP);
 229
 230     for (auto &eo : execution_objects_m)
 231         eo->Wait(ExecutionObject::CallType::CLEANUP);
 232 }
 233
 234
 235 void ExecutorImpl::InitializeNetworkCreateParam(TIDL_CreateParams *CP)
 236 {
 237     CP->currCoreId           = layers_group_id_m;
 238     CP->currLayersGroupId    = layers_group_id_m;
 239     CP->l1MemSize            = tidl::internal::DMEM0_SIZE;
 240     CP->l2MemSize            = tidl::internal::DMEM1_SIZE;
 241     CP->l3MemSize            = tidl::internal::OCMC_SIZE;
 242
 243     CP->quantHistoryParam1   = tidl::internal::QUANT_HISTORY_PARAM1;
 244     CP->quantHistoryParam2   = tidl::internal::QUANT_HISTORY_PARAM2;
 245     CP->quantMargin          = tidl::internal::QUANT_MARGIN;
 246
 247     // If trace is enabled, setup the device TIDL library to allocate separate
 248     // output buffers for each layer. This makes it possible for the host
 249     // to access the output of each layer after a frame is processed.
 250     if (configuration_m.enableOutputTrace)
 251         CP->optimiseExtMem       = TIDL_optimiseExtMemL0;
 252     else
 253         CP->optimiseExtMem       = TIDL_optimiseExtMemL1;
 254 }
 255
 256 Exception::Exception(const std::string& error, const std::string& file,
 257                      const std::string& func, uint32_t line_no)
 258 {
 259
 260     message_m = "TIDL Error: [";
 261     message_m += file;
 262     message_m += ", ";
 263     message_m += func;
 264     message_m += ", ";
 265     message_m += std::to_string(line_no);
 266     message_m += "]: ";
 267     message_m += error;
 268 }
 269
 270 Exception::Exception(int32_t errorCode, const std::string& file,
 271                      const std::string& func, uint32_t line_no)
 272 {
 273     message_m = "TIDL Error: [";
 274     message_m += file;
 275     message_m += ", ";
 276     message_m += func;
 277     message_m += ", ";
 278     message_m += std::to_string(line_no);
 279     message_m += "]: ";
 280
 281     if (errorCode == OCL_TIDL_ERROR)
 282         message_m += "";
 283     else if (errorCode == OCL_TIDL_ALLOC_FAIL)
 284         message_m += "Allocation failed on device";
 285     else if (errorCode == OCL_TIDL_MEMREC_ALLOC_FAIL)
 286         message_m += "Memrec allocation failed on device";
 287     else if (errorCode == OCL_TIDL_PROCESS_FAIL)
 288         message_m += "Process call failed on device";
 289     else if (errorCode == OCL_TIDL_CREATE_PARAMS_MISMATCH)
 290         message_m += "TIDL_CreateParams definition inconsistent across host"
 291                      "and device.";
 292     else
 293         message_m += std::to_string(errorCode);
 294
 295 }
 296
 297 const char* Exception::what() const noexcept
 298 {
 299     return message_m.c_str();
 300 }