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dump_op.cc 11 kB

5 years ago
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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 "graph/anchor.h"
  22. #include "graph/ge_tensor.h"
  23. #include "graph/op_desc.h"
  24. #include "graph/utils/tensor_utils.h"
  25. #include "proto/ge_ir.pb.h"
  26. #include "proto/op_mapping_info.pb.h"
  27. #include "runtime/mem.h"
  28. #include "aicpu/common/aicpu_task_struct.h"
  29. namespace {
  30. const uint32_t kAicpuLoadFlag = 1;
  31. const char *const kDumpOutput = "output";
  32. const char *const kDumpInput = "input";
  33. const char *const kDumpAll = "all";
  34. const char *const kDumpKernelsDumpOp = "DumpDataInfo";
  35. } // namespace
  36. namespace ge {
  37. DumpOp::~DumpOp() {
  38. if (proto_dev_mem_ != nullptr) {
  39. (void)rtFree(proto_dev_mem_);
  40. }
  41. if (proto_size_dev_mem_ != nullptr) {
  42. (void)rtFree(proto_size_dev_mem_);
  43. }
  44. proto_dev_mem_ = nullptr;
  45. proto_size_dev_mem_ = nullptr;
  46. }
  47. void DumpOp::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond) {
  48. global_step_ = reinterpret_cast<uintptr_t>(global_step);
  49. loop_per_iter_ = reinterpret_cast<uintptr_t>(loop_per_iter);
  50. loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
  51. }
  52. void DumpOp::SetDynamicModelInfo(const string &dynamic_model_name, uint32_t dynamic_model_id) {
  53. dynamic_model_name_ = dynamic_model_name;
  54. dynamic_model_id_ = dynamic_model_id;
  55. }
  56. static void SetOpMappingLoopAddr(uintptr_t step_id, uintptr_t loop_per_iter, uintptr_t loop_cond,
  57. aicpu::dump::OpMappingInfo &op_mapping_info) {
  58. if (step_id != 0) {
  59. GELOGI("step_id exists.");
  60. op_mapping_info.set_step_id_addr(static_cast<uint64_t>(step_id));
  61. } else {
  62. GELOGI("step_id is null.");
  63. }
  64. if (loop_per_iter != 0) {
  65. GELOGI("loop_per_iter exists.");
  66. op_mapping_info.set_iterations_per_loop_addr(static_cast<uint64_t>(loop_per_iter));
  67. } else {
  68. GELOGI("loop_per_iter is null.");
  69. }
  70. if (loop_cond != 0) {
  71. GELOGI("loop_cond exists.");
  72. op_mapping_info.set_loop_cond_addr(static_cast<uint64_t>(loop_cond));
  73. } else {
  74. GELOGI("loop_cond is null.");
  75. }
  76. }
  77. Status DumpOp::DumpOutput(aicpu::dump::Task &task) {
  78. GELOGI("Start dump output in Launch dump op");
  79. const auto &output_descs = op_desc_->GetAllOutputsDesc();
  80. for (size_t i = 0; i < output_descs.size(); ++i) {
  81. aicpu::dump::Output output;
  82. output.set_data_type(static_cast<int32_t>(DataTypeUtil::GetIrDataType(output_descs.at(i).GetDataType())));
  83. output.set_format(static_cast<int32_t>(output_descs.at(i).GetFormat()));
  84. for (auto dim : output_descs.at(i).GetShape().GetDims()) {
  85. output.mutable_shape()->add_dim(dim);
  86. }
  87. for (auto dim : output_descs.at(i).GetOriginShape().GetDims()) {
  88. output.mutable_origin_shape()->add_dim(dim);
  89. }
  90. int64_t output_size = 0;
  91. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  92. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[Get][Param]Get output size failed, output_size:%d.", output_size);
  93. REPORT_INNER_ERROR("E19999", "Get output size failed, output_size:%d.", output_size);
  94. return ACL_ERROR_GE_INTERNAL_ERROR;
  95. }
  96. GELOGD("Get output size in lanch dump op is %ld", output_size);
  97. output.set_size(output_size);
  98. output.set_address(static_cast<uint64_t>(output_addrs_[i]));
  99. task.mutable_output()->Add(std::move(output));
  100. }
  101. return SUCCESS;
  102. }
  103. Status DumpOp::DumpInput(aicpu::dump::Task &task) {
  104. GELOGI("Start dump input in Launch dump op");
  105. const auto &input_descs = op_desc_->GetAllInputsDesc();
  106. for (size_t i = 0; i < input_descs.size(); ++i) {
  107. aicpu::dump::Input input;
  108. input.set_data_type(static_cast<int32_t>(DataTypeUtil::GetIrDataType(input_descs.at(i).GetDataType())));
  109. input.set_format(static_cast<int32_t>(input_descs.at(i).GetFormat()));
  110. for (auto dim : input_descs.at(i).GetShape().GetDims()) {
  111. input.mutable_shape()->add_dim(dim);
  112. }
  113. for (auto dim : input_descs.at(i).GetOriginShape().GetDims()) {
  114. input.mutable_origin_shape()->add_dim(dim);
  115. }
  116. int64_t input_size = 0;
  117. if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  118. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[Get][Param]Get input size failed, input_size:%d.", input_size);
  119. REPORT_INNER_ERROR("E19999", "Get input size failed, input_size:%d.", input_size);
  120. return ACL_ERROR_GE_INTERNAL_ERROR;
  121. }
  122. GELOGD("Get input size in lanch dump op is %ld", input_size);
  123. input.set_size(input_size);
  124. input.set_address(static_cast<uint64_t>(input_addrs_[i]));
  125. task.mutable_input()->Add(std::move(input));
  126. }
  127. return SUCCESS;
  128. }
  129. void DumpOp::SetDumpInfo(const DumpProperties &dump_properties, const OpDescPtr &op_desc, vector<uintptr_t> input_addrs,
  130. vector<uintptr_t> output_addrs, rtStream_t stream) {
  131. dump_properties_ = dump_properties;
  132. op_desc_ = op_desc;
  133. input_addrs_ = input_addrs;
  134. output_addrs_ = output_addrs;
  135. stream_ = stream;
  136. }
  137. Status DumpOp::ExecutorDumpOp(aicpu::dump::OpMappingInfo &op_mapping_info) {
  138. std::string proto_msg;
  139. size_t proto_size = op_mapping_info.ByteSizeLong();
  140. bool ret = op_mapping_info.SerializeToString(&proto_msg);
  141. if (!ret || proto_size == 0) {
  142. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[Serialize][Protobuf]Failed, proto_size:%zu.", proto_size);
  143. REPORT_INNER_ERROR("E19999", "Serialize protobuf failed, proto_size:%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, "[Malloc][ProtoDevMem]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, "[Copy][ProtoDevMem]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, "[Malloc][ProtoSizeDevMem]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, "[Copy][ProtoSizeDevMem]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::LaunchDumpOp() {
  188. GELOGI("Start to launch dump op %s", op_desc_->GetName().c_str());
  189. int32_t device_id = 0;
  190. rtError_t rt_ret = rtGetDevice(&device_id);
  191. if (rt_ret != RT_ERROR_NONE) {
  192. GELOGE(rt_ret, "[Call][rtGetDevice]Failed, ret:0x%X, device_id:%d.", rt_ret, device_id);
  193. return RT_ERROR_TO_GE_STATUS(rt_ret);
  194. }
  195. if (device_id < 0) {
  196. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR,
  197. "[Check][DeviceId]Failed, device_id:%d, which should be not less than 0.",
  198. device_id);
  199. return ACL_ERROR_GE_INTERNAL_ERROR;
  200. }
  201. aicpu::dump::OpMappingInfo op_mapping_info;
  202. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id) + "/";
  203. op_mapping_info.set_dump_path(dump_path);
  204. op_mapping_info.set_flag(kAicpuLoadFlag);
  205. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  206. op_mapping_info.set_model_id(dynamic_model_id_);
  207. if (!dynamic_model_name_.empty() && dump_properties_.IsDumpOpen()) {
  208. op_mapping_info.set_model_name(dynamic_model_name_);
  209. }
  210. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  211. GELOGI("Dump step is %s ,dump path is %s ,in Launch dump op", dump_properties_.GetDumpStep().c_str(),
  212. dump_path.c_str());
  213. uint32_t task_id = 0;
  214. uint32_t stream_id = 0;
  215. rt_ret = rtGetTaskIdAndStreamID(&task_id, &stream_id);
  216. if (rt_ret != RT_ERROR_NONE) {
  217. GELOGW("call rtGetTaskIdAndStreamID failed, ret = 0x%X", rt_ret);
  218. }
  219. aicpu::dump::Task task;
  220. task.set_task_id(task_id);
  221. task.set_stream_id(stream_id);
  222. task.mutable_op()->set_op_name(op_desc_->GetName());
  223. task.mutable_op()->set_op_type(op_desc_->GetType());
  224. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  225. auto ret = DumpOutput(task);
  226. if (ret != SUCCESS) {
  227. GELOGE(ret, "[Dump][Output]Failed, error_code:%u.", ret);
  228. return ret;
  229. }
  230. op_mapping_info.mutable_task()->Add(std::move(task));
  231. }
  232. if (dump_properties_.GetDumpMode() == kDumpInput) {
  233. auto ret = DumpInput(task);
  234. if (ret != SUCCESS) {
  235. GELOGE(ret, "[Dump][Input]Failed, error_code:%u.", ret);
  236. return ret;
  237. }
  238. op_mapping_info.mutable_task()->Add(std::move(task));
  239. }
  240. if (dump_properties_.GetDumpMode() == kDumpAll || dump_properties_.IsOpDebugOpen()) {
  241. auto ret = DumpOutput(task);
  242. if (ret != SUCCESS) {
  243. GELOGE(ret, "[Dump][Output]Failed when in dumping all, error_code:%u.", ret);
  244. return ret;
  245. }
  246. ret = DumpInput(task);
  247. if (ret != SUCCESS) {
  248. GELOGE(ret, "[Dump][Input]Failed when in dumping all, error_code:%u.", ret);
  249. return ret;
  250. }
  251. op_mapping_info.mutable_task()->Add(std::move(task));
  252. }
  253. auto ret = ExecutorDumpOp(op_mapping_info);
  254. if (ret != SUCCESS) {
  255. GELOGE(ret, "[Dump][Op]Failed, error_code:%u.", ret);
  256. return ret;
  257. }
  258. return SUCCESS;
  259. }
  260. } // namesapce 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