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dump_op.cc 12 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include "common/dump/dump_op.h"
  17. #include "common/dump/dump_manager.h"
  18. #include "common/ge/datatype_util.h"
  19. #include "framework/common/debug/ge_log.h"
  20. #include "framework/common/util.h"
  21. #include "framework/common/types.h"
  22. #include "graph/anchor.h"
  23. #include "graph/ge_tensor.h"
  24. #include "graph/op_desc.h"
  25. #include "graph/utils/tensor_utils.h"
  26. #include "proto/ge_ir.pb.h"
  27. #include "proto/op_mapping_info.pb.h"
  28. #include "runtime/mem.h"
  29. #include "aicpu/common/aicpu_task_struct.h"
  30. namespace {
  31. const uint32_t kAicpuLoadFlag = 1;
  32. const char *const kDumpOutput = "output";
  33. const char *const kDumpInput = "input";
  34. const char *const kDumpAll = "all";
  35. const char *const kDumpKernelsDumpOp = "DumpDataInfo";
  36. } // namespace
  37. namespace ge {
  38. DumpOp::~DumpOp() {
  39. if (proto_dev_mem_ != nullptr) {
  40. (void)rtFree(proto_dev_mem_);
  41. }
  42. if (proto_size_dev_mem_ != nullptr) {
  43. (void)rtFree(proto_size_dev_mem_);
  44. }
  45. proto_dev_mem_ = nullptr;
  46. proto_size_dev_mem_ = nullptr;
  47. }
  48. void DumpOp::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond) {
  49. global_step_ = reinterpret_cast<uintptr_t>(global_step);
  50. loop_per_iter_ = reinterpret_cast<uintptr_t>(loop_per_iter);
  51. loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
  52. }
  53. void DumpOp::SetDynamicModelInfo(const string &dynamic_model_name, const string &dynamic_om_name,
  54. uint32_t dynamic_model_id) {
  55. dynamic_model_name_ = dynamic_model_name;
  56. dynamic_om_name_ = dynamic_om_name;
  57. dynamic_model_id_ = dynamic_model_id;
  58. }
  59. static void SetOpMappingLoopAddr(uintptr_t step_id, uintptr_t loop_per_iter, uintptr_t loop_cond,
  60. aicpu::dump::OpMappingInfo &op_mapping_info) {
  61. if (step_id != 0) {
  62. GELOGI("step_id exists.");
  63. op_mapping_info.set_step_id_addr(static_cast<uint64_t>(step_id));
  64. } else {
  65. GELOGI("step_id is null.");
  66. }
  67. if (loop_per_iter != 0) {
  68. GELOGI("loop_per_iter exists.");
  69. op_mapping_info.set_iterations_per_loop_addr(static_cast<uint64_t>(loop_per_iter));
  70. } else {
  71. GELOGI("loop_per_iter is null.");
  72. }
  73. if (loop_cond != 0) {
  74. GELOGI("loop_cond exists.");
  75. op_mapping_info.set_loop_cond_addr(static_cast<uint64_t>(loop_cond));
  76. } else {
  77. GELOGI("loop_cond is null.");
  78. }
  79. }
  80. Status DumpOp::DumpOutput(aicpu::dump::Task &task) {
  81. GELOGI("Start dump output in Launch dump op");
  82. const auto &output_descs = op_desc_->GetAllOutputsDesc();
  83. for (size_t i = 0; i < output_descs.size(); ++i) {
  84. aicpu::dump::Output output;
  85. output.set_data_type(static_cast<int32_t>(DataTypeUtil::GetIrDataType(output_descs.at(i).GetDataType())));
  86. output.set_format(static_cast<int32_t>(output_descs.at(i).GetFormat()));
  87. for (auto dim : output_descs.at(i).GetShape().GetDims()) {
  88. output.mutable_shape()->add_dim(dim);
  89. }
  90. for (auto dim : output_descs.at(i).GetOriginShape().GetDims()) {
  91. output.mutable_origin_shape()->add_dim(dim);
  92. }
  93. int64_t output_size = 0;
  94. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  95. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "Get output size filed");
  96. return ACL_ERROR_GE_INTERNAL_ERROR;
  97. }
  98. GELOGD("Get output size in lanch dump op is %ld", output_size);
  99. output.set_size(output_size);
  100. output.set_address(static_cast<uint64_t>(output_addrs_[i]));
  101. task.mutable_output()->Add(std::move(output));
  102. }
  103. return SUCCESS;
  104. }
  105. Status DumpOp::DumpInput(aicpu::dump::Task &task) {
  106. GELOGI("Start dump input in Launch dump op");
  107. const auto &input_descs = op_desc_->GetAllInputsDesc();
  108. for (size_t i = 0; i < input_descs.size(); ++i) {
  109. aicpu::dump::Input input;
  110. input.set_data_type(static_cast<int32_t>(DataTypeUtil::GetIrDataType(input_descs.at(i).GetDataType())));
  111. input.set_format(static_cast<int32_t>(input_descs.at(i).GetFormat()));
  112. for (auto dim : input_descs.at(i).GetShape().GetDims()) {
  113. input.mutable_shape()->add_dim(dim);
  114. }
  115. for (auto dim : input_descs.at(i).GetOriginShape().GetDims()) {
  116. input.mutable_origin_shape()->add_dim(dim);
  117. }
  118. int64_t input_size = 0;
  119. if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  120. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "Get output size filed");
  121. return ACL_ERROR_GE_INTERNAL_ERROR;
  122. }
  123. GELOGD("Get input size in lanch dump op is %ld", input_size);
  124. input.set_size(input_size);
  125. input.set_address(static_cast<uint64_t>(input_addrs_[i]));
  126. task.mutable_input()->Add(std::move(input));
  127. }
  128. return SUCCESS;
  129. }
  130. void DumpOp::SetDumpInfo(const DumpProperties &dump_properties, const OpDescPtr &op_desc, vector<uintptr_t> input_addrs,
  131. vector<uintptr_t> output_addrs, rtStream_t stream) {
  132. dump_properties_ = dump_properties;
  133. op_desc_ = op_desc;
  134. input_addrs_ = input_addrs;
  135. output_addrs_ = output_addrs;
  136. stream_ = stream;
  137. }
  138. Status DumpOp::ExecutorDumpOp(aicpu::dump::OpMappingInfo &op_mapping_info) {
  139. std::string proto_msg;
  140. size_t proto_size = op_mapping_info.ByteSizeLong();
  141. bool ret = op_mapping_info.SerializeToString(&proto_msg);
  142. if (!ret || proto_size == 0) {
  143. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "Protobuf serialize failed, proto_size is %zu", proto_size);
  144. return ACL_ERROR_GE_INTERNAL_ERROR;
  145. }
  146. rtError_t rt_ret = rtMalloc(&proto_dev_mem_, proto_size, RT_MEMORY_HBM);
  147. if (rt_ret != RT_ERROR_NONE) {
  148. GELOGE(rt_ret, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  149. return RT_ERROR_TO_GE_STATUS(rt_ret);
  150. }
  151. rt_ret = rtMemcpy(proto_dev_mem_, proto_size, proto_msg.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  152. if (rt_ret != RT_ERROR_NONE) {
  153. GELOGE(rt_ret, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  154. return RT_ERROR_TO_GE_STATUS(rt_ret);
  155. }
  156. rt_ret = rtMalloc(&proto_size_dev_mem_, sizeof(size_t), RT_MEMORY_HBM);
  157. if (rt_ret != RT_ERROR_NONE) {
  158. GELOGE(rt_ret, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  159. return RT_ERROR_TO_GE_STATUS(rt_ret);
  160. }
  161. rt_ret = rtMemcpy(proto_size_dev_mem_, sizeof(size_t), &proto_size, sizeof(size_t), RT_MEMCPY_HOST_TO_DEVICE);
  162. if (rt_ret != RT_ERROR_NONE) {
  163. GELOGE(rt_ret, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  164. return RT_ERROR_TO_GE_STATUS(rt_ret);
  165. }
  166. constexpr int32_t io_addr_num = 2;
  167. constexpr uint32_t args_size = sizeof(aicpu::AicpuParamHead) + io_addr_num * sizeof(uint64_t);
  168. char args[args_size] = {0};
  169. auto param_head = reinterpret_cast<aicpu::AicpuParamHead *>(args);
  170. param_head->length = args_size;
  171. param_head->ioAddrNum = io_addr_num;
  172. auto io_addr = reinterpret_cast<uint64_t *>(args + sizeof(aicpu::AicpuParamHead));
  173. io_addr[0] = reinterpret_cast<uintptr_t>(proto_dev_mem_);
  174. io_addr[1] = reinterpret_cast<uintptr_t>(proto_size_dev_mem_);
  175. rt_ret = rtCpuKernelLaunch(nullptr, kDumpKernelsDumpOp,
  176. 1, // blockDim default 1
  177. args, args_size,
  178. nullptr, // no need smDesc
  179. stream_);
  180. if (rt_ret != RT_ERROR_NONE) {
  181. GELOGE(rt_ret, "Call rtCpuKernelLaunch failed,rt_ret:0x%X", rt_ret);
  182. return RT_ERROR_TO_GE_STATUS(rt_ret);
  183. }
  184. GELOGI("Kernel launch dump op success");
  185. return SUCCESS;
  186. }
  187. Status DumpOp::SetDumpModelName(aicpu::dump::OpMappingInfo &op_mapping_info) {
  188. if (dynamic_model_name_.empty() && dynamic_om_name_.empty()) {
  189. GELOGI("Single op dump, no need set model name");
  190. return SUCCESS;
  191. }
  192. std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
  193. bool not_find_by_omname = model_list.find(dynamic_om_name_) == model_list.end();
  194. bool not_find_by_modelname = model_list.find(dynamic_model_name_) == model_list.end();
  195. std::string dump_model_name = not_find_by_omname ? dynamic_model_name_ : dynamic_om_name_;
  196. if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
  197. if (not_find_by_omname && not_find_by_modelname) {
  198. std::string model_list_str;
  199. for (auto &model : model_list) {
  200. model_list_str += "[" + model + "].";
  201. }
  202. GELOGW("Model %s will not be set to dump, dump list: %s", dump_model_name.c_str(), model_list_str.c_str());
  203. return FAILED;
  204. }
  205. }
  206. if (!dump_model_name.empty() && dump_properties_.IsDumpOpen()) {
  207. GELOGD("Dump model name is %s", dump_model_name.c_str());
  208. op_mapping_info.set_model_name(dump_model_name);
  209. }
  210. return SUCCESS;
  211. }
  212. Status DumpOp::LaunchDumpOp() {
  213. GELOGI("Start to launch dump op %s", op_desc_->GetName().c_str());
  214. int32_t device_id = 0;
  215. rtError_t rt_ret = rtGetDevice(&device_id);
  216. if (rt_ret != RT_ERROR_NONE) {
  217. GELOGE(rt_ret, "Call rtGetDevice failed, ret = 0x%X, device_id = %d.", rt_ret, device_id);
  218. return RT_ERROR_TO_GE_STATUS(rt_ret);
  219. }
  220. if (device_id < 0) {
  221. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "Check device_id failed, device_id = %d, which should be not less than 0.",
  222. device_id);
  223. return ACL_ERROR_GE_INTERNAL_ERROR;
  224. }
  225. aicpu::dump::OpMappingInfo op_mapping_info;
  226. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id) + "/";
  227. op_mapping_info.set_dump_path(dump_path);
  228. op_mapping_info.set_flag(kAicpuLoadFlag);
  229. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  230. op_mapping_info.set_model_id(dynamic_model_id_);
  231. if (SetDumpModelName(op_mapping_info) != SUCCESS) {
  232. return SUCCESS;
  233. }
  234. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  235. GELOGI("Dump step is %s ,dump path is %s in Launch dump op", dump_properties_.GetDumpStep().c_str(),
  236. dump_path.c_str());
  237. uint32_t task_id = 0;
  238. uint32_t stream_id = 0;
  239. rt_ret = rtGetTaskIdAndStreamID(&task_id, &stream_id);
  240. if (rt_ret != RT_ERROR_NONE) {
  241. GELOGW("call rtGetTaskIdAndStreamID failed, ret = 0x%X", rt_ret);
  242. }
  243. aicpu::dump::Task task;
  244. task.set_task_id(task_id);
  245. task.set_stream_id(stream_id);
  246. task.mutable_op()->set_op_name(op_desc_->GetName());
  247. task.mutable_op()->set_op_type(op_desc_->GetType());
  248. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  249. auto ret = DumpOutput(task);
  250. if (ret != SUCCESS) {
  251. GELOGE(ret, "Dump output failed");
  252. return ret;
  253. }
  254. op_mapping_info.mutable_task()->Add(std::move(task));
  255. }
  256. if (dump_properties_.GetDumpMode() == kDumpInput) {
  257. auto ret = DumpInput(task);
  258. if (ret != SUCCESS) {
  259. GELOGE(ret, "Dump input failed");
  260. return ret;
  261. }
  262. op_mapping_info.mutable_task()->Add(std::move(task));
  263. }
  264. if (dump_properties_.GetDumpMode() == kDumpAll || dump_properties_.IsOpDebugOpen()) {
  265. auto ret = DumpOutput(task);
  266. if (ret != SUCCESS) {
  267. GELOGE(ret, "Dump output failed when in dumping all");
  268. return ret;
  269. }
  270. ret = DumpInput(task);
  271. if (ret != SUCCESS) {
  272. GELOGE(ret, "Dump input failed when in dumping all");
  273. return ret;
  274. }
  275. op_mapping_info.mutable_task()->Add(std::move(task));
  276. }
  277. auto ret = ExecutorDumpOp(op_mapping_info);
  278. if (ret != SUCCESS) {
  279. GELOGE(ret, "Executor dump op failed");
  280. return ret;
  281. }
  282. return SUCCESS;
  283. }
  284. } // namespace ge

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示