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utils.cc 1.8 kB

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  1. /**
  2. * Copyright 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 "attr_options.h"
  17. #include <vector>
  18. #include "graph/debug/ge_attr_define.h"
  19. #include "common/util/error_manager/error_manager.h"
  20. namespace ge {
  21. namespace {
  22. const std::string CFG_PRE_OPTYPE = "OpType::";
  23. }
  24. bool IsOriginalOpFind(OpDescPtr &op_desc, const std::string &op_name) {
  25. std::string attrOp = op_name;
  26. std::vector<std::string> original_op_names;
  27. bool istype = IsContainOpType(op_name, attrOp);
  28. if (!istype) {
  29. if (!AttrUtils::GetListStr(op_desc, ATTR_NAME_DATA_DUMP_ORIGIN_OP_NAMES, original_op_names)) {
  30. return false;
  31. }
  32. } else {
  33. if (!AttrUtils::GetListStr(op_desc, ATTR_NAME_DATA_DUMP_ORIGIN_DATA_TYPE, original_op_names)) {
  34. return false;
  35. }
  36. }
  37. for (auto &origin_name : original_op_names) {
  38. if (origin_name == attrOp) {
  39. return true;
  40. }
  41. }
  42. return false;
  43. }
  44. bool IsContainOpType(const std::string &cfg_line, std::string &op_type) {
  45. op_type = cfg_line;
  46. size_t pos = op_type.find(CFG_PRE_OPTYPE);
  47. if (pos != std::string::npos) {
  48. op_type = cfg_line.substr(pos+CFG_PRE_OPTYPE.length());
  49. return true;
  50. }
  51. return false;
  52. }
  53. } // 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