You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

stop_gradient_pass.cc 1.4 kB

5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142
  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 "graph/passes/stop_gradient_pass.h"
  17. #include <string>
  18. namespace ge {
  19. Status StopGradientPass::Run(NodePtr &node) {
  20. if (node == nullptr) {
  21. REPORT_INNER_ERROR("E19999", "Param node is nullptr, check invalid");
  22. GELOGE(FAILED, "[Check][Param] parameter node is nullptr.");
  23. return FAILED;
  24. }
  25. string type;
  26. Status status_ret = GetOriginalType(node, type);
  27. if (status_ret != SUCCESS) {
  28. REPORT_CALL_ERROR("E19999", "Get OriginalType of op:%s(%s) failed",
  29. node->GetName().c_str(), node->GetType().c_str());
  30. GELOGE(status_ret, "[Get][OriginalType] of op:%s(%s) failed",
  31. node->GetName().c_str(), node->GetType().c_str());
  32. return status_ret;
  33. }
  34. if (type == STOPGRADIENT) {
  35. return IsolateAndDeleteNode(node, {0});
  36. }
  37. return SUCCESS;
  38. }
  39. } // 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